AI Litigation: How to Use New Tech to Upgrade Old Workflows

Artificial intelligence (AI) is changing how litigation work gets done. Lawyers can use it to review information faster, prepare certain documents, organize case materials, and reduce some of the manual work tied to discovery.

AI is shaping the cases appearing in court, too. Copyright owners, book authors, technology companies, and other parties are testing how existing law applies to AI development and use. Courts are being asked to determine questions involving training data, generated outputs, privacy, and liability.

An AI litigation tracker can help lawyers follow these AI disputes as new complaints, rulings, and appeals emerge. At the same time, litigation practices have their own decisions to make about where AI belongs in their workflows.

So, what should you know before bringing the technology into your legal work?

The Impact of Artificial Intelligence on Litigation

Artificial intelligence can change how much time lawyers spend on routine litigation work. Research can move faster, discovery documents can take less time to prepare, and large amounts of case information can become easier to review.

Attorney judgment still controls the final work product. AI simply changes how some of the underlying work gets handled.

Optimizing Research

Ask a lawyer who practiced before online legal databases about research, and you will probably hear how much time it once required.

Digital repositories changed that. Client expectations changed along with them. Research that once might have taken several days can now be expected much sooner.

AI is pushing that timeline again.

Some legal research systems use natural language processing to understand questions written in ordinary language and identify potentially useful authorities.

More advanced systems may use retrieval-augmented generation, which combines search with generated responses that draw from selected source material.

These tools can shorten the first stage of research considerably. Lawyers still need to check the authorities, read the underlying cases, and decide how the law applies to the facts in front of them.

Saving Time

AI litigation tools can reduce the amount of manual work involved in the discovery response process.

Discovery is a good example because much of the work follows a repeatable structure. Requests have to be reviewed, objections considered, client information collected, and responses drafted in the correct format.

Briefpoint focuses specifically on this part of litigation. Its AI platform helps lawyers prepare and propound interrogatories, RFAs, and RFPs while supporting the formatting requirements of all 50 states and 98 federal district courts.

According to Briefpoint, firms using the software save more than 30 hours per case on average.

Automation can help maintain consistent language as well. Attorneys remain responsible for reviewing the responses and making the case-specific decisions that affect what is ultimately served.

Reducing Barriers to Legal Assistance

Legal services can be expensive, and some people abandon legitimate claims because they do not know where to begin or cannot afford extensive legal help.

Software has made certain types of legal information easier to access. Some services can explain procedures, collect basic case information, or prepare initial documents based on information supplied by a user.

There are clear limits. An automatically generated suit may still contain weak claims, procedural errors, or incorrect assumptions about the law. Easier access to legal tools therefore creates a separate need for careful review before anything reaches a court.

Skill Development for Legal Professionals

AI litigation tools are becoming part of everyday legal work, which means attorneys and support staff need to know how to use them responsibly.

AI is not designed to take over the work of legal professionals. Lawyers still have to evaluate the facts, apply the law, communicate with clients, and make strategic decisions.

The practical challenge is learning where AI saves meaningful time and where human review needs to remain intensive.

Training should cover the actual software used in the practice, its limitations, data handling practices, and the steps lawyers are expected to take before relying on an output. As the technology changes, those internal standards will probably need to change with it.

Better Decision Making

Some litigation tools are beginning to help lawyers organize information in ways that can support strategy.

A system might identify recurring issues in prior cases, surface similar rulings, or summarize patterns in a large body of documents. Predictive tools may provide another layer of information about how comparable matters have developed.

None of those outputs can tell a lawyer what the final outcome of a case will be.

They can, however, give attorneys another source of information to consider when evaluating a claim, preparing an argument, or deciding how much weight to place on a particular piece of evidence.

Reviewing Large Volumes of Evidence

Large cases and lawsuits can involve thousands of emails, records, attachments, and other documents that attorneys need to sort through before they can understand what is actually important.

AI models can help with that first pass. Machine learning systems can group similar documents, identify recurring names or topics, and surface material that may deserve closer review.

Some AI applications can also summarize lengthy records or help lawyers search case materials using ordinary questions rather than rigid search terms.

Generative AI technology can make this process more accessible, but the results still need human review. AI outputs may miss context, misunderstand a document, or place too much weight on information that turns out to be minor.

Data protection deserves attention here as well. Evidence can contain confidential business records, personal information, and privileged communications, so firms should understand how a provider handles uploaded material before using AI technologies on case files.

Used carefully, these tools can make document-heavy litigation easier to review while leaving evidentiary and strategic decisions with the attorney.

Customer Service

AI can play a limited role in client communication as well.

A chatbot, for example, can collect basic information before a lawyer responds or answer routine administrative questions about scheduling and document submission.

When a human response is required, the lawyer may already have some of the background needed to address the issue.

More sensitive conversations still call for a person. Clients dealing with litigation may be discussing financial loss, business problems, or personal harm, and automated responses are rarely a good substitute for careful legal communication in those situations.

How to Integrate AI Into Your Legal Practice

Bringing AI into a litigation practice works best when you start with a specific problem rather than adopting software simply because it is new.

Look at where lawyers and staff spend the most time, then decide which parts of that work are reasonable candidates for automation.

Assess Your Needs and Goals

Start with the work that consumes hours without requiring a new legal judgment every few minutes.

Discovery drafting may be one example. Initial document review, routine summaries, and repetitive formatting may be others.

Then decide what improvement you are actually looking for. You may want to reduce drafting time, improve consistency, or make a growing caseload easier to manage.

Clear priorities make software comparisons much easier. They also give you something concrete to measure after a tool has been introduced.

Research AI Tools for Litigation

Litigation software covers a wide range of work, so focus on what each product actually does.

Common categories include:

Legal research
Document drafting
Discovery management

Briefpoint, for example, is built around written discovery. Other products focus on document review, case research, or broader matter analysis.

Pay attention to how the software handles source material, what review controls it gives attorneys, and how information is stored. An impressive demonstration means very little if the product does not fit the work your practice handles every week.

Choose the Right Tools

The best choice will depend on the work you want to improve. Start with the functions you expect people to use frequently. Then look at how the software fits with your current systems and what safeguards exist for client information.

A useful checklist includes:

Features: Does the software handle the litigation work you want to improve?
Ease of use: Can attorneys and staff learn it without adding unnecessary friction?
Cost: Does the expected time savings justify the price?
Compatibility: Can it work with the systems already used in your practice?
Scalability: Will it remain useful as matter volume changes?
Security: Is client data protected from AI training or use to train AI models?

Train Your Team

Buying software does not mean people will know how to use it well.

Training should focus on real tasks people already perform. A discovery lawyer could practice reviewing generated objections. Litigation support staff could learn how documents are uploaded, organized, and exported.

People should understand what the system can handle and where they are expected to intervene.

Training should cover mistakes, too. Showing users what a bad output looks like can be just as useful as demonstrating the ideal workflow.

Start With a Pilot Project

A limited pilot gives you a chance to see how the software performs on real work before expanding its use.

You might start with one discovery matter or a defined category of routine documents.

During the pilot, look at:

Time saved
Accuracy of the output
Problems users encountered
Attorney review time
Changes needed in the workflow

The point is to gather enough information to decide whether the software deserves a larger role.

Integrate AI Into Workflows

Once a tool has performed well in a pilot, map out where it fits into the existing process.

Suppose a litigation team is reviewing a large production. Software might handle an initial pass through the documents and identify material that deserves closer attention. Attorneys can then spend more time on documents that affect strategy, privilege, or important factual disputes.

Discovery drafting can follow a similar model. AI may prepare an initial response, while the lawyer reviews objections and revises the language before service.

People should know where automation begins, where it ends, and who is responsible for the final decision.

Monitor Performance and Outcomes

Keep measuring the tool after the rollout.

Useful metrics may include:

Time saved
Error rates
Cost per matter
Adoption rates
Attorney review time
Client feedback

A product that looked useful during procurement may behave differently once it is handling real matters every week.

Regular review gives the practice a chance to adjust the workflow, retrain users, or stop using a tool that is creating more work than it removes.

Prioritize Ethical and Legal Compliance

AI creates its own set of legal and professional questions.

Privacy is one concern. Depending on the information being processed, lawyers may need to consider laws such as the California Consumer Privacy Act, GDPR, HIPAA, or the Electronic Communications Privacy Act.

Cybersecurity laws can come into play as well. Unauthorized access to protected systems may raise issues under the Computer Fraud and Abuse Act.

Lawyers should understand how a vendor stores information, which related services may receive access to it, and whether data is used for training or another secondary purpose.

AI-generated work should receive attorney review before it is filed, served, or relied on. Incorrect citations, missing context, or inaccurate summaries can create real problems once they enter the record.

Are Humans Still Superior?

AI can handle a growing amount of legal work, but it cannot reproduce the judgment that develops through years of practice.

A lawyer has to understand the client, the procedural posture, opposing counsel, the judge, and the practical consequences of a decision. Software operates on the information it receives.

Trained professionals are therefore unlikely to disappear from legal practice. Their work may change as routine tasks become easier to automate.

The effect on legal assistants and other support roles is harder to predict. Some responsibilities may become more automated, while others may shift toward reviewing outputs and managing technology-assisted processes.

New Case Areas

AI litigation also covers lawsuits arising from the technology itself. Copyright claims have received much of the attention so far, with plaintiffs alleging that AI developers used protected works to train models without permission.

Claims may involve direct copyright infringement or contributory copyright infringement of intellectual property, depending on the facts.

Book authors, visual artists, media companies, and other rights holders have sued AI developers over training data and generated outputs. OpenAI Inc. and Stability AI are among the companies named in these disputes.

Courts are still working through questions involving fair use, proof of copying, and unauthorized use. Some rulings may reach appellate courts through an interlocutory appeal before a final outcome.

Procedural issues could grow as similar claims accumulate. Some cases may raise questions about class action treatment or multi-district litigation.

Major rights holders are watching these developments closely because the rulings could affect how AI companies obtain training material and how copyright owners enforce their rights.

Legal Aspects AI May Influence

Copyright receives much of the attention, but it is only one area where artificial intelligence is creating new legal questions.

Privacy Matters

AI systems may process enormous amounts of personal information.

Facial recognition technology has already produced disputes over biometric information, consent, and surveillance. Other AI products may create privacy concerns when they ingest communications, location data, consumer records, or other personal information.

The legal issue often comes down to what data was collected, how it was obtained, what notice the person received, and whether the company had permission to use it.

Antitrust

The AI market requires enormous amounts of computing power, data, and capital.

As a small number of companies gain significant control over models and infrastructure, regulators may examine licensing arrangements, distribution agreements, or other conduct that could limit competition.

AI-related antitrust litigation may therefore focus on familiar legal questions even though the technology itself is new.

Liability

AI can create difficult questions about responsibility when a product causes injury or financial loss.

A product liability case involving autonomous technology, for example, might examine a design defect in the underlying system. Expert testimony could become important in explaining how the model behaved and whether a safer alternative was available.

Potential defendants might include a developer, manufacturer, operator, or another business involved in providing the system.

Courts will have to determine how existing liability rules apply when a product makes decisions with limited direct human involvement.

Discrimination

AI systems learn from data, and problems in that data can affect the results they produce.

An automated hiring system might treat certain applicants differently. A tenant-screening tool could produce unequal outcomes. Facial recognition software has raised its own concerns about accuracy among different demographic groups.

Discrimination claims involving AI will often turn on how the system was built, what information it considered, and what effect its use had on the plaintiffs.

Companies deploying these products should understand the legal rules that already apply to the underlying decision, even when AI is involved.

It’s Time to Bring AI Into Your Litigation Workflows

AI can take a meaningful amount of repetitive work off your plate, particularly when you apply it to tasks with a clear process and keep attorney judgment where it belongs.

Discovery is a strong place to start. Briefpoint helps lawyers draft and respond to interrogatories, RFAs, and RFPs in all 50 states and 98 federal district courts.

You can generate discovery requests from a complaint, apply firm-approved objection and response language through Discovery Playbooks, and export Word-ready drafts for review.

Briefpoint Bridge can collect client answers and files through a secure link, including plain-English questions and Spanish translation.

For document-heavy RFPs, Autodoc finds responsive files, creates Bates-cited responses, and prepares a Bates-numbered production package.

All of that can remove hours of underlying discovery work while leaving the final decisions in your hands.

Want to see what your discovery process could look like with less manual drafting?

Book your discovery call today!

FAQs About AI Litigation

How is AI being used in litigation?

Lawyers use AI for work such as legal research, document review, discovery drafting, case organization, and document summaries. Some tools can process large amounts of information quickly, but attorneys still need to review the results before relying on them in court or serving them on other parties.

What is the 30% rule for AI?

There is no single legal rule known universally as the “30% rule” for AI. The phrase can refer to different guidelines or informal benchmarks depending on the context. If you encounter it in a specific court opinion, policy, or AI dispute, check the underlying source before treating it as a legal standard.

What AI tools are currently available to the legal industry?

Legal professionals can choose from research tools, document review software, discovery automation products, and broader generative AI systems. Briefpoint focuses specifically on written discovery and helps law firms prepare discovery requests and responses while keeping the documents editable for attorney review.

What are some of the biggest legal issues facing generative AI developers?

Copyright remains one of the most closely watched areas. Plaintiffs have accused developers of copying protected works during model training and, in some cases, producing infringing outputs. Privacy, product liability, discrimination, and data access claims are developing at the same time. Courts may dismiss some theories while allowing others to proceed, so the outcome will depend on the facts, the claims asserted, and how appellate courts interpret existing law.

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5 Best AI Software For Law Firms in 2026

Artificial intelligence is becoming a practical part of how law firms manage legal work, and the range of legal AI platforms available has expanded quickly.

Key legal tasks like research, contract review, and discovery responses can now be handled with far less manual effort, which can give you more room to focus on work that depends on legal judgment and experience.

For many firms, the question is no longer whether to incorporate AI, but where AI technology can make the biggest difference.

Adoption is already moving quickly. According to Thomson Reuters, 41% of law firms and 47% of corporate legal departments reported using generative AI in 2026.

As these tools become more established in legal work, choosing the right software becomes increasingly important. In this guide, you’ll get a closer look at some of the best AI software for law firms, what each platform does well, and how to decide where AI fits into your own practice.

The Integration of AI Into The Legal Industry

AI is becoming a more practical part of legal work, especially in areas where large amounts of information have to be reviewed, organized, or turned into usable drafts.

Tasks such as contract review, legal research, discovery drafting, and document analysis can take significant time before an attorney reaches the more complex legal work.

AI can help reduce that burden by surfacing relevant information faster, identifying patterns in documents, and preparing first-pass material for review, among many other functions. In legal operations, it can also support intake, billing, scheduling, client communication, and more.

More advanced AI tools are starting to fit into broader legal workflows by giving firms new ways to manage routine work while keeping attorney judgment at the center of the process.

Used carefully, the technology can improve efficiency by enabling attorneys to spend less time on repetitive preparation and more time on strategy, advocacy, and client work.

Still, the strongest results usually come when the team focuses AI on tasks that are structured enough to automate but still benefit from human review.

What Are The Best AI Tools for Lawyers?

Whether you’re looking to cut down on paperwork, speed up research, or stay more organized, there’s an AI tool for that. Here are some of the best options to help your firm work smarter:

1. Briefpoint

Briefpoint is an AI discovery platform built specifically for written discovery rather than broad legal tasks handled by general AI tools.

It can help you propound and respond to interrogatories, requests for admission, and requests for production in all 50 states and 98 federal district courts.

Its key features cover much more than first-pass drafting. Briefpoint can apply objections, collect client answers and files through Client Bridge, generate Word-ready drafts, and support RFP production with Bates-cited responses and production packages.

Discovery Playbooks can also help firms apply their preferred objection and response strategies more consistently from case to case.

The platform keeps attorney review at the center of the workflow, with documents available for revision in Word before they are served. It is built for discovery work rather than court filings generally, so its focus stays on one of the more repetitive parts of litigation.

Best Features

Discovery drafting: Drafts and responds to interrogatories, RFAs, and RFPs using jurisdiction-ready formatting.
Client Bridge: Collects client answers and supporting files through a secure link, with English and Spanish support.
Autodoc: Reviews RFPs and case files, identifies responsive documents, and generates Bates-cited Word responses with production packages.
Discovery Playbooks: Applies firm-specific objection and response strategies more consistently.
Word-ready output: Lets attorneys review and revise generated documents in Microsoft Word before service.
Supplemental responses: Helps update prior discovery responses while keeping earlier answers available for reference.

Pros

Covers written discovery in all 50 states and 98 federal district courts
Handles both propounding and responding to discovery
Reduces repetitive drafting and document-production work
Keeps attorney review in the workflow
Supports client response and document collection
Produces Bates-cited RFP responses and production packages

Book a Briefpoint demo.

2. Clio

Clio is a cloud-based legal practice management platform that helps law firms manage cases, billing, documents, client communication, and day-to-day administrative work in one system.

Team members can access matter information remotely, track deadlines, record time, and communicate with clients through secure tools designed for the legal field.

Source: G2

Clio has expanded its AI capabilities as well. Depending on the product and plan, firms can use AI for tasks such as drafting client updates, summarizing matter information, analyzing documents, and conducting legal research.

Plus, Clio says firm data is encrypted in transit and at rest and is not used to train its AI models, an important consideration when handling sensitive client data.

Best Features

Case management: Keeps matter details, contacts, documents, tasks, and deadlines organized in one place.
Billing and invoicing: Supports time tracking, billing, online payments, and trust accounting.
Client portal: Gives clients a secure place to exchange messages, make payments, and follow matter updates.
Document management: Provides unlimited document storage across its current plans.
AI capabilities: Supports AI-assisted administrative work, with broader legal research and analysis available through Clio Work.
Integrations: Connects with commonly used business and legal applications.

Pros

Combines practice management and legal AI capabilities
Gives team members centralized access to matter information
Includes secure client communication tools
Offers cloud-based access from multiple devices
Supports billing, payments, and accounting workflows
Provides unlimited training and support on every plan

Pricing

Clio currently offers four main practice management plans: Starter, Core, Signature, and Elite. Starter begins at $49 per user per month, while Clio now directs prospective customers to request pricing for Core, Signature, and Elite.

Higher tiers add more automation, reporting, permissions, and workflow capabilities, with Elite including Clio Grow for client intake and CRM.

Clio does not offer a permanent free version, but it does provide free trials for eligible products. Higher plans provide broader functionality rather than simply higher usage limits.

3. Everlaw

Everlaw is an AI-driven e-discovery platform built to make litigation and investigations easier to manage.

Legal teams deal with massive amounts of documents, and sorting through them manually takes up valuable time. Everlaw speeds up the process with advanced search, machine learning, and collaboration tools, which help lawyers find key information faster.

Source: G2

It also makes organizing evidence and preparing for trial more efficient. Since it’s cloud-based, teams can access case files from anywhere, whether they’re in the office, in court, or working remotely.

Best Features

AI-powered search and review: Quickly scans and categorizes large volumes of legal documents to help lawyers find relevant information faster.
Collaborative case building: Allows teams to organize evidence, manage timelines, and prepare for trial in a shared workspace.
Integrated trial preparation: Includes tools for drafting arguments, managing depositions, and strategizing case presentations.
Cloud-based access: Work on cases from anywhere without worrying about software updates or security risks.

Pros

Speeds up document review with AI-powered search
Simplifies collaboration by keeping all case materials in one place

Frequent updates make sure the platform stays up to date
Cloud-based, so teams can access files from anywhere

Pricing

Everlaw’s pricing is currently not publicly available.

4. Harvey

Harvey is a generative AI platform built for legal professionals and in-house legal departments. It supports legal research, document review, contract drafting, and drafting briefs, while keeping human expertise at the center of the work.

Source: Harvey.ai

Legal professionals can use Harvey to analyze large document sets, answer legal and regulatory questions, generate first drafts, and work with legal content grounded in source material.

Transactional lawyers can use it to strengthen contractual clauses, identify inconsistencies, and prepare issue lists during negotiations. Litigators can use it for tasks such as case assessment, discovery analysis, legal briefs, motions, and trial preparation.

Harvey has also expanded beyond a traditional AI chatbot. Its current platform includes Agents, Vault, Workflows, Contract Intelligence, Spaces, and integrations with tools such as Microsoft Word.

Best Features

AI-powered drafting and editing: Generates first drafts of contracts, briefs, correspondence, and other legal documents, with editing available directly in Harvey and Microsoft Word.
Legal research: Helps answer complex legal, regulatory, and tax questions using legal sources and jurisdiction-specific research capabilities.
Contract intelligence: Supports contract review, negotiation, and portfolio analysis, including clause review and recommendations based on precedents, playbooks, or deal points.
Vault: Lets users securely organize and analyze large collections of legal documents in one environment.
Microsoft Word integration: Allows lawyers to ask questions about documents, revise language, and apply suggested edits as redlines without leaving Word.
AI agents and workflows: Can carry out multi-step legal workflows and produce review-ready work for attorneys to evaluate.

Pros

Supports both litigation and transactional legal work
Handles research, drafting, review, and document analysis in one platform
Integrates directly with Microsoft Word
Can analyze large volumes of documents and matter information
Gives lawyers tools for building custom workflows and using AI agents
Keeps attorney judgment and human expertise central to final legal work

Pricing

Harvey does not currently publish standard pricing on its website.

5. Docusign CLM

Docusign CLM is a contract lifecycle management platform that helps organizations create, review, approve, sign, store, and manage agreements within a structured workflow.

It is built around contract automation, with tools for generating initial drafts from templates, routing agreements for review, tracking versions, and keeping completed contracts in a searchable repository.

Source: G2

Whether you’re closing deals or purchasing supplies, Docusign CLM helps speed things up and reduces risks.

Its AI capabilities can flag non-compliant clauses, suggest approved language, draft new clauses, and extract contract data for reporting and analysis.

Docusign CLM also supports integrations with systems such as Salesforce and SAP Ariba, along with pre-built connectors and API access for connecting contract workflows to other business applications.

Best Features

Automated document generation: Creates contracts from dynamic templates and can populate agreements with data from systems such as Salesforce.
AI-assisted review: Flags non-compliant language, suggests approved clauses, and can help generate new clause language.
Workflow automation: Routes contracts through internal and external review using configurable workflows and detailed version control.
Centralized repository: Stores contracts in a searchable location and tracks obligations, renewals, and agreement metadata.
Integrations and API access: Connects with Salesforce, SAP Ariba, Coupa, and other business systems through integrations and APIs.
Audit trails and permissions: Tracks who took action and when, while role-based controls help manage access to contract information.

Pros

Covers much of the contract lifecycle in one system
Supports AI-assisted drafting and contract review
Integrates with widely used enterprise systems
Provides detailed version control and audit logs
Uses role-based access controls and enterprise-grade security practices
Makes contract data easier to search, report on, and analyze

Pricing

Docusign does not publish standard pricing for its CLM product.

How to Integrate AI Into Your Legal Practice

Bringing AI into your legal profession doesn’t mean replacing lawyers, but working smarter. Whether it’s cutting down on paperwork or making legal research faster, the right AI tools can make a big difference.

That said, we’ve compiled some tips on how to make the transition smoother:

Pinpoint the bottlenecks. What’s eating up the most time? If research, document drafting, or client intake slows things down, AI can take over those repetitive tasks.
Find the best legal AI tools. There’s no one-size-fits-all solution. Some legal AI solutions focus on contract review, while others assist with case management or billing. Choose what fits your firm’s workflow.
Start with an AI assistant. Instead of diving in headfirst, test an AI assistant for specific tasks, like summarizing case law or generating first drafts of legal documents.
Get your team on board: AI is only useful if people actually use it. Provide training and show how it saves time instead of adding extra steps.
Measure the impact: Track improvements in efficiency and accuracy. If something isn’t working, adjust your approach or explore different AI options.

How Can Legal AI Tools Benefit Lawyers?

Whether you’re managing a small practice or a large firm, AI can make legal work smoother and more efficient. Here’s how these tools can help.

Saves Time on Routine Tasks

Legal work involves a lot of repetitive tasks that take up valuable time. Luckily, AI can handle these in minutes. For example, it can:

Summarize legal documents
Schedule appointments
Research legal clauses
Prepare documentation
Draft communications

But instead of spending hours on menial yet necessary tasks, AI lets lawyers focus on strategy and case analysis. For firms handling a high volume of cases, AI speeds up workflows and makes sure that deadlines aren’t missed.

Reduces Errors and Improves Accuracy

Even the most detail-oriented lawyers can miss something in a long contract or case file. AI tools help by catching inconsistencies, flagging missing clauses, and cross-checking legal references.

They can scan thousands of pages in seconds, spotting risks that might go unnoticed in a manual review. This is a big deal in contract law, where a single misplaced word can cause legal trouble.

With AI handling the fine details, lawyers can feel more confident that everything is accurate before sending it off to a client or court.

Makes Case Management Easier

Keeping track of multiple cases can feel like a full-time job on its own. Court dates, deadlines, and client details end up buried in emails or spread across different files, making it way too easy to miss something important.

AI-powered case management systems help keep everything organized. They track deadlines, sort case files, and even send reminders when it’s time to file paperwork.

Instead of wasting time digging for documents, lawyers can pull up case histories, notes, and client messages in seconds.

Cuts Costs for Law Firms

Running a law firm isn’t cheap, and hiring extra staff for research, document prep, and case management only adds to the costs. AI helps firms cut expenses by automating these time-consuming tasks without lowering quality.

Rather than spending billable hours on routine work, lawyers can focus on high-value cases or take on more clients.

For example, a small firm using AI for contract review can save thousands per year by reducing the need for manual proofreading. This levels the playing field, which allows smaller firms to compete with larger ones without a huge support team.

Helps With Legal Research

Legal research takes up a huge chunk of time, but AI makes it faster and more efficient. Instead of manually digging through databases, lawyers can use AI-powered tools to pull relevant cases, statutes, and legal opinions in seconds.

Here’s how AI helps:

Instant case searches: AI scans thousands of legal documents and pulls the most relevant information based on keywords or legal questions.
Pattern recognition: Some AI tools highlight trends in case law so attorneys can build stronger arguments.
Precedent tracking: AI identifies key rulings that might otherwise be overlooked, which helps make sure cases are backed by solid legal precedent.
Faster summarization: AI can condense lengthy legal texts into key points, making it easier to review large amounts of information quickly.

Improves Client Communication

Clients expect quick responses, but lawyers can’t always drop everything to answer emails or take calls.

AI-powered chat tools can handle basic client inquiries, schedule consultations, and even collect initial case details. This keeps clients informed while freeing up attorneys for more complex legal services.

AI can also generate personalized updates so clients feel engaged without lawyers having to manually check in. By automating these small interactions, law firms improve client satisfaction while focusing their time where it’s needed most.

Give Discovery Work Back to Briefpoint

The best legal software gives you back time without forcing you to rethink every part of your practice. For solo practitioners and larger firms alike, AI can take on repetitive work, speed up routine drafting, and make everyday legal workflows easier to manage.

Discovery is one area where that time savings can be especially significant. Briefpoint helps automate written discovery by drafting responses, applying objections, collecting client input, and preparing Word-ready documents for attorney review.

It gives you a more structured way to handle recurring discovery work while keeping legal judgment in your hands.

If you want to spend less time drafting and formatting discovery responses, book a Briefpoint demo and see how it can fit into your workflow.

FAQs About AI Software for Law Firms

What is the best AI software for law firms?

The best AI software depends on the work you want to improve. Briefpoint is built for written discovery, while platforms like Harvey support broader legal research and drafting. Practice management tools such as Clio combine administrative workflows with AI features. Look for software that understands legal context, fits your existing process, and provides strong controls for sensitive data.

What type of AI do law firms use?

Law firms use several types of AI, including generative AI, natural language processing, machine learning, and predictive analytics. These technologies can support document review, legal research, drafting, case management, and analysis of electronically stored information. The right approach depends on the volume and type of legal information your firm handles.

Is Claude or ChatGPT better for lawyers?

Both can be useful for brainstorming, summarization, drafting, and general research support, but neither should be treated as a substitute for legal-specific software or attorney review. Lawyers should verify relevant case law, citations, and legal arguments independently, especially when the output could affect a client matter.

Can small law firms benefit from legal AI software?

Yes. Solo practitioners, plaintiff law firms, and smaller practices can use AI to reduce repetitive work without adding headcount. The main consideration is choosing a tool that matches the firm’s actual workload and provides appropriate safeguards, such as enterprise-grade security when confidential client information is involved.

How to Automate Legal Discovery in 2026 (Using AI)

Estimates suggest that lawyers only bill 2.6 hours during an 8-hour workday. What happens to the rest of your time?

Unfortunately, much of it goes on paperwork, such as legal discovery. Legal professionals spend vast tracts of their office hours performing non-billable tasks, which ultimately reduces their earning power and risks burnout.

Traditional legal discovery processes can be particularly demanding when large volumes of case material have to be reviewed and organized manually.

This has sparked a growing interest in automating legal discovery processes.

Today, law firms and individual attorneys want to save time and money by getting sophisticated software to streamline this workflow. As the volume of digital data involved in modern litigation grows, automation can help lawyers work through discovery without relying so heavily on manual processes.

Such technology now exists. For example, Briefpoint’s discovery document drafting software can save an estimated 87% of the time needed to create a response. Plus, these new tools don’t require sophisticated technical skills.

Not sure how to start?

In this article, we’ll explore how to automate legal discovery responses in your law firm, where AI fits into the process, and what to consider before implementing AI in your existing workflow

How to Automate Legal Discovery Responses

Automating legal discovery responses involves choosing appropriate software from the many options available on the market. The solution you select will determine how much you can reduce labor and increase your billable hours.

The following is a step-by-step guide to how the most advanced AI-powered software automates legal discovery responses.

These products balance the need to speed up work against the requirement for legal accuracy and compliance. The strongest AI-powered solutions give attorneys useful automation while leaving final legal decisions in the hands of human reviewers.

1. Analyze the Discovery Request

Discovery automation tools start by reading the request you received from opposing counsel.

Using artificial intelligence, the system scans the document, separates each interrogatory or request, and pulls out the important details. Modern AI systems can process language in context, which gives them capabilities that go well beyond simple keyword searches.

Then, the software organizes everything into a clean structure to give you a quick overview of the issues in play. That can support early case assessment because you can identify patterns, pressure points, or themes and start isolating key evidence sooner.

For example, Briefpoint uses machine learning and natural language processing to turn dense discovery requests into simple, organized lists. You can review each item clearly, think through discovery objections, and decide how it connects to your broader strategy or a potential motion.

AI-powered legal discovery can become even more useful when a matter involves substantial electronic data. Depending on the platform, legal technology can help organize electronically stored information and other relevant documents so attorneys have a clearer view of the material surrounding each request.

In short, you get clarity fast. The platform also recognizes formats used in all 50 states, so the structure aligns with local rules from the beginning.

2. Respond

Legal AI tools can help you respond faster to discovery requests using templates, objection libraries, and AI-generated suggestions.

Briefpoint gives you two main options. You can select relevant objections from a menu and insert them directly into your response, or let the software suggest objections and explain why they may apply. You can then review the AI outputs and edit them based on the facts of the legal case and applicable legal standards.

You can also add a substantive response to provide more context.

Briefpoint’s Bridge feature handles client data collection. It turns selected interrogatories into easy-to-understand questions, sends them to the client, and adds their answers to the discovery document.

Reducing repeated copying and manual entry can limit human error while making data collection easier to manage.

3. Download And Review

Finally, you will need to download and review the response document. Solutions vary in their usability. Some require using their integrated word-processing software, while others force you to use PDFs.

In contrast, Briefpoint lets you download your document into Microsoft Word, which probably integrates better into your workflow than a separate review platform.

You can see the edited document at any production stage and add or subtract from it whenever you want. Attorney review gives you a chance to confirm that the response is complete, accurate, and appropriate before producing documents or serving the final response.

How to Automate Legal Discovery

AI tools can also automate the creation of legal discovery documents, such as requests for admission, requests for production, and interrogatories.

These capabilities mean you can automate the initiation aspect of legal discovery work, not just the response. The same technology can support parts of the broader e-discovery workflow when firms need to organize electronic evidence or connect requests with responsive material.

1. Design Your Document

The first step is to draft your propounding discovery document. Solutions begin by collecting essential information to populate the request.

For instance, Briefpoint asks for information about the case name, request type (request for admission, request for production, or interrogatory), and the responding party.

You can also link it to an existing case or client or a new one.

A structured starting point reduces repetitive setup and gives the software the information needed for document generation and data processing.

2. Add Requests

The next step is to add your requests. Document automation software accelerates this process by including pre-built requests grouped by case type and theories of law.

Briefpoint lets you select interrogatories related to “auto torts” with a click and add them to your request.

More broadly, AI-powered tools can help lawyers find useful language faster and organize requests around the issues involved in a matter. The attorney can then adjust the language based on the facts, jurisdiction, and litigation strategy.

3. Document Review

The final step is to download and review your newly generated request document. Again, Briefpoint lets you edit it in Word, which is ready to attach to an email or print after the review process.

Review is particularly important when leveraging AI for legal work. Automation can prepare a strong starting point, but lawyers remain responsible for checking the final document and confirming that it meets the requirements of the matter.

If you want to learn more about Briefpoint’s process, book your demo today!

The Benefits of Automating Legal Discovery

Automating legal discovery work can save a significant amount of time and money.

The key benefits extend into the quality of the workflow itself. AI-driven discovery tools can help law firms reduce repetitive work, organize information more consistently, and create more room for the strategic aspects of handling a case.

Here’s a deeper look into how AI legal discovery can change the way you manage cases.

Reducing Errors in Discovery Responses

One of the biggest advantages of automation in legal discovery is reducing avoidable mistakes. A missed objection, incomplete response, or inconsistent language can create problems during legal proceedings.

AI technology can help by reviewing large volumes of requests, flagging relevant information, and applying consistent formatting.

More advanced e-discovery tools may use machine learning algorithms, predictive coding, or technology-assisted review to prioritize material based on likely relevance.

That added consistency can be useful when several matters have tight deadlines or regulatory compliance requirements.

For example, automation can:

Flag duplicate or overlapping requests
Suggest standard objections
Highlight missing responses
Keep formatting consistent with court rules

Picture a 30-question discovery set. Manual drafting makes it easier to miss a subpart or reuse the wrong objection. An automated system can build from a structured template, check for gaps, and give you a cleaner first draft to review.

Finding Relevant Evidence in Large Data Sets

Discovery can involve far more than written files. Emails, messages, PDFs, databases, electronic records, and other forms of digital evidence may all become part of the review process. Certain matters can involve audio and video evidence as well.

Advanced tools can help organize this information and extract meaningful insights from larger collections of material. Some platforms allow natural language queries, giving reviewers another way to search for concepts or events that may be difficult to capture with exact search terms.

Depending on the capabilities of the software, generative AI may help summarize material or identify connections within a collection. Other systems can identify patterns based on document characteristics and reviewer decisions.

Audio-based evidence and other nontraditional formats may require specialized tools, so firms should check what file types a platform actually supports before relying on it for a particular matter.

The purpose of the technology is to help attorneys reach potentially important information sooner while keeping lawyers involved in decisions about relevance and use.

Protecting Privileged Information

Handling large volumes of documents manually increases the risk of accidentally revealing privileged information.

Automation tools are designed to offer permissible tools to help you carefully craft responses while protecting sensitive data.

Some AI-powered systems can help flag material for privilege review or make it easier to isolate sensitive records before producing relevant documents. Firms still need review procedures that account for confidentiality, privilege, and their own obligations around data security.

When considering new software, look at how the provider stores information, who can access it, and what safeguards apply to client data. Those questions are increasingly important as legal AI becomes part of the wider legal landscape.

Improving Client Relationships

Discovery can quietly pull you away from your clients. Hours go to reviewing files, organizing responses, and tracking details. That leaves less time for real conversations about what the case means and where it’s heading.

When legal automation handles the repetitive parts, legal teams have more room to focus on the relationship itself. You can spend that time walking a client through risks, refining case strategy, or preparing them for a deposition.

Those conversations build confidence and show that you’re thinking ahead instead of reacting to paperwork.

For example:

Instead of emailing repeatedly to clarify interrogatory answers, you review organized responses and discuss strategy in one focused call
Instead of scrambling to finalize a production, you meet with the client to explain what the other side is likely to do next
Instead of spending hours formatting objections, you use that time to gain insight into facts that could shape a motion or negotiation

Clients notice quality. They notice when their attorney is present, prepared, and proactive. Automating discovery gives you more time to work with them on the substance of the matter.

Shifting Focus to Higher-Value Tasks

When automation handles repetitive steps, legal teams can put their energy somewhere more useful. You spend less time managing documents and more time thinking through strategy, preparing for hearings, or working through negotiations.

In a busy legal practice, focus matters. When your attention is tied up making sure every response is complete and formatted correctly, it becomes harder to step back and consider the bigger picture.

Automation clears some of that space. The draft is already structured, and the supporting details are easier to review.

Attorneys can spend the recovered time on more strategic aspects of a matter, including evaluating evidence, shaping arguments, and deciding how the case should move forward.

Improving Efficiency and Workflow

Discovery often slows down in small, avoidable ways. Someone is waiting for a document map. A draft needs formatting fixes. Bates numbers have to be double-checked. Each step may look minor on its own, but together they stretch the timeline.

Automation can smooth those pressure points. Requests are organized at the start, responsive files can be connected with the corresponding requests, and drafts come out structured and ready for review. Producing relevant documents becomes easier to coordinate when information is organized within the same workflow.

Some AI tools can support document review on a much larger scale, which is one reason they have become increasingly relevant to modern litigation. However, the quality of the result still depends on good inputs, clear review procedures, and appropriate attorney oversight.

Allowing legal teams to move through discovery with a clearer structure makes the work feel more controlled. You can discover gaps or inconsistencies earlier and keep matters progressing with fewer avoidable corrections.

What to Consider Before Implementing AI in Discovery

Adding automation to discovery requires more than choosing software and uploading a file. Your firm should understand where the technology fits into the existing workflow and where lawyer review remains necessary.

Start by considering the types of information you typically handle. A matter centered on written requests may require different capabilities from one involving massive collections of electronically stored records or other forms of electronic evidence.

You should also look at:

Accuracy and review controls: AI results should be easy for attorneys to verify before anything is served or produced.
Security: Review how the provider handles client information, permissions, retention, and storage.
Workflow fit: The platform should reduce work rather than create extra steps around uploading, exporting, or review.
Training resources: Lawyers and staff need to understand how the system works and where its limitations lie.
Compliance: Your process still has to satisfy applicable discovery obligations, court requirements, and professional duties.

AI can help with routine discovery work, but lawyers remain responsible for the legal judgment behind the final result.

Overhaul Your Discovery Workflow With Briefpoint

Discovery has a way of taking over your calendar.

One set turns into thousands of pages. Those pages can lead to hours of manual review, document mapping, drafting, formatting, Bates numbering, and assembling a production that still needs one more pass before it goes out the door.

Briefpoint was built to cut down that workload.

With Autodoc, you upload the complaint, RFPs, and production files. The system surfaces responsive documents for each request, generates a Word response with page-level Bates citations, and packages a production set that’s ready to serve.

What used to take up to 30–40 hours can move in minutes.

You still have control over the result. You can see where the system searched, confirm or remove files, tag privileged material, and edit everything in Word before anything leaves your office. That oversight is important whenever you’re using AI-powered legal tools on real case material.

AI can handle more of the underlying discovery work, leaving you with more time for strategy and the parts of legal practice that require your judgment.

If discovery has started to feel like a recurring time sink, it’s worth seeing what a different process looks like.

Schedule a demo and walk through your next set with Briefpoint.

FAQs About How to Automate Legal Discovery

How can law firms automate the discovery process?

Law firms can automate the discovery process by using software that drafts responses, organizes productions, applies formatting rules, and pulls relevant evidence into structured documents. Depending on the platform, the software may support document review, information organization, and other parts of the discovery workflow while keeping attorneys responsible for final decisions.

What tools do legal professionals use to automate discovery work?

Legal professionals use a range of platforms, including document automation software and AI-driven discovery tools. Some focus on written discovery, while broader eDiscovery tools can assist with reviewing large collections of electronic information. The right option depends on the type of work your firm wants to automate.

How does automation support legal teams during discovery?

Automation can reduce time spent on repetitive tasks like organizing material and preparing first drafts while helping legal teams find key information within large collections of case data. A structured workflow makes it easier to review the substance of a response and concentrate on decisions that require legal judgment.

Can discovery automation work at enterprise scale?

Yes. Some platforms are designed to handle high-volume discovery workflows involving large collections of information and multiple matters. Firms should evaluate scalability alongside review controls, security requirements, integration needs, and the types of evidence the platform can process.

Will automating the discovery process affect accuracy or quality?

Automation can improve consistency and reduce repetitive mistakes, but quality still depends on appropriate lawyer oversight. Attorneys should review generated language, verify cited material, and confirm that the final response reflects the facts and applicable obligations before it is served or produced.

7 Types of Paralegal Software (Use Cases and Examples)

Paralegal work can fill up a day quickly. You may be managing case files, preparing legal documents, checking court dates, following up on client information, and trying to complete assignments for several attorneys at once.

The right paralegal software can reduce some of that pressure. Instead of relying on manual entry or jumping between disconnected systems, you can use specialized tools to organize work, automate repetitive steps, and keep important details easier to find.

Modern law firms use software for everything from case management and document review to billing and legal research. Some platforms combine several functions in one system, while others focus on a specific part of the legal workflow.

Below are seven types of paralegal software programs worth knowing, along with examples of how they support day-to-day legal work and what Briefpoint can do for discovery.

Types of Legal Software for Paralegals

Most paralegals use more than one tool during the workday. A legal team may rely on case management software for matter information, document management software for files, and separate legal research platforms when preparing assignments.

The best setup depends on the size of the firm, the type of legal practice, and the work paralegals handle most often.

1. Practice Management Software

Practice management software gives law firms a central place to manage much of their day-to-day business.

Common features include:

Billing
Scheduling
Client management
Time tracking
Client intake
Client communications
Expense tracking
Reporting

Platforms such as Clio and MyCase combine several management tools in a single platform. Users can track matters, communicate through client portals, record billable hours, and keep a running to-do list for active files.

Many systems also let firms create custom dashboards so attorneys and staff can see deadlines, workloads, payments, or other firm data at a glance.

For paralegals, the biggest advantage is often having full visibility into the information connected to a matter instead of searching through several separate systems.

2. Case Management Software

Case management software focuses more closely on individual matters.

A case management system can hold client data, case documents, deadlines, notes, communications, and task assignments in one place.

Many case management tools also support deadline tracking and calendar integrations so paralegals can monitor hearings, filing dates, and other important events.

Products such as CaseFox and Rocket Matter are examples of case management systems used in the legal field.

Good case management can make it easier to manage multiple cases at the same time because the history of each matter stays organized. Some systems can also connect with billing software, email, Microsoft Teams, or other communication tools.

For someone starting a first paralegal job, learning how the firm’s case management system works is often one of the first practical skills to pick up.

3. Document Automation Tools

Drafting legal documents can take a significant amount of time when the same formatting, language, and case information must be entered repeatedly.

Document automation tools reduce that work by using templates, stored information, or automated workflows to prepare drafts faster.

They can be useful for:

Pleadings
Discovery requests
Discovery responses
Routine correspondence
Standard forms

Briefpoint is built specifically for written discovery. It can help prepare requests for production, requests for admission, interrogatories, and responses.

When you upload a discovery request, Briefpoint’s artificial intelligence extracts relevant information and prepares the document for review. You can add objections and responses, then finish the draft in Microsoft Word.

Bridge helps collect client answers through plain-language questionnaires and brings those responses back into the document. Autodoc can support document-heavy RFP work by identifying responsive files and preparing production materials.

For paralegals who spend hours drafting documents, these features can save hours while keeping attorney review in the process.

4. Legal Research Tools

Legal research is a common part of paralegal work, particularly when attorneys need background on case law, statutes, regulations, or procedural issues.

Legal research databases such as Westlaw and LexisNexis provide access to large collections of authorities that would be difficult to search manually.

Modern legal research platforms can help users:

Search case law
Review statutes and regulations
Check citations
Find related authorities
Organize research results

These tools are widely recognized throughout the legal industry and are commonly used in law offices of many sizes.

Legal research still requires careful review. A search result can point you in the right direction, but the person doing the research must confirm that the authority is current and relevant to the assignment.

For paralegal students, hands-on training with major research systems can be useful preparation for actual legal work.

5. Document Management Systems

Document management systems keep case files organized and searchable.

Platforms such as NetDocuments and iManage can help law firms store legal documents, control access, track versions, and find files without searching through shared drives or long email chains.

Strong document management can be particularly valuable when several people work on the same matter. Attorneys and legal assistants can share documents, review prior versions, and provide access to the right people while maintaining tighter control over client information.

Some platforms offer seamless integration with Microsoft Office or the Microsoft Office Suite, which allows users to save and manage documents directly from familiar applications.

A good document management setup can reduce duplicate files, shorten search time, and make document drafting easier because prior work is simpler to locate.

6. Billing Software

Billing software helps law firms track time, expenses, invoices, and payments.

Tools such as Bill4Time and TimeSolv can record billable hours and support more accurate client billing. Some systems include automatic timers, expense tracking, reporting, and integrations with practice management software.

Accurate time tracking matters because missed entries can affect firm profitability. Paralegals may spend a large part of the day completing billable work, and losing even small amounts of recorded time can add up.

Billing tools can also help distinguish billable work from non-billable hours, which gives firms a clearer picture of how staff time is being used.

Software costs vary depending on the provider, number of users, and features included. Mid-sized firms may need a broader set of billing and reporting functions than a small office, so pricing should be weighed against the amount of manual work the platform can remove.

7. Calendar and Task Management Software

Legal deadlines leave little room for error.

Calendar and task management software helps paralegals keep track of filing deadlines, court dates, meetings, assignments, and follow-up tasks.

Outlook, PracticePanther, and similar tools can be used to:

Set reminders
Assign tasks
Track deadlines
Schedule meetings
Manage recurring work

Standalone tools can work well, but many legal pros prefer calendar features built into case management or practice management systems. Keeping tasks and deadlines in one system can reduce the chance that an important date gets overlooked.

There may be a learning curve when a firm introduces a new tool, but hands-on practice usually makes adoption much easier.

The Benefits of Legal Technology for Paralegals

The biggest advantage of legal software is not simply having more technology. It is reducing the time spent on routine work that can be handled more efficiently.

The right systems can make paralegal work easier to organize while giving attorneys and support staff better access to the information they need.

Save Time by Automating Repetitive Tasks

Some of the most time-consuming tasks in a paralegal job are repetitive.

Document formatting, data entry, deadline reminders, client follow-ups, and routine filing work can consume hours every week.

Document automation can take over parts of those processes. Templates and stored matter information can reduce repeated typing, while workflow tools can route assignments or trigger reminders automatically.

The result is more time available for substantive work such as research, document review, and case preparation.

Improve Accuracy and Reduce Costly Errors

Manual processes create more opportunities for mistakes.

A wrong date, incomplete client record, missing time entry, or outdated document can create unnecessary problems for a legal team.

Legal software can improve consistency by keeping information in structured fields, maintaining version histories, and reducing repeated data entry.

Billing tools can record time more accurately, while case management systems can keep deadlines and client information connected to the correct matter.

Technology does not remove the need for review, but it can reduce the number of routine errors people have to catch manually.

Stay Organized and Find What You Need Fast

Searching for one file should not take half an hour.

Document management systems give paralegals a searchable place to store and retrieve case documents. Matter and case management systems can do the same for deadlines, notes, contacts, and task histories.

Better organization is particularly useful when you are handling multiple cases at once.

Instead of checking email, shared folders, calendars, and spreadsheets separately, you can often find the information you need from one central workspace.

Maximize Productivity by Handling More in Less Time

Software can help paralegals complete more work without simply adding more hours to the day.

Practice management platforms can combine client records, tasks, billing, and calendars. Case management software can keep matter information together. Automation can reduce repetitive document work.

Those changes can save hours that would otherwise be spent switching between tools or recreating information.

The benefit becomes more noticeable as caseloads increase. Better systems make it easier to manage a larger volume of work while keeping important details visible.

Collaborate Better With Your Legal Team

Good collaboration depends on people having access to the same current information.

Case management and document platforms can help attorneys, paralegals, and legal assistants share documents, assign tasks, and review updates without relying entirely on email.

Communication tools such as Microsoft Teams can complement these systems by giving staff another place to discuss active matters.

Client portals can support communication outside the firm as well. Clients may be able to upload documents, review updates, or provide information through a secure portal instead of sending everything through email.

The result is a clearer workflow with fewer separate communication channels to monitor.

What Should You Look for in Paralegal Software?

A long feature list does not automatically make a platform useful.

Start with the work you actually need to improve. If document drafting consumes several hours a week, look at automation. If information is scattered, better case management or document management may be more valuable.

A few factors are worth comparing:

Ease of use: Can paralegals learn the system through practical training?
Integrations: Does it connect with Microsoft Word, email, calendars, and other tools already used by the firm?
Security: How does the provider protect client data?
Reporting: Can the software create custom dashboards or useful reports?
Scalability: Can it support the firm as case volume grows?
Cost: Do the expected time savings justify the software costs?

Specialized tools can be a better choice than one large platform when a firm has a very specific workflow problem. Other firms may prefer consolidating more functions into one system.

How Briefpoint Can Make a Difference in Your Workflows

Discovery can create a large amount of repetitive paralegal work.

Briefpoint’s automation capabilities are designed to reduce the time spent preparing written discovery while keeping the final work product editable for attorney review.

Paralegals can use Briefpoint to draft and respond to interrogatories, RFAs, and RFPs. Discovery Playbooks help apply preferred firm language, while Bridge makes client intake for discovery easier through plain-language questionnaires.

Autodoc can help with document-heavy RFP responses by identifying responsive files and preparing production materials.

These features can reduce manual document preparation and give paralegals more time for document review, legal research, case organization, and other assignments that require closer attention.

If written discovery takes up a large part of your week, you can see how the workflow works by scheduling a demo.

FAQs About Paralegal Software

Is AI replacing paralegals?

AI is changing certain parts of paralegal work, but it does not remove the need for trained legal support professionals. Software can help with drafting, research, organization, and other routine work, while paralegals still handle assignments that require context, judgment, communication, and coordination with attorneys. Learning how to use new legal software can make those skills even more useful in a modern legal practice.

Is legal software secure?

Security depends on the provider. Reputable legal software may include encryption, access controls, backups, and other protections for sensitive information. Before adopting a platform, firms should review how it stores client data, who can access it, and how the product supports regulatory compliance.

What is the most popular legal software?

There is no single platform that is best for every firm. Clio is widely used for practice management, Westlaw and LexisNexis are major legal research platforms, and NetDocuments and iManage are common document management options. The right choice depends on the firm’s size, practice areas, current technology, and the specific work it wants to improve.

What are the cost benefits of using paralegal software?

Paralegal software can reduce the amount of paid time spent on repetitive administrative work. Automation may shorten document preparation, case management tools can reduce time spent searching for matter information, and billing systems can capture more billable hours. The financial return depends on software costs, adoption, workload, and how much manual work the system actually replaces.

Briefpoint

What Is Legal Drafting Software and Why Do You Need It?

Drafting legal documents is an inescapable part of litigation. However, as important as this process is, it’s undoubtedly an obstacle.

What if you could draft documents with the same, if not a higher level of accuracy, quality, and consistency as manual drafting?

Let’s talk about legal drafting software, what it is, and how it can benefit both you and your clients.

What Is Legal Drafting Software?

Legal drafting software is a tool that helps lawyers and legal professionals create various legal documents at least ten times faster than the manual process.

By using advanced technologies like artificial intelligence (AI) and machine learning, these tools automate many parts of the drafting process.

With legal document generation software, you can easily create a wide range of documents, including but not limited to:

Discovery responses
Estate planning documents
Contracts
Pleadings
Real estate documents
Intellectual property documents
Power of attorney forms
Litigation briefs
Corporate legal documents
Immigration forms

Most of these tools come with smart features like template libraries, clause banks, and automated formatting.

While specific functionalities or niches can vary among these tools, the goal remains the same: to help legal professionals draft their documents in just a few clicks.

Types of Legal Drafting Tools

Legal drafting tools vary depending on the documents you create and the stage of work you want to improve.

Common options include:

Document automation platforms: These systems generate legal documents from questionnaires, matter data, and predefined rules. They are useful for routine forms, pleadings, and high-volume drafting.
Legal contract drafting software: These tools support contract creation with clause libraries, approval workflows, redlining features, and standardized language.
Template management tools: Firms can build reusable templates for frequently drafted documents, then update them as laws, policies, or internal standards change.
AI legal writing assistants: These platforms help draft, revise, summarize, and improve legal writing. Lawyers still need to review the output for accuracy and context.
Legal research platforms: Legal research tools help users find statutes, regulations, case law, and secondary sources that can support a draft.
Discovery drafting software: These tools focus on interrogatories, requests for admission, requests for production, and related responses. They may automate objections, formatting, client input, and document production.

The Benefits of Automated Legal Document Drafting

From the definition alone, it’s easy to see how drafting software can be incredibly beneficial for a law firm. Still, we should take a look at the specific advantages to see if it’s a worthy investment for you.

1. Automation Software Saves You Loads of Time

Imagine slashing hours off your workload and achieving better productivity by simply automating the drafting process, which is exactly what legal drafting software offers.

Instead of creating documents from scratch and spending hours on each one, you can start with automated templates designed for various legal documents.

These templates come preloaded with standard clauses and language to simplify the creation process. The software can also automatically pull relevant information from your databases or previous documents, which reduces the need for repetitive data entry.

Aside from speeding up routine drafting and template building, automation also increases your efficiency by allowing you to manage more cases in less time.

It’s a huge burden off lawyers and paralegals, and let’s not forget a non-direct but equally beneficial effect: better time management for attorneys.

2. Your Documents Are More Accurate and Consistent

Accuracy and consistency are non-negotiables for any legal document, especially one related to litigation.

Consistency and accuracy in litigation documents keep everything clear and professional, which helps you avoid misunderstandings, lower risk, and make sure your arguments come across as strong and credible.

So, legal drafting software helps you tick off these boxes by using standardized language and terminology across all your documents. Automated formatting takes care of applying the correct styles for a polished, professional look every time.

Many legal drafting tools also offer document versions, which help you manage changes made to each file over time.

What’s more, advanced generative AI capabilities can detect and suggest corrections for grammatical errors, legal discrepancies, and inconsistencies within the document, which are all costly errors that can disrupt your legal workflows.

This means you can produce error-free documents that uphold your professional standards every single time.

3. You’ll Save Time and Money While Improving Your Legal Services

The financial benefits of legal drafting software are hard to overlook. By automating the drafting process, you can handle a greater volume of cases without adding to your workload, which, at the very least, can improve law firm profitability.

More importantly, better efficiency translates to lower operational costs, as there’s less need for manual labor and fewer staffing requirements.

Additionally, with fewer errors and inconsistencies, you’ll spend less time on revisions and corrections and save valuable time and resources.

In a nutshell, legal drafting software lets you do more with less, making it a cost-effective solution for any legal practice.

4. Your Team Has More Time for Higher-Value Work

Drafting, formatting, and reviewing routine documents can take up a large part of the day. Legal drafting software handles much of that repetitive work, which gives lawyers and paralegals more time to focus on objectively more important tasks, such as strategy, client communication, negotiation, and case preparation.

This is particularly helpful when a matter involves multiple documents or tight deadlines. Rather than spending hours rebuilding similar language, your team can work from a stronger starting point and move through review more efficiently.

Still, the software relies on legal expertise. Attorneys need to verify the facts, review the language, and confirm compliance before anything is finalized. The difference is that they can spend more of their time applying judgment rather than handling administrative drafting tasks.

For law firms and in-house teams, this can lead to faster turnaround times, better use of staff, and more room for work that requires careful analysis.

How Does Briefpoint Work?

Discovery drafting can take up far more of your schedule than it should. Briefpoint helps legal teams move from an uploaded discovery document to an editable, Word-ready draft in minutes while keeping attorneys in control of the final response.

The platform supports interrogatories, requests for admission, and requests for production in every U.S. state and federal district. It can draft responses and requests, collect information and files from clients, and prepare Bates-cited production packages.

The Briefpoint Process

Here’s what the workflow looks like:

Upload your discovery documents: Add the complaint, discovery requests, or related case materials. Briefpoint extracts details such as the caption, court, case number, parties, definitions, and individual requests.
Review objections and responses: Briefpoint drafts objection-aware responses for interrogatories, RFAs, and RFPs. You can select preferred objections, add case-specific details, and revise the language before finalizing.
Find responsive documents: Autodoc reviews uploaded case files and identifies materials that may respond to each RFP. You can verify results, remove irrelevant files, and flag potentially privileged content.
Generate the finished files: Briefpoint creates an editable Microsoft Word response with objections, answers, and page-level Bates citations. It can also prepare a Bates-numbered production package for attorney review.

Briefpoint Bridge handles client input through a secure link. Clients can answer questions in plain English or Spanish and upload files from any device.

Their responses return to Briefpoint for review, editing, and insertion into the draft. Uploaded documents can then be converted to PDF, Bates-stamped, and linked to the appropriate RFP responses.

Leave the Tediousness of Discovery Documents Behind

Starting from a blank page every time can make discovery drafting feel heavier than it needs to be.

Briefpoint gives your team a more practical starting point, so you can spend less time rebuilding routine responses and more time reviewing the details that need legal judgment.

For firms working in the legal industry, it can become an invaluable tool for keeping drafts consistent, reducing repetitive work, and helping newer team members get up to speed with less training.

You still stay in control of the final document. Briefpoint simply makes the process easier to manage and gives your team more room to focus on the case itself.

Book a demo today.

FAQs About Legal Drafting Software

Which software is best for legal drafting?

The best legal drafting software depends on the type of documents you create and how your team works. Briefpoint is a strong option for litigation discovery, while other platforms may focus on contracts, court filings, or general legal writing. Look for a user-friendly platform that fits your existing legal workflows and gives attorneys enough control to review and revise the output.

Can I draft my own legal document?

You can draft some legal documents yourself, but the level of risk depends on the document and the situation. Templates and the best AI tools can help organize language and formatting, but they cannot replace professional judgment. A lawyer should review any document that affects important rights, money, property, or business obligations.

Is legal drafting software secure?

Security varies by provider, so review the platform’s policies before uploading client or case information. Pay close attention to encryption, access controls, storage practices, and data privacy terms. Law firms should confirm that the software meets their internal security standards and any professional obligations that apply.

Does legal drafting software replace lawyers?

No. Drafting software helps with repetitive tasks such as formatting, organizing information, and generating a first draft. Lawyers still need to apply legal knowledge, check the facts, confirm the language, and ensure accuracy before the document is used or filed.

AI for Lawyers and How It Affects the Future of the Industry

Observing the patterns across various sectors, it has become evident that artificial intelligence is woven into their standard operating protocols, with the legal sector as a prime example.

While often in intense and fast-paced environments, law firms still need help with many background tasks that simply take up too much time.

AI tools for lawyers take on the most repetitive and time-consuming tasks, which allows legal professionals to focus on more valuable parts of their work.

In this article, we’ll review AI for lawyers, their overall impact on the industry, and the tools that can benefit law firms.

What Type of AI Do Lawyers Use?

If you work in a law firm or legal team, you’ll likely come across several forms of AI. Each one supports a different part of your workload, from legal document drafting to managing routine legal tasks.

Many legal-specific AI solutions rely on machine learning, natural language processing, and large language models. A single AI solution may use more than one of these technologies, depending on the AI features it offers:

Machine Learning

Machine learning helps software recognize patterns and improve its results over time. As the system processes more relevant examples, it becomes better at sorting, comparing, and classifying information.

You may see machine learning used to organize case files, identify unusual contract language, flag relevant evidence, or support risk analysis. The quality of the output depends heavily on the legal data used to train and test the system.

Natural Language Processing

Natural language processing (NLP) helps computers understand and work with human language. Since legal work depends so heavily on written material, NLP is behind many of the tools you may already use.

For example, it can review contracts, case law, discovery documents, correspondence, and legislation. It can also power document summaries, clause extraction, semantic search, and automated classification.

Large Language Models

Large language models, including GPT-based systems, are AI models trained on large collections of text. They can summarize lengthy documents, explain dense legal language, organize information, and create draft content from your instructions.

You can use these models to prepare first drafts, support legal research, write client updates, and review written material more efficiently. Some platforms adapt them for legal work by adding document controls, privacy safeguards, and access to trusted sources.

What Can AI Do for the Legal Industry?

AI has the potential to revolutionize how legal teams and law firms work. More specifically, it can streamline numerous processes, including:

Discovery

During the discovery process, lawyers and paralegals often have to review thousands of documents to find evidence relevant to the case. Legal document automation makes this process more straightforward by simultaneously processing vast amounts of information.

AI discovery software enables attorneys to sift through documents by employing search terms or particular criteria, like dates or geographic locations. In contrast, lawyers without AI would have to spend weeks on this.

Generative artificial intelligence is another highly beneficial AI tool for the discovery process. Through sophisticated algorithms, generative AI can comb through extensive datasets, pinpoint relevant information, and draft discovery responses and requests.

Legal Research

Legal research can take up a large part of your day, particularly when you need to work through statutes, case law, regulations, and other legal information before reaching a reliable conclusion.

AI-powered research tools can help you move through that process faster. They search legal databases, analyze documents, and identify connections that may be difficult to spot through a standard keyword search.

You can use them to:

Find relevant authorities: Search for cases, statutes, and regulations tied to a specific issue.
Analyze legal contexts: Review how courts have interpreted similar arguments or facts.
Summarize sources: Condense long opinions and legal materials into a quicker overview.
Compare precedents: Highlight similarities and differences between past decisions and your current case.
Access practical guidance: Some platforms connect research results with Practical Law resources, templates, and commentary.

When you leverage AI for research, you can narrow the field more quickly and spend more time evaluating the strongest sources. However, you still need to verify every citation and read the underlying authority before relying on it.

Due Diligence

Due diligence puts a huge amount of information in front of your team at once. In a major transaction, you may be reviewing contracts, corporate records, financial documents, compliance history, and pending claims, all while working under a tight deadline.

AI systems can make that review less labor-intensive by pulling attention toward the areas that deserve a closer look:

Risk signals: Unusual obligations, change-of-control clauses, unresolved disputes, and other terms that may affect the deal.
Missing information: Gaps in records, incomplete disclosures, or inconsistencies between related documents.
Document patterns: Repeated language, conflicting provisions, or terms that fall outside the company’s usual standards.
Review priorities: High-risk files can be separated from routine material so lawyers can focus their time where judgment is most valuable.

These tools are useful for complex legal work because they create early efficiency gains and stronger strategic support. Of course, your team still decides how each issue affects the transaction, but AI can make the path to that decision much clearer.

Contract Review and Analysis

Some AI-driven tools can examine contracts in detail faster. They can identify clauses that deviate from standard language, assess risk levels, and suggest modifications based on prevailing laws and legal standards.

This specific function of AI speeds up the contract review process, enhances contract accuracy and consistency, and minimizes the risk of disputes and litigation.

What Are the Benefits of AI for Legal Professionals?

Legal work comes with heavy workloads and little room for error. AI can help your team work more efficiently while keeping attention on judgment, strategy, and clients.

Key benefits include:

Efficiency

AI can support essential but typically tedious tasks, such as document sorting, evidence review, legal research, billing, intake, and scheduling. These tools reduce the time spent on routine processes and help lawyers work through larger workloads under tighter deadlines.

For example, document review software can scan thousands of files and surface potentially relevant material far faster than a manual review.

Accuracy

Legal AI tools can identify patterns, inconsistencies, and missing information across large document sets. This can improve document review, research, and risk assessment, particularly when the same checks must be applied repeatedly.

The best legal AI tools can support consistency, but they still depend on accurate inputs and careful oversight.

Lower Costs

Automation can reduce the hours lawyers and paralegals spend on administrative work and first drafts. That can lower operating costs and give firms more flexibility in how they staff routine legal tasks.

Transactional lawyers may also use AI to speed up contract review and due diligence, which can reduce the time needed to complete a deal.

Better Decision-Making

AI can organize legal data, identify trends, and highlight information that may affect case or transaction strategy. These insights give lawyers a clearer foundation for evaluating risk and choosing the next step.

AI supports the analysis, while lawyers remain responsible for the final decision.

Stronger Client Support

AI-powered tools can help with appointment scheduling, status updates, intake questions, and basic client communication. Faster responses keep clients informed and reduce the amount of administrative work handled by legal staff.

That leaves more time for substantive conversations where context, trust, and legal judgment matter most.

How Can AI Benefit Law Firm Clients?

AI can improve the client experience by making a law firm’s workflow faster and overall easier to manage. The benefits often show up in the way clients receive updates, understand their case, and move through each stage of the legal process:

Faster turnaround times: AI can help lawyers review documents, prepare drafts, and organize information more quickly, which may reduce delays.
Lower costs: Less time spent on repetitive work can help firms control legal fees and use staff time more efficiently.
Clearer client communications: AI assistants can support routine updates, intake questions, and appointment scheduling, giving clients quicker access to basic information.
Better access to information: Legal documents and case updates can be summarized in plainer language, making them easier for clients to understand.
Stronger case preparation: AI can help identify patterns, risks, and relevant details that support more informed legal strategies.

Legal departments and law firms still need human oversight at every important stage. AI may speed up the work, but lawyers remain responsible for reviewing the results and advising the client.

Will AI Replace Lawyers?

AI is unlikely to replace lawyers because legal work depends on judgment, context, and responsibility. It can review large document sets and help with routine drafting, but it cannot take full ownership of legal reasoning or client advice.

In complex litigation, for example, an AI tool may flag important evidence or identify patterns across thousands of files. You still need to decide how that evidence fits into the case strategy, how reliable it is, and how it should be presented.

The same applies to negotiations, courtroom advocacy, and difficult client conversations. These situations often involve emotion, ethics, credibility, and changing facts that require human judgment.

You can think of AI as a support tool that helps you work faster and prepare more thoroughly. It can reduce repetitive work and bring useful information to the surface, while you remain responsible for the analysis, decisions, and outcome.

Factors to Consider When Implementing AI for Legal Work

Before adding AI to your legal workflows, take a close look at how the tool will be used, what information it can access, and who will review its output. The following factors can help you introduce AI more carefully:

Data security: Review how the platform stores and processes client information, legal texts, and confidential files.
Human review: Decide which drafts, summaries, and research results must be checked before anyone relies on them.
Ethical obligations: Confirm that your use of AI aligns with confidentiality duties, competence standards, and other professional obligations.
Workflow fit: Choose tools that work with your document management system and the processes your team already follows.
Output quality: Test for false citations, missing context, and weak analysis involving relevant case law.
Team training: Show lawyers and staff how to manage AI, verify its work, and recognize when an AI assistant is not appropriate.

Put AI to Work Where It Helps Most

AI is already deeply woven in the legal profession, but the real benefit comes from using it with a clear purpose. It can take pressure off research, drafting, review, and client communication, while your judgment remains the most important factor.

For many firms, legal document automation is a practical place to start. Discovery work often involves repetitive formatting, document review, and response preparation, so even a small improvement can free up a significant amount of time.

That is where Briefpoint can help. It supports discovery requests and responses, helps you review objections, identifies responsive documents, and generates editable Microsoft Word files.

Bridge can then collect client answers through a secure, mobile-friendly link and add those responses back into your draft.

As a result, your team spends less time on manual preparation and more time on case strategy, client service, and substantive legal work.

Book a demo today.

FAQs About AI for Lawyers

Is AI going to replace lawyers?

No. AI can handle routine work like manual data entry, document review, and first-draft preparation, but lawyers still need to apply judgment, understand client circumstances, and meet every ethical obligation tied to the representation. The technology supports legal services rather than taking responsibility for them.

What’s the best AI for lawyers?

The best legal AI tool depends on the work you need to improve. Briefpoint is built for discovery drafting, while other platforms focus on legal research, contract analysis, contract drafting, or practice management. Look for a secure tool that fits your existing process and gives you enough control to review every result.

What legal tasks can AI help with?

AI can support routine tasks like document review, legal research, contract analysis, contract drafting, client intake, discovery preparation, and the creation of legal document templates. The best use cases are usually repetitive or document-heavy tasks where the tool can save time while a lawyer reviews the final output.

How can I start integrating AI into my legal practice?

Start with a repetitive process that takes up a meaningful amount of your team’s time. You might begin with client intake, discovery drafting, research, or creating legal document templates. Test the tool on a limited set of work, establish a review process, and train your team before expanding its use. A free AI platform may help you explore basic functions, but legal work often requires stronger security and purpose-built controls.

Readers of this website should contact their attorney to obtain advice with respect to any particular legal matter. No reader, user, or browser of this site should act or refrain from acting on the basis of information on this site without first seeking legal advice from counsel in the relevant jurisdiction. Only your individual attorney can provide assurances that the information contained herein – and your interpretation of it – is applicable or appropriate to your particular situation. Use of, and access to, this website or any of the links or resources contained within the site do not create an attorney-client relationship between the reader, user, or browser and website authors, contributors, contributing law firms, or committee members and their respective employers.

How to Organize Discovery Documents

The best way to organize discovery documents is to use a consistent system that separates files by case and keeps each document tied to the right stage of litigation.

That makes written discovery easier to track and gives your team a clearer view of what has been served, received, reviewed, or produced.

As the case develops, staying organized becomes even more important. A reliable filing structure helps attorneys, paralegals, and litigation support staff find what they need faster while reducing confusion around deadlines and missing information.

In this guide, we’ll cover the necessary steps for managing paper and digital files, then look at practical ways to support more effective discovery as the matter moves forward.

Why Do You Need a Legal Filing System?

A legal filing system gives your team a consistent way to organize, store, and retrieve case records. During the discovery process, that structure is essential for keeping critical documents connected to the right matter and making sure everyone can find the information they need.

Here are several specific reasons why a proper organizing system is a must:

Efficiency

A well-organized filing system helps you save time by making documents easier to locate and review. Instead of searching through scattered folders, your team can move directly to the work that supports the discovery plan.

Clear organization can also streamline workflows as attorneys and staff do basic tasks like gathering information, preparing responses, and managing production deadlines.

Compliance

Legal work depends on accurate records and secure document handling. A reliable filing system helps ensure compliance with important parameters like court rules, retention requirements, and internal policies.

It also creates a clearer record of where documents came from, who accessed them, and how they were handled throughout the case.

Accuracy

Disorganized records make it easier to rely on an outdated version or attach the wrong document. In turn, a consistent system helps reduce errors by keeping current materials easy to identify.

That accuracy becomes particularly important during discovery, where small mistakes can affect responses, productions, or later stages of the litigation process.

Client Trust

Clients expect their information to be handled carefully. Strong filing practices support better coordination within your team and show that sensitive records are being managed responsibly.

When your process is clear and dependable, clients can feel more confident in your ability to manage their case.

What Happens When You Don’t Have One?

A weak filing system affects several aspects of legal work, from day-to-day document handling to broader responsibilities during discovery.

When your team is dealing with a growing volume of records, even a small organizational gap can make the necessary information harder to find when legal proceedings move forward.

Common problems include:

Lost Documents

Without a structured system, important files can be misplaced, duplicated, or saved in the wrong location. That can leave the record incomplete and create problems during review, data collection, or production.

The consequences may be limited to a frustrating search, but they can become more serious if a missing document affects a deadline or response.

Wasted Time

Searching through disorganized paper files or digital folders takes time away from substantive casework. It can also slow down other team members who need access to the same material.

Over the course of a case, those delays add up and make the discovery process harder to manage.

Non-Compliance

Poor recordkeeping can make it difficult to follow retention rules, court requirements, or internal security policies. It may also leave your team unable to explain how certain documents were stored, shared, or produced.

That lack of control can create avoidable compliance risks during audits or litigation.

Errors and Inaccuracies

Disorganized files increase the chance of errors, such as using an outdated version or sending the wrong document. These mistakes can affect discovery responses and create confusion later in the case.

Repeated errors may also weaken client confidence, particularly when sensitive information is involved.

Are You Still Using Paper Files?

Many law firms still rely on paper files, particularly for active litigation or documents that require original signatures. Paper can work well, but it needs a consistent system to prevent misplaced records and slow searches.

Use these practices to keep physical files manageable:

Choose one filing method: Organize files alphabetically by client name or numerically by case number, then apply the same method throughout the office.
Create clear labels: Include the case name or number and a brief description of the contents.
Use subfolders: Separate documents by type or stage of the case so related materials stay together.
Add color coding: Assign colors to categories that your team needs to identify quickly.
Maintain an index: Keep a current list showing where each file is stored.
Review files regularly: Archive or securely destroy records according to your retention policy.
Limit access: Store sensitive documents in locked cabinets or restricted areas.
Create digital backups: Scan important records so you still have access if a paper copy is damaged or lost.

Keep in mind that the system does not need to be complicated. It simply needs to be clear enough that anyone authorized to use it can locate the right document quickly.

Should You Shift to a Cloud-Based Document Management System?

Paper files can still serve a purpose, but they become harder to manage as cases grow and discovery produces large volumes of material.

For many legal professionals, a cloud-based document management system offers a more practical way to support daily work and make effective use of case information.

You can expect:

Better Accessibility

Cloud storage allows authorized users to access files from different locations and devices. That can help your legal practice respond faster during the discovery phase and reduce the risk of missed deadlines.

Stronger Security

Most systems include various security measures like encryption, access controls, and automated backups. These features can help protect sensitive records while supporting legal requirements around storage and confidentiality.

Easier Collaboration

Team members can review current versions, leave updates, and coordinate work in one place. This reduces duplication and makes necessary adjustments easier to track.

Lower Administrative Costs

Digital storage can reduce spending on paper, filing cabinets, and off-site storage. Flexible subscription plans can also make costs easier to include in strategic planning.

Better Disaster Recovery

Cloud backups help preserve documents if physical files are damaged or local systems fail. Recovery is usually faster because files remain available through secure remote access.

Less Paper Use

Moving more records online can reduce waste and simplify long-term file management, while still allowing firms to retain physical originals where needed.

Best Practices When Organizing Legal Discovery Documents

Electronic files are easier to search than paper records, but they still need a clear structure. The following guidelines can help your team keep discovery materials organized as the case progresses and new information comes in.

1. Use Consistent Naming Conventions

Create one naming format and apply it to every file. Include details that help users identify the document quickly, such as the case name, document type, and date.

Before settling on a format, determine which details your team searches for most often. A practical naming system should make files easy to recognize without opening them.

2. Build a Clear Folder Structure

Organize files by matter, then use subfolders for the main stages or categories of discovery. Keep the structure simple enough that anyone working on the case can follow it.

Too many layers can make navigation slower, so add new folders only when they serve a clear purpose.

3. Schedule Regular Backups

Use automatic backups to protect files from accidental deletion, system failure, or data loss. Many firms combine cloud storage with a separate backup location for added protection.

Test the recovery process periodically so you know the files can be restored when needed.

4. Control Access and File Sharing

Limit access based on each person’s role in the matter. Use permissions, encryption, and secure portals when sharing sensitive discovery materials.

Keep access settings current as responsibilities change, and share updates with the team when permissions or procedures are revised.

5. Use Document Management Software

A legal document management system can centralize storage, improve search, and help users track file history. The right platform should support your existing workflow rather than add unnecessary steps.

Look for features that help your team organize discovery, manage access, and keep current versions easy to find.

Keep Discovery Organized From Request to Production

A good filing system gives your litigation team control over the case record. Documents are easier to locate, new information has a clear place to go, and everyone can work from the same organized set of materials as discovery develops.

The harder part is keeping that structure intact while requests, client responses, and production files continue to arrive.

Briefpoint helps reduce the manual work behind that process. You can prepare and respond to written discovery, collect client input through Bridge, and turn case files into Bates-cited responses and production packages with Autodoc.

That gives your team a more direct path from incoming discovery to attorney review and final production, with fewer repetitive steps along the way.

See how Briefpoint can help bring more order to your discovery workflow. Book a demo today.

FAQs About How to Organize Discovery Documents

What’s the best way to organize legal discovery documents?

Use a consistent folder structure based on the case, discovery stage, and document type. Clear file names, access controls, and version tracking make specific documents easier to locate and reduce confusion as the matter develops.

What are the best ways to organize documents?

Start by implementing one naming convention and applying it to every file. Then create a simple folder hierarchy, remove duplicates, schedule backups, and review the system regularly. A good example is organizing each matter by discovery requests, responses, and productions.

How do I organize my evidence?

Sort evidence by case issue, source, or date, then connect each item to the relevant claim or discovery request. Maintain an index that records where each file came from, who handled it, and any related notes. This can lead to a clearer chain of custody and faster review.

How often should discovery files be reviewed?

Review discovery files at key points in the case and whenever a large batch of new material arrives. Regular checks help identify missing records, outdated versions, and incorrect permissions before they create problems. They also give your team a better idea of what has been collected, reviewed, or produced.

Smokeball vs. Clio: Which is the Best Option?

Choosing between Smokeball and Clio comes down to the needs of your law firm. Both offer strong practice management tools, but they support different workflows and firm sizes.

Smokeball puts more emphasis on automation, while Clio gives you greater flexibility to shape the platform around your practice.

That major difference can affect how much time your team spends on routine work, how easily the software fits with your current setup, and how well it can support the firm as it grows.

The comparison below breaks down their features, pricing, usability, and overall fit so you can choose the best legal software for your team’s practice management needs.

What Is Briefpoint?

Briefpoint is an AI-powered discovery automation platform built for law firms. It helps you prepare discovery requests and responses faster, with less time spent on manual drafting, formatting, and document assembly.

You start by uploading a discovery request. Briefpoint pulls out key details such as the court, case number, and party names, then uses that information to build the first draft.

From there, you can add objections, review each response, and export the document to Word for final edits.

Its core features cover several parts of the discovery process. Briefpoint Bridge sends clients a secure questionnaire that rewrites legal requests in plain language. After the client responds, their answers are placed into the relevant sections of the draft.

Then, Autodoc helps with document-heavy RFP responses. It reviews uploaded files for responsive material, creates page-level Bates citations, and prepares a Bates-numbered production package for attorney review.

Essentially, Briefpoint keeps the process moving while giving attorneys full control over the final work product.

Schedule a demo to see how it works.

What Is Smokeball?

Smokeball is a cloud-based legal software built to simplify the day-to-day tasks of running a small law firm.

It takes care of things like case management, document drafting, and time tracking, so you can redirect that energy toward more valuable things like meaningful interactions with clients or drilling down into the nuances of your cases.

Source: Smokeball.com

One of its main selling points is automatic time tracking, which quietly logs your hours behind the scenes and makes sure every minute gets captured without you lifting a finger.

Plus, Smokeball keeps all your client information in one spot while whipping up detailed reports and keeping sensitive documents safe and at your fingertips.

What Is Clio?

Clio is a cloud-based legal practice management software that helps law firms manage their operations more efficiently.

This powerhouse solution handles case management, billing, and client intake with ease, regardless of the size of your operation.

Source: Clio.com

What makes Clio special is its simplicity and flexibility. You can easily customize it to suit your workflow, integrate it with other tools, and even handle online payments with ease.

Clio adapts to the needs of your firm, which makes it incredibly easy to track time, generate invoices, and get real-time insights into your firm’s performance.

It’s basically an all-in-one solution for law firms looking to stay organized, improve client communication, and save valuable time.

Clio vs Smokeball: Features Comparison

Anyone practicing law has likely crossed paths with these two big-hitters who dominate the industry landscape. However, the right choice depends on your firm’s specific needs.

Whether you’re just starting out or already established, choosing the right solution depends on understanding the key differences between these two options.

Case Management

Both platforms cover the core features legal professionals expect from case management software, but the experience feels different once you start using them.

To start, Smokeball leans heavily on automation. It tracks case activity, captures billable time, and keeps matter management moving with less manual input. As a result, smaller firms can improve operational efficiency while keeping routine work in one system.

Clio takes a more flexible approach. For example, you can customize workflows, assign tasks, and shape the platform around the way your team already works. Because of that, firms that want Clio to manage a wider range of processes may prefer the extra control.

Ultimately, the better fit comes down to how much structure you want built in. Smokeball handles more in the background, while Clio gives you more room to adjust the setup.

Document Automation

Document automation is another important feature for law firms looking to cut down on repetitive tasks. Smokeball stands out here with a large library of legal forms and tools for automatic document generation.

Clio offers document automation, too, though it has fewer built-in templates. If you rely on ready-made documents, Smokeball may have the edge. However, Clio gives you more freedom to build tailored document workflows when customization is a priority.

Meanwhile, Briefpoint focuses specifically on discovery document automation, which can take up a large portion of litigation work.

With Briefpoint, you can prepare documents in minutes. Its machine-learning tools pull in routine case information, build the initial draft, and leave you with less manual work before review.

Client Intake

Clio may have the edge when it comes to client intake. Its customizable intake forms can be embedded directly into your website, which makes onboarding easier for new clients. These client-facing features help firms collect important information early and create a smoother client experience from the first interaction.

Clio Manage can also keep that intake data connected to the rest of the matter, which is useful for firms that want more of the process handled in one place. While it may not offer full automation for every step, it can reduce the manual work tied to bringing in new legal services clients.

Smokeball has client intake tools as well, but they offer less customization and fewer website integration options. That may be a drawback for firms focused on improving how prospective clients move from inquiry to active matter.

Billing and Invoicing

Billing is a high-priority task for any law firm, and both Clio and Smokeball offer solid billing features. Smokeball’s automatic time capture makes invoicing easier because it records billable activity in the background and turns it into time entries with less manual work.

Clio is not as automated in this area, but it still gives you reliable tools for time tracking, invoicing, and online payments.

If your firm wants billing to require less hands-on effort, Smokeball may be the stronger fit. Clio gives you more flexibility if you prefer to manage billing through a broader practice management setup.

Reporting and Analytics

For keeping tabs on your firm’s performance, both Clio and Smokeball offer useful reporting tools.

Smokeball provides detailed reports that cover case activity, staff productivity, and financials to give you a clear overview of your firm’s day-to-day operations.

Clio, on the other hand, offers more customizable reports to let you focus on the specific metrics that matter most to you. When it’s all about teasing out the subtleties in your data, Clio’s advanced features kick in, giving you a level of precision you won’t find elsewhere.

Document Management

Both Clio and Smokeball offer solid options for document management, but they do things a little differently. As mentioned, Smokeball boasts a built-in library of document templates and automatic document creation.

It organizes and stores your documents in the right client files without you having to do much and comes with access controls for better data security. So, if you’re looking to save time and avoid digging through files, Smokeball makes it easy.

Clio also offers great document management, but focuses more on flexibility. What sets this tool apart is its incredible flexibility when it comes to document management, which means you’re not limited to a one-size-fits-all approach.

One of Clio’s biggest perks is its seamless integration with popular cloud storage platforms like Google Drive, Dropbox, and OneDrive, which makes it easy to grab the files you need.

Calendar Management

Smokeball automatically logs important dates and case activities into your calendar, so you don’t have to worry about missing anything. Any law practice handling a multitude of cases simultaneously will find this particularly useful.

Clio gives you more control over your schedule. You can sync it with Google Calendar or Outlook and set custom reminders for important tasks. So, if you need that extra flexibility and want everything synced with your existing calendars, Clio might be the better fit.

Clio vs Smokeball: Key Differences

Each software caters to different needs. To pick the right one, you should know who they are for, how much they cost, and how easy they are to use.

Target Market

Smokeball is designed with small law firms and solo practitioners in mind. Its automation features are ideal for firms looking to streamline daily tasks without dedicating a lot of time to manual work.

On the other hand, Clio is more versatile. It works well for firms of all sizes, from solo lawyers to large practices, because it’s highly customizable and can scale as your firm grows.

If you’re a smaller firm focused on saving time, Smokeball could be a great fit, while Clio may appeal more to firms that need flexibility and room to expand.

Key Features

We’ve covered the broader differences between the two platforms, so now it helps to look at the features that may shape your day-to-day experience:

Smokeball

Automatic time tracking: Smokeball records billable activity in the background and turns it into time entries, which can reduce missed time and make invoicing easier.
Document automation: Built-in templates support faster document generation for common legal forms and routine filings.
Matter management: Case details, documents, tasks, and client data stay connected in one platform, giving your team a clearer view of each matter.
Compliance tracking: Smokeball can help firms monitor activity and maintain records that support internal review requirements.

Clio

Customizable workflows: Clio gives you more control over how matters move through the firm, from intake through billing.
Integrations: The platform connects with tools such as Google Drive and popular accounting software, so you can keep using systems your team already knows.
Reporting: Clio provides data-driven insights into areas like billing performance, productivity, and case activity.
AI features: Clio continues to add AI-supported tools that help legal professionals find information, manage routine work, and work more efficiently.

Ease of Use

Smokeball’s strength lies in its simple, easy-to-use interface. Since much of the routine work is automated, small firms can usually get started with minimal setup.

Features like automatic time tracking and document creation require little training, which can make the move from existing tools feel more manageable.

Clio is user-friendly too, though its wider range of customization options may take more time to learn. Setting up workflows, reports, or integrations can involve a steeper learning curve, but the extra flexibility may be worth it for larger firms.

Both providers offer migration support to help transfer client and case information. Still, the ease of data migration will depend on your current setup and how Clio operates alongside the software your firm already uses. A well-planned rollout can create a smoother transition for your team.

Pricing

Smokeball’s billing model is known for being a bit pricier, largely because of its comprehensive automation features. It doesn’t offer as many pricing tiers, so firms with smaller budgets might find it a bit steep. Plus, the pricing isn’t publicly available.

Clio, on the other hand, has more flexible pricing options. With multiple tiers, Clio allows firms to choose a plan that best fits their budget and needs, starting at $49 per user per month for the most basic plan. If cost is a major factor, Clio may be the more affordable option, especially for larger teams.

Which One Is the Best Option?

The best option between Clio and Smokeball ultimately depends on your firm’s specific needs. If you’re a smaller firm looking for automation and simplicity, Smokeball might be the better choice. However, if you need flexibility, customization, and the ability to scale, Clio could be a better fit.

Automate Your Discovery Document Process With Briefpoint

Discovery can take hours away from client work and case strategy. Briefpoint helps you move through it faster while keeping attorneys in control of every draft.

Upload a discovery document, and Briefpoint pulls out the case details, organizes the requests, and prepares a Word-ready draft. You can use it to propound or respond to requests for admission, requests for production, and interrogatories in state and federal matters.

Briefpoint Bridge handles client input through a secure questionnaire. It rewrites discovery questions in plain language, collects the client’s answers and files, then places their responses into the correct parts of your document.

For document-heavy RFPs, Autodoc reviews uploaded case files for responsive material and creates Bates-cited responses with page-level references. It can also prepare a Bates-numbered production package for attorney review.

Briefpoint works alongside Clio or Smokeball, so you can improve your discovery workflow while keeping your existing tech stack and enjoying a seamless transition.

More than 1,500 law firms use the platform, with users reporting savings of over 30 hours per case. Want to be one of them?

Book a demo today.

FAQs About Clio vs Smokeball

How does Smokeball compare to Clio?

Smokeball is typically a better fit for small law firms and solo practitioners due to its focus on automation and ease of use. This means you’ll spend less time on manual tasks and more time on actual billable hours. Clio, while suitable for small firms, offers more flexibility and customization, which might be more than smaller firms need.

Is Smokeball more expensive than Clio?

Smokeball tends to be a bit pricier due to its automation features, but its pricing details aren’t public. Clio offers multiple pricing options starting at $49, making it a more affordable choice for firms looking for basic features or those needing to scale.

Which software offers better reporting features?

Customization is where Clio’s reporting tools really shine. By letting you fine-tune your reports, you can zoom in on the numbers that genuinely matter to your practice. Smokeball offers detailed reports but with less flexibility.

Can I use Briefpoint with both Clio and Smokeball?

Briefpoint syncs up effortlessly with Clio and Smokeball, giving you a shortcut to speeding up your discovery document workflow and doing away with those tedious response tasks.

Briefpoint

What Is Legal Drafting?

Before contracts are signed or cases move forward, someone has to put the terms into writing. That’s what we call legal drafting. It’s the process of turning obligations, rights, and agreements into structured documents that carry legal weight.

Legal drafting is a core part of the legal profession, used daily in law firms, corporate legal teams, and even solo practices. And now, with legal drafting software taking on repetitive tasks, professionals can focus more on the actual thinking behind each document.

In this guide, you’ll learn what legal drafting really means, how it differs from legal writing, what the process looks like, and how AI tools are helping legal teams move faster.

What Is Legal Drafting?

Legal drafting refers to the process of preparing legal documents that outline rights, duties, terms, or obligations. It plays a key role in the legal profession, especially in law firms where lawyers handle everything from contracts to court filings.

While legal drafting is often confused with legal writing, they’re not the same. Legal writing can include emails, memos, or research papers. Drafting, on the other hand, focuses on documents that can be legally enforced.

Good legal drafting avoids confusion by using clear, structured language. It revolves around getting the facts right and making sure everything holds up if the document is ever challenged.

Here are a few common types of documents and activities that involve legal drafting:

Business contracts
Employment agreements
Non-disclosure agreements (NDAs)
Lease or rental agreements
Wills and trusts
Legal notices or demand letters
Court pleadings and motions

Whether you’re at a small practice or a large law firm, legal drafting is a must-have skill in the legal profession. It’s the foundation for many daily tasks and, in many cases, can make or break a case or deal.

What Does the Typical Legal Drafting Process Look Like?

If you’ve ever wondered how contracts, agreements, or discovery documents come together behind the scenes, you’re in the right place. There’s a method to the process, one that legal teams follow to avoid missteps down the line.

Let’s walk through it step by step.

1. Understand the Purpose and the People Involved

Before drafting documents, you need to know what you’re writing and who it’s for. Are you documenting a sale? An employment deal? Something more complex?

Corporate legal departments often start by meeting with the parties involved to clarify the purpose and key terms. A good draft begins with clear goals and expectations.

2. Do Your Legal Research

This part gets skipped too often, but it matters nonetheless. Effective legal drafting typically relies on knowing what the law says, what recent cases show, and how certain terms are usually interpreted.

Legal research supports not just contracts but legal opinions and internal memos, too. In litigation drafting, for example, it helps you identify relevant information and build a clear written record. Without it, your document might leave loopholes you didn’t even see coming.

3. Outline the Structure

It’s like building a house, and you need a solid frame before drafting the entire document. For most contracts or agreements, there’s a standard structure:

Introductions
Responsibilities
Timelines
Payment terms
Termination clauses
Dispute handling
Signatures

A clean outline keeps things organized and helps you spot what’s missing before you get too deep into the writing.

4. Start Drafting in Plain Language

Now comes the writing part, but not the overly fancy kind. Plain language is your best friend here. It helps avoid confusion, especially when people without legal training need to read and understand the document.

Stick to short sentences. Say what you mean, and be specific. Vague language can lead to arguments later.

5. Review, Revise, and Get Input

Once the first version is done, it’s time to loop in the right people. That might include colleagues, outside counsel, or the client. In corporate legal departments, multiple stakeholders may need to approve the draft.

Revisions usually focus on fixing unclear sections, correcting legal references, or updating terms based on the latest discussions.

6. Finalize and Execute

After back-and-forth revisions, legal professionals prepare the final version. It’s double-checked for accuracy, shared with all parties involved, and signed, either on paper or electronically.

At this stage, the document becomes enforceable and officially part of the legal process.

How Can AI and Automation Help?

Legal work is full of fine details, and when you’re creating documents meant to hold up in court or guide business deals, there’s no room for sloppy writing or missing terms.

But legal drafters aren’t always starting from scratch anymore. AI and legal automation tools are stepping in to handle repetitive tasks, reduce errors, and make things faster without cutting corners. Take a look at how AI helps:

Speeding Up the First Draft

Drafting legal documents often starts with a blank page and can be time-consuming. AI can skip that first hurdle by building a draft based on templates, prior agreements, or simple inputs.

These tools can pull from form books, past contracts, or even legal dictionaries to suggest solid starting points.

For research-based drafting, for example, AI can help organize relevant material into an initial structure. As a result, you get a quicker path to a complete draft while still keeping control over the details that matter.

Breaking Down Complex Legal Concepts

Not everyone understands legal principles off the bat. AI tools can explain complex legal concepts in plain terms or flag when wording is too technical for the reader.

That can be especially useful in legislative drafting, for instance, where dense language may need to be reviewed for clarity and consistency.

This shift toward straightforward language improves readability and helps reduce risk by avoiding ambiguity in enforceable documents that must stand up under scrutiny.

Improving Consistency Across Teams

In a busy legal practice, creating documents with consistent language can get tricky. This is especially true when multiple people are involved.

AI helps apply a structured method to drafting by suggesting preferred terms, aligning with internal style guides, and even checking references to relevant laws and regulations.

This keeps the written words aligned with the document’s purpose and cuts down on mix-ups caused by conflicting edits.

Supporting Legal Research and Accuracy

Legal workflow tools aren’t just for writing; they’re great at checking relevant facts, too. They can pull up relevant laws, case references, and sample clauses based on what you’re drafting. Some even suggest changes if a clause doesn’t match updated regulations.

This makes legal drafting skills easier to apply for newer drafters, which can bridge the gap between theory and practice without replacing legal expertise.

Reducing Back-and-Forth in Revisions

When you’re handling multiple drafts, input from different teams, and pressure to move fast, AI helps tighten the review process. It catches missing clauses, flags unclear sections, and spots inconsistencies before a human editor does.

In other words, it speeds up internal reviews and reduces the chance of disputes, whether you’re prepping for a deal or even litigation.

In short, it helps legal documentation stay sharp from start to finish.

Why Briefpoint Fits into Modern Legal Drafting

Drafting legal documents is one of those things that needs to be done right the first time. It takes more than legal knowledge to do it well. You need a clear process, the right structure, and language that avoids confusion.

And now, with AI tools stepping in, drafting is becoming faster and more accurate without losing the depth legal documents need.

Briefpoint is built specifically for that kind of work. It helps legal professionals draft discovery documents like interrogatories, requests for admission, and requests for production across all U.S. states and federal districts.

You can upload a complaint, select your objections or responses, and download a properly formatted brief ready to open in Word. It even applies local court rules automatically and keeps your data secure with strong encryption.

If you’re tired of wasting hours on repetitive drafting and want a tool that works the way legal drafters do, check out Briefpoint. It’s fast, reliable, and already trusted by over 500 law firms.

FAQs About What Is Legal Drafting

Is legal drafting a difficult skill to learn?

Legal drafting can take time to learn because it requires precision, clear communication, and a solid grasp of legal principles. You also need to understand how case law and procedural rules affect the document. With practice, strong examples, and careful review, the process becomes much more manageable.

What skills are needed for legal drafting?

Strong legal drafting calls for legal research, attention to detail, logical organization, and the ability to write in plain, precise language. The exact skills may vary across areas such as transactional drafting or policy drafting, but the aim is the same: create documents that clearly define legal relationships and, where required, are legally enforceable. Since written words remain, every term should be chosen carefully.

What is considered legal drafting?

Legal drafting involves writing enforceable documents like contracts, pleadings, and discovery responses. It’s a core part of the legal industry and is used by legal experts to translate legal goals into formal, written agreements that follow relevant laws and procedures.

Is drafting legal documents hard?

It can prove intimidating at first, especially for those new to the legal field. But with the help of legal writing guides, citation style manuals, and tools like Briefpoint, drafting becomes more manageable, even for beginners.

Why is legal drafting important?

It’s essential for ensuring documents are valid, enforceable, and easy to understand. Precise language, structured format, and attention to the intended audience all matter. A good draft helps prevent confusion, saves time, and supports fairness in legal matters, making it a key part of any beginner’s guide to the legal process.

What Is a Motion to Compel? (Checklists and Guides)

Legal parties aren’t always cooperative. While the law might state they must supply information to you before a trial, they can be non-compliant.

These tactics are understandable, but they don’t always fall within the scope of the law. Parties may be breaching proper procedures and could face court sanctions, such as the imposition of legal fees or contempt of court charges, where non-compliance persists.

Motion-to-compel tools give you a way to move things forward when the other side won’t play along. They let the court step in and require the release of information tied to your case.

When you know how and when to use them, delays lose their power, and required materials tend to surface much faster.

What Is a Motion to Compel?

A motion to compel is a formal request asking the court to order another party to meet its legal obligations, usually during discovery.

Attorneys commonly file one when the opposing side fails to answer interrogatories, produce requested documents, attend a deposition, or provide complete and legally sufficient responses.

If the motion is granted, the judge may compel responses within a set deadline and require the noncompliant party to release important information relevant to the case.

Depending on the circumstances and applicable court rules, the judge may also award attorney’s fees or impose sanctions for continued refusal to cooperate.

Motions to compel can apply outside traditional discovery disputes as well. A party might seek an order requiring testimony, document production, or another form of disclosure that the opposing side has withheld.

Courts generally expect the requesting party to attempt an informal resolution first and explain why the requested material is relevant and legally discoverable.

When to File a Motion to Compel

Filing a discovery motion or a motion to compel becomes necessary when the responding party fails to meet its discovery obligations.

If you’re not getting the information you’re entitled to and informal efforts haven’t worked, a motion to compel may be your next step.

Parties Are Unresponsive to Interrogatories

If the opposing side ignores your interrogatories or provides vague, incomplete answers, it can stall your case preparation.

Without proper responses, you’re left in the dark and unable to fully assess your position or build a solid strategy. This kind of noncompliance isn’t just frustrating; it can seriously jeopardize your client’s chances in court.

As the moving party, you’re asking the court to step in and require the other side to comply with the rules. A motion to compel makes it clear that discovery isn’t optional and that delays or evasions won’t be tolerated.

If the responding party fails to answer interrogatories or respond with valid legal objections, the court may order them to produce the information and, in some cases, impose sanctions for failing to meet their discovery obligations.

Parties Won’t Produce Documents

When the other party fails to provide requested documents, filing a motion to compel discovery responses may become unavoidable. This type of noncompliance can throw off the entire case timeline and affect the fairness of the proceedings.

Here’s why a motion may be necessary in these situations:

Missing documents can distort the facts: Without access to complete records, you’re working with half the story.
It delays case resolution: Waiting on paperwork from an uncooperative party slows everything down.
It undermines the discovery process: Parties are expected to respond honestly and thoroughly to all discovery responses.
It opens the door to misconduct: When one side withholds information, it gives them an unfair tactical advantage.
It weakens legal arguments: Without key documents, you may be unable to support your claims or defenses effectively.

If the other party refuses to comply even after informal efforts, the moving party can ask the court to order compliance.

Parties Are Deliberately Obstructing Information Discovery

Sometimes, one party takes deliberate steps to stall or block the discovery process. This could involve making excessive objections, refusing to turn over documents, or generally disrupting attempts to gather relevant information.

In both civil and criminal discovery, these tactics can prevent a fair outcome and waste valuable time.

If a non-complying party is intentionally obstructing the process, filing a motion to compel may be the only way to move forward.

But before doing so, courts often require good faith efforts to resolve disputes. This means reaching out to the other side, attempting to work things out, and documenting your efforts.

You’ll typically need to include a separate statement detailing each disputed item, your attempts to resolve the issue, and why the information is relevant. You’ll also need to request a hearing date with the court so both sides can present their positions.

For example, if an attorney refuses to produce financial records after repeated requests, claiming irrelevant privilege with no legal support, a motion to compel, supported by a clear paper trail, can pressure them to comply or risk court sanctions.

How to File a Motion to Compel

If the opposing side isn’t cooperating or you suspect they’re hiding crucial evidence, you may need to file a motion to compel.

But this process isn’t automatic. It requires careful steps to stay within procedural rules. Here’s what to do:

Meet and Confer With the Opposing Party

Before taking your issue to court, you’re expected to try resolving it informally. That means reaching out to the opposing side to meet and confer. This step helps the court determine that the requesting party made good faith efforts to work things out without legal intervention.

You should clearly address the missing discovery documents, explain what’s incomplete or missing from the responses, state the specific grounds for concern, and request further responses within a reasonable timeframe.

Be sure to document this meeting thoroughly; include the:

Date
Topics discussed
Any follow-up communication

Courts often won’t consider a motion to compel unless you’ve attempted to resolve the issue first. This step lays the groundwork if you later need to compel production and shows the court you handled the issue responsibly before asking for formal enforcement.

Prepare Your Motion to Compel

If parties still fail to comply with your discovery requests, you should prepare a motion to compel. Make sure you follow established formats to avoid confusion or rejection for failing to provide the correct information.

A motion to compel typically contains:

The name of the court
The docket number
The names, addresses, and details of the parties involved
A summary of the case that provides context
A list of discovery requests that the opposing party did not comply with
A list of accompanying reasons explaining any non-compliance
Reasons why the court should support discovery

The last element is critical. Courts will only issue a motion to compel if you can provide reasonable cause for the opposing party to comply with your request.

Acceptable reasons courts may accept include things like:

Failure to release medical records relevant to a case
Failure to supply expert deposition questions
Getting in the way of discovery by abusing the rules of conventional legal proceedings to cause delay or incur higher costs for the opposing party
Failure to take part in depositions
Failure to supply documents relevant to the case

The more accurate you can make your objective, the more likely the court will grant your motion to compel. Whatever reason you choose must align with the circumstances of the case.

Serve the Motion

After the motion to compel is filed, the court begins reviewing the request and any objections from the other side. This stage matters, especially during discovery, since access to complete information can influence how the case moves forward.

In most courts, you can serve the motion electronically through e-filing. Some jurisdictions still require or allow physical service, so double-check local rules. Either way, the opposing party’s law office must receive proper notice along with all necessary information tied to the motion.

Once served, the court may allow both sides to present arguments. The judge will review the facts and determine whether the motion is justified based on what each party believes is required under the rules.

Key points to keep in mind:

Provide a clear notice to the opposing party
Include all necessary information and supporting legal documents
Confirm service deadlines, which may be measured in court days
Note any hearing set for a later date

If the court rules in your favor, it may order document production or answers and, in some cases, award attorney’s fees.

Go to the Hearing

If the other side still refuses to comply after service, the next step may be a court appearance.

A compel hearing gives both parties space to explain their positions, and the judge decides whether a court order is needed to move discovery forward.

At this point, the requesting party should be ready to show good faith efforts to resolve the issue outside the courtroom.

That usually means bringing emails, call summaries, or letters that document your attempts to work things out before asking the court to step in. This supporting evidence helps show you weren’t rushing to the litigation stage.

Be prepared to walk the judge through the original propounded discovery, such as an inspection demand or unanswered interrogatories. Your goal is to clearly show what information is missing, why it matters, and why the court should compel answers.

In some jurisdictions, separate motions may be required, one to compel compliance and another tied to sanctions. Make sure your filings stay clear and focused on the discovery at issue.

Remember: A well-prepared hearing can lead to a court order requiring the other side to produce all the information they’ve been withholding.

Defending Against a Motion to Compel

On the other hand, you will be on the receiving end of a motion to compel. When this happens, you may find yourself being asked to provide information that conflicts with your clients’ rights or falls outside of the purview of the case.

Fortunately, you can also defend against these motions to protect your client against unjustified intrusions. Here’s what to do:

Talk to the Opposing Party

As described above, one option is to “meet and confer” with the opposing party. Talking to them can sometimes help you resolve the issue without going through any formal court procedures.

When meeting with the other side, record all relevant information, including talking points and any agreements reached.

Identify Objections

Review the motion carefully. The requested discovery may reach too far, miss relevance, or touch on privilege. You have the right to object, but those objections need to be clear, legally sound, and tied to specific issues in the request.

In certain situations, a quick reference can help you spot problems faster. A discovery objections cheat sheet can be useful here, especially when you’re reviewing requests that raise the same concerns again and again. It helps you confirm when objections apply and how they’re commonly framed.

Tools like Briefpoint can also support this step. Briefpoint uses artificial intelligence to analyze propounded discovery and flag issues based on similar case law.

It highlights potential problems, suggests language, and lets you insert objections directly into your response. You can also tailor responses or use templates that fit your strategy.

Once objections are finalized, file them with the court along with any required declarations. If the court agrees under the following circumstances, it may deny or narrow the formal request, which limits access to certain information that shouldn’t be produced.

Carefully Read the Motion

Before you respond, take time to carefully read the motion to compel. Don’t skim; go line by line. Understanding exactly what the propounding party is asking for can help you craft a more focused and accurate response.

Sometimes, the language in a motion can make it seem like they’re asking for invasive or overly broad requested information, but a closer read may reveal something more limited or specific. Misunderstanding the scope could lead to unnecessary concessions or weak objections.

Look closely at how the motion aligns with civil procedure rules. Are they citing the right statutes? Did they include all required supporting documentation? Has the motion been filed correctly and timely?

Legal AI tools can speed up this review. They can flag overbroad language, missing context, or irrelevant demands, which can help you respond with stronger objections.

Some platforms even let you click to insert objections directly into a verified response, saving time and reducing the risk of error.

File Your Response

Once you’ve reviewed the motion and prepared your objections, it’s time to formally respond.

File your response with the court, explaining why the motion to compel is improper or why the requested information falls outside the bounds of discovery rules. Your documentation should be clear, well-organized, and backed by legal reasoning.

Be sure to include all necessary attachments, such as a declaration detailing your informal resolution efforts, any prior correspondence with the other party, and other evidence, such as a service form confirming that your response was properly served on opposing counsel.

If the court schedules a hearing, make sure you attend. Showing up gives you the chance to explain your objections directly and reinforce why an order compelling further discovery isn’t warranted. Skipping it means losing your opportunity to be heard.

Be Prepared to Compromise

Finally, you may need to compromise with the opposing party to avoid going to court in some cases. This tactic might involve disclosing some specific information while protecting other sensitive data.

Automate the Discovery Process Without Waste

A motion to compel can move your case forward or put your own discovery conduct under scrutiny.

Either way, you need a clear record of the requests, responses, objections, and efforts to resolve the dispute.

Briefpoint helps firms draft and respond to interrogatories, RFAs, and requests for production faster.

Bridge collects client answers and documents through a secure link, while Autodoc connects responsive files to Word-formatted responses with page-level Bates citations. Discovery Playbooks help apply your firm’s preferred objections and response strategy consistently.

With drafting, client collection, document review, and production support in one workflow, Briefpoint can reduce the time spent preparing discovery and help your team stay ready if a dispute reaches the court.

Book a demo to see how Briefpoint can support your discovery process.

FAQs About What Is a Motion to Compel

Is a motion to compel a bad thing?

Not necessarily. A motion to compel is a form of court action used when discovery stalls. It’s a procedural step meant to obtain relevant evidence, not a punishment. In areas like family law litigation, these motions are fairly common and often reflect disagreements over scope or timing rather than misconduct.

What happens after a motion to compel is filed?

After filing, the court reviews the motion and any opposition. The judge may schedule a hearing or rule based on the written submissions. If granted, the order may require production of electronically stored information, text messages, or other tangible things within a set time limit.

How do you respond to a motion to compel?

Start by reviewing what’s being requested. You may object if the request seeks tangible evidence unrelated to the claims, exceeds a deposition notice, or intrudes on a person’s privacy. File a written response explaining why compliance isn’t required or should be limited.

What happens if someone ignores a motion to compel?

Ignoring a motion to compel may cause the court to rule without that party’s full response. Disobeying a resulting order can lead to attorney’s fees, sanctions, contempt, limits on evidence, or an admission that certain facts are established. In serious cases, the court may strike claims or defenses from the pleading paper.