The Applications of AI in Litigation

Legal work is getting a boost from AI. Litigation is faster, more streamlined, and a lot less tedious, thanks to AI. Lawyers can now focus on the important parts of their job. Here’s how it’s being used in litigation today.

1. eDiscovery

Discovery is one of the most time-consuming parts of litigation. Finding the right stuff in a sea of emails, contracts, and case files takes forever. Lawyers and their assistants can spend weeks on this alone. 

AI-powered eDiscovery tools take the heavy lifting off legal teams by scanning massive amounts of data in minutes.

Think of it like this: people reviewing things manually miss things. These tools, using machine learning, are much better at finding patterns, spotting errors, and highlighting important details. They’re much more accurate. 

Instead of digging through endless documents, attorneys get a prioritized list of the most relevant files, making it easier to focus on building their case.

Besides saving you time, AI helps prevent those annoying little mistakes we all make sometimes. Overlooking evidence weakens any argument. But AI catches everything to minimize that problem. 

With tighter deadlines and increasing data volumes in litigation, AI-driven eDiscovery helps firms stay ahead without getting buried in paperwork.

2. Legal Research

Finding the right case law, statutes, and legal precedents takes up a significant portion of an attorney’s time. Research platforms using AI speed things up; they quickly find the right cases and give you the main legal points.

Instead of manually combing through databases, lawyers can rely on AI to surface the most applicable rulings in seconds.

A few platforms offer case comparisons to show where arguments might fall short. Attorneys use this to make their strategies sharper. 

Less time researching means more time crafting winning arguments for your clients. 

3. Drafting Legal Documents

Legal document drafting is another area where AI is making a difference. Whether it’s responding to discovery requests, preparing contracts, or reviewing your legal writing, AI-powered tools automate much of the process with generative AI and large language models.

Generative AI tools generate templates based on past cases and legal best practices. Imagine trying to build a house without a blueprint.  These tools are like that blueprint, making sure everything is done correctly and nothing is forgotten.

Essentially, using AI for writing is great for saving time; it handles a lot of the grunt work, but human review is still necessary.

A great example of this is Briefpoint, an AI-driven platform designed to handle discovery responses efficiently. Instead of spending hours drafting responses manually, attorneys can use Briefpoint to generate high-quality, customized discovery documents in minutes.

The tool automates formatting, inserts relevant objections, and structures responses based on legal standards—saving firms time and reducing errors.

By integrating AI-powered tools like Briefpoint, attorneys can focus more on case strategy and client advocacy rather than getting bogged down by repetitive paperwork.

4. Case Strategy and Predictions

One of AI’s most powerful applications in litigation is predictive analytics.

Using past cases and their results, AI can figure out the probable outcome of a new case. It does this by also looking at settlement patterns. Better decisions about settling versus trial are easier for attorneys with this information. 

Some AI tools even assess the strengths and weaknesses of different legal arguments so lawyers can fine-tune their approach. While AI can’t guarantee an outcome, it provides valuable insights that help firms manage risk and develop stronger case strategies.

5. Compliance and Risk Management

AI is also playing a key role in regulatory compliance. Law firms dealing with highly regulated industries—such as finance, healthcare, and corporate law—use AI to review contracts and agreements for compliance risks.

Legal issues? These tools will flag them. Need contract revisions? They’ll suggest them. Want to compare your new contract to past agreements? These tools make it easy to achieve better consistency.

Firms can sidestep costly legal battles by automating compliance checks; this helps prevent missing important requirements.

6. Contract Review and Analysis

Reviewing contracts manually can take hours, especially for firms handling large volumes of agreements.

Contracts get a speed boost from AI; it spots inconsistencies, missing pieces, and possible problems. It can also compare agreements against previous versions to highlight any changes that may impact legal standing.

AI-powered contract analysis tools don’t just speed up reviews—they improve accuracy by catching details that a human reviewer might overlook. 

This is particularly useful for transactional law, mergers and acquisitions, and employment agreements, where small errors can lead to significant legal consequences.

7. Client Communication and Chatbots

While AI won’t replace direct client interactions, it can make communication more efficient. Some law firms use AI-powered chatbots to handle routine inquiries, schedule consultations, and provide basic legal information. Lawyers gain extra time; clients get quicker responses. 

Chatbots can’t offer legal advice, but they can assist with initial intake, document collection, and FAQs. Clients can access law firms more easily, and it doesn’t mean more work for the firms.

8. Fraud Detection and Investigations

Finding fraud and misconduct is easier with AI, mainly because it’s really good at picking up patterns in huge data sets.

Law firms and corporate legal departments use AI to analyze financial records, contracts, and communications for suspicious activity. Spotting possible fraud is easier for legal teams thanks to these tools, which identify irregularities. Investigations become more efficient as a result. 

AI is particularly useful in white-collar crime cases, regulatory investigations, and corporate compliance audits, where finding key evidence quickly can make a significant difference.

What Are The Benefits of Adopting AI Into Your Practice?

AI isn’t just about speeding up processes—it brings real, measurable advantages to law firms. By handling repetitive legal tasks, improving accuracy, and reducing costs, AI allows attorneys to focus on strategy, client relationships, and complex work.

Here’s how integrating AI into your practice can make a difference.

Faster, More Efficient Workflows

Legal work comes with a ton of paperwork, research, and repetitive tasks, especially during litigation. AI takes a lot of that off an attorney’s plate by speeding up processes like document review and case research.

For example, generative AI models and natural language processing (NLP) can help you draft documents in minutes instead of the hours (or days) it would usually take.

So, instead of spending eternity digging through discovery documents or searching for relevant case law, AI can pull up what’s needed in minutes. That means lawyers can focus more on case strategy and less on tedious admin work.

Cost Savings

Law firms run on billable hours, but not all billable work adds real value.

Automating routine tasks like legal research and document creation with AI offers substantial cost reductions. This efficiency boost translates directly to the bottom line for businesses. For example, a law firm could reduce its administrative costs by 15% or more.

Take Briefpoint, for example—it slashes the time attorneys spend drafting discovery responses, saving firms around $20,477 per year, per attorney. That’s money that can be reinvested into client service, firm growth, or even taking on more cases without overloading the team.

Improved Accuracy and Reduced Errors

Even the best attorneys can miss small details when reviewing stacks of documents. AI provides an extra layer of accuracy by flagging inconsistencies, spotting missing clauses in contracts, and identifying compliance risks before they become problems.

It won’t replace human judgment, but it can help make sure nothing slips through the cracks. With AI handling the heavy lifting, legal teams can be more confident that their research and filings are rock-solid.

Better Decision-Making

By analyzing past rulings, settlement trends, and even judge behavior, AI can predict case outcomes with surprising accuracy. Before court or settlement talks, this gives lawyers a much better idea of their likelihood of success.

High-stakes litigation? Forget relying solely on intuition. Data-driven strategies provide a powerful competitive edge.

More Time for High-Value Work

Legal work isn’t just about filing motions and drafting contracts—client relationships and courtroom strategy matter just as much. AI helps attorneys shift their focus from repetitive admin tasks to the work that truly moves the needle.

Because AI now does the legwork of research, document preparation, and compliance reviews, lawyers have more time for the things that really matter: building winning cases, negotiating fair settlements, and providing expert advice to their clients. 

This means better representation for everyone.

Better Client Service

Clients want quick answers and timely updates, and AI helps law firms deliver just that. Chatbots and virtual assistants can handle basic client inquiries, schedule meetings, and even help with initial case intake.

AI-powered document automation tools also speed up response times, so clients aren’t left waiting on paperwork. Ultimately, this results in a more seamless experience for clients and less back-and-forth for attorneys.

Scalability for Law Firms

Growing a law firm takes more than just adding new attorneys—it requires efficient processes. AI makes it easier for firms to scale without hiring an army of associates.

Smaller businesses can handle a bigger caseload by automating their busywork. This prevents them from becoming overloaded.

It’s a win-win: Smaller legal practices can compete with larger ones by providing excellent service at a reasonable cost. This means clients get quality representation without the hefty price tag.

Are There Any Limitations or Drawbacks to AI-Powered Litigation?

AI is a powerful tool, but it’s not perfect.

One of the biggest concerns is that AI lacks human judgment. While it can analyze documents, predict case outcomes, and automate research, it doesn’t understand legal nuances the way a trained attorney does. Complex cases require strategic thinking, negotiation skills, and ethical considerations that AI simply can’t handle.

Bias is another issue. AI learns from the past. So, if past court cases showed bias, the AI might repeat those same mistakes. Attorneys must check AI suggestions; otherwise, predictions and recommendations might be biased.

There’s also the matter of cost and implementation. While AI can save money in the long run, high-quality legal AI tools require upfront investment and ongoing training. Firms must integrate these tools into their workflow and make sure staff knows how to use them effectively.

Don’t forget the laws and the moral side of things. These are critical considerations. Legal work from AI needs a lawyer’s check to make sure it’s right and follows all the rules.

Courts may also challenge AI-generated filings or arguments, making it clear that while AI can assist in litigation, it won’t be replacing attorneys anytime soon.

What Does AI Mean For the Future of the Legal Profession?

The legal field is changing thanks to AI, and it’s happening faster than most people thought. When OpenAI first released ChatGPT, most law firms weren’t paying much attention.

A survey from Thomson Reuters found that only 3% of attorneys and law firm staff were actually using AI, and 60% had no plans to adopt it. Even firms that were considering AI were hesitant to implement it in real legal work.

Less than a year later, the landscape had completely shifted. A follow-up survey of top U.S. law firms revealed that AI was already making an impact.

While many firms initially limited its use to internal tasks that didn’t involve client data, nearly half of the Am Law 100 firms had started actively using AI for legal research, business operations, and case strategy.

This rapid adoption shows that AI isn’t just a passing trend for the legal industry—it’s a fundamental shift in how legal work gets done. While AI won’t replace attorneys, firms that embrace it will be better positioned to stay competitive, improve efficiency, and provide faster, more accurate legal services.

Your Discovery Process Doesn’t Have to Be a Drag

Here’s a clear fact—litigation comes with a lot of tedious work. You didn’t become a lawyer to spend hours drafting discovery responses or digging through endless case files. And this is exactly why AI is becoming more and more of a necessity for legal professionals these days.

Adopting AI is all about giving you the tools to work faster and more efficiently. The firms that embrace AI aren’t drowning in paperwork. They’re focusing on case strategy, client advocacy, and winning.

If you’re tired of spending hours on discovery drafting, Briefpoint makes it simple. Generate structured, professional responses in minutes instead of wasting valuable time on formatting and repetitive edits. More efficiency means more time for legal work that actually matters!

See what it can do for your legal practice—schedule a Briefpoint demo today.

Make Your Litigation Workflows More Value-Adding

Discovery responses cost firms $23,240, per year, per attorney. $23,240 estimate assumes an associate attorney salary of $150,000 (including benefits – or $83 an hour), 20 cases per year/per associate, 4 discovery sets per case, 30 questions per set, 3.5 hours spent responding to each set, and 1800 hours of billable hours per year.

Under these assumptions, you save $20,477 using Briefpoint, per year, per attorney.

Test Briefpoint yourself by scheduling a demo here.

What Are Common Objections to Discovery Requests?

Here’s a breakdown of common discovery objections and when they apply:

1. Relevance

A relevance objection is used when a discovery request seeks information that has no connection to the claims or defenses in the case.

Courts generally allow broad discovery, but requests must still be reasonably related to the legal issues at hand. If a request asks for irrelevant, outdated, or unrelated information, you can object on these grounds.

However, it’s important to explain why the request is irrelevant rather than just stating the objection.

Example: “Objection. The requested documents concern events that occurred outside the relevant time frame and have no bearing on the issues in dispute.”

Remember: A strong relevance objection should specify why the request is irrelevant while still complying with discovery obligations where necessary.

2. Overbroad and Unduly Burdensome

An objection for being overbroad and unduly burdensome comes into play when a discovery request isn’t clear, asks for too much, or takes way too much time and effort to respond to.

Courts allow broad discovery, but they also expect requests to be reasonable. If a request doesn’t set clear limits on time, subject matter, or scope, it can turn into a massive task that eats up unnecessary resources. But just saying a request is “too broad” isn’t enough—courts want to see why it’s a problem.

Example: “Objection. This request is overbroad and unduly burdensome as it seeks ‘all documents’ related to the matter, without any reasonable limits on time or subject.”

If only part of the request is overbroad, you should respond to the reasonable portion while objecting to the rest. Courts prefer narrowing requests rather than outright refusal, so offering to meet and confer can help avoid disputes.

3. Privileged Information

An objection for privileged information is used when a discovery request asks for materials protected by attorney-client privilege, work product doctrine, or other legal protections.

Courts take privilege seriously, but objections need to be specific—you can’t just claim privilege without explaining why the information is protected. If you withhold documents, you’ll likely need to provide a privilege log listing what’s being withheld and why.

Example: “Objection. This request seeks information protected by the attorney-client privilege and is therefore not subject to disclosure.”

If only part of the response is privileged, courts expect you to produce the non-privileged portions while redacting the protected content.

Keeping a detailed privilege log can help avoid challenges and show that you’re withholding information for a valid reason, not just to block discovery.

4. Vague or Ambiguous

An objection for being vague or ambiguous applies when a discovery request is unclear, confusing, or open to multiple interpretations. If the wording is too broad or poorly defined, it can be difficult to know exactly what’s being asked.

Courts expect objections to be reasonable, so if a request can be clarified, it’s often better to ask for clarification rather than refuse to respond altogether.

Example: “Objection. This request is vague and ambiguous as it fails to define the term ‘relevant communications,’ making it unclear what is being sought.”

5. Confidential or Private Information

An objection for confidential or private information is appropriate when a discovery request asks for sensitive business data, personal records, or legally protected material. While courts recognize the need for broad discovery, they also expect parties to protect trade secrets, financial details, medical records, and other confidential data.

Simply labeling something as “confidential” won’t be enough—if the information is relevant, a court may allow disclosure under a protective order to limit who can access it and how it’s used.

Examples: “Objection. The request seeks confidential business records containing proprietary information not subject to unrestricted disclosure.”

Instead of outright refusing, consider discussing possible limitations or safeguards with the opposing party to avoid unnecessary court intervention.

6. Already Available

Courts generally don’t require a party to produce materials that the other side can easily obtain on their own, especially if they’re public records, already in possession of the requesting party, or available from a third-party source.

An objection for already available information applies when the requesting party has equal access to the documents or data they’re asking for.

Examples: Objection. The requested documents are equally available to the requesting party through publicly accessible records.”

If the request involves public or easily accessible records, you can reference where the party can obtain them rather than producing the documents yourself.

7. Calls for a Legal Conclusion

A discovery request asks, “Do you admit that the defendant was negligent in causing the accident?” This type of question isn’t just seeking facts—it’s asking for a legal analysis that only a judge or jury can decide.

Discovery is meant to gather factual information, not force a party to make legal conclusions. When a request crosses that line, it’s appropriate to object.

Examples: “Objection. This request calls for a legal conclusion and is therefore improper under the rules of discovery.”

8. Compound Request

An objection for compound requests or compound questions is appropriate when a discovery request combines multiple inquiries into one, which makes it difficult to determine exactly what’s being asked.

Requests should be clear and specific, but when a single request covers multiple topics, timeframes, or document categories, it can create confusion or require separate responses.

Examples: “Objection. This request is compound, as it includes multiple separate inquiries that should be broken down into distinct requests.”

When a request includes both clear and unreasonable parts, responding to what makes sense while objecting to the rest is usually the best approach.

9. Calls for Speculation

Speculative questions in discovery are improper because they require a party to guess rather than provide factual information. Requests that ask how someone might have acted under different circumstances or what another person was thinking go beyond what discovery allows.

Courts expect responses to be based on personal knowledge or available admissible evidence, not assumptions.

Example: “Objection. The question asks the responding party to predict actions or thoughts of another individual, which is not proper for discovery.”

If part of the request can be answered with known facts, it’s best to respond to that portion while objecting to the speculative parts. Courts typically reject blanket refusals if any part of the request is reasonable.

10. Calls for an Expert Opinion

Requests that demand technical analysis, medical evaluations, or legal interpretations often fall outside the scope of standard discovery responses. If a question requires specialized knowledge that only a qualified expert can provide, it’s appropriate to object.

Example: “Objection. This request calls for an expert opinion, which the responding party is not qualified to provide.”

If the responding party has relevant expertise, the court may still require an answer. However, if the request truly requires expert input, the appropriate response is to object and refer the matter to expert witnesses designated in the case.

Try Briefpoint for Faster, More Accurate Discovery Responses

Discovery responses can take hours of tedious work, but they don’t have to. Briefpoint automates the process, helping attorneys draft objections and responses in seconds while staying compliant with discovery rules.

Instead of manually reviewing and formatting every response, you can rely on AI-driven automation to handle the heavy lifting—saving time without sacrificing accuracy.

If you’re ready to speed up your discovery workflow, try Briefpoint today and see how automation can simplify your responses. Schedule a demo to see it in action.

Speed Up Your Discovery Process While Saving Money

Discovery responses cost firms $23,240, per year, per attorney. $23,240 estimate assumes an associate attorney salary of $150,000 (including benefits – or $83 an hour), 20 cases per year/per associate, 4 discovery sets per case, 30 questions per set, 3.5 hours spent responding to each set, and 1800 hours of billable hours per year.

Under these assumptions, you save $20,477 using Briefpoint, per year, per attorney.

Test Briefpoint yourself by scheduling a demo here.

Top AI Tools for Legal Documents

The right tool can cut down on repetitive tasks, reduce errors, and improve efficiency. But which one will meet your exact needs?

Below are some of the best AI tools for legal documents, each offering unique features to help your legal practice run more smoothly.

1. Briefpoint

Briefpoint is an AI-powered tool designed to automate the drafting of discovery documents and other legal filings. Instead of spending hours manually preparing responses, legal professionals can generate well-structured documents in minutes.

By extracting key details from case files and applying standardized legal formatting, Briefpoint reduces errors and makes document drafting faster and way more efficient.

How It Works

• Upload your discovery request: Just drag and drop your opposing counsel’s discovery requests into Briefpoint. The AI instantly scans the document and extracts key details, including court names, case numbers, parties, request types (RFA, RFP, or interrogatory), and set numbers. No more wasting time inputting basic case info.
• Add objections and responses: Briefpoint doesn’t just copy and paste—it structures your responses while giving you full control over objections. You can select from common objections so responses are accurate and properly formatted without repetitive manual work.
• Collect responses from your clients: Briefpoint Bridge helps you translate interrogatories into simple English, send them to your clients, and then integrate their responses directly into your document.
• Open in Word & finalize: Once your responses are generated, you can download them as a Word document. The file is already formatted and mostly completed—just make any final edits before filing.

Pros

• Drafts documents in minutes instead of hours
• Makes sure responses are consistent and properly formatted
• Works with case management systems through Briefpoint Bridge
• Automatically fills in standard objections and responses
• Designed for quick adoption without a steep learning curve

If you want a full tour of Briefpoint, book your free demo today!

2. CoCounsel by Casetext

CoCounsel is an AI-powered legal assistant that helps lawyers with research, contract review, and document analysis. Developed by Casetext, it automates time-consuming legal tasks, which allows attorneys to focus on case strategy.

Source: G2

With features like document summarization, deposition preparation, and contract analysis, it acts as a virtual legal associate that can help improve efficiency in daily workflows.

Key Features

• Legal research assistance: Quickly finds relevant case law, statutes, and regulations.
• Contract review: Analyzes contracts, flags potential risks, and ensures compliance.
• Deposition preparation: Helps attorneys organize key points and review testimony.
• Legal document summarization: Extracts critical details from lengthy documents.
• Case analysis: Identifies key arguments, supporting evidence, and relevant precedents.

Pros

• Finds case law and statutes faster than manual searches
• Flags risks and missing clauses with AI-powered insights
• Automates repetitive tasks, reducing workload for legal teams
• Designed for easy adoption without a steep learning curve

Cons

• Pricing may be too high for smaller firms, which starts at $247 per month
• AI-generated insights still need attorney review
• Some features may not align with all legal systems

3. ChatGPT

ChatGPT isn’t designed specifically for law firms, but it can handle a variety of legal-adjacent tasks. From drafting emails and summarizing case law to generating legal arguments and reviewing documents, it serves as a versatile AI assistant.

Source: G2

While it doesn’t replace specialized legal AI, many lawyers use it to speed up routine work, brainstorm ideas, and refine legal writing.

Key Features

• Legal writing assistance: Helps draft contracts, emails, and legal memos with clear and structured language.
• Document summarization: Condenses case law, statutes, and legal documents into digestible summaries.
• Legal research support: Helps locate case law, statutes, and legal concepts (though accuracy requires verification).
• Contract review assistance: Identifies potential issues in contracts and suggests revisions.
• General productivity support: Assists with scheduling, transcription, and other administrative tasks.

Pros

• Can assist with legal research, writing, and administrative tasks
• Quickly generates drafts, summaries, and contract reviews
• More budget-friendly than specialized legal AI tools
• No complex setup or integrations required

Cons

• Doesn’t replace dedicated legal AI tools
• Responses need attorney oversight to ensure accuracy
• Can highlight risks but lacks deep legal expertise.

4. ContractSafe

Keeping track of contracts can be a headache, especially when deadlines sneak up or important terms get buried in piles of paperwork.

Source: G2

ContractSafe makes it easier to store, search, and manage contracts without the usual hassle. With AI-powered search, automated reminders, and secure storage, it helps legal teams and businesses stay organized and avoid costly mistakes.

It’s not a full-fledged contract analysis tool, but for teams looking for a simple way to track and manage agreements, ContractSafe takes the stress out of contract organization.

Key Features

• AI-powered search: Instantly locates contract terms, clauses, and key details with a simple keyword search.
• Automated deadline reminders: Sends alerts before contract renewals, expirations, or important obligations.
• Secure document storage: Keeps all contracts in a centralized, searchable database.
• User permissions & access control: Lets teams control who can view, edit, or download contracts.
• Integrations with business tools: Works with CRM and document management systems for a smoother workflow.

Pros

• Makes finding contracts quick and easy
• Prevents missed deadlines with automated reminders
• No complex setup or IT support needed
• Supports team collaboration with access controls

Cons

• Doesn’t provide deep contract risk analysis
• Lacks AI-powered contract review features
• Focuses on organization rather than drafting or legal insights

5. DocuSign

DocuSign makes signing and managing legal documents faster, more secure, and completely digital. With legally binding e-signatures and automated workflows, it helps businesses and law firms handle agreements without the back and forth of printing, scanning, and mailing.

Source: G2

While it’s best known for e-signatures, DocuSign also offers contract management tools that help teams speed up approvals, track agreements, and stay compliant with legal standards.

Key Features

• Legally binding e-signatures: Allows users to sign contracts securely from anywhere.
• Automated contract workflows: Simplifies the process of sending, signing, and finalizing agreements.
• Audit trails & compliance tracking: Keeps a secure record of document activity for legal protection.
• Secure cloud storage: Stores signed contracts in a centralized system with encryption.
• Integrations with business & legal software: Works with CRM, document management, and legal tech platforms.

Pros

• Speeds up contract signing with secure e-signatures
• Reduces paperwork and manual contract management
• Provides audit trails for legal compliance
• Works across multiple devices for remote access

Cons

• Doesn’t analyze contracts for risks or legal issues
• Can be expensive for smaller businesses or solo practitioners
• Some advanced features require higher-tier plans

6. MyCase

Keeping legal documents organized can be a challenge in the legal profession, especially when juggling multiple cases. MyCase makes document storage simple by providing a secure, cloud-based system designed for law firms.

Source: G2

It helps attorneys store, access, and manage case files in one place, which helps reduce the risk of lost or misplaced documents.

MyCase offers other legal management tools, but its document storage feature makes sure all case-related files are easy to find, securely stored, and accessible from anywhere.

Key Features

• Cloud-based document storage: Keeps legal files organized and accessible from any device.
• Advanced search & tagging: Makes it easy to find case documents with filters and keyword searches.
• Role-based access control: Allows firms to manage who can view, edit, or download documents.
• Client portal integration: Lets clients securely access shared legal documents.
• Automatic backups & security encryption: Protects files from accidental loss or unauthorized access.

Pros

• Keeps all legal documents in one secure location
• Makes it easy to search and retrieve case files
• Allows controlled access for clients and team members
• Provides cloud-based access for remote work

Cons

• Doesn’t include AI-powered contract review or analysis
• Some features require higher-tier pricing plans
• May not be as advanced as dedicated document management systems

7. Harvey AI

AI is making legal work faster and more efficient, and Harvey AI is one of the newest tools built specifically for law firms.

Source: Harvey.ai

Designed to assist with legal research, contract review, and document analysis, Harvey AI helps lawyers process large amounts of information quickly while maintaining accuracy.

No AI can be a total replacement for human legal expertise. Nevertheless, many firms use Harvey AI to speed up repetitive tasks, analyze legal documents, and improve decision-making.

Key Features

• AI-powered legal research: Finds relevant case law, statutes, and legal precedents in seconds.
• Contract analysis & review: Identifies key clauses, missing terms, and potential risks in agreements.
• Litigation support: Assists with drafting legal arguments and summarizing case details.
• Document summarization: Extracts important points from long legal documents to save time.
• Natural language processing: Understands complex legal language and provides insights based on queries.

Pros

• Speeds up legal research by quickly retrieving relevant cases
• Helps identify risks and missing clauses in contracts
• Reduces the time spent summarizing lengthy legal documents
• Uses advanced AI to interpret legal language accurately

Cons

• Requires human oversight to verify AI-generated insights
• May not fully replace traditional contract review methods
• Pricing may be too high for solo practitioners or small firms

What Are the Benefits of Legal AI Tools for Legal Documents?

Legal AI tools do more than speed up work—they improve accuracy, compliance, and overall efficiency. From drafting contracts to reviewing agreements and organizing case files, AI takes care of the tedious tasks.

Before we start talking about the best AI tools, let’s go over why you should have them in the first place.

Speeds Up Document Drafting

Drafting legal documents takes time, but AI makes it a whole lot faster. Instead of starting from scratch every time, lawyers can generate complete, well-structured documents in minutes.

AI tools pull in key details, suggest relevant clauses, and format everything properly, cutting down on repetitive work.

Take Briefpoint, for example—it automates legal drafting by pulling case details and structuring them into polished documents. That means less time spent on manual entry and more time focusing on the actual case.

With tools like this, lawyers don’t have to get stuck in paperwork—they can move through their workload faster and more efficiently.

Reduces Human Errors

Mistakes in legal documents can lead to serious consequences, but AI helps catch them before they become a problem.

It scans for inconsistencies, missing clauses, and formatting mistakes that might slip through in manual reviews. By flagging these issues early, AI lowers the risk of legal disputes caused by overlooked details.

Common errors AI can detect include:

• Inconsistent terminology
• Missing key clauses
• Formatting mistakes
• Duplicate or conflicting sections
• Incorrect dates or names
• Ambiguous language
• Non-compliant contract terms

With AI handling the tedious review work, lawyers can feel more confident that their documents are accurate and airtight.

Improves Compliance With Legal Standards

Legal documents need to follow strict guidelines, and AI helps make sure nothing falls through the cracks. Many AI tools are built with legal frameworks in mind, and they can review compliance with industry and regulatory requirements without constant manual review.

For example, some contract management tools automatically flag terms that don’t meet specific legal standards or suggest revisions based on recent regulations. This helps law firms and businesses stay compliant without having to comb through every document line by line.

Instead of worrying about missing an important requirement, legal teams can rely on AI to keep their documents in check.

Maximizes Contract Review Efficiency

Manually reviewing contracts takes time, but AI speeds up the process. AI-powered tools scan documents in seconds, flagging risks, obligations, and key clauses that need attention.

These tools highlight missing terms, inconsistent language, and potential compliance issues, making it easier to catch problems early. Some platforms even provide side-by-side comparisons to track changes between versions.

Saves Costs on Administrative Tasks

Nobody wants to waste time on paperwork, and AI helps cut down on it. By handling routine tasks like document drafting, contract management, and data entry, AI lets law firms spend less on admin work and more on what really matters.

For example, AI can auto-fill forms, generate contracts from templates, and organize case files without anyone having to do it manually. That means fewer billable hours lost to repetitive work and more time for legal teams to focus on clients.

Supports Legal Research and Case Preparation

Some AI tools can scan thousands of past cases, legal precedents, and regulations in seconds to pull out the most relevant information.

This helps lawyers build stronger arguments without spending hours flipping through legal texts. Some AI tools even summarize key points from cases, which helps make it easier to spot trends and key rulings.

With quick access to the right information, legal teams can prepare cases more efficiently and focus on strategy instead of getting lost in research.

Keeps Documents Organized and Accessible

Legal files pile up fast, and finding the right document can be a hassle. AI helps by sorting, categorizing, and tracking legal files so everything stays organized.

With AI-powered tools, contracts, case files, and agreements are easy to search and retrieve. Some platforms even tag documents based on keywords, client names, or contract terms, cutting down on time spent hunting for files. Automated reminders also help legal teams stay on top of deadlines.

Start Automating Your Biggest Bottleneck With Briefpoint

Plenty of AI tools can help optimize your law firm, but the real game-changer is eliminating the most tedious tasks. Discovery document drafting slows down legal teams, eats up billable hours, and leaves too much room for human error.

That’s where Briefpoint makes a difference.

By automating discovery responses, Briefpoint takes the manual work out of drafting Requests for Admission, Requests for Production, and Interrogatories.

Instead of spending hours formatting and writing, you can upload a discovery request, generate a structured response, and finalize it in minutes. It’s fast, accurate, and designed to fit into your existing workflow with Briefpoint Bridge.

If discovery responses are holding your firm back, it’s time to make a change, just like the 500+ law firms who already trust Briefpoint.

Schedule a demo today and see how Briefpoint can help you get through your workload faster—with fewer headaches!

Take Your Time and Money Back This Year

Discovery responses cost firms $23,240, per year, per attorney. $23,240 estimate assumes an associate attorney salary of $150,000 (including benefits – or $83 an hour), 20 cases per year/per associate, 4 discovery sets per case, 30 questions per set, 3.5 hours spent responding to each set, and 1800 hours of billable hours per year.

Under these assumptions, you save $20,477 using Briefpoint, per year, per attorney.

Test Briefpoint yourself by scheduling a demo here.