What Is Litigation Support Automation?

Litigation support automation uses software to handle repeatable work that comes up throughout a case. Rather than asking your team to re-enter the same information or move each task forward manually, the system helps keep the workflow moving with fewer administrative steps.

Common tasks include:

• Case intake
• Discovery drafting
• Client information collection
• Document review
• Bates numbering
• Deadline tracking

The exact setup can look different from one firm to another. Some legal teams use workflow automation for a single stage of litigation, while others connect several parts of the case process.

How Does Litigation Support Automation Work?

Litigation support automation starts with a trigger in your existing workflow. That could be anything from a new case entering the system to a document being uploaded. The software then carries out the next action based on rules, templates, or AI.

Common technologies include:

• Rules-based automation: Moves tasks forward when a set condition is met, such as assigning work after intake is complete.
• Document automation: Pulls case data into templates to create first drafts with less manual entry.
• Artificial intelligence: Reviews source material and helps generate content based on the facts in the file.
• Natural language processing: Interprets written requests and identifies relevant language in case documents.
• System integrations: Connects tools so information can move between platforms without repeated copying.

For litigation teams, legal automation can reduce manual processes throughout a case. Some firms use process automation for a single routine task, while others build automated workflows that connect several stages of the litigation process.

Which Litigation Tasks Can Be Automated?

Many litigation tasks follow repeatable steps, which is exactly what makes them good candidates for automation. The sections below cover the parts of casework that litigation teams can often streamline with software:

Case Intake and Matter Setup

Automation can create a new matter as soon as a client submits an intake form. The system can transfer the information into your case management platform, assign the file, and open the next task without requiring legal professionals to enter the same details again.

For example, a personal injury firm could use an online intake form to collect accident details. Once submitted, the software can create the matter and send the client the next required form.

In turn, this reduces repetitive tasks at the beginning of a case and gives your team a cleaner starting point.

Document Collection and Organization

Automation tools can help your team collect files from clients and place them in the correct matter. They can also rename uploads or sort them based on the document type.

Common files include:

• Legal documents
• Medical records
• Client correspondence
• Photographs
• Expert reports
• Court filings

If you’re dealing with legal cases with a large document volume, automated organization makes it easier to locate the right file more easily and quickly.

Discovery Request Drafting

Using automation can speed up the early drafting work for interrogatories, requests for admission, and requests for production. Attorneys may start by choosing the discovery document they need, and then using software to shape the requests around the facts.

A typical process may include:

• Reviewing source material: The software reads pleadings or other case information to identify useful topics.
• Selecting the request type: Attorneys choose the document and define the scope.
• Generating the draft: The platform prepares requests using the case details and preferred language.
• Exporting the document: The draft is moved into Word for editing and filing preparation.

Tools such as Briefpoint can help firms follow the same drafting process from one matter to the next. This can reduce setup time while allowing firms to handle larger caseloads more efficiently.

Discovery Response Preparation

You can also use automation to help with incoming discovery. For example, the software can read each request, organize the response work, and prepare draft language using information already available in the matter.

In a litigation practice, this can reduce the time spent moving client answers into documents or matching responsive files to individual requests. Legal workflow automation may also help organize discovery objections and place supporting details under the correct response.

Once routine processes are connected, your team can move from the incoming request to a usable draft with fewer manual steps.

Client Information Collection

Gathering details from clients can become time-consuming when answers arrive through calls or email threads.

Automated litigation support gives your clients a structured place to submit information and keeps each response tied to the correct case.

The process may include:

• Digital questionnaires: Clients answer questions through an online form built around the matter.
• Conditional prompts: Follow-up questions appear based on earlier responses.
• Secure data transfer: Client data moves directly into your firm’s system.
• Progress tracking: You can see which questions are complete and which still need attention.

Automation can also make client meetings more productive. When you review the submitted answers beforehand, you can spend the meeting clarifying important details rather than collecting basic information.

Document Review and Identification

Document review software helps you work through large case files and locate material connected to a request or legal issue. It can narrow the pool of documents before you begin a deeper review.

Useful functions include:

• Keyword and concept search: Finds documents containing a term or discussing a related idea.
• Document classification: Sorts files based on their content or likely relevance.
• Duplicate detection: Identifies repeated copies of the same document.
• Responsive document matching: Links case files to the requests they may answer.
• Privilege flagging: Marks documents that may contain protected information.

When you are handling multiple cases, these tools can reduce the administrative burden tied to early review. Plus, they can limit unnecessary risk from missed files and create measurable benefits through faster document identification.

Bates Numbering and Production

Bates numbering is the process of assigning a unique, sequential identifier to every page in a document production. The Bates number usually appears in the same place on each page, which makes it easier to cite a specific document during discovery or later in the case.

Automation can apply these numbers to an entire production set at once. It may also organize the files in production order and create a corresponding index.

For example, a set of 500 pages might be labeled ABC000001 through ABC000500, giving you a clear reference for each page.

This saves legal staff from entering numbers manually and reduces the chance of skipped or repeated identifiers. At the same time, it can shorten processing time when a production contains many files or needs to be prepared on a tight schedule.

Deadline and Task Management

Automation can help you keep case deadlines visible and move assignments forward as dates approach. It may also streamline operations by sending automated notifications when action is required.

Common uses include:

• Court deadline tracking
• Discovery due dates
• Task assignments
• Status reminders
• Calendar updates
• Escalation alerts

Legal Research and Case Analysis

AI legal research tools can help you find relevant authority sooner and work through a large body of legal material with less manual searching.

For example, you can enter a question in plain language, review the cases the system identifies, and compare how courts have treated a similar issue.

The same technology can also summarize decisions or pull key passages from lengthy opinions. In complex cases, this gives lawyers more time to examine how the authority affects case strategy rather than spending most of the research window locating basic sources.

The potential time savings are substantial. Thomson Reuters estimates that AI-assisted legal research can reduce the research time for an average litigation matter from 17–28 hours to roughly 3–5.5 hours.

And for law firms with limited resources, that faster starting point can make legal support available earlier in the case and help the attorney develop a clearer direction before drafting begins.

Reporting and Case Updates

Automation can pull current information from your case systems and turn it into a consistent update for clients or internal review.

The report may include:

• Recent case activity
• Upcoming deadlines
• Current matter status
• Completed tasks
• Pending client requests
• Next steps

For instance, after a discovery response is served, the system could update the case status and send the client a short notice explaining what happened. Your staff would not need to rebuild the update from separate notes each time.

Regular reporting also gives you a clearer view of active work and helps clients understand what is happening with their case. For one, clearer communication can support better service and create a smoother experience around your legal services.

Benefits of Litigation Support Automation

We’ve talked about the tasks litigation support automation can handle. The practical benefits become clearer when you look at how those tools affect daily work.

Key benefits include:

• Less manual data entry: Information can move from intake forms or case files into later documents with fewer repeated inputs.
• Faster turnaround: Automated steps can shorten the time needed to prepare drafts or organize files.
• More consistent workflows: Legal departments can follow a repeatable process even when complex workflows involve several people.
• Better client service: Faster responses and clearer updates can improve client engagement during the case.
• More time for higher value work: Lawyers can spend more of the day on analysis, negotiation, or case strategy.
• Easier adoption across practice areas: Firms can apply automation to different types of litigation rather than limiting it to one narrow use case.

For the legal industry, the broader shift is toward reducing the administrative load tied to daily tasks. That gives your staff more room to focus on substantive legal work and deliver a smoother experience for clients.

How to Choose Litigation Support Automation Software

Litigation platforms are not created equal, so start with the work you actually want to improve.

A tool may look impressive in a demo but still add friction if it does not fit the way your firm handles cases, so make sure to consider the following:

• Workflow fit: Look for software that supports your current process and can adapt as your needs change.
• Data security: Review how the provider stores client information, controls access, and protects files during transfer.
• Compliance support: Check for safeguards that align with professional obligations and the rules affecting your practice.
• Useful integrations: Confirm that the platform connects with the systems your staff already uses.
• Ease of adoption: Choose a tool that legal staff can learn without rebuilding the entire workflow.
• Reporting and visibility: Make sure you can track progress and see where work is slowing down.
• Vendor reliability: Review customer support, product updates, and experience in the legal field.

Reduce the Manual Work Behind Litigation

Litigation support automation can make the routine side of casework easier to manage. When repetitive steps take less time, your firm has more room for substantive work and better communication with clients.

Discovery is one area where the administrative load can become particularly heavy. Briefpoint helps you draft and respond to interrogatories, RFAs, and RFPs using the facts in the case file. It can also collect client answers through a secure, mobile-friendly link.

For document productions, Briefpoint identifies responsive files and prepares Bates-cited Word responses with page-level references.

Apart from that, the platform can generate an organized production package that is ready for service. Firms handling matters in different jurisdictions can use it throughout all 50 states and federal district courts.

Book a demo today.

What Is AI Discovery Software?

AI discovery software uses artificial intelligence to help legal professionals handle parts of the discovery process with less manual work. It can support written discovery, document review, client information collection, and other litigation tasks that often take significant time.

This category is becoming more common, though it is still broader than a single type of product. Some legal AI tools focus on drafting interrogatories or responses, while others review large document sets and flag potentially relevant material.

Traditional discovery software usually relies on search filters, templates, and rules created by the user. On the other hand, AI-powered platforms can interpret case information, recognize context, and generate work based on the documents provided, just to name a few capabilities.

The main difference comes down to how much the system can understand. Non-AI tools follow preset instructions. AI discovery software can analyze language and adapt its output to the case, which can make discovery work faster and easier to manage.

How AI Is Used in the Legal Discovery Process

AI for legal discovery can support several parts of the process, from early drafting through document production.

The exact role depends on the software, but most tools focus on reducing repetitive work while keeping legal professionals in control of the final output.

Drafting Discovery Requests

An AI tool can review the complaint and other case materials to prepare a first draft of written discovery. Legal teams can then refine the language based on the strategy of the matter and the court’s rules.

For example, a plaintiff-side firm handling an employment dispute could upload the complaint and ask the software to draft interrogatories related to the employer’s stated reason for termination. The system may also suggest a relevant request for production based on the same issue.

Attorney review still plays a central role, especially when the wording could affect later discovery responses or motion practice. However, a case-aware draft gives the lawyer a stronger place to start and reduces the time spent reworking old templates.

Preparing Responses and Objections

AI can also support discovery workflows after requests arrive. The software reviews each request, compares it with the case materials, and prepares draft responses or discovery objections based on the available information.

Relevant information from client questionnaires, uploaded records, or prior filings can be connected to the correct request. That can give legal departments and law firms a clearer starting point for review, particularly in matters with long request sets.

Like always, leveraging AI does not remove the need for legal judgment. Attorneys still need to confirm the facts, assess privilege, and decide which objections are appropriate under the governing rules. The software mainly reduces the repetitive work involved in sorting requests and building the first draft.

Collecting Information From Clients

Client input often shapes a discovery response, but email chains and repeated follow-ups can slow the process. AI-driven software can send clients a secure questionnaire that explains each request in clearer language and asks for the details needed.

The platform can also organize large volumes of information as the client submits answers or uploads files. This gives the legal team one place to review the material and see which requests still need attention.

Common uses include:

• Sending secure questionnaires
• Requesting supporting files
• Tracking incomplete answers
• Connecting submissions to the relevant request

Finding Responsive Documents

AI systems can compare a discovery request with files from available data sources and identify material that may be responsive. This can support saving time when a matter involves large data sets that would otherwise require repeated manual searches.

For example, a request may seek communications related to a contract amendment. The software can review uploaded emails and flag messages that discuss the amendment, even when the wording differs from the request.

These processes may include:

• Matching files to specific requests
• Flagging possible duplicates
• Marking documents for attorney review
• Connecting responsive files to draft responses

Preparing Documents for Production

AI discovery software can help organize digital information after responsive documents have been reviewed. Depending on the platform, it may apply Bates numbers and prepare a production set in the required format.

Generative AI may also help draft the accompanying responses or identify where citations should appear. Attorney review still remains necessary before anything is served. Relying solely on the software could lead to missing files, incorrect labels, or production choices that do not fit the case.

A careful final review should confirm that privileged material has been withheld, the production matches the agreed scope, and each document appears in the correct place.

What Types of Discovery Can AI Software Handle?

AI software can support several forms of discovery, though its capabilities vary by platform. Some products focus on written discovery for a single case, while eDiscovery systems review large collections of digital data.

Depending on the platform, AI discovery software may support areas such as:

• Interrogatories: AI can draft questions based on the pleadings and prepare response language from client-provided facts.
• Requests for admission: The software can create targeted statements or help draft admissions and denials for attorney review.
• Requests for production: AI can prepare document requests and identify relevant documents connected to each request.
• Document review: eDiscovery tools can search files from sources such as email accounts or shared drives and flag material related to the dispute.
• Investigations: AI can help organize records and locate connections within a large body of information before or during litigation.

These capabilities can apply to many practice areas. In a personal injury case, for example, the software might help draft written requests and review medical records for information connected to the claimed injuries.

Key Features of AI Discovery Software

A strong AI discovery platform should fit the way your firm already handles case preparation and review. Look for features that support the work from the first draft through final production, such as:

Case-Aware Drafting

Case-aware drafting uses the facts and documents from a specific matter to produce more relevant discovery language. Rather than pulling from a generic template, the software can shape requests around the claims, defenses, and issues already present in the case.

For example, in a wage dispute, the platform might review the complaint and draft interrogatories focused on timekeeping practices. It could also suggest a related request for production tied to payroll records.

This feature can support early case assessment by helping attorneys spot missing information sooner. It may also surface key insights that guide informed decisions about what to request next. How legal teams use the draft still depends on their strategy, so attorney review remains part of the process.

Client Information Collection

As noted earlier, client input often feeds directly into discovery responses. A strong platform can collect that information through a secure portal and connect each submission to the correct request.

Common collection features include:

• Secure questionnaires
• File uploads
• Status tracking
• Evidence organization
• Electronically stored information intake

This keeps the review process more organized and gives the attorney a clearer record of what the client has provided.

Responsive Document Identification

Once the requests for production are in place, the next step is finding the documents that actually respond to them. Technology-assisted review can compare each request with the available case files and flag material that appears relevant.

The software looks at context rather than relying only on exact keyword matches. As a result, it may surface useful documents even when the wording differs from the language in the request.

A strong platform should also show where it searched and let you confirm or remove suggested files. That visibility makes the review process easier to manage before any document becomes part of the production.

Bates Numbering and Citations

After the responsive files have been selected, they still need to be organized for production. A Bates number is a unique identifier placed on each page so attorneys can refer to a specific document or page without relying on file names.

Briefpoint’s Autodoc handles this part of the process by identifying responsive documents, applying Bates numbers, and preparing Word responses with page-level citations. It can also package the selected files for production.

Advanced search controls help you review where the system looked, while the citations connect each substantive response to the correct Bates range. Together, these features can improve accuracy and reduce the manual work involved in labeling and cross-referencing documents.

Discovery Workflow Integrations

Integrations help AI discovery software fit into the tools your team already uses. For example, the platform may connect with document storage systems so case files can move into review without repeated uploads.

It may also work with case management software or an AI assistant that helps attorneys find prior responses and related matter information.

Some integrations support reviewing and analytics as well. A dashboard might show which requests still need attention or how much material has been collected for production. That can give the team a clearer view of the workload and help shape case strategy.

Storage costs deserve attention too, especially when the platform handles large collections of files. Before choosing a product, check how it stores data, what limits apply, and what happens when a matter grows.

Other Features to Look For

Core drafting and document tools may get most of the attention, but a few supporting features can have a major effect on daily use. Before choosing a platform, look closely at how it handles security, search, and review:

• Security and access controls: The software should protect client data with clear permissions, audit logs, and controls that limit who can view or change sensitive information.
• Natural language queries: Strong platforms let you search case files using everyday questions rather than relying only on simple keyword searches.
• Natural language processing: This helps the software understand context, which can improve document matching and reduce irrelevant results.
• Machine learning review: Some systems learn from attorney decisions during review and use that feedback to rank potentially relevant material.
• Risk assessment tools: Useful features may flag privilege concerns, missing information, or other potential risks that need closer review.

You should also consider the learning curve. A feature-rich product may offer stronger risk mitigation, but it still needs to fit the team’s workflow. A guided trial can help you assess risk and see how much training the platform will require.

The Benefits of Using AI for Discovery

AI discovery software can improve several parts of the process, including but definitely not limited to:

• Faster review: AI can examine large document collections and identify potentially relevant material sooner, which can shorten the time spent on manual review.
• Stronger analysis: The software can connect related information, highlight patterns, and surface meaningful insights that may influence case strategy.
• More consistent drafting: Approved language and internal standards can be applied to discovery requests or responses with fewer manual revisions.
• Better workload management: Law firms and corporate legal departments can handle larger matters without placing every review task on an attorney or paralegal.
• Improved search quality: Natural language tools can help you find useful information that simple keyword searches may miss.
• Support for compliance requirements: Search histories, access logs, and review records can help document how information was collected and handled.
• Clearer case preparation: Faster analysis can help teams answer key questions earlier and focus attention on the documents that deserve closer review.

Make Discovery Work Easier to Manage

AI discovery software can help you move from the first draft to final production with far less repetitive work. Nevertheless, the best results come from a platform built around the actual demands of litigation rather than a general-purpose AI tool.

Briefpoint focuses specifically on written discovery. You can draft interrogatories, requests for admission, and requests for production from the case materials already in front of you.

Then, when responses come due, the platform can prepare objection-aware drafts and collect client answers through Client Bridge.

From there, Autodoc brings document review and production into the same workflow. It can locate responsive files, apply Bates numbers, add page-level citations to Word responses, and prepare the production package for service.

Briefpoint also lets firms use Discovery Playbooks to apply their preferred objection language and response approach more consistently. That gives you a clearer process from drafting through production without piecing together several disconnected tools.

Book a demo today.

The Civil Litigation Timeline at a Glance

A civil lawsuit can move through several stages before the court reaches a final decision. Some civil cases end early through dismissal or settlement, while others continue through trial and appeal.

Here is a quick look at the typical litigation process:

• Pre-litigation: The parties review the facts, preserve relevant evidence, and explore whether the dispute can be resolved before filing.
• Pleadings: The plaintiff files a complaint, serves the defendant, and receives an answer or another formal response.
• Case scheduling: The court sets key deadlines for the discovery process, motions, and other upcoming proceedings.
• Discovery process: Each side requests information, exchanges documents, takes depositions, and works through any disputes over what must be produced.
• Pretrial motions: Attorneys may ask the court to resolve specific legal issues or dismiss part or all of the civil case.
• Settlement: Negotiations or mediation can take place at almost any point, even shortly before trial.
• Trial: Both sides present evidence and arguments before a judge or jury, which then reaches a decision.
• Post-trial and appeal: The parties may file additional motions, enforce the judgment, or ask a higher court to review the outcome.

How Long Does Civil Litigation Usually Take?

Civil litigation can last anywhere from a few months to several years. According to the United States Courts’ Judicial Business 2025 report, the median time from filing to disposition for federal civil cases was 15.6 months in 2025. Cases that reach trial usually take longer.

Of course, no two cases move at the same pace. The timeline depends on the court, the applicable rules of civil procedure, and the amount of work involved.

Personal injury cases may resolve sooner when liability and damages are fairly clear. On the other hand, a case can become much more time-consuming when it involves extensive discovery, expert testimony, or repeated motions.

A general timeline may look like this:

• Early settlement or dismissal: A few months
• Resolution during discovery: Six months to two years
• Case proceeding to trial: One to three years or longer
• Appeal after judgment: Several additional months to multiple years

Even then, these are only rough estimates. Court congestion, discovery disputes, scheduling changes, and the number of parties can all affect how quickly the case moves.

What the Litigation Timeline Looks Like

A civil case usually moves through a series of stages, though some may overlap or end earlier if the parties reach a resolution.

Here is how the timeline typically unfolds:

Pre-Litigation Investigation and Case Assessment

Before a lawsuit is filed, the attorney reviews the facts, available evidence, and possible legal claims. This early stage helps determine whether the case is strong enough to pursue and what steps may be needed next.

In a personal injury lawsuit, for example, the review may include medical records, accident reports, and information from the opposing party.

The process generally covers:

• Client interviews
• Evidence preservation
• Legal research
• Damages assessment
• Statute of limitations review
• Early settlement discussions

Filing the Complaint

The lawsuit formally begins when the plaintiff files a complaint with the court. This document outlines the legal claims, identifies the parties, and explains what relief the plaintiff is asking the court to provide.

The plaintiff will usually file any required court forms, pay the filing fee, and request a summons for the defendant.

Serving the Defendant

After filing, the plaintiff must formally notify the defendant that the lawsuit has started. Service has to follow the court’s rules, and the plaintiff will later file proof showing that delivery was completed properly.

Unfortunately, delays can happen if the defendant is difficult to locate, refuses service, or challenges the method used.

The Defendant’s Response

After being served, the defendant has a set amount of time to respond. Their lawyer may file an answer that admits or denies the allegations, raises defenses, or brings claims against the other side.

For example, a defendant in a contract dispute might deny breaching the agreement and argue that the plaintiff failed to perform first. In some cases, the response comes as a motion asking the court to dismiss all or part of the lawsuit before the case moves further.

Initial Case Management and Scheduling

Once the parties have filed their initial pleadings, the court begins organizing how the case will move forward. The judge may hold a case management conference, set deadlines for discovery and motions, and establish a tentative trial date.

The schedule gives both sides a shared roadmap, but it may change as the case develops. Extensions or new issues can push deadlines back, while a settlement may bring the case to an earlier close.

The Discovery Phase

The discovery stage usually begins after the main pleadings are in place, including the complaint and the defendant’s responsive pleading.

At this point, each side asks the other party for information that may support its claims or defenses.

The scope and length of discovery depend on the circumstances of the case. A straightforward dispute may involve a limited exchange, while a case with extensive records or several witnesses can take much longer. The main phases often include:

• Written discovery: Lawyers send written questions through interrogatories and requests for admission.
• Document requests: Each side asks for records, files, and other materials connected to the dispute.
• Depositions: Attorneys question parties or witnesses under oath before trial.
• Expert discovery: Specialists may prepare reports or give testimony on technical issues.
• Discovery disputes: The parties may ask the court to step in when they disagree about a request or response.

Discovery can begin months after filing suit and often continues for much of the case. It gives both sides a clearer view of the evidence before settlement discussions, motions, or trial.

Expert Witness Discovery

Some cases require expert witnesses to explain technical issues or offer specialized opinions. During this stage, each side may disclose its experts, exchange reports, and prepare depositions so the other side can examine the basis for those opinions.

A plaintiff’s attorney might use an expert to explain medical treatment in an injury case, while the defense may bring in its own expert to challenge that analysis. The court usually sets firm deadlines for disclosures, rebuttal reports, and related motions.

Pretrial Motions

Before a jury trial begins, either side may ask the court to decide certain issues in advance. These motions can narrow the dispute, exclude evidence, or resolve the case before trial if the judge finds that no genuine factual issue remains.

Common motions include motions for summary judgment, motions to exclude expert testimony, and motions in limine. Each one must follow the court’s schedule, and the opposing side receives notice and an opportunity to respond.

Settlement Negotiations and Alternative Dispute Resolution

Many civil cases end before trial through settlement or another form of alternative dispute resolution. These discussions can happen early, during discovery, or after the court rules on major motions.

Common options include:

• Direct negotiation: The parties discuss possible terms through their lawyers and try to reach an agreement.
• Mediation: A neutral mediator helps both sides work toward a voluntary resolution.
• Settlement conference: A judge or court-appointed officer guides the parties through structured negotiations.
• Arbitration: A neutral decision-maker hears the dispute and issues a ruling, which may be binding depending on the agreement.

Settlement talks can become complicated when the parties disagree about things like liability or how much money should be paid. Even so, resolving the case outside trial can reduce legal costs and give both sides more control over the outcome.

Final Pretrial Preparation

As the trial date approaches, both sides check off tasks like organizing the evidence, confirming which witnesses will appear, and preparing the arguments they plan to present.

The court may also hold a final pretrial conference to address remaining issues and set expectations for the proceedings.

Final trial preparation often includes:

• Witness lists
• Exhibit lists
• Trial briefs
• Motions in limine
• Jury instructions
• Subpoenas
• Opening statements
• Closing arguments

Trial

At trial, each side presents its case through evidence, witness testimony, and legal arguments. The plaintiff usually goes first, followed by the defense, and both sides have a chance to question witnesses and challenge the evidence presented.

A judge or jury then decides the disputed facts and applies the relevant law. Some trials finish in a day or two, while more complex cases may continue for several weeks.

However, reaching this point can still take several months or years because the parties must first complete discovery, resolve pretrial motions, and prepare the case for presentation.

Once both sides have finished, the judge or jury issues a decision. That ruling may resolve the dispute, though either party may still file post-trial motions or pursue an appeal.

Post-Trial Motions and Judgment

After the trial ends, the court enters a final judgment that states the outcome and any relief awarded. A party may then ask the judge to reconsider part of the decision or address an issue that arose during trial.

Common post-trial steps include:

• Motion for a new trial: Requests another trial because of a serious legal or procedural problem.
• Motion to alter or amend the judgment: Asks the court to revise part of the final judgment.
• Motion for judgment as a matter of law: Argues that the evidence could not reasonably support the verdict.
• Enforcement of judgment: Begins the process of collecting money or carrying out another court-ordered remedy.

A default judgment follows a different path and may be entered when a defendant fails to respond or appear as required.

Appeals

A party that believes the trial court made a legal error may ask a higher court to review the decision. The appeal must be filed within the deadline set by the jurisdiction, and the appellate court usually reviews the existing record rather than hearing the case again from the beginning.

After considering written briefs and, in some cases, oral arguments, the appellate court may affirm the judgment, reverse it, or send the case back for further proceedings.

How AI Litigation Support Software Can Help

A litigation timeline can create a lot of routine work, particularly during discovery and document-heavy stages. AI litigation support software can make that work easier to manage, which gives lawyers more room to focus on the facts and the decisions that shape the case.

Depending on the platform, it may help with:

• Document review: Search large sets of files and identify material that may be relevant or responsive.
• Discovery drafting: Prepare written discovery requests and responses using information already connected to the case.
• Client collection: Gather answers and supporting files through guided questionnaires or secure forms.
• Production preparation: Organize documents, apply Bates numbers, and prepare files for production.
• Response updates: Revise prior discovery responses when new information comes in.

How Briefpoint Helps Keep Discovery Moving

Discovery often takes up a large part of the litigation timeline, and much of that time goes toward repetitive drafting, client follow-up, and document production.

Briefpoint brings those tasks into one workflow, so your team can move from incoming requests to ready-to-serve responses with less manual work.

You can use Briefpoint to propound and respond to interrogatories, RFAs, and RFPs for all 50 states and federal courts.

Autodoc reviews case files, identifies responsive documents, and creates Bates-cited Word responses with page-level citations, along with a Bates-numbered production package.

Client Bridge collects answers and files through a secure link that works on any device in English or Spanish. The information then flows back into the response draft for attorney review, so you spend less time chasing updates and transferring answers manually.

As the case develops, supplemental responses let you update prior interrogatories, RFAs, and RFPs while keeping earlier answers intact and available for reference.

Book a demo today.

What Is AI Litigation Support Software?

AI litigation support software generally refers to technology that helps legal professionals work through time-consuming case tasks with less manual effort.

For example, it uses legal AI to process case information, organize materials, and surface useful details that could otherwise take hours to find.

Essentially, the software gives law firms a faster way to work with large amounts of case data. Depending on the platform, it may support parts of the litigation process such as discovery, document review, or legal research.

The information is then presented in a clearer format, which can make it easier to understand what is relevant and decide what needs attention next.

From there, legal AI tools can help create a more consistent workflow as a case develops. Your team may spend less time searching through disconnected files, repeating routine work, or manually sorting new information as it comes in.

Generally, the best platform is one that fits naturally into the way your firm already handles litigation. It should make case materials easier to review and use without adding unnecessary steps to the process.

What Difference Does AI Make?

AI mainly changes how quickly your team can work through large amounts of case information. It can also make repetitive legal work easier to manage as a case grows.

Here are a few of the biggest differences:

• Faster document review: AI-powered platforms can process tens of thousands of pages and surface relevant material much sooner than a manual review.
• More focused legal work: Legal AI can organize case information and highlight useful connections, which gives your team more time to examine the issues that need closer attention.
• Better legal context: Legal-specific AI models generally understand legal language and workflows more clearly than general-purpose AI tools.
• Greater consistency: AI can apply the same review criteria throughout a large document collection, which helps reduce variation during repetitive work.
• More capable automation: Agentic AI can handle connected parts of a workflow with less step-by-step input and prepare material for the next stage of review.

General AI tools may still help with basic summaries or drafting, but litigation software usually gives you stronger legal context and features built for active casework.

7 Top Software Options for AI Litigation Support

Your choice will depend on the type of casework you want the software to handle and how well it fits your existing tech stack.

Here are seven options that take different approaches to litigation support, which should make the comparison easier:

1. Briefpoint

Briefpoint is an AI litigation support platform built specifically for written discovery. It helps lawyers prepare a solid first draft of discovery requests and responses without spending hours copying language between files, formatting legal documents, or rebuilding prior work for each case.

The process starts with your existing case documents. Briefpoint reviews the uploaded material, identifies relevant facts, and generates draft responses that reflect the applicable court rules.

Your team can then refine the language and export the completed work to Microsoft Word before serving it on opposing counsel.

Briefpoint also supports the client-facing side of discovery. Client Bridge converts formal questions into plain English and gives clients a secure place to submit answers and files.

For requests for production, Autodoc identifies responsive documents and creates Bates-cited responses with an organized production package.

Because these steps stay connected, firms can reduce the billable hours spent on routine discovery work while keeping the final document drafting process familiar.

Best Features

• AI discovery drafting: Creates interrogatories, requests for admission, and requests for production based on the complaint and case details.
• Discovery responses: Suggests objections and prepares draft responses using your firm’s preferred language.
• Client Bridge: Rewrites questions in plain English and sends clients a secure link where they can provide answers or upload files from any device.
• Autodoc: Finds documents responsive to each RFP and generates Bates-cited Word responses alongside an organized production package.
• Jurisdictional support: Applies local formatting rules and supports discovery work in state and federal courts throughout the United States.

Pros

• Focuses closely on the written discovery workflow
• Produces editable Microsoft Word documents
• Reduces the time spent preparing and formatting legal documents
• Connects client collection directly to discovery responses
• Creates Bates-numbered production files with page-level citations

Book a demo now.

2. Everlaw

Everlaw is cloud-based litigation management software built around eDiscovery and case preparation. It gives your team one place to work through case files, review evidence, and keep legal workflows connected as the matter develops.

Its AI features help users ask questions about the document collection and trace the answers back to the source material.

Source: G2

Everlaw can also suggest document classifications during review, which may reduce the amount of repetitive sorting required when a matter contains a large volume of client data.

Plaintiff law firms may find the platform useful during early case assessment because it helps bring structure to the evidence before deeper strategy work begins. 

The shared workspace also makes it easier for attorneys and support staff to carry useful findings into later stages of litigation.

Best features

• Deep Dive: Answers questions using the case documents and provides source citations.
• AI coding suggestions: Supports faster document classification during review.
• Storybuilder: Helps teams connect evidence to case preparation.
• Early case assessment: Gives users a clearer view of the document collection.
• Collaborative review: Keeps assignments and findings in one shared workspace.

Pros

• Strong fit for document-heavy litigation
• Useful AI-assisted review tools
• Clear connection between evidence and case preparation
• Cloud-based access for distributed teams
• Suitable for plaintiff law firms handling complex matters

3. RelativityOne

RelativityOne is built for legal teams that need to manage large volumes of electronically stored information during litigation or investigations.

Its cloud-based workspace brings evidence management and document review together, which gives users a central place to work through complex data sets and prepare productions.

Source: Relativity.com

Relativity aiR adds generative AI to the review process. It can help identify important source documents, answer questions using cited evidence, and extract facts that may shape case strategy.

Plus, RelativityOne supports deposition transcripts, including AI-generated summaries and outlines linked to the underlying evidence.

The platform can adapt to different practice areas and data-heavy work such as regulatory filings. Detailed audit trails help teams monitor user activity and maintain a defensible record throughout the review process.

Best Features

• Relativity aiR: Uses generative AI to support review and case strategy.
• Transcript analysis: Creates summaries and deposition outlines from transcript evidence.
• Evidence management: Keeps review materials and case insights in one workspace.
• Audit tools: Tracks user activity and reviewer actions.
• Scalable processing: Handles large collections of electronically stored information.

Pros

• Built for complex, data-heavy litigation
• Connects AI answers to source documents
• Strong support for deposition preparation
• Detailed audit trails
• Scales for large legal teams

4. CoCounsel Legal

CoCounsel Legal brings Thomson Reuters’ research resources into an AI workspace built for litigation tasks. Users can review case materials, develop drafts, and work through legal questions using content from Westlaw and Practical Law.

Source: G2

You can ask natural language questions about case law and receive answers with citations to the supporting authority.

CoCounsel can then carry that research into related litigation work, such as reviewing court filings or developing an argument for a motion. This creates a more connected process than searching publicly available data and moving the findings into a separate drafting tool.

The platform can identify trends in judicial decisions and surface details that may influence case strategy. Its litigation document analysis features are especially useful when you need to understand an opposing filing or work through a complicated legal issue quickly.

Best Features

• Deep Research: Produces detailed answers grounded in Westlaw and Practical Law.
• Litigation Document Analyzer: Reviews court filings and highlights relevant legal issues.
• Natural language search: Lets users ask complex legal questions in familiar wording.
• Drafting support: Creates legal work product based on research and case materials.
• Source citations: Connects each answer to the supporting legal authority.

Pros

• Backed by established Thomson Reuters legal content
• Strong fit for research-heavy litigation
• Connects legal research with drafting
• Provides citations for easier review
• Handles complex questions through one AI assistant

5. DISCO

DISCO is a cloud-based eDiscovery platform that helps litigation teams review evidence and prepare cases from one connected workspace.

Its Cecilia AI tools support document summarization and let you ask questions about case materials in plain English, with citations that point back to the source documents.

Source: G2

The platform can be especially useful for plaintiff firms handling large or complex matters. DISCO is designed to work with substantial collections of client data, including medical records, while giving teams a clearer way to organize facts and move the case forward.

Its Case Builder product carries reviewed evidence into deposition and trial preparation, so useful findings remain available after document review ends.

Best Features

• Cecilia Q&A: Answers natural language questions with citations to case documents.
• Document summarization: Creates plain-English summaries inside the document viewer.
• Auto Review: Supports first-pass document classification based on your instructions.
• Case Builder: Carries evidence into deposition and trial preparation.
• Deposition summaries: Produces cited summaries linked to the transcript.

Pros

• Strong fit for evidence-heavy litigation
• Useful for plaintiff firms handling large case collections
• Connects document review with later case preparation
• Keeps source citations attached to AI-generated findings
• Provides controls for sensitive client data

6. Lexis+ with Protégé

Lexis+ with Protégé combines legal research, drafting, and document analysis in one AI-powered workspace.

Protégé serves as the built-in assistant, drawing from LexisNexis legal content alongside your firm’s own documents and institutional knowledge.

Source: LexisNexis.com

For litigation work, you can ask detailed questions in natural language and receive answers linked to supporting authority.

The platform can then carry those findings into a draft or help analyze uploaded case materials. Its workflow tools are designed to handle longer assignments in stages, with users able to review the proposed approach before the AI proceeds.

Access to the broader LexisNexis collection gives the platform a strong research foundation, including billions of legal and business documents. That depth can help lawyers spot emerging legal risks and develop arguments grounded in current authority.

Best Features

• Protégé: Provides personalized support for legal research and drafting.
• Legal research: Answers questions with linked, verifiable citations.
• Document analysis: Reviews uploaded case materials within the same workspace.
• AI workflows: Handles structured legal assignments through guided steps.
• Protégé Vault: Stores matter documents securely for continued use.

Pros

• Draws from authoritative LexisNexis content
• Connects firm knowledge with external legal research
• Supports complex litigation questions
• Keeps research and drafting closely linked
• Offers transparent, reviewable AI workflows

7. Harvey

Harvey is a broad legal AI platform designed for firms that want to apply AI throughout the litigation process.

It can support early case analysis, legal research, and document-heavy work within the same workspace, which may reduce the manual data entry that comes from moving information between separate systems.

Source: Harvey.ai

Litigators can use Harvey to evaluate complaints, build medical chronologies, and find gaps in the factual record. Its Vault and Review Tables features let teams analyze large document sets while keeping findings connected to the underlying materials.

Next, Harvey can carry those findings into drafting or further research, giving lawyers a useful first call when they need to understand a new issue or collection.

The platform’s workflow agents can automate recurring legal tasks and draw from your firm’s approved materials. This helps preserve institutional knowledge while giving more lawyers access to established work methods.

Harvey is generally best suited to larger organizations that want a flexible AI layer for the legal profession rather than software focused on one litigation task.

Best Features

• Vault: Reviews large collections of litigation documents.
• Review Tables: Extracts and compares information in a structured format.
• Workflow agents: Automates repeatable legal processes.
• Legal research: Provides citation-supported answers from approved sources.
• Drafting tools: Turns case analysis into usable legal work product.

Pros

• Covers a broad range of litigation work
• Reduces duplicate data entry between tasks
• Helps firms reuse institutional knowledge
• Supports custom workflows
• Handles complex document analysis

Turn AI Litigation Support Into Real-Time Savings

The best AI litigation support software should solve a clear problem in your current workflow.

Everlaw, RelativityOne, and DISCO are strong choices for document-heavy eDiscovery, while CoCounsel Legal, Lexis+ with Protégé, and Harvey support broader research and drafting work.

Briefpoint takes a more focused approach. It automates written discovery from the first draft through client collection and document production.

Meanwhile, Autodoc can identify responsive files, prepare draft responses, add Bates citations, and create an organized production package for service.

Briefpoint is trusted by more than 1,500 law firms and helps users save over 30 hours per case. Those time savings can reduce discovery backlogs and leave more room for case strategy and client work.

Book a demo today.

What Is Discovery Drafting?

Litigation moves into the discovery phase once the parties begin formally exchanging information about the case. This is where each side asks for facts, documents, and admissions that may shape how the dispute develops.

Discovery drafting is the process of preparing those written requests and responses.

For example, the plaintiff might send interrogatories asking the defendant to explain key events, while the other side may request records or ask the plaintiff to admit certain facts. Attorneys also draft objections when a request is vague, overly broad, or seeks protected information.

Naturally, the work requires close attention because each response must reflect the facts of the case and follow the applicable court rules. Language pulled from an old template may need substantial revision before it fits the current dispute.

Strong discovery drafting helps you ask clearer questions and provide responses that accurately represent your client’s position.

It can narrow disputed issues, reveal useful evidence, and give both sides a better picture of the case before other steps like depositions, settlement discussions, or trial.

Types of Discovery Documents

Discovery can take several forms depending on what you need to learn or prove. These are some of the most common discovery requests used in civil litigation:

Interrogatories

Interrogatories are written questions that one party sends to another. The receiving party must answer them under oath within the deadline set by law.

They can help you identify witnesses, clarify what allegedly happened, and understand the other side’s version of events (among others). Attorneys often use them to gather basic facts before moving into more detailed discovery.

Common types include:

• Form interrogatories
• Special interrogatories
• Contention interrogatories
• Background questions
• Questions about other persons with relevant knowledge

Requests for Production

Requests for production ask a party to provide documents, electronically stored information, or physical items connected to the dispute. These requests may cover records that support your client’s story or help test claims made by the other side.

Each request should describe what is being sought clearly enough for the receiving party to identify and produce responsive material.

Requests for Admission

Requests for admission ask the other party to admit or deny specific statements. They are often used to confirm facts that should not require further proof and narrow the issues that remain disputed.

A clear answer can save time later in the case. If a party admits a fact, you may not need separate evidence to prove it at trial.

Depositions

Depositions allow counsel to question a party, witness, or expert under oath before trial. The testimony is usually recorded by a court reporter and may be used later to evaluate credibility, prepare motions, or challenge a witness’s account.

A deposition can be helpful when written discovery leaves gaps or when you need to hear the full story in the witness’s own words.

Subpoenas

A subpoena is a formal command requiring a person or organization to appear, provide testimony, or produce documents. Attorneys often use subpoenas to discover information held by someone who is not directly involved in the lawsuit.

The person called may need to attend a deposition, appear in court, or present specific records.

Other Discovery Documents

Other discovery tools may come into play depending on the dispute and the applicable rules. These include:

• Expert disclosures: Identify expert witnesses and summarize the opinions they expect to present.
• Initial disclosures: Provide basic information about witnesses, damages, and documents early in the case.
• Medical examination requests: Ask the court to require an examination when a person’s physical or mental condition is disputed.
• Requests for inspection: Allow a party to inspect property, equipment, or another location connected to the case.
• Supplemental responses: Update earlier answers when new information becomes available.

Common Issues During Discovery Drafting

Discovery drafting can take longer than expected because each request and response needs to be clear, relevant, and tailored to the case. Problems often appear once you begin putting the facts into formal language or responding to what the other side has sent.

Here are the issues that tend to cause the most trouble:

• Requests are too broad: Asking for every possible record may create unnecessary disputes. Narrowing the scope makes requesting documents more practical and easier to defend.
• The wording is unclear: A vague request can leave the receiving party trying to figure out what information you want. Precise language gives them a better ability to respond fully.
• Templates do not fit the case: Older wording may miss an important fact or include language that no longer applies. Attorneys sometimes realize this only after reviewing the full draft.
• Objections lack detail: General discovery objections may not explain the actual issue with the request. A stronger response connects each objection to the wording and applicable rule.
• Facts are incomplete: Drafting attempts may stall when client information is missing or inconsistent. Confirming key details early helps create responses that reflect the record.
• Deadlines are overlooked: Discovery timelines can be strict, and late responses may limit available objections or lead to court involvement.

What the Typical Discovery Drafting Process Looks Like

Discovery drafting usually begins with a close look at the case and what information still needs to be developed. The process then moves through a series of practical steps that help shape the requests or responses before they are served.

Here is what that process commonly looks like:

1. Review the Case and Discovery Needs

The process starts with a careful review of the basics, such as pleadings, available evidence, and perhaps the issues still in dispute. Before drafting anything, you need a clear sense of what the case already shows and where the record still feels incomplete.

This review helps you decide which facts need further support and which claims require closer attention. It can also reveal gaps in your client’s account or inconsistencies that should be addressed before the other side raises them.

At this stage, attorneys often create a working outline of the key issues. That outline gives the writing process some direction and keeps the discovery focused on information that could affect the case.

2. Identify the Information to Request

Once the open issues are clear, the next step is deciding what information could help develop them. Each request should connect to a specific point in the case rather than asking for broad categories with no clear purpose.

The information you need may include:

• Communications related to the dispute
• Financial or business records
• Names of relevant witnesses
• Details supporting a claim or defense
• Documents referenced in the pleadings
• Information about alleged damages

This list can serve as the foundation for your document requests and written questions. It also helps you check that every request has a reason behind it. If you cannot explain how the information could affect the case, the request may need to be revised or removed before drafting begins.

3. Choose the Appropriate Discovery Method

Different discovery tools serve different purposes, so the method you choose should match the information you are trying to obtain.

For example, interrogatories work well when you need written explanations or the identity of people with relevant knowledge. Requests for production are better suited to records and electronically stored information.

Requests for admission can help confirm facts that should not remain disputed. A deposition may be more useful when you need detailed testimony or want to follow up on answers given earlier in written discovery.

You may use several methods during the same case, but each one should have a clear role. Choosing the right format early helps you avoid asking the same question in several ways and keeps the overall discovery plan focused.

4. Draft the Requests or Responses

Now the information gathered earlier becomes a working document. For outgoing discovery, the first draft should turn each issue into a clear request that asks for one identifiable category of information.

For discovery responses, the initial draft should address each request separately and include the facts currently available.

Keep the wording direct and avoid packing several ideas into one paragraph. A request that tries to cover too much can create confusion and make objections more likely. The same applies to responses that rely on vague language rather than a clear answer.

Templates can give the writer a useful starting point, but every section still needs to fit the case.

5. Review Objections and Supporting Details

The review stage is where you test the draft for legal and factual weaknesses. Each objection should have a clear basis and connect to the specific request. Boilerplate language may be easy to add, but it can create problems if the other side challenges the response before a judge.

Supporting details also need close attention. Check that factual answers match the available record, and that document references are accurate. If a response promises production, confirm that the identified materials can actually be produced.

This is also the time to fix unclear wording, repeated requests, or answers that leave too much room for interpretation.

6. Finalize and Serve the Documents

Before service, confirm that the document follows the applicable court rules and any case-specific requirements. Check the caption, numbering, signature block, verification language, and certificate of service.

Remember: Legal document formatting may seem minor, but errors can delay service or require a corrected filing.

The final review should also confirm that every request has a corresponding response and that any attachments are included. If the document will be served electronically, make sure the file opens properly and has a clear name.

Once everything is complete, serve the discovery through the approved method and keep a copy in the matter file. Record the service date as well, since it may affect later deadlines and any motion practice that follows.

What Is Discovery Drafting Software?

Discovery drafting software is a program that helps legal teams prepare, review, and organize written discovery. It can support both outgoing requests and responses, which can then give you a faster way to handle repetitive drafting work while keeping each document tied to the case.

The exact features vary, but common benefits include:

• Automated document creation: The software turns matter details, selected requests, and approved language into a structured draft.
• Request and response analysis: Some platforms review discovery language and suggest relevant objections or identify information needed for a complete answer.
• Template management: Firms can store preferred wording and reuse it while adapting the draft to the current dispute.
• Document review support: The program can help connect responsive files to specific requests and organize supporting citations.
• Consistent formatting: Captions, numbering, definitions, and signature sections can be added in the required format.

Attorneys interested in using this software may worry that automation will replace legal judgment. These tools still require careful review, but they can easily reduce the manual work surrounding discovery and give counsel more time to focus on the substance of each response.

A Faster Path to Review-Ready Discovery

Discovery drafting plays a major role in how a case develops. Clear requests can uncover useful information, while well-prepared responses help protect your client’s position and reduce avoidable disputes.

Even so, a large part of the work happens before an attorney reaches the final review. Requests need to be organized, objections must be matched to the right language, and client answers often have to be collected and added manually.

Briefpoint helps move that process along. You can draft interrogatories, requests for admission, and requests for production using objection-aware language built for your jurisdiction.

From there, Client Bridge gives clients a secure way to answer questions in plain English or Spanish. Their responses are then mapped back to the relevant discovery requests, which makes attorney review easier.

For document-heavy RFP responses, Autodoc identifies responsive files, creates page-level Bates citations, and prepares a Word-formatted response. It can also generate a Bates-numbered production package while keeping your team in control of the final document set.

Do you want to see how it all works in practice?

Book a demo today!