Not surprisingly, artificial intelligence is starting to play a larger role in that process. Law360 Pulse’s 2026 AI Survey found that 70% of law firm attorneys use AI at least once a week, with trial preparation among the areas seeing increased use.

Of course, AI is best treated as a support tool rather than a substitute for legal judgment. When you put it to use, it can help you move through large amounts of case information more efficiently and give you more time to focus on strategy and other work that calls for closer attorney involvement.

With that in mind, here are some of the ways you can use AI for trial preparation.

1. Organize and Summarize Case Materials

A large part of trial prep involves getting a firm handle on the record. Depending on the case, attorneys may be working with hundreds or even thousands of pages spread among case files, discovery productions, correspondence, and other legal documents.

AI tools can help litigation teams sort through that material faster and pull out key information that may deserve closer review.

For example, you can use AI to summarize lengthy documents, group materials by topic, identify repeated names or events, and surface relevant documents tied to a particular issue in the case.

Common materials may include:

• Pleadings
• Deposition transcripts
• Witness statements
• Expert reports
• Discovery responses
• Exhibits
• Emails and correspondence
• Medical or business records

Plus, AI can be particularly useful when the record involves large datasets or a long procedural history. You might ask it to create a concise summary of a deposition or identify portions of several legal documents related to the same factual dispute.

2. Build Timelines and Identify Key Facts

A case can look very different once the events are laid out in chronological order. AI can help legal teams pull dates and other key details from the record, then organize them into a timeline that is easier to review during trial prep.

From there, you can start looking for patterns or inconsistencies that may affect your case strategy. AI may also help connect important events with supporting evidence, which can save time when you are dealing with a long factual record.

In a personal injury case, for example, you might use AI to line up treatment dates with accident reports and witness accounts so you can see how the story develops over time. In a business dispute, legal tech could help match contract events with communications or other records tied to the same period.

For attorneys handling a fact-heavy matter, a well-built timeline can be a powerful tool. It gives you a clearer structure for detailed analysis and can help enhance efficiency as you decide which facts deserve the most attention at trial.

3. Prepare Witnesses and Deposition Materials

Witness preparation usually takes several rounds of review, especially when testimony needs to line up with a long record. AI can help you get through some of that groundwork faster by pulling together prior statements, deposition testimony, and documents tied to a particular witness.

You can then use those materials to support more focused deposition prep and strategic planning. For example, AI may help you draft:

• Targeted questions based on prior testimony
• Witness examination outlines
• Cross-examination questions tied to specific inconsistencies
• Topic lists for areas that need clarification
• Summaries of statements that may come up at trial

A witness who gave slightly different accounts at two points in the case, for instance, may deserve closer attention before testimony begins. AI can help surface those differences and point you back to the source material so you can decide how significant they are.

Used with attorney review, the result can be a more organized preparation process and a clearer path toward getting witnesses trial-ready.

4. Develop Trial Themes and Arguments

Once the factual record is organized, AI can help you test how different legal arguments fit together and where your case may be vulnerable.

From there, lawyers can use it to compare possible theories, summarize relevant precedents, or review case law tied to a particular issue before deciding which direction deserves more attention.

For example, you might ask an AI tool to compare two competing legal theories and identify the facts that support each one. Then, you can use that analysis to refine an opening statement or stress-test the reasoning behind a planned closing argument.

AI can support legal research at this stage as well, particularly when you want a faster way to locate potentially relevant authority or understand how courts have approached a similar issue.

Of course, any case law or citations still need to be verified carefully, but the initial research can give you a useful starting point.

For courtroom advocacy, the real benefit is having another way to pressure-test your position. In particular, AI can help you explore how opposing counsel might frame the same facts, which can sharpen your legal reasoning before trial.

5. Prepare Exhibits and Other Trial Documents

Exhibit preparation can take up a surprising amount of time, especially when you are working through a large volume of discovery materials. AI can help with the early document review by sorting files and pulling out details that may be relevant to a particular issue or witness.

Common uses at this stage include preparing or organizing:

• Exhibit lists
• Deposition designations
• Medical record summaries
• Witness examination materials
• Document indexes
• Trial binders and supporting materials

For instance, in a case with extensive medical records, AI can help identify records tied to specific treatment dates or disputed issues. After that, you can narrow down which documents are most useful for your exhibit set.

AI can cut down the time spent searching through files and handling other repetitive parts of case preparation. That leaves you with a more organized set of trial documents and more time to think about how each one supports the case you plan to present.

How Does AI Work in the Trial Preparation Process?

The examples above show what AI can help with during trial prep. Underneath those use cases, most tools rely on technologies such as natural language processing to read documents, recognize patterns, and pull useful information from large case records.

Here is what that can look like in practice:

• Document analysis: AI can review pleadings, transcripts, medical records, and other case materials to identify key facts or recurring issues.
• Summarization: Long records can be condensed into shorter outputs, such as deposition summaries or medical summaries, so you can review the substance faster.
• Information extraction: AI can pull dates, names, events, and other details from documents and organize them into a more usable format.
• Drafting support: Some tools can turn case information into first drafts of outlines, questions, or other preparation materials.

The level of care you need will vary with the task. High-stakes litigation calls for particularly close review, and confidential data should only be handled in systems with appropriate security controls.

Always keep in mind that AI can speed up the groundwork, but its usefulness depends heavily on the quality of the source material and the tool you choose.

Put Discovery on Autopilot With Briefpoint

Nothing can replace the judgment and experience legal professionals bring to trial preparation. AI works best when it handles the underlying legal work that takes time but requires less strategic thinking, which can leave you with more room to focus on the case itself.

Discovery requests are a good example. Because the process is relatively structured, you can leverage AI for document drafting with fewer concerns about constantly questioning the accuracy of every step.

Briefpoint is built specifically for discovery work. It can draft and respond to interrogatories, RFAs, and RFPs, collect client responses through plain English questions, and generate editable Word documents.

Autodoc can identify responsive materials, create Bates-cited responses, and prepare production packages. Discovery Playbooks can apply your preferred objection and response strategy more consistently from one matter to the next.

A powerful AI assistant can be useful throughout trial prep, but Briefpoint gives you a much more focused way to automate discovery work and reduce the hours that go into it.

Ready to spend less time on discovery requests? Schedule your demo today.

What Is AI Privilege Review?

Privilege review is the process of examining discovery materials to determine which documents may be protected from disclosure, usually under attorney-client privilege or the work product doctrine.

In a manual privilege review, attorneys often have to go through large document sets one file at a time, which can take a lot of time when a case involves substantial discovery.

AI privilege review helps narrow that workload. Software can analyze document content, metadata, communication patterns, and prior coding decisions to identify potentially privileged documents for closer review.

For example, say a production contains thousands of emails between employees, outside counsel, and other participants.

An AI tool may flag messages that appear to involve requests for legal advice, then place those documents higher in the review queue. From there, an attorney can read the communication in context and decide how it should be handled.

How Does AI Work in Privilege Review?

Once you understand the basic role AI can play in privilege review, it helps to look a little closer at what may be happening behind the scenes.

Different AI tools use different methods, so the exact process can vary depending on the AI platform and how it was built, but common approaches include:

• Natural language processing: Some systems use natural language processing to analyze wording and context, which can help surface communications that appear to involve legal advice or litigation strategy.
• Metadata and relationship analysis: Certain tools may look at details such as senders, recipients, domains, and document relationships to help identify likely privilege candidates.
• Similarity and classification models: AI may compare documents with files that human reviewers have already coded, then flag similar material for review.
• Generative AI assistance: Some platforms use generative AI to summarize documents, explain why a file may be sensitive, or help reviewers work through large sets more quickly.
• AI prompts: In systems that support prompting, reviewers may use AI prompts to ask targeted questions about a document or communication.

7 Ways to Use AI for Privilege Review

AI can support privilege review in several practical ways, especially when you are working through a large volume of potentially sensitive material.

Here are seven ways you can use it to make the review process more focused and manageable:

1. Identify Communications Involving Attorneys

A useful first step is finding communications that involve lawyers or legal departments. Some AI tools can scan metadata and participant information to surface messages that may warrant closer attention during privilege review.

You might use AI to flag communications involving:

• Outside counsel
• In-house legal departments
• Known attorney email domains
• Employees contacting lawyers directly
• Attachments tied to legal discussions

Those signals can help you narrow a large document set much faster. They can also make it easier to spot conversations that contain privileged information or relate to legal advice.

For example, if an employee emails outside counsel about how to respond to a threatened lawsuit, the communication may be protected by attorney-client privilege. AI can help surface that exchange early so it reaches the right part of the review queue.

When you use it this way, AI supports privilege calls by helping you find communications that are more likely to deserve closer analysis.

2. Detect Language That May Indicate Legal Advice

AI can help pick up on wording that suggests someone is asking for legal guidance or responding to it. Depending on the platform, the system may look for phrases tied to obtaining legal advice, legal exposure, compliance concerns, or proposed next steps on a legal issue.

For instance, an email that says, “Can you advise us on our obligations before we respond?” is more likely to deserve a closer look than a routine update that simply copies a lawyer.

The same applies when an attorney arguably functions in both a business and legal capacity, since privilege analysis often depends on the purpose of the communication.

Language analysis can make it easier to pull potentially privileged content from a much larger document set. It may be especially useful when business leaders, employees who owe fiduciary duties, and legal personnel are all discussing the same issue from different angles.

Since attorney-client privilege protects communications made for legal advice, wording and context can provide useful signals during review.

3. Find Potential Attorney Work Product

Attorney work product generally refers to materials prepared in anticipation of litigation, often by lawyers or at their direction. The category can cover a wide range of legal work, such as internal strategy notes, draft arguments, witness preparation materials, and analyses of claims or defenses.

AI can help locate those documents by looking beyond obvious labels or file names. A system might consider the language in a document, its timing, the people involved, and how closely it connects to a dispute or other legal matters.

Say a law firm has thousands of files tied to a case. Notes created by contract attorneys after reviewing witness statements may be strong work product candidates, even if the documents are not clearly labeled as legal work.

Timing can be especially useful here. Materials created once litigation is underway, or when there is a reasonable expectation of litigation, may deserve more attention than similar documents created during ordinary business activity.

4. Group Related Email Threads and Document Families

Privilege review can become time-consuming when connected files appear in different parts of the document set. AI can help bring related material together so you can follow the surrounding context before making a decision.

Useful groupings may include:

• Email threads: Reconstruct longer conversations so you can see how a legal discussion developed over time.
• Parent documents and attachments: Keep attachments connected to the messages or files they came from, which can make document review easier to follow.
• Near-duplicate files: Surface similar versions of the same document so differences are easier to spot.
• Document families: Group related files together when privileged material may appear in one part of a larger set.

Organizing files this way can reduce the amount of manual work involved in piecing conversations back together. Plus, it gives human review a clearer picture of how each document fits into the broader legal work.

5. Prioritize Documents for Attorney Review

Large document sets can make privilege review feel like a sorting problem before it becomes a legal one. AI can help by ranking documents according to signals that may indicate a higher likelihood of privilege, so attorneys can spend their time on the files most likely to require closer analysis.

Higher-priority documents might include:

• Communications with outside counsel
• Messages sent for the purpose of obtaining legal advice
• Drafts tied to litigation strategy
• Documents similar to known privileged communications
• Files involving sensitive legal issues or specific circumstances
• Communications that include both legal and business discussions

Many practitioners already use some form of prioritization during document review, and AI can make that process more targeted. So, rather than moving through a collection in a fixed order, reviewers can start with the strongest privilege candidates and work outward from there.

That can be especially helpful when privileged communications make up only a small portion of a much larger production. It may also help surface a privilege problem earlier, which can give the legal team more time to investigate borderline documents before anything is produced.

6. Apply Privilege Decisions More Consistently

Once you have a solid set of privilege calls, AI can help you check how consistently those decisions are being applied to the rest of the collection.

Many tools use machine learning or similar classification methods to build privilege models from earlier coding and generate privilege predictions for related documents.

Say you have already marked several emails about the same legal issue as privileged. If a very similar message later appears among non-privileged materials, the system may flag it for another look.

The reverse can happen too, which can help you catch overinclusive coding before it creates extra work.

Consistency becomes even more important when several people review documents and make judgment calls at different points in the process. AI can help you compare those decisions and spot outliers that may deserve a second pass.

Courts have noted the importance of reasonable discovery procedures, and in some cases a court identified privilege issues on its own initiative. A more consistent review process can give you another layer of quality control before production.

7. Help Prepare Privilege Logs

Privilege logs can take a surprising amount of time to prepare, especially when the underlying information has to be pulled from hundreds or thousands of documents.

AI can help with the administrative side of that process by extracting details from documents and organizing them into a format that is easier to review.

Depending on the system, it may help pull information such as the date, sender, recipients, document type, and a short description of the subject matter. It can also help connect those details to earlier privilege coding or work completed under counsel’s direction.

For example, if your review set includes a large number of withheld emails, AI may generate draft log entries using the available metadata and document content. You can then refine the descriptions before the log is finalized.

Compared with a fully manual review, this can reduce a lot of repetitive data entry. It can be particularly useful when client data is spread throughout a large production, and you need a consistent way to organize the information that supports each privilege claim.

What Are the Benefits of Using AI for Privilege Review?

AI can make privilege review a lot easier to manage, especially when you are dealing with a large production, and only a small share of the documents are likely to be privileged. The main advantage is that it helps you get to the important material faster.

Some of the biggest benefits include:

• Faster review: AI can surface likely privileged documents early, which can cut down the time spent working through a fully manual review.
• Better prioritization: Communications tied to providing legal advice or litigation strategy can move higher in the queue.
• More consistent decisions: Similar documents can be compared with earlier privilege calls, making unusual or conflicting coding easier to catch.
• Stronger work product review: AI may help identify material that falls under work product protection, which protects materials prepared in anticipation of litigation.
• Less repetitive work: Tasks like pulling metadata or drafting privilege log entries can take less time.
• More room for legal judgment: Attorneys can focus on harder questions, including borderline privilege issues or legal research tied to a particular dispute.

For you, the practical benefit is a review process that feels less like sorting through everything manually and more like working from a better-organized starting point.

What Are the Risks of AI Privilege Review?

AI can speed up privilege review, but the risks are significant enough that you need clear controls around how the technology is used.

Privileged material is highly sensitive, and even a strong system can miss context or handle data in ways that create problems later.

Key risks include:

• Inaccurate privilege predictions
• Overreliance on automated classifications
• Sensitive client data being sent to a third-party platform
• Data being retained for model training or other training purposes
• Unclear access controls or storage practices
• Inconsistent treatment of mixed legal and business communications
• Disclosure risks involving regulators or government authorities
• Loss of context in long email threads or document families
• Weak audit trails for privilege decisions

Security and confidentiality deserve particular attention here. Before using an AI tool, you should at least understand how it stores data, who can access it, and what happens to submitted documents after processing.

Privilege also rests heavily on the trusting human relationship between lawyer and client. Technology can support the review process, but careless handling of protected communications can create consequences that are difficult to reverse.

Pair AI Privilege Review With a Faster Discovery Workflow

AI can make privilege review easier to manage when discovery involves a large volume of documents. 

It can help you surface likely privileged communications, identify potential work product, organize related files, prioritize review, and prepare privilege logs with less manual effort.

The bigger advantage comes from using AI as part of a broader discovery workflow. Once privilege issues are sorted out, the next challenge is getting responses drafted, client information collected, and production materials ready to serve.

Briefpoint can help with that part of the process.

The platform automates written discovery, collects client files and responses, finds documents responsive to RFPs, and generates Bates-cited production packages. It also supports discovery workflows in all 50 states and 98 federal district courts.

If you want to spend less time on repetitive discovery work after privilege review, book a Briefpoint demo and see how much of the remaining process you can automate.

What Are Legal AI Workflows?

Legal AI workflows are structured processes that use artificial intelligence to support specific parts of legal work. The term can cover a wide range of uses, from document drafting and review to discovery, research, intake, or case preparation.

Because the category is so broad, it helps to focus on the structure behind it. Most legal AI workflows follow the same basic idea: information goes into a system, AI performs a defined task, and the output moves to the next stage of the legal process.

For example, a firm might collect information from a client, use AI to turn it into a draft discovery response, and send that draft to an attorney for review. Another workflow might analyze a set of documents and surface information relevant to a particular issue.

The exact steps vary, but the goal is usually similar. Legal workflow automation helps legal teams reduce manual work and move routine tasks forward more efficiently while giving legal professionals control over the final work product.

7 Legal AI Workflow Examples You Can Use at Your Firm Today

You may already have several parts of your day-to-day legal work that are good candidates for AI, even if you have not formally mapped them as workflows yet. We’ve compiled some examples below to show seven practical ways you can start using legal AI in your firm today:

1. Draft Written Discovery Responses

Drafting written discovery responses is exactly the kind of repetitive task where AI can make an immediate difference.

Instead of building every response manually, legal teams can use AI-powered tools to generate a first draft based on the requests, matter information, the firm’s preferred objection language, and other key factors.

A typical workflow might look like:

• Upload or import the discovery requests
• Identify the jurisdiction and matter details
• Apply approved objections and response language
• Generate draft responses
• Review and revise the document in Word

Document automation can cut down the mechanical work involved in document generation while giving legal teams a more consistent starting point. Legal departments and firms can then spend more time reviewing substance and making decisions that require legal judgment.

Briefpoint is an example of an AI-powered tool built specifically for this workflow. It can draft responses to interrogatories, RFAs, and RFPs with objections included, using jurisdiction-specific formatting, and attorneys can review the resulting drafts in Word.

Spend less time drafting discovery responses. See how Briefpoint can help.

2. Summarize Case Files and Key Documents

Legal AI tools can make large files much easier to work through by identifying important facts and turning dense material into a more usable summary.

That capability can be useful in workflows like litigation, due diligence, legal research, document review, and contract review, where lawyers often need to understand a large amount of information before deciding what deserves closer attention.

For example, a litigation team could use AI-powered automation to review a lengthy case file and produce a summary of the main facts, key documents, and relevant issues.

The output can then serve as a starting point for legal review rather than requiring someone to manually reconstruct the story from hundreds of pages.

Moreover, these workflows can help convert information into more structured data, which makes it easier to compare documents or identify recurring issues. Reducing that administrative burden gives lawyers more room to focus on higher-value work that depends on context and legal judgment.

3. Review Contracts and Flag Risky Clauses

Contract review is another workflow where AI can help when legal and compliance teams are dealing with a steady stream of agreements.

Some AI capabilities can support contract analysis by comparing language against predefined rules, approved positions, or playbook standards and highlighting clauses that may need closer review.

For example, an in-house legal team reviewing a new vendor agreement could use AI to compare the contract against its preferred indemnity and termination terms. Clauses that fall outside those standards could be flagged before the lawyer starts a full review.

A contract review workflow might include:

• Clause identification: AI locates provisions such as indemnity, liability, renewal, or termination language.
• Playbook comparison: Contract terms are checked against predefined rules or approved fallback positions.
• Risk flagging: Unusual or potentially unfavorable language is surfaced for attorney review.
• Review prioritization: High-risk provisions can be addressed first, which can be useful for high-volume contract review.

For in-house legal teams using contract lifecycle management software, this type of workflow can make contract review more consistent while reducing the amount of time spent locating issues manually.

4. Draft Routine Legal Documents From Templates

Aside from discovery documents, routine drafting becomes much easier to streamline when a firm already has approved templates in place.

AI can take the information tied to a matter or legal request and use it to populate the right document, cutting down on administrative effort while keeping the firm’s preferred language consistent.

Common examples include:

• Engagement letters
• Demand letters
• Notices
• Standard motions
• Internal legal forms

A workflow might begin with an intake form or matter record, then send the relevant details into a template and produce a draft for review. Once it is approved, the document can be saved in the existing document management system.

Legal operations can use this approach to speed up recurring work and make document creation more consistent. It can also reduce the time spent copying details between systems or rebuilding familiar documents from scratch.

5. Conduct Legal Research and Build Case Summaries

Legal research can take a lot of time when you are working through a broad question or trying to make sense of a long case history.

Legal AI tools can help narrow the field by using natural language processing to understand what you are asking and surface material that is likely to be relevant.

Of course, the benefit is not just speed. A good research workflow can help you pull together key facts, identify useful authorities, and connect new research with institutional knowledge your firm already has, among many other things.

Say you are researching whether a contractual limitation is enforceable under a particular state’s law. You could ask the system a plain-language question, review the cases it surfaces, and use those results to build a case summary that explains the reasoning most relevant to your issue.

From there, you can verify the authorities and dig into the underlying opinions.

6. Automate Client Intake and Matter Information Collection

Client intake is a strong candidate for legal automation because the same information often needs to be collected at the start of every new matter. Law firms can use AI to review submissions, organize client data, and guide each request into the right intake and triage path.

A workflow might handle:

• Intake forms and questionnaires
• Conflict-check details
• Initial matter classification
• Supporting document requests
• Follow-up questions based on missing information

AI can make the process more responsive by adapting questions to what the client has already provided. 

A personal injury intake, for example, could trigger follow-up questions about the incident date, treatment records, or insurance information, while a business dispute could collect contract details and key communications.

Cleaner intake data can reduce administrative work later in the legal practice and give attorneys a more complete picture before the first substantive review. Additionally, it can make early client relationships feel more organized because fewer details have to be chased down after the matter is opened.

7. Review Bills and Track Legal Spend

In legal billing software, AI can make legal spend management easier by reviewing invoices at scale and highlighting patterns that would be difficult to catch manually.

In-house teams can use it to compare billing activity against guidelines, surface unusual charges, and get a clearer view of where outside counsel budgets are going.

A typical workflow might include:

• Invoice review: AI checks line items against billing guidelines and flags entries that may need closer review.
• Spend categorization: Charges can be grouped by matter, firm, practice area, or other reporting categories.
• Budget tracking: Current spend can be compared with matter budgets to spot overruns earlier.
• Trend analysis: Historical billing data can reveal recurring cost patterns or shifts in outside counsel usage.

A legal department handling dozens of active matters, for instance, could use AI to identify repeated billing issues across several firms and see which matters are consuming more budget than expected. That gives the department better information for forecasting and future billing discussions.

How to Choose Which Legal AI Workflows to Automate First

You absolutely do not need to automate every part of your legal process at once. A better starting point is to look for work that is repetitive, time-consuming, and structured enough that AI can handle part of it reliably.

A few factors can help you prioritize:

• Volume: Start with tasks that happen often. Automating legal workflows has a bigger payoff when the same process repeats across many matters.
• Time spent: Look for work that absorbs attorney or staff hours but does not always require deep legal judgment.
• Consistency: Processes with clear inputs and predictable outputs are usually easier to automate than highly variable work.
• Integration: Check how well a new tool fits with your existing systems. Workflow automation is much more useful when information can move between tools cleanly.
• Review requirements: Consider how much manual review will still be needed and whether the time savings remain meaningful after that step.
• Resource impact: Prioritize workflows that help you allocate resources more effectively, especially where experienced legal staff is spending too much time on administrative work.

A good tip is to start with one or two high-friction workflows, which makes it easier to measure the impact before expanding automation elsewhere.

What to Look for in Legal AI Workflow Software

The right tools should fit into the way your firm already works and solve a clear problem rather than add another layer of complexity.

As you compare options, focus on how well each platform supports your existing workflows and how much control it gives your team over the process. Consider the following:

Easy Integration With Existing Systems

Legal AI software should work well with the systems you already rely on, including document storage, matter management, email, and billing platforms. Poor integration can create duplicate work and make automation harder to maintain.

Look for software that can pull information from existing systems and return completed work to the right place. Keep in mind that smooth integration becomes particularly important when a workflow touches several stages of a matter or depends on information stored in different tools.

Clear Human Review Controls

Human oversight should be built into the workflow from the beginning. Lawyers need a clear point where they can review AI-generated work and approve the final output.

Good software should make it obvious what the AI produced and what information it relied on. Review controls are particularly important when a workflow involves things like substantive legal analysis, client communications, or documents that will be filed or sent externally.

Flexible Workflow Rules

Your firm may have specific requirements around approvals, assignments, escalation, or document handling. Software with configurable business rules lets you shape automation around those requirements instead of forcing every matter into the same process.

Useful options can include assigning work based on matter type, routing legal intake to the appropriate person, or triggering a review when certain conditions are met. Flexible rules make it easier to adapt the system as your processes change.

Strong Security and Access Controls

Any platform handling legal information needs safeguards that match the sensitivity of the work. For starters, you should review how the provider protects client confidentiality, manages permissions, and controls access to stored information.

Role-based permissions are useful when different users should have access to different matters or documents. You should also understand how data is stored, whether it is used to train models, and what security standards the provider follows.

Tracking and Visibility

Automation works better when you can see where work stands. Features such as deadline tracking, compliance tracking, and status reporting can help prevent tasks from getting buried as matters move forward.

A complete audit trail can be useful as well, particularly when you need to see who reviewed a document, when an approval happened, or how a workflow changed over time. Better visibility can also improve workload distribution by showing where work is building up.

Enough Flexibility to Grow

The software you choose today should still be useful as your firm adds matters or expands automation into new areas. A platform that handles one narrow workflow well may be a good starting point, but it helps to understand what else it can support.

For example, you can look at how easily you can add new workflow steps, users, or practice areas. Growth should not require rebuilding every process from scratch.

Build a Faster Discovery Workflow With Briefpoint

Discovery has plenty of repeatable work, and Briefpoint is built to take much of that work off your plate. The platform can draft responses to interrogatories, RFAs, and RFPs, while Client Bridge helps collect client answers and supporting information.

Autodoc takes the workflow further when productions are involved. You can upload the complaint, RFPs, and case files, and Autodoc identifies responsive documents for each request.

It then generates Word responses with page-level Bates citations and prepares a Bates-numbered production package for service.

Briefpoint also supports all 50 states and 98 federal district courts, which can be useful when your practice spans multiple jurisdictions.

With its comprehensive features, Briefpoint easily covers a large portion of the discovery workflow that would otherwise require hours of repetitive preparation.

Book a demo today and explore how much of your discovery process you can automate.

How Legal Document Automation Works

Legal document automation takes information you already have and uses it to build a document with much less manual work.

For you, that can mean less copying between systems and a faster path from raw information to a review-ready draft, among many other benefits.

A few different technologies can power the process:

• Document templates: Approved templates provide the structure and standard language, while the software fills in variable details such as names, dates, or case information.
• Conditional logic: Rules control which sections appear based on the information entered. A document can adapt to the facts rather than forcing you to edit a generic version every time.
• Data connections: Information can flow in from sources such as intake forms or case management software, which reduces duplicate entry.
• AI and natural language processing: More advanced systems can read source material, identify useful details, and support document generation or revision based on context.

In practice, legal document creation often starts with information already tied to a client or matter. The software turns that information into a draft, and you review the substance before the document moves forward.

What Legal Documents Can You Automate?

Legal document automation helps with work that follows a repeatable structure or pulls from information your team already collects. If you find yourself reusing the same language or entering familiar case details, there is a good chance part of the process can be automated.

Common examples include:

• Discovery requests and responses
• Engagement letters
• Demand letters
• Legal notices
• Standard motions
• Intake documents
• Contracts and agreements
• Consent forms
• Internal legal forms
• Settlement documents
• Court forms
• Client correspondence

The right candidates depend on your practice and how standardized your current process is. Documents built from templates are often a natural place to start, especially when much of the work involves replacing known information or selecting from approved language.

7 Legal Document Automation Examples

Legal document automation can take several forms depending on the work you want to streamline. As you look at your own process, the following examples show how automation can fit into different stages of document work and where it can save you the most effort:

1. Generate Discovery Documents From Case Information

Discovery can take a large amount of time when legal teams have to pull case details together, apply the right discovery objections, and handle document drafting request by request.

Workflow automation can move much of that preparation into software while keeping attorneys in control of the final response.

For example, a law firm responding to RFPs could upload the complaint, discovery requests, and relevant case files. The software can then use those materials to prepare responses rather than requiring someone to draft each one manually.

A discovery automation workflow may handle tasks such as:

• Drafting responses: Software can generate interrogatories, RFAs, or RFP responses using case information and approved objection language.
• Finding responsive documents: More advanced tools can search uploaded case files and connect responsive material to individual requests.
• Preparing the final work product: Drafts can be formatted for Microsoft Word so attorneys can review and revise them using a familiar workflow.

Briefpoint is built specifically for this process. It can draft written discovery, find responsive documents for RFPs, and generate Bates-cited Word responses with production packages, which helps law firms spend less time drafting documents and related administrative tasks.

Book a Briefpoint demo to see the workflow in action.

2. Turn Client Intake Data Into Legal Documents

Client intake creates a useful pool of information that can feed directly into document creation. Process automation lets you reuse that data input instead of asking staff to copy the same details into forms later.

A typical workflow can pull information from sources such as:

• Online intake forms
• CRM systems
• Matter management software
• Client questionnaires
• Internal databases

For example, a new client might complete an intake form with contact information, case details, and other required facts. The system can use those responses to prepare an engagement letter or another standard document, then send it to the appropriate person for review.

Automating repetitive tasks like this can reduce manual data entry and make the intake process feel smoother for both staff and clients. More than that, it can support better client service because fewer administrative steps stand between collecting information and putting it to use.

3. Create First Drafts From Approved Templates

Template-based automation is one of the most established ways to speed up the drafting process. Automated templates start with language your legal practice has already approved, then use structured data to generate documents with the right details in place.

The technology often relies on fields, conditional logic, and rules tied to the information entered.

For example, a firm preparing estate planning documents could collect client information through client intake forms, then use those answers to populate names, family details, asset information, and relevant provisions in the appropriate template.

More advanced systems can pull from legacy documents too. They can help firms turn existing work product into reusable templates rather than rebuilding documents from scratch.

The result is a first draft that reflects the firm’s preferred structure and language while leaving room for an attorney to make substantive changes based on the client’s situation.

For recurring document types, this approach can make it much easier to generate documents consistently and spend less time on routine setup.

4. Assemble Documents From Reusable Clause Libraries

Clause libraries are organized collections of approved legal language that lawyers can reuse during drafting. They often contain wording for common situations, such as preferred clauses or fallback positions.

A document automation platform can connect those libraries to document assembly rules. Once you enter the relevant deal information, the system can pull in language that fits the situation based on predefined conditions.

For example, an in-house legal department might maintain different indemnity clauses for different levels of risk. During contract management, the software could select the appropriate version based on the agreement type and place it into the draft for review.

Generally, using a clause library can make drafting more consistent and reduce the need to search through legacy agreements for language that has already been approved. 

It can be particularly useful when several people contribute to document creation because everyone works from the same source of approved wording.

5. Automate Document Review and Issue Spotting

Automation can support review after a draft is created to help legal professionals catch issues before a document moves forward.

Depending on the software, review features may compare language against approved standards, flag missing information, or surface terms that deserve a closer look.

Common capabilities include:

• Clause comparison: The software can compare draft language against approved wording and flag meaningful differences.
• Missing information checks: Review tools can identify blank fields, incomplete sections, or required provisions that may have been left out.
• Risk flagging: AI-powered systems can highlight language that falls outside a playbook or creates potential legal concerns.
• Consistency checks: Automation can review formatting and defined terms to reduce avoidable human error.

For example, documents generated from a template can still contain unexpected edits or incomplete fields. Automated review gives you another layer of checking before an attorney signs off.

However, the best legal document automation software should support careful review instead of promising completely error-free documents. Attorney judgment still determines whether the final language is appropriate for the situation.

6. Route Documents Through Review, Approval, and Signature

Document automation can keep work moving after a draft is ready. Many automation solutions let you set routing rules based on the type of document or the approval requirements tied to it.

A vendor agreement, for instance, might go to the appropriate legal reviewer first. After approval, the workflow can send it for electronic signatures and then save the finished document in the designated system.

Common workflow steps include:

• Internal legal review
• Business approval
• Wet or electronic signatures
• Final storage

Automated routing can reduce the amount of manual follow-up involved in legal operations and law firm operations. It can also lead to faster document turnaround times because each stage moves forward based on predefined rules rather than relying on someone to send the file manually.

In-house legal teams can use the same setup to keep approvals organized while maintaining a clear record of where each document sits in the process.

7. Generate Final Document Packages With Supporting Files

Legal automation software can help you finish the job after the main document has been reviewed. Supporting materials can be pulled together in the required order and prepared for filing or delivery with much less manual setup.

For instance, a discovery response may need exhibits or other case materials attached before it is complete. Automation can collect those files, convert them into PDF documents when needed, and organize the package according to predefined rules.

You can then send the completed package to a document management system or move it into the existing systems your firm already uses.

Automating the final assembly stage can save you from spending extra time checking file names or rebuilding the same package structure from one matter to the next.

What Should Stay Under Human Review?

It should be obvious that legal automation does not remove the need for human review. In fact, the higher the risk or complexity, the more important that review becomes.

Keep human review focused on areas such as:

• Substantive legal analysis: Software can surface information, but legal professionals still need to decide how the law applies to the facts.
• High-risk language: Complex legal documents often contain provisions that could create significant exposure. Because of that, those terms deserve a closer review before approval.
• Compliance issues: Automated checks can help flag possible concerns, but someone still needs to assess the actual legal and regulatory implications.
• Negotiated changes: In fields like corporate law and contract lifecycle management, edits made during negotiation may change the risk profile or commercial meaning of an agreement.
• Final approval: Before a document is signed or filed, a lawyer should confirm that it reflects the intended position.

How to Choose Legal Document Automation Software

The right software depends on the documents you create and how much of the surrounding workflow you want to automate. A closer look at your current process can help you narrow the options before you start comparing features.

Here are a few areas worth paying attention to as you evaluate your options:

Look at the Types of Documents You Create Most Often

Start with the documents that take up a noticeable amount of your team’s time. Law firm document automation may focus heavily on recurring legal work such as discovery responses or client correspondence, while another legal department may need automation for agreements.

Useful candidates might include:

• Discovery documents
• Engagement letters
• Demand letters
• Contracts
• Internal legal forms

Consider how much each document changes from one matter to the next. A mostly standardized document may work well with automated templates, while highly variable drafting may benefit from AI-assisted tools.

Consider the Broader Software You Already Use

Document automation can be one feature within larger practice management platforms or contract lifecycle management software. Before adding another tool, check what your current systems can already do and how well those capabilities fit your workflow.

A CLM system might generate a contract from an approved template and then help you manage contracts through the entire contract lifecycle. Practice management software, meanwhile, could use information already stored in a case record to prepare a standard client document.

Looking at the broader workflow can help you choose software that fits into your existing setup rather than creating another isolated step.

Check How Easy the Software Is to Use

A confusing user interface can quickly reduce the practical benefit of automation. Lawyers and staff should be able to understand how to generate a document and move the work forward without constantly relying on technical support.

Pay attention to setup too. Some platforms require outside help to create new templates, while others let your staff configure document rules themselves.

Features worth testing during a demo include:

• Template creation
• Document editing
• Search
• Workflow setup
• User permissions

Ease of use can make a meaningful difference in adoption and, ultimately, legal service delivery.

Review Editing and Version Control Features

Generating a draft is only part of the process. Your software should make it easy to review changes and maintain version control as the document moves between people.

Consider how editing fits into the tools your lawyers already prefer. If most drafting happens in Microsoft Word, for instance, a platform that exports clean Word files or integrates directly with Word may fit much better than one that requires all editing inside a separate interface.

You should be able to tell which version is current and review previous changes when necessary. Those basics become increasingly important when several people contribute to the same document.

Evaluate Integrations and Data Flow

Good automation should reduce repeated data entry. Look at where your document information comes from now and where completed files need to end up.

An intake system, for example, might collect client details and pass them directly into a document template. After review, the finished file could move into your document management system automatically.

Check how easily the platform connects with the existing systems your staff relies on. Smooth data flow can save a surprising amount of administrative effort over time.

Think About the Client Experience

Internal efficiency is only part of the equation. Document automation can influence client satisfaction when it shortens turnaround times or makes routine interactions easier.

Look at the process from the client’s perspective. Intake forms should be straightforward, and any document requests should be easy to complete. Signature workflows should feel equally simple.

A faster drafting process can be useful, but the bigger improvement comes when the overall experience feels easier for both your staff and the people receiving your legal services.

Move Legal Document Work Forward With Briefpoint’s Automation

Legal document automation can take a surprising amount of routine work out of document creation.

Depending on the software you choose, you can automate tasks such as drafting from case information, collecting client responses, assembling approved language, and moving completed documents through the rest of your workflow.

Briefpoint brings many of those capabilities into one discovery-focused platform. It can draft and propound interrogatories, RFAs, and RFPs in the appropriate jurisdictional format, while giving attorneys Word-ready drafts to review.

Client Bridge sends clients a secure link where they can answer questions and upload files, and RFP Responses & Production can identify responsive documents, prepare Bates-cited responses, and generate production packages.

Discovery Playbooks help apply the firm’s objection and response strategy consistently from case to case.

Legal innovation becomes much more practical when it improves work your firm already performs every day. Cutting discovery busywork can give attorneys more room for legal strategy while helping the firm build a meaningful competitive advantage around speed and consistency.

Book a Briefpoint demo today.

Step 1: Identify the Discovery Work You Want to Automate

Start with the parts of the discovery process that take the most time or create repeated administrative work. A clear view of your current workflow will help you narrow down legal discovery software based on what your firm actually needs.

First, review how your team handles work such as:

• Drafting discovery requests: Preparing interrogatories, requests for admission, and requests for production from case information.
• Responding to discovery: Creating initial answers and objections for attorney review.
• Collecting client input: Gathering answers and supporting files through a secure process.
• Finding relevant documents: Matching client files to individual production requests.
• Preparing productions: Applying Bates numbers and organizing documents for service.

From there, look at where delays tend to occur. For instance, you may find that legal professionals spend too much time moving information between files, following up with clients, or reviewing documents manually.

It also helps to speak with the people who complete each task. Their feedback can show you which parts of the workflow need the most support and which features your law firm is likely to use regularly.

Step 2: Decide Which Features Matter Most

After you define the work you want to automate, focus on the features that will have the clearest impact on your process. The right set will depend on the volume of digital data you handle and how much of the discovery workflow you want the software to support.

Key features to review include:

• Search capabilities: Look for tools that can quickly locate relevant material within electronically stored information.
• Data processing: Check how the platform collects, organizes, and prepares files for review.
• Document review tools: Review features that help your team sort, tag, and assess large document sets.
• Early case assessment: See how the software helps you understand the scope, cost, and potential risks of a matter before full review begins.
• Predictive coding: Consider this feature if your firm regularly handles high-volume cases and wants technology-assisted review.
• Cloud access: Cloud-based eDiscovery software can make it easier to manage cases without relying on local systems.
• Export and production tools: Confirm that the platform can prepare digital data in the formats your firm and opposing counsel require.

Next, compare these features with your current workload. A focused legal discovery platform may be a better fit than eDiscovery software built for much larger matters.

Step 3: Check Which Documents and Jurisdictions the Software Supports

Next, confirm that the legal discovery tool can handle the document types your firm works with most often. Support may include written discovery, digital records, email, and other forms of electronic evidence.

The platform should also fit the way your team collects data and moves it into the system through data ingestion.

Jurisdictional coverage deserves the same attention. Discovery rules, objection language, formatting, and deadlines can vary by state and court.

For example, a firm handling civil matters in California may need software that reflects California discovery rules, while a federal case may require different language and document structures.

Today’s eDiscovery software often supports a broad range of electronic data, but broad coverage does not always mean the platform is a good fit for your specific practice.

Review the supported jurisdictions carefully, then check how often the provider updates its rules and templates. This will give you a clearer sense of how reliable the software will be as your caseload grows.

Step 4: Evaluate Ease of Use

An eDiscovery software platform may offer advanced capabilities, but your team still needs to use them without constant troubleshooting. Look closely at how intuitive the interface feels and how quickly legal professionals can move through the legal process.

Pay attention to areas such as:

• Clear menus and case workspaces
• Simple document uploads
• Fast search and filtering
• Straightforward review tools
• Helpful prompts and guidance
• Accessible training and support

For example, if an attorney needs several clicks to locate a client response or review a production set, the software may slow the work down rather than support it. A cleaner workflow can make it easier to handle electronic discovery with fewer interruptions.

Plus, it helps to test the platform with a realistic matter during the demo. Ask someone who regularly uses eDiscovery tools to complete a common task and note where they hesitate. That practical test will tell you far more than a feature list.

Step 5: Consider Your Firm’s Case Volume

Case volume can shape which platform makes sense long before you compare advanced features.

Generally, a legal team that handles a steady flow of written discovery needs dependable drafting and response tools. Firms working with large document sets, meanwhile, may place greater weight on processing capacity and review speed.

Start with the number of active matters your firm handles, then consider how much electronic discovery each one usually creates.

For example, a platform that performs well with a few hundred files may struggle once a case includes several terabytes of data. Pricing can also change as volume rises, especially when providers charge for storage, processing, or hosted information.

Ideally, the right eDiscovery software should fit your current workload while leaving room for larger or more complex matters. It should also support the legal data lifecycle without forcing your team to move information between separate systems throughout the electronic discovery process.

Step 6: Review Security and Compliance Standards

Security deserves close attention because legal discovery software may hold digital evidence, client information, and potentially privileged documents.

Before you commit, review how the provider protects data stored on the platform and how its policies support regulatory compliance.

Key areas to check include:

• Encryption: Confirm that files are encrypted during transfer and while stored.
• Access controls: Look for role-based permissions, multi-factor authentication, and clear user management.
• Audit logs: Check that the platform records user activity and document changes.
• Data location: Ask where information is hosted and which laws govern that storage.
• Certifications: Review standards such as SOC 2 and other relevant compliance frameworks.
• Incident response: Find out how the provider handles security events and communicates with customers.

A cloud-native eDiscovery platform should offer enterprise-grade security within a secure environment. Still, feature claims alone are not enough. Ask for documentation, review the provider’s security controls, and confirm how long data remains in the system.

These checks can help your firm reduce exposure while mitigating risks throughout the discovery process.

Step 7: Compare Pricing and Total Cost

Pricing can vary widely among eDiscovery software companies, so the advertised rate may only tell part of the story. Generally, costs depend on factors like user count, data volume, storage limits, and the level of support included in the plan.

Look beyond the monthly or annual subscription and ask for a full breakdown of possible charges. Things like processing fees, implementation costs, training, and long-term data hosting can raise the total considerably. Such expenses may feel manageable at first, but they can grow as your caseload increases.

Free trials can help you test the software before making a commitment. Use that time to run a realistic matter, review the billing structure, and see which features are included at each tier.

Finally, compare the total cost with the amount of manual work the platform could reduce. The lowest-priced option may still cost more if your team needs extra tools or frequent support to complete routine discovery work.

Step 8: Assess Attorney Control and Review Options

Legal discovery software should give attorneys a clear role throughout the review process. Automation can reduce routine work, but the final decisions still need careful legal judgment, especially when documents may be privileged or strategically important.

Look for controls such as:

• Editable drafts: Attorneys should be able to revise proposed responses, discovery objections, and document classifications before anything is finalized.
• Collaborative review: The platform should let team members comment, assign work, and track changes within the same matter.
• Privilege controls: Reviewers need a reliable way to flag potentially protected material and limit access.
• Approval workflows: The software should support defined review stages before documents move forward.
• Audit history: A clear record of edits and approvals can make the eDiscovery process easier to manage.
• Manual review options: Attorneys should be able to step in whenever a document requires closer analysis.

The review platform should support legal professionals without making the workflow feel rigid. Test how well it handles common document review tasks and confirm that your team can adjust the process as a matter develops.

Step 9: Prepare Questions for the Software Demo

A demo gives you a chance to see how the platform works with a realistic matter. Before the meeting, gather questions from the people who will use the software and focus on the parts of the workflow that need the most support.

Useful questions include:

• How does the platform handle data collection?
• Can it produce electronic documents in the formats we use?
• Which security features are included?
• What training resources are available?
• How long does implementation usually take?
• Can it connect with our other productivity tools?
• What support do service providers offer after launch?
• How does pricing change as data volume grows?
• Can attorneys edit and approve work before final production?
• How often is the software updated?
• What happens to our data after a matter closes?
• Can we test the platform with a sample case?

Pro tip: During the demo, ask the presenter to show each answer inside the software. A live walkthrough will give you a clearer view than a general feature overview.

Step 10: Compare the Best Legal Discovery Tools

At this stage, compare a few leading platforms against the needs you identified earlier. Each product has a different focus, so review the actual workflow rather than choosing based on reputation alone.

Briefpoint is designed for written discovery. It helps law firms draft and respond to interrogatories, RFAs, and RFPs, while features such as Bridge and Autodoc support client collection and document production.

Relativity and Everlaw are broader eDiscovery solutions suited to data-heavy matters with advanced review needs. Logikcull offers a cloud-based approach that may appeal to firms seeking a simpler setup, while DISCO combines document review with AI-supported search and case analysis.

As you compare them, return to your highest-priority tasks. A tool built for large-scale review may offer more functionality than you need if written discovery takes most of your time. Likewise, a drafting platform may not cover the full scope of a complex data review.

Whatever the case may be, the strongest choice should fit the work your team handles regularly and connect naturally with your current process.

Step 11: Make Your Final Decision

After comparing your options, return to the needs you identified at the start. The strongest choice should address your most time-consuming work, fit your case volume, and give attorneys enough control throughout the process.

It can help to score each platform against a short set of criteria, such as ease of use, security, pricing, and the quality of its review features.

From there, consider which eDiscovery tools help your team reach relevant information faster without adding unnecessary steps to the workflow.

You should also look at the provider itself. Review the quality of its support, implementation process, and product updates. A capable platform can still become difficult to use if help is limited after purchase.

At the end of the day, the right choice is the one your team can use confidently in real cases. Include the people who will work in the software regularly, listen to their feedback, and choose the platform that fits your current process while leaving room for future growth.

Choose Legal Discovery Software That Fits Your Practice

Choosing legal discovery software comes down to how well it fits the work your firm already handles. A useful platform should reduce the hours spent on repetitive discovery work while still giving attorneys room to review the final output.

Briefpoint automates written discovery, collects client files and responses, and generates Bates-cited production packages in minutes.

More than 1,500 law firms use it to save over 30 hours per case. Client Bridge supports secure client communication, while Autodoc helps identify the most relevant documents and prepare production-ready materials.

You can review and revise the work in Word before anything moves forward, which keeps your team in control during legal proceedings.

Book a demo to see how Briefpoint could fit your firm’s discovery process.

What Is Discovery AI?

Discovery is the legal process of exchanging information and evidence between parties before trial. It can include written requests, document production, client responses, and other work that helps each side understand the facts of the case.

Discovery AI refers to the use of artificial intelligence to support parts of that process. Depending on the software, AI can help prepare discovery documents, review incoming requests, organize client-provided information, or assist with finding responsive material.

Some discovery AI solutions use specialized AI models trained or configured for legal work. That distinction is important. General-purpose AI may generate useful text, but legal discovery has specific rules, formats, and procedural requirements that can vary by jurisdiction.

For you, the practical benefit is less time spent on repetitive discovery work and more time available for substantive legal review. AI can handle much of the initial drafting and processing, while the attorney still reviews the work before anything is finalized or served.

How Does AI Work in the Discovery Process?

AI can support discovery at several points during litigation, especially where the work involves large amounts of information or repetitive drafting.

Most tools combine automation with AI models that can do things like interpret requests, generate draft language, and help sort relevant case material.

Common uses include:

• Drafting discovery documents: Generative AI can prepare first drafts of interrogatories, requests for admission, and requests for production based on case details and attorney input.
• Reviewing incoming requests: AI-powered tools can analyze discovery requests, flag potential issues, and help prepare draft responses or objections for attorney review.
• Document review: AI can assist with finding potentially responsive files, improving speed and efficiency when the document set is large.
• Client information collection: Some solutions help organize client answers and supporting files so the information is easier to review and use in a response.
• Case organization: AI agents can support tasks related to research, document handling, and discovery tracking while keeping the attorney involved in final decisions.

What Types of Discovery Can AI Help With?

AI can support several common forms of written discovery. The exact capabilities depend on the software, but many tools can assist with work such as:

• Interrogatories: AI can help draft questions, review incoming interrogatories, and prepare initial responses based on case information.
• Requests for admission: These tools can help organize each request and generate draft admissions, denials, or qualified responses for attorney review.
• Requests for production: AI can analyze document requests, help identify potentially responsive records, and support the preparation of written responses.
• Document production: Some platforms can organize responsive files, apply Bates numbers, and connect produced records to the relevant discovery requests.
• Supplemental discovery: AI can also help review prior responses and identify areas that may need updates as new information becomes available.

The strongest use cases tend to involve repetitive work that still requires legal judgment before anything is served.

What Are the Benefits of Using AI for Discovery?

AI can make discovery work easier to manage when your team is under pressure to move quickly without giving up control over quality.

The biggest benefits tend to show up in a few practical areas, like:

Faster Turnaround

AI can process discovery requests and case information far faster than a fully manual workflow. Steps like drafting, document review, and information sorting can all move forward sooner, which helps when deadlines are tight or demand starts to climb.

Again, your team still reviews the work, but less time goes toward repetitive setup and first-pass tasks. That can make the overall discovery process feel much more manageable during busy periods.

Better Consistency and Accuracy

Well-configured discovery technology can apply the same response logic and review standards throughout a matter. Consistency becomes extra useful when several reviewers are working on related requests or large sets of records.

AI can also help flag missing information, conflicting details, or areas that need closer attention. Attorney review remains important, but a more consistent starting point can support better accuracy and quality.

Lower Discovery Costs

Manual discovery work can consume a significant amount of attorney and staff time. AI can reduce some of that workload, which may lead to cost savings for law firms and in-house teams handling frequent or high-volume matters.

Employees can spend less time on routine processing and devote more attention to work that needs legal analysis. Firms may also be able to handle higher demand without adding the same level of staffing.

Stronger Control Over Information

Discovery often involves large data flows, sensitive records, and other information that may raise privilege concerns. AI can help organize those materials and make relevant information easier to review without forcing your team to work through every file in the same way.

Good governance remains important. Your team should still control access, review how data stays protected, and decide how AI-generated work is used before anything leaves the firm.

More Time for Legal Judgment

Repetitive discovery work can take up hours that could be spent on deeper case analysis. AI can handle parts of the initial processing while attorneys keep control over final decisions and the finished work product.

Extra time can support better diligence and give your team more space to develop a stronger understanding of the case. Key insights may also become easier to spot when less attention is tied up in routine document handling.

How Briefpoint Uses AI Throughout the Discovery Lifecycle

Briefpoint applies AI to written discovery from the first draft through client collection and production. Its tools cover several stages of the workflow, so you can keep more of the work inside one platform.

With Briefpoint, you can:

Draft and Propound Discovery

Briefpoint can draft interrogatories, requests for admission, and requests for production based on the complaint and case information you upload. It supports all 50 states and 98 federal district courts, with output formatted for the relevant jurisdiction.

For example, if you represent a plaintiff in a negligence case, Briefpoint can analyze the allegations in the complaint and generate targeted discovery requests tied to those issues.

The platform can generate more than 70 targeted requests from allegations, while its objection-aware drafting is designed to avoid common problems in propounded discovery.

You can then review the draft and revise it in Word before serving it. That keeps the attorney in control while reducing the amount of time needed to build the initial set from scratch.

Prepare Discovery Responses

Incoming discovery can be uploaded directly into Briefpoint, which drafts responses to interrogatories, RFAs, and RFPs with objections included. The platform works within the jurisdictional format of the matter and produces drafts that attorneys can review and revise in Word.

Briefpoint can also apply your preferred objection and response strategy through Discovery Playbooks. The feature is designed to carry firm policies into future matters and identify contradictions before responses are served.

Useful parts of the response workflow include:

• Draft answers and objections for attorney review
• Apply established discovery response preferences
• Keep response strategy more consistent between matters
• Generate Word-ready output for final editing

Collect Client Answers With Client Bridge

Client Bridge handles the part of discovery that usually requires repeated emails, attachments, and follow-ups. Briefpoint converts legal discovery questions into plain-English prompts and sends clients a secure link they can open from any device without installing an app.

Clients can answer questions and upload requested documents through the same link. English and Spanish are supported, and the collected information can flow back into the discovery draft for attorney review.

A dense interrogatory asking a client to identify people with knowledge of an incident, for instance, can appear to the client as a much simpler question, such as asking who knows what happened. Briefpoint keeps the legal drafting on the attorney side while making the client-facing part easier to complete.

Find Responsive Documents With Autodoc

Autodoc focuses on RFP responses and document production. You upload the complaint, requests for production, and the relevant case or production files. Briefpoint then searches the uploaded folders and identifies documents responsive to each request.

The workflow is built around responsiveness rather than requiring a preliminary relevance review. Briefpoint reports processing speeds of roughly 3 to 10 seconds per request after the files have been processed.

Autodoc can then:

• Match responsive documents to individual RFPs
• Draft the written response
• Add page-level Bates citations
• Apply Bates numbering to the production
• Package the files for service

You can verify where the system searched before relying on the output, which gives the attorney a chance to check that the underlying documents match.

Prepare Bates-Cited Production Packages

After responsive documents have been identified, Briefpoint can generate the written RFP response and the corresponding production together. The Word response includes objections, substantive answers, and citations to the relevant Bates pages.

Briefpoint also applies Bates numbers to every page in the production package. Firms can customize the Bates prefix and starting number to follow their own naming conventions.

The final output can include:

• Word-formatted RFP responses
• Page-level Bates citations tied to responsive files
• Bates-numbered documents
• A production package prepared for service

Briefpoint cites a case study in which a mid-sized California litigation firm reduced a typical 40-RFP workflow from 30 to 40 hours to minutes using Autodoc.

Manage Supplemental Discovery

Discovery may continue to change after the first response set goes out. Briefpoint supports supplemental responses for interrogatories, RFAs, and RFPs, which lets you add new information without overwriting the original response.

Prior responses remain available for reference, while updated client information collected through Client Bridge can feed back into the workflow for attorney review.

Having the earlier and supplemental versions connected can make ongoing discovery easier to follow. You can see what was previously served, add new information as the case develops, and prepare a separate supplemental document without rebuilding the response set manually.

Take a More Practical Approach to Discovery AI

As you can see from the workflow above, Briefpoint can support a large part of the discovery process in one place.

It can help draft requests and responses, collect client information through Client Bridge, identify responsive documents with Autodoc, and prepare Bates-cited production packages for review.

That gives users a practical way to reduce repetitive discovery work while maintaining attorney control over the final output. For firms committed to handling discovery more efficiently without sacrificing quality, Briefpoint can make a noticeable difference in day-to-day work.

See how Briefpoint can support your discovery workflow. Book a demo today.

What Is an AI Legal Assistant?

An AI legal assistant is software that helps you handle routine legal work with less human input and manual effort. Basically, it responds to written instructions and uses the information you provide to complete a specific task.

In some cases, the tool may focus on one area, such as discovery drafting. Other platforms support a wider part of your legal workflow and can help with document review or first drafts.

For you, that can mean less time spent starting from a blank page. It may also make repetitive work easier to manage when a matter involves a large volume of information.

At the same time, not every AI assistant is built for legal use. Specialized legal AI is designed around common legal documents and the way law firms already work, which can make it a better fit than a general writing tool.

As these platforms continue to develop, an AI assistant is becoming a practical option for firms that want to move routine legal work along more efficiently.

How Do AI Legal Assistants Work?

AI legal assistants use language models and other forms of machine learning to interpret your instructions. You enter a request in everyday language, and the software analyzes the words, context, and any documents you provide before generating a response.

The process usually involves a few core technologies:

• Natural language processing: This allows the tool to understand legal questions and identify what you are asking it to do.
• Large language models: These models recognize patterns in written material and generate new text based on your prompt and source files.
• Document analysis: Some platforms can search case materials, extract relevant details, and connect information found in different files.
• Workflow automation: Specialized tools apply the technology to routine tasks, such as preparing discovery drafts or reviewing contracts.

The results depend heavily on the information available to the platform. A general AI assistant may rely mostly on your prompt, while legal software can use uploaded matter files or structured templates.

Despite labels such as “AI lawyer,” these tools function as software systems rather than independent legal professionals. Their capabilities also vary, so one platform may answer general legal issues while another is built for a specific workflow.

Practical Uses for an AI Legal Assistant

An AI legal assistant can support many parts of your day-to-day work, though its uses are not limited to the examples below.

Here are some of the most practical ways legal teams are putting these tools to work:

Finding Relevant Legal Authority

Legal research can take hours when you are working through a broad issue or dealing with unfamiliar case law. An AI legal assistant can help narrow the field by searching available data and pointing you toward potentially useful citations.

For example, you could ask the tool to find cases discussing a specific discovery dispute in your jurisdiction. From there, it may return a short list of authorities and explain how each one connects to your question.

Still, the quality of the result depends on the platform and the resources it can access. In general, tools connected to reliable legal databases are better suited for this work than general-purpose assistants, since legal knowledge needs to come from current and verifiable sources.

Preparing First Drafts

An AI legal assistant can give you a workable first version based on your instructions and the source material you provide.

Depending on the type of document, that support may include:

• Letters: Draft routine correspondence using the facts, purpose, and tone you specify.
• Clauses: Suggest language for a particular provision or revise existing wording to fit the situation.
• Summaries: Turn a long document into a shorter overview that highlights the information you need.
• Wills: Help organize initial language from client details and a selected template.

You can also refine the draft through follow-up prompts. For example, you might ask for clearer wording or a version that matches your firm’s usual style. This makes the tool useful for getting the structure in place before the document moves further through your workflow.

Reviewing Contracts

Contract review can slow things down when you need to compare dense language against your legal needs. An AI legal assistant can help you move the process forward by flagging unusual terms and drawing attention to sections that may need a closer look.

For instance, you might upload a vendor agreement and ask the tool to identify clauses that differ from your preferred language. It could point out a broad indemnity provision or a renewal term that deserves more attention.

One advantage is speed. Rather than reading every page with the same level of focus from the start, you can use the tool to highlight likely pressure points and give the review a clearer direction.

The usefulness of that output will still depend on how well the platform understands the contract and the context you provide.

Handling Discovery Work

Once discovery begins, the volume of requests and documents can grow quickly. A specialized AI legal assistant can take on parts of that workload and help keep the process organized.

Its capabilities may include:

• Drafting requests: Prepare interrogatories or requests for production from the case details you provide.
• Preparing responses: Create initial answers and objections for review.
• Reviewing documents: Match potentially responsive files to individual requests.
• Organizing production: Prepare covered materials with Bates numbers and supporting response language.

Some platforms also collect client input through a secure link, then place those answers into the correct requests. That ability can reduce manual copying and make the overall workflow easier to track.

The level of support will depend on the software. General legal services tools may offer basic drafting, while discovery-focused platforms are built around the specific demands of litigation practice.

Keeping Case Information Organized

One useful role for an AI legal assistant is giving your team a clearer view of the information already in a matter. It can make case files easier to search and help connect details that sit in separate documents.

For example, you could ask for references to a specific witness, a summary of recent filings, or insights tied to a particular issue. That gives you a faster way to locate context before you decide what to review more closely.

Some platforms can also track new material as it is added, which helps everyone stay up to date without relying on scattered notes. The result is a more accessible case record that supports faster handoffs and fewer repeated searches.

Supporting Client Communication

AI can help with the routine messages that take up more time than they should. That may be a quick update before an appointment or a chat response to a basic question.

Common uses include:

• Drafting client updates
• Preparing appointment reminders
• Writing follow-up messages
• Answering simple chat questions
• Sending instant status updates
• Organizing intake responses

For your team, this can make it easier to keep communication moving without writing every message from scratch. Clients also get clearer updates and fewer long gaps between replies, which can build confidence in the way their matter is being handled.

Of course, certain conversations will still need a personal response, particularly when the topic is sensitive, or the client needs detailed guidance. Routine communication, though, is often a good fit for AI support.

What to Look for Before Choosing a Tool

The right AI legal assistant should fit the work your team already handles and give you clear answers about how it uses your information. Before choosing a plan, look closely at the features that will affect everyday use.

Key factors include:

• Legal fit: Check that the platform is trained for the work you handle rather than offering general web-based assistance.
• Confidentiality: Find out how client information is stored and if files are encrypted during transfer and at rest.
• Data use: Confirm if your prompts or documents are used to train the system.
• User controls: Look for permissions that let you decide which users can access each matter.
• Pricing: Compare the total cost of the plan, including usage limits and charges for additional seats.
• Workflow compatibility: Test how easily the app fits into your current process and what manual work will remain.
• Support: Ask what happens when the tool cannot complete a task or the output does not pass review.

Put AI to Work Where It Counts

An AI legal assistant is most useful when it supports a clear part of your workflow. General tools may help with research or first drafts, while specialized software can take on work that follows a more defined legal process.

Briefpoint is built specifically for written discovery.

Autodoc reviews case files for responsive documents, then prepares Bates-cited Word responses and a Bates-numbered production package.

Meanwhile, Client Bridge collects client answers and files through a secure link, while Supplemental Responses lets your team update prior discovery responses without rebuilding the document.

The platform also supports interrogatories, requests for admission, and requests for production in every U.S. state and federal district court.

Book a demo to see how Briefpoint can reduce the manual work surrounding discovery.

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 Legal Software?

Legal software is a broad category of tools built to support the work lawyers and their staff handle every day.

For instance, one platform might manage cases and deadlines, while another focuses on a specific task such as drafting discovery responses or reviewing contracts.

The useful question is not simply what the software does. You need to know where it fits into your existing process. Law firms may use one system as the main hub for client files and billing, then connect it with specialized legal software solutions for research, document preparation, or payments.

Moreover, legal teams often build their technology around the work that takes the most time or creates the most friction. A litigation practice may prioritize discovery automation, for example, while a growing firm may need stronger intake and practice management tools.

Each product in the next section serves a different purpose, so you can compare the options based on the workflow you want to improve.

11 Best Legal Software Examples and Their Use Cases

Different tools serve different parts of legal work. Here are 11 best legal software examples organized by use case:

1. Briefpoint for Discovery Automation

Briefpoint is discovery automation software built for litigation teams that want to spend less time drafting and organizing written discovery.

You can use it to prepare interrogatories, requests for admission, and requests for production, then review the drafts before they leave your firm.

The platform goes further than basic document creation. Briefpoint can help you collect client responses through Client Bridge, identify files that may answer an RFP, and produce Bates-numbered documents with page-level citations.

Meanwhile, Autodoc handles much of the repetitive work involved in reviewing requests and drafting responses, which gives you a stronger starting point than a blank Word file.

If more than half of your discovery process still depends on copying language and formatting draft documents manually, Briefpoint can take a large portion of that work off your plate.

It is a focused legal tech product rather than general document automation software, and that’s why it’s a practical fit for firms that handle discovery regularly.

Best Features

• Discovery request drafting: Create objection-aware interrogatories, RFAs, and RFPs from the complaint and case details.
• Autodoc: Find responsive documents and draft RFP responses with Bates citations.
• Client Bridge: Collect answers and files through a secure, mobile-friendly link in English or Spanish.
• Production preparation: Generate Bates-numbered PDFs and Word responses with page-level citations.
• Jurisdictional support: Draft documents for all 50 states and 98 federal district courts.

Pros

• Focuses specifically on discovery rather than general document creation
• Reduces repetitive drafting and document review work
• Produces editable Word files for attorney review
• Combines document automation software with client collection and production tools
• Supports both propounding and responding to discovery

Book your demo today.

2. Clio for Practice Management

Clio is cloud-based legal practice management software that gives you one place to handle the operational side of running a firm.

Key elements like matters, client details, documents, time entries, and bills stay connected, making it easier to find the information you need without moving between several disconnected systems.

Source: G2

You can use Clio Manage as the main practice management system for day-to-day operations. A matter page brings together related notes, calendar events, communications, and financial activity, so legal professionals can quickly see what has happened and what needs attention.

Its cloud-based document storage also lets your team open and organize case files from a computer or mobile device.

Clio works well for firms that want broader law practice management support rather than software built around one legal task. It can serve as the central system while connecting with other tools used for specialized work.

Best Features

• Matter management: Keep case details, contacts, tasks, notes, and communications connected to the correct matter.
• Time and expense tracking: Record billable work and costs as they occur.
• Billing and online payments: Prepare invoices and give clients digital payment options.
• Document management: Store, search, edit, and organize files in the cloud.
• Calendar and task tools: Track deadlines, appointments, and staff assignments.
• Client portal: Share files and communicate with clients through a secure online space.

Pros

• Brings core firm operations into one platform
• Accessible from desktop and mobile devices
• Connects with a large selection of outside applications
• Suitable for firms with multiple practice areas
• Offers strong case organization and reporting tools

3. Lawmatics for Client Intake and CRM

Lawmatics is legal intake software and a CRM built to help firms manage prospective clients from the first inquiry through signed engagement.

Essentially, it gives your team a clearer view of each lead, including where they came from, which forms they completed, and what communication has already taken place.

Source: G2

The platform is useful when client management still depends heavily on inboxes or manual reminders.

You can create custom intake forms, schedule consultations, send follow-ups, and collect electronic signatures from one legal software system. Calendar connections help your team stay up to date on appointments without relying on a separate legal calendaring process.

Lawmatics focuses on the relationship-building side of the firm rather than active case management. If administrative tasks are slowing down intake or leads are waiting too long for a response, its automation tools can help you create a smoother experience while keeping client relationships organized.

Best Features

• Custom intake forms: Collect information based on practice area or matter type.
• Workflow automation: Trigger emails, tasks, and reminders as leads move through intake.
• Appointment scheduling: Let prospective clients choose from available consultation times.
• CRM timeline: Review communications, forms, and activity in one place.
• E-signatures: Send engagement documents for digital signing.
• Lead reporting: Track referral sources and conversion performance.

Pros

• Designed specifically for legal intake and client relationships
• Cuts down on repetitive follow-up work
• Gives firms a clearer view of the intake pipeline
• Connects with practice management and calendar tools
• Supports a more consistent experience for prospective clients

4. MyCase for Client Communication

MyCase is a legal practice management platform with client communication tools built directly into the case workflow.

Through its secure client portal, your firm can exchange messages, share documents, send invoices, and keep clients informed all in one place.

Source: G2

Clients can log in from a phone or computer to review case information, upload files, check upcoming events, and pay their bills. Your team sees the same activity within MyCase, which keeps each conversation tied to the right matter.

For legal software, law firms often need both convenience and control, and the portal gives you a more organized place to handle sensitive client information.

The platform can work for solo practices as well as midsize law firms that want communication, billing, and case management in one system. Plus, its security features, such as encryption and access tracking, can support client confidentiality while giving clients an easier way to reach your firm.

Best Features

• Secure client portal: Share messages, documents, invoices, and case details in one location.
• Built-in text messaging: Contact clients without using a personal phone number.
• Document sharing: Send and receive case files through the portal.
• Online payments: Let clients review invoices and submit payments digitally.
• Case updates: Share appointments, events, and other relevant information.
• Mobile access: Give clients access to their portal from internet-connected devices.

Pros

• Keeps client communication linked to the correct case
• Gives clients convenient access to files and updates
• Reduces reliance on email and voicemail
• Combines communication with billing and case management
• Offers security controls for confidential information

5. QuickBooks Online for Legal Accounting

QuickBooks Online is cloud-based accounting software that helps firms manage the financial side of the business. It allows you to track income and expenses, create invoices, record payments, and review reports without maintaining separate spreadsheets for every account.

Source: G2

For firms that bill by the hour, its time tracking and invoicing tools can connect recorded work with client bills. You can also use financial reports to review cash flow and get a clearer picture of the firm’s financial performance.

QuickBooks works well as general business accounting software, while integrations with legal billing software can add features tailored to law firms.

Trust accounting requires more care. QuickBooks can be configured to record trust-related transactions, but it is not a dedicated legal accounting software platform on its own. Firms that need detailed trust accounting controls may pair it with a legal-specific integration or choose a system built for those requirements.

Best Features

• Income and expense tracking: Organize transactions and connect bank or credit card accounts.
• Legal billing: Create invoices, apply recorded time, and monitor payment status.
• Financial reporting: Review profit and loss, balance sheet, and cash flow reports.
• Online payments: Give clients digital options for paying invoices.
• Time tracking: Record billable hours and add them to client invoices.
• App integrations: Connect QuickBooks with legal billing and practice management tools.

Pros

• Familiar accounting platform used in many small businesses
• Strong reporting for monitoring firm finances
• Flexible invoicing and payment tools
• Connects with several legal software platforms
• Accessible from a browser or mobile device

6. Lexis+ AI for Legal Research

Lexis+ AI is an AI-powered legal research platform from LexisNexis. It combines conversational search with the company’s legal database to give you a faster way to explore cases, statutes, and other authorities.

Source: LexisNexis.com

You can ask a question in plain language, review the cited sources, and refine the issue through follow-up prompts. Shepard’s Citation Validation helps you check how a case has been treated, while document analysis can surface relevant arguments or authorities from uploaded files.

If you already use LexisNexis, the platform brings familiar research tools and generative AI into the same workspace. It may be one of the best software options for teams that want quicker research without losing direct access to the underlying legal sources.

Best Features

• Conversational research: Explore legal questions through natural-language prompts.
• Shepard’s tools: Review citation history and treatment.
• Linked authorities: Open the sources behind generated answers.
• Document analysis: Examine uploaded files for legal issues and citations.
• Case summaries: Get a condensed overview before reading the full opinion.
• Drafting support: Use research results to prepare an early draft.

Pros

• Connects AI answers to established legal sources
• Supports both traditional and conversational legal research
• Helps narrow broad legal questions
• Includes citation validation
• Useful for reviewing lengthy authorities

7. Docusign for Electronic Signatures

Docusign is an electronic signature platform that lets law firms send documents for signature and track each step online. Rather than printing an engagement letter or settlement agreement, you can upload the file, place the required fields, and send it directly to the signer.

Source: G2

The platform supports common formats such as Word documents and PDFs, and signers can complete them from a computer or mobile device. 

Automatic reminders help move outstanding documents along, while reusable templates save time when your firm sends the same type of agreement regularly.

Docusign also records activity connected to the signing process, giving your team a clearer record of who opened and completed the document.

For firms still handling signatures through email attachments, Docusign offers a simpler process for routine legal documents. You can keep signed copies organized, reduce printing, and avoid asking clients to scan paperwork back to you.

Best Features

• Electronic signatures: Send documents for online signing from nearly any device.
• Reusable templates: Prepare frequently used agreements without rebuilding every envelope.
• Automatic reminders: Prompt recipients when a signature is still outstanding.
• Signing fields: Add signature, date, initials, and other required fields.
• Status tracking: See when a document has been sent, viewed, or completed.
• Audit trail: Maintain a record of activity connected to the agreement.

Pros

• Familiar signing experience for many clients
• Works with common document formats
• Speeds up routine signature collection
• Reduces printing and scanning
• Integrates with widely used business and legal platforms

8. iManage for Document Management

iManage is legal document management software designed to organize documents, emails, and other case-related content in one searchable system.

With this platform, your team can organize documents and emails in dedicated workspaces for each client or matter, rather than sorting everything through a shared drive.

Source: iManage.com

Its document management functionality covers far more than storage. iManage tracks version history, controls who can open or edit a file, and makes it easier to search through large collections of legal content.

That can be useful when a matter contains high volumes of material, such as contracts or medical records, and several people need access to the latest version.

Security is a major part of the platform. iManage supports granular permissions and applies data encryption to uploaded content, which helps firms protect confidential files while still allowing attorneys and staff to collaborate.

It’s generally a better fit for organizations with substantial document volumes and stricter governance needs than for firms seeking lightweight legal document software.

Best Features

• Matter workspaces: Organize documents and emails around the correct client or case.
• Version control: Preserve earlier drafts and identify the current file.
• Advanced search: Locate documents through metadata and full-text search.
• Access permissions: Limit viewing or editing rights at the document level.
• Email management: Save matter-related messages alongside the supporting files.
• Security controls: Protect sensitive data through encryption and need-to-know access.

Pros

• Handles large collections of legal documents
• Keeps document history easy to follow
• Offers detailed access and governance controls
• Supports collaboration without relying on shared drives
• Built for firms with complex document management needs

9. Everlaw for eDiscovery

Everlaw is a cloud-based eDiscovery platform for reviewing large collections of documents during litigation and investigations. It gives your team tools for uploading data, narrowing the review set, coding documents, and preparing productions within the same software program.

When practicing law involves thousands or even millions of emails and files, a basic search bar will only take you so far. Everlaw uses advanced search, visual analytics, and AI-assisted review to help you identify relevant evidence sooner.

Source: G2

Reviewers can categorize documents for issues such as relevance or privilege, then collaborate through shared assignments and case-building tools.

Everlaw also connects document review with deposition and trial preparation through Storybuilder. Your team can organize key evidence, create timelines, and carry useful findings forward as the case develops.

Best Features

• Early case assessment: Examine data before promoting documents into active review.
• Advanced search: Filter large data sets through metadata and document content.
• AI-assisted coding: Classify documents based on relevance, privilege, or case issues.
• Review workflows: Assign batches and customize coding layouts for different reviewers.
• Production tools: Apply Bates numbers, endorsement stamps, and production settings.
• Storybuilder: Turn reviewed evidence into timelines and deposition materials.

Pros

• Supports the eDiscovery process from data upload through production
• Handles large document collections
• Connects review findings with case preparation
• Offers flexible collaboration tools
• Includes AI features for faster document analysis

10. Spellbook for Contract Drafting and Review

Spellbook is an AI tool that helps lawyers draft and review contracts directly inside Microsoft Word. Since it works where many agreements are already written, you can analyze a document and revise the language without uploading it to a separate contract platform.

Source: Spellbook.com

During review, Spellbook can point out missing clauses, one-sided terms, and language that may deserve a closer look.

You can ask it to suggest a revision, explain a provision, or draft a replacement clause based on the surrounding contract. Custom playbooks let firms apply their own preferred positions rather than relying on the same review standard for every agreement.

It can also help when you are starting from an old template that needs substantial changes. Spellbook generates language within the document, while tracked changes make it easier to review each proposed edit.

Best Features

• In-document drafting: Generate clauses and revisions inside Microsoft Word.
• Contract review: Identify missing terms and potentially unfavorable language.
• Custom playbooks: Apply preferred fallback positions and review rules.
• Tracked redlines: Add proposed edits without replacing the original text.
• Clause explanations: Break down complex provisions in clearer language.
• Language comparison: Compare contract terms against selected standards.

Pros

• Fits into an existing Word-based workflow
• Useful when revising older contract templates
• Gives firms control over review preferences
• Makes proposed changes easy to inspect
• Supports drafting and review in the same tool

11. LawPay for Legal Payments

LawPay is a payment platform built for law firms that need to collect client funds while keeping legal billing rules in mind. It lets clients pay invoices or retainers online, and firms can direct money to the correct operating or trust account.

That legal focus is what separates LawPay from a standard card processor. The platform is designed to prevent processing fees from being deducted from trust funds, which can make payment handling easier for firms with strict accounting obligations.

Source: G2

Clients can pay through a secure link, from an invoice, or through a firm’s website, giving them a more convenient option than mailing a check.

LawPay can fit into existing legal processes through integrations with practice management and accounting platforms. 

If you’re comparing legal software options, it is worth considering when faster collections and trust-friendly payment handling are higher priorities than broader billing or case management features.

Best Features

• Online payments: Accept credit card and eCheck payments through secure links.
• Trust account support: Route funds to the appropriate trust or operating account.
• Payment pages: Add a branded payment option to the firm’s website.
• Recurring billing: Schedule repeat payments for approved arrangements.
• Invoice connections: Collect payments through supported legal billing platforms.
• Reporting tools: Review transactions, deposits, and payment activity.

Pros

• Built around the payment needs of law firms
• Supports trust and operating account separation
• Gives clients several ways to pay
• Connects with popular legal software platforms
• Can help firms collect outstanding balances sooner

Choose Technology That Earns Its Place

Legal technology should remove work from your plate instead of just creating another system to maintain. The right legal software fits naturally into your workflow and solves a problem your team deals with regularly.

Briefpoint brings that focus to written discovery. It drafts interrogatories, RFAs, and RFPs, while Client Bridge collects answers and documents through a secure link. Autodoc identifies responsive files, adds Bates citations, and prepares production materials for attorney review.

Book a demo to see how Briefpoint can simplify discovery from the first draft through production.

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.

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