Table of Contents

Key Takeaways

  • Match legal-document AI to the task: research platforms cite-check, Word tools review contracts, general assistants draft non-client material, DMS-built AI answers from firm files.

  • Most legal AI tools add legal grounding, such as legal sources, templates or your firm’s own documents, to general-purpose language models.

  • Before client documents go in, ask each vendor where documents go, whether it trains on them, whether answers cite sources and whether matter permissions hold.

  • ABA Formal Opinion 512 (July 29, 2024) says lawyers using generative AI must weigh duties including competence, confidentiality, client communication and reasonable fees.

  • Whichever AI tool your firm uses, an attorney still reviews every output, line by line, before it reaches a client or a court.

AI can already read a contract, flag a risky clause, and compare two versions faster than any associate on your team. What it can’t do is tell you which tool was built for legal work and which one bolted a chat window onto an existing product.

The pitches keep coming, and your staff may already be pasting drafts into ChatGPT.

Used well, AI for legal documents shifts more of the workday toward legal judgment and less toward the first pass. Used carelessly, it puts client documents into consumer tools whose data terms your firm hasn’t checked.

Below, each document task gets its own answer: the kind of tool built for it, what your attorneys still check, and what to ask a vendor before anyone uploads a client file.

Table of Contents

What Is AI for Legal Documents?

AI for legal documents is software that uses large language models to draft, review, compare, summarize and answer questions about legal documents. Most legal AI tools run on general-purpose models with legal grounding layered on top: legal sources, templates or your firm’s own documents.

That grounding decides what a tool is good at. A research platform such as Lexis+ with Protégé or CoCounsel answers from legal sources, and a tool connected to your document management system (DMS) answers from your firm’s own files.

How AI Reads a Legal Document

A language model reads the text of a document and writes a response from it, which is how it drafts, summarizes or answers a question about what’s on the page. A tool that also searches your firm’s own files can bring the relevant documents into that answer, so it responds from your firm’s record instead of from general knowledge.

Three legal AI tool types built on one general language model, each drawing on research content, templates or firm documents
Three legal AI tool types built on one general language model, each drawing on research content, templates or firm documents

When AI on a firm’s documents disappoints, the usual reason is that the tool was never connected to where those documents live, such as SharePoint or a shared S: drive. The more of your firm’s own record a tool can reach, the more useful its answers get.

Watch · 9 min

What Your AI Tool Needs Before It Can Find Your Documents

Why an AI tool comes back empty on a document it can't read or reach, and the fixes that make your firm's files findable.

From the LexWorkplace YouTube channel Watch on YouTube →

What Can AI Do with Legal Documents?

AI can draft legal documents, review contracts, compare versions, summarize long filings, answer questions across a matter and support cite-checking, and each of those tasks has a kind of tool built for it and a step your attorneys still own.

Six legal document tasks, from drafting to cite-checking, each paired with the kind of AI tool built for it
Six legal document tasks, from drafting to cite-checking, each paired with the kind of AI tool built for it

AI for Drafting Legal Documents

AI writes first drafts of contracts, letters and non-routine documents, and the tools built for legal drafting are Harvey, Lexis+ with Protégé and, for contract work inside Microsoft Word, Gavel Exec.

Legal-specific drafting tools are the ones to evaluate for client work. General assistants such as ChatGPT (OpenAI), Claude (Anthropic) and Gemini (Google) fit early drafts of non-client material:

  • A one-off policy memo

  • A plain-English explainer

  • A letter with no client facts in it

The first hour of most drafts goes to scaffolding: the structure, the standard sections and the basic language every version of the document needs. That’s the part to hand to AI.

The output is a first draft, never the only draft where the stakes are high. Your attorney reviews it the way a manager reviews an employee’s work, line by line, before it goes to a client or a court.

Template-based drafting is a separate category: when your firm produces the same engagement letter or NDA from a form every time, legal document automation software does that job with rules and templates.

What the attorney still checks: every clause the draft relies on.

AI for Contract Review

AI contract review tools such as Gavel Exec (inside Word), CoCounsel and Harvey flag unusual clauses, missing provisions and inconsistent terms for an attorney to judge.

Gavel Exec runs inside Microsoft Word, so the review happens in the document your lawyer is already redlining. CoCounsel and Harvey run contract analysis as part of broader legal AI platforms, built for Westlaw firms and for large firms and legal departments.

The tool spots a clause that departs from the norm. Deciding whether your client should accept it stays with the attorney.

What the attorney still checks: whether each flagged term matters to this client and this deal.

AI for Comparing Document Versions

AI-assisted comparison shows what changed between two versions of a document, including small wording edits that shift meaning, and the attorney decides whether each change is acceptable.

Comparison matters most in negotiation, when the other side sends back a draft and you need to know exactly what moved. Teams that run a high volume of redlines use dedicated document comparison software built for that work.

What the attorney still checks: every change before it’s accepted.

AI for Summarizing Transcripts and Long Filings

AI condenses depositions, transcripts, long filings and discovery sets into summaries, and anything your firm relies on gets checked against the source because a summary leaves things out.

Long-document summaries are one of the two uses firms find first, alongside first drafts. Legal AI assistants such as CoCounsel handle deposition prep on client matters, while general assistants such as Claude suit long documents only when nothing in them is confidential.

Review at e-discovery scale is a different job, and specialist review platforms handle it.

What the attorney still checks: anything the firm relies on, against the source document.

AI for Asking Questions Across a Matter

AI built into your document management system answers questions across a matter’s documents, email and notes, and cites the files each answer came from.

Firms we talk to describe the same problem: finding specific documents is hard, and searching their current system takes too long. Asking a question goes a step past keyword document search, because you ask about what’s inside the documents instead of matching words in them.

This is the task we built LexWorkplace AI for. In LexWorkplace, Matter AI answers questions across one matter’s documents, email and notes, with a Sources panel showing the files it drew from. Firm-wide LexWorkplace AI asks across every matter and Firm Documents at once, answers with citations, and only sees what the user can access.

You can ask when a named party first knew a product was defective, or what happened in a case a document cites, and get an answer that points to the documents behind it without opening each file.

The answer comes from what your firm has already filed to its matters, which is why this task belongs inside the DMS instead of in a separate AI tool.

Bring Law and Order to Your Documents

LexWorkplace Includes:

  • Document Profiling / Metadata

  • Structured by Client/Matter

  • Organize With Folders and Tags

  • Built-In Version Management

  • Add Notes to Docs & Email

  • Document AI

  • Outlook Email Filing

  • Automatic, Integrated OCR (Advanced Plan)

What the attorney still checks: the cited documents, before anyone relies on the answer.

AI for Cite-Checking

Cite-checking is a job for legal research platforms such as Lexis+ with Protégé and CoCounsel.

Checking a citation means checking it against legal research content, such as Westlaw behind CoCounsel and Shepard’s in Lexis+ with Protégé, and those platforms are built on it. LexWorkplace doesn’t do cite-checking or legal research. Its AI works on your firm’s own documents, email and notes.

What the attorney still checks: the cited authority itself, before it goes into a filing.

AI Tools for Legal Documents Compared

The right AI tool for legal documents depends on the task you need done, so the table below compares nine legal-specific and general-purpose tools on what each is built for, its best task, pricing, free trial and where your data goes.

Legal-specific tools come first and general-purpose assistants second. Prices and trial terms change, so confirm them with each vendor before you buy.

AI Tools for Legal Documents Compared

Tool Built for Best task Pricing model Free trial Where your data goes
Legal-specific
CoCounsel (Thomson Reuters) Westlaw firms Research, contract analysis, deposition prep Plans priced online by firm size; firms with more than 10 attorneys contact sales Yes, on request Thomson Reuters says it never uses your data to train the underlying models
Harvey Large firms and legal departments Drafting, due diligence, research Enterprise pricing on request; no published price list No self-serve trial Contractually never used to train models; your firm sets retention and can delete data anytime
LexWorkplace Firms that want AI on their own documents and email inside the DMS Asking questions across matters, document summaries Monthly plan from $395/mo with 3 users included; Document AI, Matter AI and LexWorkplace AI on every plan Yes, 7 days AI runs only when someone in the firm asks it a question, through the OpenAI API (not consumer ChatGPT). Firm content is never used to train AI models. OpenAI keeps request data for up to 30 days, for abuse monitoring only.
Lexis+ with Protégé (LexisNexis) LexisNexis subscribers Citation-backed research, drafting, cite-checking Quote-based; pricing varies by organization Yes LexisNexis says it never uses customer data to train AI models
Clio’s built-in AI (Clio) Clio Manage firms Matter summaries, client communications Plans start at $49 per user per month across four plans (Starter, Core, Signature and Elite); AI included on plans from Core up Yes Never used to train public AI models; AI processes files under zero data retention agreements
Gavel Exec Transactional lawyers in Microsoft Word Contract review and redlining $160 per user per month Yes Not used to train AI models; zero data retention agreements with its model providers, including OpenAI
General-purpose
ChatGPT (OpenAI) General use Early drafts of non-client material, plain-English explanations Free tier; Plus $20/month Free tier On Free and Plus, content is used to train OpenAI’s models unless you opt out
Claude (Anthropic) General use Summarizing long non-confidential documents Free tier; Pro $28/month, or $23/month billed annually Free tier On Free and Pro, chats can be used to train Anthropic’s models unless you opt out
Gemini (Google) General use Drafting inside Google Docs for Workspace firms Free tier; Google AI Pro $19.99/month; also included in Google Workspace from Business Standard up Free tier Chats can be used to improve Google’s AI models and some are read by human reviewers; Google says not to enter confidential information

Two columns settle most shortlists: best task and where your data goes. A tool built for a different task won’t fix your problem, and a tool whose data terms you can’t confirm shouldn’t see client documents.

LexWorkplace is the one tool in the table built around your firm’s own documents and email, and its card sets out what it does and where it stops.

LexWorkplace Logo

LexWorkplace

Cloud DMS with AI built into every document and matter

Best for: Firms that want AI working on their own documents and email inside the DMS, instead of bolting a separate AI tool onto it

PRICING

From $395/mo

FREE TRIAL

Yes. 7 days, full feature access, sample data, no credit card.

CLOUD-NATIVE

Yes

MAC SUPPORT

Yes, Windows and Mac. Google Chrome is the supported browser.

STRENGTHS

  • Document AI, Matter AI and firm-wide LexWorkplace AI on every plan (Starter, Core and Advanced), with no AI add-on cost

  • Matter AI answers across a matter’s documents, email and notes, with a Sources panel showing the files it drew from

  • AI runs only when someone asks, through the OpenAI API (not consumer ChatGPT). Firm content never trains AI models, and OpenAI keeps request data up to 30 days for abuse monitoring only

  • LexWorkplace AI only sees what the user can access, and a Matter AI or Document AI chat can be saved as a Matter Note

LIMITATIONS

  • AI scope is tied to the DMS (documents, email, notes), not broader legal research the way Lexis+ with Protégé or CoCounsel is

  • Cloud-only, with no on-premises option

  • It doesn’t draft documents from scratch

PRODUCT SCREENSHOT

LexWorkplace AI answering a question about a past matter, with its sources listed in the Context & Sources panel

Can You Use ChatGPT for Legal Documents?

You can use ChatGPT for early drafts of non-client material and plain-English explanations, but it has no grounding in your firm’s documents and can’t cite them, and the data terms on its Free and Plus plans make it the wrong place for client documents.

What ChatGPT Does Well

ChatGPT is useful for three kinds of work, as long as no client information goes into the prompt:

  • First drafts of non-routine documents, such as a one-off engagement letter or policy memo that doesn’t fit your templates

  • Plain-English rewrites of dense clauses for clients

  • Learning the basics of an unfamiliar legal topic before you open your research platform

Each of those outputs is a starting point an attorney edits.

Where ChatGPT Falls Short on Client Documents

ChatGPT can review a legal document in the sense of reading it and commenting on it, but it has no grounding in your firm’s documents and gives no citations to them.

It answers from the text you paste in and its general training, so it can’t tell you how a clause compares with your firm’s past matters. Before anyone at your firm uses it on legal work, put three guardrails in place:

  • Train staff on what your bar says about when and how AI may be used.

  • Keep confidential client information out of prompts, on free and paid accounts alike.

  • Read the terms of use for every tool you adopt, because consumer plans such as ChatGPT Free and Plus use your content for model training unless you opt out.

The same three guardrails apply to Claude, Gemini and every other general-purpose assistant.

What to Use Instead of ChatGPT

The legal versions of ChatGPT are legal-specific assistants such as CoCounsel, Harvey and Lexis+ with Protégé, and AI built into your document management system covers questions about your firm’s own files.

The comparison table shows which of them fits each task. LexWorkplace AI runs only when someone in your firm asks it a question, uses OpenAI through the OpenAI API rather than consumer ChatGPT, and never uses firm content to train AI models.

Is It Ethical to Use AI on Client Documents?

Yes, lawyers can use AI on client documents and use it to write legal documents, as long as their professional duties stay intact and the lawyer stays responsible for the output. ABA Formal Opinion 512 sets out which duties that involves for generative AI, and state bars add guidance of their own.

What ABA Formal Opinion 512 Requires

ABA Formal Opinion 512 says lawyers using generative AI must fully consider their ethical obligations, including competence, confidentiality, client communication and reasonable fees. The ABA issued it on July 29, 2024, and these are four of the duties it names:

  • Competence (Model Rule 1.1): providing competent legal representation when AI is part of the work

  • Confidentiality (Model Rule 1.6): protecting client information that goes into an AI tool

  • Communication (Model Rule 1.4): communicating with clients about the use of AI

  • Reasonable fees (Model Rule 1.5): charging fees consistent with the time spent using AI

The opinion frames these as duties the lawyer keeps, so choosing a tool doesn’t satisfy them on its own.

Can You Bill for AI-Assisted Work?

Formal Opinion 512’s own example says a lawyer may bill the time spent entering information and reviewing a generative AI draft, but in most circumstances not the time spent learning the tool. The attorney’s review of AI output is billable work, which is one more reason to build that review into every task above.

State Bars Issue Their Own AI Guidance

State bars issue their own guidance on AI, so your firm checks its own bar’s position alongside Formal Opinion 512. Your state’s rules of professional conduct are the ones that bind your attorneys.

The ethics rules set the duty, and what law firms can trust AI to do with client data depends on where each tool sends your documents.

How Do You Choose an AI Tool for Legal Documents?

Choose an AI tool for legal documents by starting from the task, then checking how it handles your documents, whether its answers cite their sources, whether it respects matter permissions, whether it works inside the DMS and Outlook you already use, and whether AI costs extra. Put the same six questions to every vendor in a demo.

Checklist of six questions to ask in an AI tool demo, covering task fit, data handling, citations, permissions and cost
Checklist of six questions to ask in an AI tool demo, covering task fit, data handling, citations, permissions and cost

Start from the task. Match the tool to the job before you compare features, because a contract review tool and a research platform solve different problems. Plan staff training before rollout, so everyone knows what the tool is for and what stays out of it.

Find out where your documents go. Ask where documents go when you ask a question, whether the vendor trains its models on them, and how long it keeps requests. LexWorkplace AI, for example, uses OpenAI through the OpenAI API and never uses firm content to train AI models, and OpenAI keeps request data for up to 30 days, for abuse monitoring only.

Expect answers that cite their sources. An answer that names the documents it came from can be checked against them. An answer without citations leaves your attorney repeating the search.

Check that matter permissions carry through. If a matter is restricted to part of your team, the AI should respect that restriction when it answers. LexWorkplace AI only sees what the user can access.

Use AI inside the systems you already work in. A tool that can’t reach your DMS and Outlook answers only from whatever someone pastes into it. An AI tool’s answers depend on its connection to where your documents live.

Ask whether AI is included or an add-on. Firms we talk to weigh total cost closely, and an AI add-on priced per user raises it. Document AI is included in every LexWorkplace plan, and Matter AI and LexWorkplace AI are available on every plan too.

Ask each vendor to prove its value in the demo, on documents like yours.

❝

Actually add value, make users’ lives a little bit better or don’t bother.

— Dennis Dimka, Founder, LexWorkplace

If a tool can’t show that during a trial on your own kind of work, keep looking.

Match the Tool to the Task, Then Check Where Client Data Goes

Start from the task, and the kind of tool follows: research platforms for research and cite-checking, Word-based tools for contract review, general assistants for non-client drafts. Then put the same questions to every vendor: where your documents go, whether they’re used for training, and whether answers cite their sources.

Whichever tool you pick, an attorney still reviews what it produces. If your task is asking questions across your own matters, documents and email, you can try LexWorkplace AI on sample data with a 7-day free trial.

WHAT’S NEXT

ARTICLE
What Is a Legal DMS? A Plain-English Guide for Law Firms

FREE ASSESSMENT
Get a Free Document & Email System Audit

FREE DEMO
Get a Free Demo of LexWorkplace

Frequently Asked Questions

Yes, AI can write first drafts of contracts, letters and other legal documents. An attorney still reviews every draft before anyone relies on it.

The best tool depends on the task: Harvey, Lexis+ with Protégé and Gavel Exec are built for legal drafting, and general assistants like ChatGPT suit early drafts of non-client material. For questions across your own documents and email, AI built into your DMS, such as LexWorkplace AI, is the better fit.

Yes, as long as you keep meeting your professional duties and stay responsible for the output. ABA Formal Opinion 512 names competence, confidentiality, client communication and reasonable fees among the duties to consider, alongside supervision and candor toward the tribunal.

ChatGPT can read a legal document and comment on it, but it can’t ground its answer in your firm’s documents or cite them. Keep confidential client information out of it on free and paid accounts alike.

Yes, legal-specific assistants such as CoCounsel, Harvey and Lexis+ with Protégé are built for legal work. AI built into your document management system, such as LexWorkplace AI, answers questions about your firm’s own files.

Legal AI vendors such as Harvey, CoCounsel and Gavel say customer data isn’t used for training, while consumer plans of general assistants can use your chats unless you opt out, so read each vendor’s terms before client documents go in. LexWorkplace never uses firm content to train AI models, and its AI runs only when someone in your firm asks it a question.

Some AI tools connect to an existing DMS and others are built into one, so ask each vendor which systems it can reach. LexWorkplace AI is built into LexWorkplace and works across the documents, email and notes already filed to your matters.

Last Updated: November 9th, 2026 / Categories: Artificial Intelligence /
Avatar photo
Jordan Hobbs runs content for LexWorkplace. He has more than 10 years in content marketing, including five in legal tech, and writes about how law firms organize, find and protect their documents and email: document management, email management, moving off servers and shared drives, and choosing legal software.