8 Best Legal AI Tools for Law Firms (2026)

A law firm of a few hundred people sells its lawyers' time, and much of that time goes to reading and first drafts: the research memo, the markup of the other side's contract, the first pass through a production.

Associates draft, partners check, and the client pays for the hours or the firm writes them off.

AI tools now take a large part of that first pass. They are sold by the seat, to every lawyer you license, at a price most vendors give only on a call, and the lawyer who signs the filing still answers for every citation the tool wrote.

Here are eight, one for each job a firm buys AI for: research, drafting across practice groups, contracts, discovery, the document system and the practice system.

They run in the order a firm your size should look at them, judged on what you can check before you sign: whether the price is published or quoted, how many seats you must buy, and whether it works in Word and the document system your lawyers already use.

Each tool works inside its own window. The path between them, from the AI draft back into the right matter, to the partner who reviews and signs it, with a record of who checked each citation, runs on your firm's own rules, and the firms that automate it build it.

That is the work we do: Qvery builds custom AI agents for a law firm's operations, connected to the systems it already runs. If you need one, get in touch. After the list, I'll show how we build the first one.

The first two are about money: the quote depends on who is asking, and the seats a firm pays for are not the seats its lawyers use. The last two come from one firm's three-week trial of three platforms, and they are why this list weighs fit and checking over features.

CoCounsel Legal is Thomson Reuters' AI on top of Westlaw and Practical Law, and that is its case for a firm already paying for Westlaw: research, analysis and drafting from one request, grounded in content you license, with linked citations to check.

Its brief builder drafts from Westlaw and Practical Law authority, and the attorney picks the arguments and validates every citation.

It also reads your own documents. Thomson Reuters says it reviews up to 10,000 documents against 100 questions, and it analyzes and drafts with your iManage content without leaving your workflow.

The price stops being public above 10 attorneys. Above that, you call. One firm of 102 attorneys and fee earners reported being quoted about $1,600 a seat a month for Westlaw, Practical Law and CoCounsel bundled together.

• Research, analysis and drafting from one request, grounded in Westlaw and Practical Law.
• Westlaw Brief Builder: a brief from issue framing to argument structure.
• Document review: up to 10,000 documents against 100 questions.
• Drafting with your iManage content, without leaving your workflow.

The score is lawyers on Reddit setting it against the platforms below, and many call its drafting weak. Its research is what its fans pay for, and its G2 score is the highest on this list.

The test: give it the research question behind your last brief, and compare its memo, citation by citation, with the one your associate wrote.

Lexis+ with Protégé is the same move for a firm on Lexis: LexisNexis's AI assistant for research, analysis and drafting, grounded in LexisNexis content, with Shepard's to validate citations and check each authority's status inside the draft.

Its page says it connects to iManage, SharePoint and NetDocuments to answer and draft from your own documents. A consultant running one firm's pilot on SharePoint set out to learn whether that connection indexes the firm's documents or only searches them, and that is the question to settle before you sign.

The online store sells to the smallest firms (for 3 or more seats it asks you to contact sales), and even there the AI plan reads "pricing on request". The prices it does list are for Lexis+ research without the AI.

• Protégé drafts and refines contracts, motions, briefs, complaints and client communications.
• Shepard's validation of citations inside the research and drafting workflow.
• Practice notes, annotated forms and drafting guidance across 25 practice areas.
• Connections to iManage, SharePoint, NetDocuments and other document systems.

No rating: G2 lists three reviews, too few to read.

The test: point it at your messiest matter folder and ask a question only a document deep inside it can answer.

Harvey is the platform lawyers talk about most: an assistant, document vaults, workflow agents, and add-ins for Word and Outlook. It has a page and an onboarding team for firms your size, lawyers who shape your first workflow around the work slowing you down most and then hand it over.

What you pay is a quote, and the reports move. In 2025 one litigation firm was quoted a 60-attorney minimum, and another was asked to pilot with 40 lawyers and settled on 15.

In early 2026 the firm of 102 reported a Harvey quote of $1,200 a seat a month, $2,400 with the Lexis content, and later a lower tier near $399. A technology lead at a 115-attorney firm says the minimum seat commitment has since dropped.

• Assistant and Vault: questions and review across large document sets.
• Workflow agents for repeatable tasks, and your own built on top.
• Word and Outlook add-ins.
• Connector Library: security-reviewed connectors or your own.
• SAML single sign-on, audit logs, IP allow-listing and data lifecycle controls.

Harvey draws the most talk on Reddit of any tool here, and much of the negative is about its price and whether it adds enough over a general assistant, more than about using it.

The test: ask for a pilot sized to the lawyers who will use it daily, with the price of the full rollout and its seat count in writing before it starts.

Legora is Harvey's closest rival: an agent that proposes a plan before it drafts, tabular review across thousands of documents with each answer cited, legal research, and add-ins for Word and Outlook. The lawyers who like it on Reddit like it for drafting from rough outlines and for the Outlook add-in.

Like Harvey, it publishes no price. It also sells intake, but for in-house legal teams routing requests from email, Teams and Slack; in a firm, the drafting, the review tables and the add-ins do the work.

• Legora Agent: proposes a plan, then searches, drafts, redlines and reviews.
• Tabular Review: one table of answers across thousands of documents, each cell cited to its source.
• Word Add-in and Outlook Add-in.
• Outlook: summaries of long threads, drafted replies, emails and attachments saved to a matter.

The test: give Harvey and Legora the same three closed matters, and have the same lawyers grade the drafts without knowing which tool wrote which.

Spellbook takes one job, contracts, and does it inside Microsoft Word: review against your playbook, redlines, drafting from your own precedents, and benchmarks of market terms. For a transactional group, that is the tool in the window they already work in.

A technology lead at a 115-attorney firm plans to license it for a year because laterals there use it every day. It prices by the number of people on the license; one user reported $300 a month without a long contract in 2025.

• Review: a first pass against your standards, with redlines.
• Playbooks: your positions turned into checklists run on every review.
• Draft: clauses, agreements and revisions from AI or your precedents.
• Benchmarks of terms, and Associate, its agent for work across several documents.

The test: run last month's NDAs against your own playbook in it, and count the clauses it flagged that your lawyers would not have.

Everlaw is a discovery and litigation platform, and its AI works on the record: Deep Dive answers questions across a whole matter with citations to the source documents, Coding Suggestions proposes first-pass review calls with a reason for each, and a writing assistant builds arguments from the evidence.

It is the one entry not sold by the seat. Its plan lists unlimited user licenses, and its AI features run on credits. Two firms on Reddit report pricing by the gigabyte, Deep Dive included as a one-time charge per gigabyte.

• Deep Dive: plain-language questions across a matter, cited to the documents.
• Coding Suggestions: first-pass review calls, each with its justification.
• Writing Assistant and Review Assistant.
• Predictive coding, clustering and translation.

The test: load one closed matter you already know well, and ask Deep Dive the three questions your trial team spent the most hours answering.

Built into iManage Work 10, it takes one prompt, searches your whole repository, reads what it finds and answers with citations, and the documents never leave iManage or the permissions you already set.

That answers the first complaint of the firm that built its own tool: the AI and the documents live in one place. If your firm runs NetDocuments, its ndMAX suite is the same idea, bringing the AI to your content rather than your content to the AI.

• Ask iManage: questions across the repository, answered with citations.
• Summaries and overviews of long documents.
• Answers that follow your existing permissions, security standards and governance policies.
• Connections out to Microsoft 365 and AI partners, Harvey and Legora among them.

The score is for iManage as a whole: on Reddit, firms talk about the system far more than its assistant.

The test: ask it for every engagement letter with a particular clause on one practice group's matters, and check the list against what your team finds by hand.

Clio Work reads the matter already in Clio, its documents, emails, notes and deadlines, researches the law against those facts with a citator that confirms each authority is current, and drafts in Word. Clio now owns vLex, so the research library behind it is vLex's.

It fits the smaller end of the firms this list is for, where Clio runs the practice.

Its one published price has no AI in it: Clio Manage's Starter plan, $49 a user a month. AI comes with the higher plans and with Clio Work, all priced on request; one user reported Clio Work at $299 a license a month.

• Clio Work: matter-aware research, analysis and drafting, cited to its sources.
• A built-in citator that confirms an authority is current before you cite it.
• Clio Manage's AI: bills drafted on schedule, documents turned into deadlines, client updates drafted from matter activity.
• Court monitoring that brings new filings onto the matter.

The score is for Clio as a whole; most of its mentions are about running the practice, not the AI.

The test: open a live matter and ask it for the deadlines, the open issues and a first draft of the next filing, then compare all three with what the responsible associate would write.

The Seat Floor Decides More Than the Feature List

Read the price column first. No entry publishes a price a firm of 100 to 500 people would pay: the two research tools sell online only to the smallest firms, and everything else is a quote.

What you can still check before a demo is the seat floor in the contract and whether the tool opens inside the systems your lawyers already use.

A Seat Earns Its Price Only From a Lawyer Who Uses It Every Week

Start with what the ethics rules say about the bill. Under the American Bar Association's Formal Opinion 512, a lawyer who bills by the hour bills only the actual time, and a tool that equips the practice is overhead the client does not pay for unless told in advance.

So a seat is paid from the firm's own margin, and it earns that back only as hours that turn into money: matters taken on without a new hire, fixed-fee work finished faster, time written off today that stops being written off.

Then count who uses it. One firm's technology buyer says use of its Thomson Reuters tools runs under 20% a month, and others describe a handful of power users beside licenses nobody opens. Here is the arithmetic for a firm of 60 lawyers, with example figures: every one of them is an assumption to replace with yours.

The same 15 lawyers do the same work in both columns. With every lawyer seated, each of the 15 has to hand back about four and a half hours a week for the tool to pay; with only the 15 seated, a little over one.

The seat floor is the number to settle before you sign, because a minimum of 60 seats buys you the left column whether or not the other 45 lawyers ever open it.

Then take the checking out of the hours saved. In Wadsworth v. Walmart, a federal court in Wyoming fined three lawyers in February 2025 after their motions in limine cited nine cases, eight of which did not exist.

The fake cases came from what the court describes as an in-house AI database the firm had launched, and the two lawyers who signed without reading the motion were fined too. The court's rule was plain: make a reasonable inquiry into the law before signing, or do not sign.

The ABA's opinion asks for the same thing in gentler words: review proportionate to the tool and the task, possibly lighter where the tool has already proved accurate on a smaller set. So run that test before you count a single hour, and count the checking against the time saved.

How Qvery Builds the Agent That Carries a Draft From the AI Tool to Signature

When a lawyer finishes a draft in whichever tool on this list your firm uses, the agent files it to the right matter in the document system with the firm's own profile fields, so nobody downloads and re-uploads it.

It pulls every citation and quotation into a checklist, each with the page it came from, and opens the review task for the partner who will sign.

The partner checks each line against its source. The agent does not decide whether a case is good law; it makes sure nobody signs before every line is checked, and it saves the checklist to the matter with who checked what, and when.

The same way of working covers the rest of a firm's operations, from the first inquiry to the closed file. Our legal playbook walks a matter through those steps and names where an agent helps first.

We learn how drafts move through your firm today, connect the agent to your document system, your task system and the AI tools you already pay for, and reach a first working result in two weeks. Then we train the lawyers and assistants who work with it. From there it runs on its own, on autopilot, beside them.

Every week it runs, we count two things: the hours it hands back, in drafts filed and reviews opened without anyone chasing them, and the errors it stops before they leave the firm, a citation nobody checked or a draft saved to the wrong matter.

If your lawyers already draft with AI and the checking still runs on email and memory, start with one practice group's drafts.

Match the Tool to Your Practice Mix and the Systems You Already Pay For

Litigation-heavy and on Westlaw: start with CoCounsel Legal, and get the quote for your number of lawyers before the demo.

On Lexis: Lexis+ with Protégé, tested on your own messiest matter folder.

Several practice groups and the budget for one platform: run Harvey and Legora on the same three closed matters, with the same lawyers, before you sign either.

Transactional work that lives in Word: Spellbook, with your playbook loaded on day one.

Large productions: Everlaw, priced on your data rather than your seat count.

Documents scattered between the AI tool and the DMS: start with the assistant inside iManage or NetDocuments.

A smaller firm that runs on Clio: Clio Work, on the system that already holds the matter.

A personal injury practice: look at the tools built for demand letters and medical chronologies, such as EvenUp and Supio, before any platform.

Whichever you pick, seat the lawyers who will use it every week, not the whole firm, and keep the Wyoming court's rule, a reasonable inquiry into the law before anyone signs, which in practice means checking every citation.

The path between your systems, from the AI draft back into the right matter to the partner who signs it, runs on your firm's own rules. The firm that trialed three of these platforms found none of them connected to its DMS and task system, so it is building that part itself.

That is the work we do: Qvery builds custom AI agents for a law firm's operations, connected to the systems it already runs. If you need one, get in touch.