AI Tools for Lawyers: The Best Legal AI and Client Intake Software in 2026

The best AI tools for lawyers fall into two groups that solve different problems. Legal AI platforms like Harvey, CoCounsel Legal, and Lexis+ with Protégé help you research, draft, and review. Client intake tools like Clio Grow, Lawmatics, Smith.ai, and website AI agents help you answer and convert the prospective clients who contact your firm. Most firms need something from both groups, and very few need everything.

Adoption is real but still early. In the ABA's 2024 Legal Technology Survey Report, 30.2% of attorneys said their offices were using AI-based tools, up from 11% the year before. Usage ran highest at firms with 500 or more lawyers (47.8%) and lowest among solo practitioners (17.7%). Accuracy was the top concern, cited by 74.7% of respondents.

This guide covers both groups honestly, including where our own product, Bund AI, fits (website intake and consultation booking) and where it does not (anything resembling legal work). It is general information, not legal or ethics advice. Check your state bar's guidance before deploying any AI tool.

Quick picks

Legal research, drafting, and practice AI

Harvey: best for large firms and in-house teams that want one enterprise AI platform.
CoCounsel Legal (Thomson Reuters): best for firms that already rely on Westlaw and Practical Law.
Lexis+ with Protégé (LexisNexis): best for firms that want AI grounded in Lexis content with citation checking.
Spellbook: best for transactional lawyers who draft and redline contracts in Microsoft Word.
Clio Manage AI: best for small firms already running on Clio who want AI inside practice management.

Client intake and website conversion

Clio Grow: best for Clio firms that want intake forms, a legal CRM, and online booking.
Lawmatics: best for growth-focused firms that want intake plus marketing automation.
Smith.ai: best for firms that want humans backing up an AI chat and phone answering.
Bund AI: best for small firms that want a 24/7 website chat and email agent that answers intake questions and books consultations, at a low monthly price.

How we chose

We split tools by job because a research platform and an intake chatbot have almost nothing in common. For each, we looked at what the vendor's own site says the product does, who it is built for, whether pricing is public, and the limitations a buyer should know up front. Pricing is as of September 2026. Where a vendor does not publish prices, we say so rather than repeat third-party estimates. We did not include tools we could not verify on the vendor's own site.

Legal research, drafting, and practice AI

These tools do legal work alongside you. Every one of them still requires a lawyer to review the output, a point the ABA makes directly (more on that below).

Harvey

Best for: large law firms and corporate legal departments.
Key features: an AI platform for legal and professional services covering drafting, legal research, document analysis, and multi-step workflows, with client matters run on one shared platform.
Pricing: not published. Harvey sells through a demo and sales process. See vendor site.
Limitations: built for large organizations. Solo and small firms should expect a sales-led process and should not assume they will qualify.

CoCounsel Legal (Thomson Reuters)

Best for: firms already using Westlaw and Practical Law.
Key features: agentic AI workflows, deep research, document analysis, and drafting, with plans that bundle Westlaw Advantage and the Practical Law Dynamic Tool Set. A lighter CoCounsel Essentials tier is also offered.
Pricing: Thomson Reuters lists plans online for smaller firms and directs firms with more than 10 attorneys to sales. See vendor site for current prices.
Limitations: the value is tied to Thomson Reuters content, so it fits best if Westlaw is already your research home.

Lexis+ with Protégé (LexisNexis)

Best for: firms that research on Lexis and want AI grounded in that content.
Key features: the Protégé AI assistant for conversational research, drafting and redlining, document summarization, and analysis of uploaded materials. It includes Shepard's citation validation and connects to document management systems such as iManage and NetDocuments. LexisNexis renamed Lexis+ AI to Lexis+ with Protégé in 2026.
Pricing: not published. See vendor site.
Limitations: like CoCounsel, it is strongest inside its own content ecosystem.

Spellbook

Best for: transactional lawyers who live in Microsoft Word.
Key features: a Word add-in for reviewing, drafting, and redlining contracts, with benchmarks against market-standard terms, playbooks, and a multi-document agent called Associate.
Pricing: custom, per-seat pricing through a demo. Spellbook offers a 7-day free trial.
Limitations: focused on contracts. It is not a legal research tool, and it depends on Word as your drafting environment.

Clio Manage AI

Best for: small and mid-sized firms already on Clio.
Key features: an AI add-on inside Clio's practice management software that turns court documents into calendar events, surfaces prioritized tasks and risk alerts, drafts client updates, and prepares invoices.
Pricing: an add-on to Clio plans, which Clio advertises starting at $49 per user. See vendor site for add-on pricing.
Limitations: practice management AI, not legal research. It only makes sense if Clio is your system of record.

Client intake and website conversion

These tools deal with the step before the engagement. A prospective client lands on your site at 9pm, has a question, and wants to know if you handle their kind of matter. Whoever answers first and clearly often gets the consultation. If this is where your firm leaks the most, our guide to converting website visitors covers the broader playbook.

Clio Grow

Best for: firms on Clio that want intake built in.
Key features: customizable intake forms, a legal CRM for leads, online appointment booking, and support for Google Local Services Ads. Clio includes Grow in its Expand plan and also offers it as an add-on.
Pricing: see vendor site. Clio advertises plans starting at $49 per user.
Limitations: forms and CRM, not a conversational agent. Visitors still have to fill something in.

Lawmatics

Best for: firms focused on growth and marketing automation.
Key features: client intake, lead management, calendaring, custom forms, e-signature, SMS, and workflow and email marketing automation on higher tiers. Its Merlin AI add-ons score new leads and run outreach agents that respond to leads around the clock.
Pricing: custom quote. Lawmatics lists Essential, Premium, and Enterprise tiers, with a three-user minimum shown on its pricing page.
Limitations: quote-based, and the minimum seat count makes it a bigger commitment for a solo practice.

Smith.ai

Best for: firms that want a human safety net behind AI.
Key features: website chat where AI handles routine questions and live agents step in for lead qualification and intake, 24/7. Smith.ai also offers call answering by receptionists. Chat transcripts can go to your CRM.
Pricing: Smith.ai lists live-staffed chat from $140 per month for 20 chats, or $10 per chat pay-as-you-go (pricing as of September 2026).
Limitations: per-chat pricing gets expensive at volume. Because humans are involved, you are paying partly for staffing, which is the point but also the cost.

Bund AI

Best for: solo and small firms that want an always-on website and email agent to answer intake questions, qualify inquiries, and book consultations.
Key features: answers from your own content (practice areas, fee structure, office locations, what to bring to a consultation), asks your qualifying questions and captures a lead with contact details and intent, and books consultations against real availability via Google Calendar, Cal.com, or Calendly. It hands off to a person with the full conversation, works over web chat and email, replies in 40+ languages, and flags buying intent. Custom HTTP actions can send data to your own systems.
Pricing: Basic is $0.99 per month (50 AI replies), Starter $49, Growth $99, and Scale $199 per month, with Enterprise on request. See the pricing page.
Limitations: Bund AI does not give legal advice and should be configured not to. It is not a practice management system, does not run conflict checks, and has no built-in Clio or Lawmatics integration (you would connect through custom actions or webhooks). It does not answer phone calls. It is closed source and does not hold legal-industry or security certifications, so review its data handling against your own confidentiality obligations before collecting anything sensitive.

You can see how Bund AI handles lead capture and appointment booking, and how it is set up for professional services on the consulting firms and service businesses pages.

What a legal chatbot should and should not do

A "legal chatbot" on a firm's website is an intake tool, not a lawyer. Designed well, it:

Answers factual questions from your own published content: practice areas, jurisdictions you cover, how consultations work, whether you offer free or flat-fee consultations, and office hours.
Asks a small set of screening questions you approve, such as matter type, location, and how to reach the person.
Books a consultation or routes the inquiry to the right attorney.
Hands off to a person when a question needs judgment.

It should not:

Give legal advice or predict outcomes. Configure it to decline and offer a consultation instead.
Invite a prospective client to share detailed facts of their matter before you have run a conflict check. Keep intake questions to what you need to route and screen.
Pretend to be a person. Say clearly that it is an AI assistant.

That second point matters because duties to prospective clients start early. ABA Formal Opinion 512 notes that Model Rule 1.18(b) extends confidentiality protections to prospective clients' information, so whatever your chatbot collects needs the same care as the rest of your intake. For more on designing the handoff, see when AI should hand off to a human.

The ethics of AI tools for lawyers

In July 2024 the ABA Standing Committee on Ethics and Professional Responsibility issued Formal Opinion 512, its first formal guidance on generative AI. It does not ban any tool. It says lawyers using generative AI must consider their existing duties, including:

Competence (Rule 1.1): understand the benefits and risks of the tools you use, and review output for accuracy.
Confidentiality (Rule 1.6): understand how a tool uses the information you put into it. The opinion says boilerplate consent language in an engagement letter is not sufficient where informed consent is required.
Communication (Rule 1.4): consider whether you need to tell clients you are using AI on their matter.
Fees (Rule 1.5): bill hourly clients for actual time spent, including time reviewing AI output, and generally not for learning how to use a tool.
Supervision, candor, and meritorious claims: supervise staff and vendors using AI, and never file unverified citations.

State bars have issued their own guidance too, and it varies. Treat this summary as a starting point, not a substitute for reading the opinion and your state's rules.

How to choose AI tools for your firm

Start with the bottleneck, not the tool. If associates spend hours on first-pass research or contract review, a research or drafting platform will pay back fastest, and the right one is usually the one tied to the research service you already pay for. If the problem is that inquiries arrive after hours and go cold, an intake tool will do more for revenue than any research product.

Then check four things. Does the vendor explain how your data is used and whether it trains models? Can you review and correct everything the tool produces? Does it fit the systems you already run, such as Clio, your calendar, and your document management system? And can you try it on real work before committing?

For intake specifically, measure how many inquiries arrive outside business hours and how long they wait for a reply. If a meaningful share arrives at night or on weekends, an always-on agent that books the consultation is worth testing. If you want help drafting replies to inquiries in the meantime, our free AI email response generator is a quick way to write a clear, professional first response.

Frequently asked questions

What is the best AI tool for lawyers?

It depends on the job. For legal research and drafting, CoCounsel Legal and Lexis+ with Protégé are strongest for firms already on Westlaw or Lexis, and Harvey targets large firms. For contract drafting in Word, Spellbook is a focused option. For intake and website conversion, Clio Grow, Lawmatics, Smith.ai, and Bund AI solve different parts of the problem.

Is it ethical for lawyers to use AI?

Yes, according to ABA Formal Opinion 512, as long as lawyers meet their existing duties of competence, confidentiality, communication, supervision, candor, and reasonable fees. That means reviewing AI output, protecting client information, and being transparent where required. Check your state bar's guidance as well.

Can a legal chatbot give legal advice to website visitors?

It should not. A website chatbot should answer factual questions about your firm, screen inquiries, and book consultations, then route anything that needs judgment to an attorney. Configure it to decline legal questions and offer a consultation instead.

What is the best client intake software for law firms?

Clio Grow suits firms already on Clio. Lawmatics suits firms that want intake plus marketing automation. Smith.ai suits firms that want live agents alongside AI. Bund AI suits small firms that want a low-cost, always-on chat and email agent that qualifies inquiries and books consultations directly into their calendar.

How much do AI tools for lawyers cost?

Research platforms like Harvey and Lexis+ with Protégé do not publish prices and are quoted by sales. Spellbook and Lawmatics are also quote-based. Smith.ai lists chat from $140 per month, Clio advertises plans from $49 per user, and Bund AI starts at $0.99 per month with paid plans from $49 per month.