AI for Lawyers: 6 Practical Uses, the Right Tools, and the ABA Rules to Follow

AI for lawyers means using generative AI and machine learning tools to speed up legal research, drafting, contract review, client intake, document review, and routine admin work. Lawyers can use them ethically under ABA Formal Opinion 512, as long as they protect client confidentiality, verify every output, and stay responsible for the final work product.

This guide covers the six uses that pay off fastest for a solo practitioner or a small law firm, the tools US lawyers actually use for each one, what the ABA and state bars require, and a three-step plan to get started without putting client data at risk.

How are law firms using AI today?

Generative AI went mainstream in late 2022, and the adoption of AI in law moved faster than many expected. Large firms went first: Allen & Overy, now A&O Shearman, announced a firmwide rollout of Harvey in February 2023. Small firms of 2 to 20 lawyers followed more slowly, often starting with ChatGPT.

The adoption numbers worth knowing

The Clio 2024 Legal Trends Report found that 79% of legal professionals were using AI in some form, up from 19% the year before. The ABA's 2024 Legal Technology Survey Report paints a more conservative picture: 30% of responding attorneys used AI-based tools, up from 11% in 2023.

Firm size matters. In the same ABA survey, 46% of respondents at firms with 100 or more attorneys used AI tools, against 18% of solo practitioners.

What AI changes in a lawyer's week

Goldman Sachs economists estimated in March 2023 that 44% of legal tasks in the US could be automated by generative AI. That figure describes tasks, not jobs. In practice: less raw research and formatting, more time for analysis, strategy, and client counseling.

For a firm that is also building its law firm SEO strategy, AI becomes a productivity multiplier on several fronts at once.

What do the ABA and state bars say about AI?

No US jurisdiction bans lawyers from using AI, and the rules you already follow apply in full. The clearest statement is ABA Formal Opinion 512, issued on July 29, 2024, the ABA's first formal ethics opinion on generative AI.

ABA Formal Opinion 512 in five points

• Competence (Rule 1.1 and comment 8): you need a reasonable understanding of what the tool can and cannot do. Since 2012, comment 8 has asked lawyers to keep up with "the benefits and risks associated with relevant technology," and most states have adopted it.
• Confidentiality (Rule 1.6): before you enter client information into a self-learning tool, you need the client's informed consent. The opinion is explicit that a boilerplate clause in an engagement letter is not enough.
• Communication (Rule 1.4): in some situations you must tell clients you are using AI, for example when they ask or when its output will influence a significant decision in the matter.
• Candor and supervision (Rules 3.1, 3.3, 5.1, and 5.3): you check every citation before filing, and managing lawyers set clear policies for the lawyers and staff who use AI.
• Fees (Rule 1.5): if you bill hourly, you charge only for time actually spent, prompting and reviewing included. In most cases, you cannot bill a client for learning a general-purpose tool.

State bars and courts add their own layer

Several state bars have published their own guidance, including California (November 2023), Florida (Ethics Opinion 24-1, January 2024), New York (State Bar task force report, April 2024), and Texas (Opinion 705, February 2025). They broadly align with Opinion 512 but differ on details such as client disclosure, so check each state where you practice.

Courts are moving too: since 2023, a number of federal judges, starting with Judge Brantley Starr in the Northern District of Texas, require lawyers to certify or disclose generative AI use in filings. Your marketing has its own rules, covered in our guide to lawyer solicitation rules.

6 practical uses of AI for lawyers

Here are the uses with the best return for a solo practitioner or small law firm, from the simplest to the most advanced.

1. AI-powered legal research

This is the most immediate time saver. Westlaw's CoCounsel, which Thomson Reuters built on its 2023 acquisition of Casetext, and Lexis+ AI, which LexisNexis expanded into a broader agentic platform in February 2026, answer research questions in plain English, surface relevant cases, and summarize opinions in seconds. Answers are grounded in each publisher's own content and linked to sources.

The tool clears the ground; you still verify every authority with KeyCite or Shepard's before relying on it. Our guide to AI legal research goes deeper on how these platforms compare.

2. Drafting and revising documents

ChatGPT and Claude help you outline a brief, tighten a paragraph, spot an inconsistency, or produce a first draft of a demand letter. A good prompt sets the context (document type, court, tone), the governing law, and the expected format. Human review is never optional: you reread, check every reference, and correct.

For anything close to client work, use a business plan rather than a free consumer account: the business tiers of ChatGPT and Claude do not train models on your data by default. For more, read our guide to ChatGPT in legal practice: risks and best practices.

3. Contract analysis and review

Tools such as Spellbook, which works inside Microsoft Word, Harvey, and Luminance read a contract, flag risky clauses, compare versions, suggest redlines, and speed up due diligence. Harvey mostly targets large firms and in-house teams, so a smaller transactional practice will usually find Spellbook easier to trial.

The lawyer still validates, negotiates, and makes the call. Our article on AI contract review covers the workflow in detail.

4. A client intake chatbot on your website

A conversational assistant on your site can answer common questions, qualify prospective clients, and book a consultation after hours. Services such as Smith.ai and Intaker offer AI chat and intake built for law firms. It is a real lever for getting more clients, as long as you set it up carefully.

Three guardrails apply. The bot must not give legal advice, it must say clearly that no attorney-client relationship exists yet, and it must collect only what you need. Information from prospective clients is protected under Rule 1.18, and state privacy laws such as the CCPA may apply. More in our guide to client intake automation.

5. Smarter document management and review

OCR, automatic exhibit tagging, and full-text search across thousands of pages change how you handle a large case file. eDiscovery platforms such as Everlaw and Relativity now use generative AI to summarize documents and speed up first-pass review. Finding one email buried in a production takes minutes instead of days, and that time goes back to case strategy.

6. Automating internal workflows

Document templates, deadline reminders, matter updates, and meeting summaries: these light automations reduce mental load and missed steps. Clio's Manage AI, formerly Clio Duo, summarizes matters and drafts client updates inside your practice management software, and Microsoft 365 Copilot summarizes Teams meetings and long email threads.

Paired with well-organized firm communications, these automations free up hours every week. Our guide to law firm automation lists the workflows to start with.

Is there a legal AI app? Free and paid tools compared

Yes, and the market splits into three families. Knowing which one you need keeps you from paying for a platform you will barely use.

General-purpose AI assistants

ChatGPT, Claude, Google Gemini, and Microsoft Copilot all have web and mobile apps, plus free tiers. They are excellent for writing, summarizing public documents, and brainstorming, but they are not connected to a verified case law database. See our list of free AI tools for lawyers.

Legal-specific AI platforms

CoCounsel from Thomson Reuters, the Lexis+ platform from LexisNexis, Harvey, and vLex's Vincent AI are built for legal work, with citations you can check and stronger contractual data commitments. They are paid subscriptions, compared in our roundup of legal AI tools.

Practice management software with built-in AI

The most popular legal software companies for small firms, including Clio, MyCase, Smokeball, and Filevine, now ship AI features inside the tools you already use for matters and billing. If you already pay for one, start there. Compare them in our guide to law practice management software.

The limits and risks of AI in legal practice

Generative AI is fallible, and a lawyer cannot afford to ignore its blind spots. It is neither a search engine nor an encyclopedia: it predicts plausible text, and plausible is not the same as accurate.

Hallucinated citations

A model can invent a case or a statute with total confidence. In Mata v. Avianca (S.D.N.Y. 2023), two New York lawyers and their firm were fined $5,000 after filing a brief that cited cases ChatGPT had made up. Similar sanctions have followed across the country.

Client confidentiality and vendor due diligence

Never enter identifying or privileged information into a consumer AI tool. Anonymize it, or use a professional tool that contractually commits not to train on or reuse your data. Before you sign, ask where data is stored, how long it is kept, who can access it, and whether the vendor has passed an independent security audit such as SOC 2.

Billing and responsibility

Under Opinion 512, efficiency gains cannot be billed as if you had spent the time, which is why some firms are moving AI-heavy work to flat fees. Above all, responsibility stays entirely with you. AI assists; it does not decide.

Well governed, AI is an ally; used carelessly, it creates real ethics exposure. The right mindset is augmentation, not replacement, as we explain in our article on whether AI will replace lawyers.

How to start using AI at your firm: a 3-step roadmap

No need to overhaul everything. Start small, secure the basics, then scale up.

• Step 1, test on non-sensitive work: use ChatGPT or Claude on tasks with no client data, such as summarizing a public opinion, brainstorming, outlining a blog post, or rewriting a paragraph. You measure the time saved with zero risk.
• Step 2, train your team and write an AI policy: a one-page policy on which tools are approved, what is allowed, and what never goes into a prompt. Clio offers a free Legal AI Fundamentals Certification, and states such as Florida and North Carolina already require technology CLE.
• Step 3, evaluate a specialized tool: legal research, contract review, or document review, depending on your main practice area. Compare security and data terms before price.

Meanwhile, think about how AI sees your firm. Being cited by ChatGPT or Google's AI Overviews when a prospective client looks for a lawyer now matters. We explain how in our guide to AI search optimization for law firms and in our broader guide to law firm marketing.

How Hendy helps law firms stay visible in the age of AI

AI also changes how your future clients find you. Answer engines and AI assistants already recommend law firms, and you need to be part of those answers. That is the core of our work as a law firm SEO agency: structuring your website, content, and authority so you are visible on Google and in AI-generated answers.

Key takeaways

Artificial intelligence for lawyers is a concrete productivity lever, from faster legal research to automated routine tasks. ABA Formal Opinion 512 and state bar guidance allow it, as long as you stay in control of competence, confidentiality, and your final work product. Start with non-sensitive tasks, train your team, then evaluate a specialized tool that fits your practice.

Want to bring AI into your firm without compromising your ethics, while growing your visibility? Tell us about your firm and we will build a strategy that fits.