AI Marketing for Lawyers: Plan, Draft, and Review Content

AI tools can help a law firm produce blog posts, social content, and client newsletters faster than any previous workflow. The speed is valuable, and it comes with a real risk: AI-generated copy that uses language a state bar restricts, overstates outcomes, or implies a client relationship before one exists. Every AI marketing draft needs an attorney's eye before it is published. Tools like fenbs keep your firm's approved voice, content rules, and review decisions outside any single tool, so each new piece starts from the same agreed baseline.

This page covers AI-assisted content planning and drafting for legal practices. For AI support in client-facing legal work, the AI agents for lawyers page covers that territory. The AI for lawyers training page covers staff education.

What bar rules govern law firm advertising

Every state has rules on lawyer advertising, drawn from the ABA's Model Rules of Professional Conduct. Common restrictions include prohibitions on false or misleading statements about results, on language that creates unjustified expectations, and on testimonials that imply future outcomes from past results.

AI tools trained on general marketing content do not know these rules. They will produce confident, persuasive copy that a marketer would approve but that a state disciplinary body might not. Before publishing anything AI-generated, an attorney familiar with the applicable rules needs to review it for compliance.

Check your state bar's current advertising rules and any recent formal opinions before settling on a review standard. Several state bars have issued guidance specifically on AI-generated content since 2025.

Building a content plan with AI

Content planning is one of the safest places to use AI in legal marketing. Ask it to generate a list of questions people in your target audience actually search for, suggest topic clusters around a practice area, or outline a content calendar for the next quarter.

The output at the planning stage is topic ideas and structure, not final claims. It is cheaper to revise a list of ten article ideas than to revise ten finished drafts. Run the compliance check once on the plan, not separately on every article.

Separate practice-area topics from firm-news topics. Practice-area content ages slowly: a post explaining what factors courts weigh in a custody dispute remains useful for years. Firm-news content (a new hire, a case outcome) needs to be accurate on the day it is published and may need updating.

Drafting with a consistent voice

Law firms develop a recognizable voice over years: measured, authoritative, direct, or more conversational depending on the practice and the audience. AI tools do not know your firm's voice unless you tell them. Build a brief voice guide that describes the tone, the level of technical language, what the firm does not say, and two or three examples of copy that hit the mark.

Load that guide at the start of each content session. Without it, drafts vary from session to session depending on how the prompt is worded. With it, a new associate running the AI session produces copy that matches what a senior partner would recognize as the firm's style.

Keep the voice guide short enough to read in two minutes. A 20-page brand manual is not a practical AI prompt. Capture the most important rules: the two or three things that make the writing sound like the firm, and the two or three things it must never do.

The review step that must not be skipped

A typical AI-generated legal marketing draft will contain at least one phrase that needs attorney review: a result implied as typical, a timeline that varies by case, a practice description that overstates certainty. The review step is not editing for style; it is compliance checking for claims.

Build the review into the production process, not as a final hurdle before publishing. A draft that reaches the review stage ready to publish except for one compliance issue is more likely to be published without fixing that issue than a draft that enters review at the outline stage.

Record what you change at review and why. If AI copy regularly contains the same compliance problem, that is a signal to add an instruction to the AI session setup: "do not state expected timelines" or "frame outcomes as dependent on case-specific facts." The instruction prevents the same edit on every piece.

Approved voice and review decisions between sessions

Content marketing is cumulative. A firm that publishes regularly needs its voice and standards to carry between sessions, between team members, and across the firm's different practice areas. Without a shared record, each AI session reinvents the approach and the compliance review catches the same problems repeatedly.

How to do this with fenbs

1. Create a free account and set up a project for your firm's marketing work.
2. Add the firm voice guide and content standards as Skills and prompts. Include the tone rules, what the firm does not say, and approved language for common practice-area claims.
3. Add bar-compliance review rules as Decisions and rules: which claim types need a disclaimer, which require a partner review, which language your state bar has flagged.
4. For each content campaign, add a task for each piece. Note the review outcome and the edits made, so patterns become visible.
5. Connect your AI writing tool from Integrations and ask it to read the content standards before each session.

For broader AI strategy in legal practice, see AI agents for lawyers and what an AI brain is.