Yes. A law firm that writes a review with AI and posts it as a client, or pays a vendor who does, is publishing a false statement about its services, which Model Rule 7.1 prohibits and the FTC fake-review rule separately penalizes. AI is not the violation. The false authorship is.
Firm AEO's earlier posts covered how reviews reach AI engines and how a Gemini-drafted reply raises a Rule 1.6 confidentiality problem. This post covers a different question: which review practices become violations when AI is involved, and which do not.
- Originality.ai analyzed 4,706 law office reviews from 49 U.S. markets and found 34.4% of 2025 reviews were likely AI-written, a probability estimate and not proof of any specific review.
- The FTC final rule on fake reviews, announced August 14, 2024 and effective October 21, 2024, bars creating or buying reviews that misstate who wrote them or their experience, including AI-generated ones, with penalties up to $51,744 per violation.
- The same rule bars offering payment or incentives tied to a review being positive or negative, so a gift card for a five-star review is a problem whether or not AI is involved.
- A lawyer can answer for a marketing vendor's conduct, so the firm's vendor contract and review policy matter as much as its own habits.
Is it an ethics violation if the firm writes a review with AI?
Yes, when the review is posted as if a client wrote it. Amy Richardson of HWG Law told NC Lawyers Weekly in July 2025 that false AI-generated reviews would violate Rule 7.1 of the North Carolina Rules of Professional Conduct, which mirrors ABA Model Rule 7.1's ban on false or misleading communications about a lawyer's services.
The tool is not what matters. A fabricated review from a nonexistent client is false whether a person or a language model typed it.
What does the FTC fake-review rule add?
The Federal Trade Commission announced its final rule on August 14, 2024, effective October 21, 2024. According to the FTC, the rule bars creating, buying or spreading reviews that falsely claim to come from a nonexistent person or someone without real experience, and it names AI-generated reviews. A business is covered when it knew or should have known the reviews were fake.
Penalties can reach $51,744 per violation, as reported by NC Lawyers Weekly. The rule is a separate layer on top of the bar rules, so a firm can face both.
| Practice | FTC rule | Bar rules | AI involved? |
|---|---|---|---|
| Firm writes a review as a client | Prohibited | Rule 7.1 false statement | Often |
| Vendor posts reviews for the firm | Prohibited if firm knew or should have known | Firm may answer for vendor conduct | Often |
| Staff or relatives post without disclosure | Insider rule requires clear disclosure | Rule 7.1 misleading risk | Sometimes |
| Payment tied to a positive or negative review | Prohibited | Rule 7.1 and state incentive rules | No |
| Client drafts own real review with AI help | Not addressed directly in the sources reviewed | Unsettled; ask ethics counsel | Yes |
What if a real client uses AI to write their own review?
That question is unsettled. The FTC page describes the prohibited conduct as reviews that misstate the writer's experience or come from no real person. A real client who runs an honest opinion through a writing assistant does neither, but none of the sources reviewed addresses the case directly.
Richardson said bars have not resolved whether a lawyer must act on reviews the firm did not write but learns about. Firm AEO treats that as a question for the firm's ethics counsel, not a marketing decision.
Can the firm be responsible for a vendor's fake reviews?
Yes. Grace Wynn of HWG Law told NC Lawyers Weekly that attorneys can violate the rules through another party's actions, such as a marketing service that facilitates fake reviews. The FTC standard of knew or should have known means a vendor promise of fast review growth with no explanation of how it is done is a warning sign.
Model Rules 5.1 and 5.3, which cover supervision of lawyers and nonlawyer assistants, are the usual starting point for that analysis. The firm's ethics counsel decides how they apply.
Why does a fake review hurt AI visibility as well?
Because the review layer is only useful to an engine while it is credible. SOCi's 2026 Local Visibility Index found ChatGPT-recommended locations average 4.3 stars, so a firm has an obvious temptation to inflate. Originality.ai found suspected AI-written reviews rose 1,586% after ChatGPT launched in 2022, which is why platforms and detectors are now looking.
A removed review, a profile suspension or an FTC complaint costs the firm more than the stars gained. No study reviewed measures how engines treat a profile after fake reviews are removed.
What should a firm put in writing?
A short review policy removes most of the risk. Firm AEO suggests the following, for the firm's ethics counsel to approve.
- 1. No one at the firm or a vendor writes, edits or posts a review in a client's name.
- 2. Ask every client the same way, with no incentive tied to a rating or to a positive or negative outcome.
- 3. Staff and relatives who post must disclose the connection clearly.
- 4. The vendor contract bans fake reviews and gives the firm audit rights over how reviews are collected.
- 5. Replies to reviews follow the Rule 1.6 approval routine described in the Gemini post.
Is it okay to ask clients for reviews?
Generally yes, when the request is the same for every client and offers nothing in exchange for a particular rating. The FTC rule bars incentives tied to a review being positive or negative. State bars vary, so the firm's ethics counsel confirms the wording.
Can a law firm use AI to summarize its real reviews?
Internal summaries carry little risk. Publishing a summary as a testimonial is different, because Rule 7.1 requires that statements about the firm not be misleading, and a summary can overstate. Quote real reviews as written or leave them on the platform.
How does AI detection of fake reviews work?
Originality.ai describes its detector as a probability score, not proof. The company says it cannot determine authorship or intent and that it produces some false positives, so a flag is a signal and not a finding.
Does Quebec treat reviews differently?
Yes. Article 145 of Quebec's regulation on advertising and the Barreau du Quebec's guidance restrict testimonials a lawyer solicits. Firm AEO covers that in a separate Quebec post, and Quebec firms should rely on their own ethics counsel.
- 1.NC Lawyers Weekly, AI-generated law firm reviews: ethics and the FTC (July 30, 2025)
- 2.Federal Trade Commission, final rule banning fake reviews and testimonials (August 14, 2024)
- 3.Search Engine Land, SOCi 2026 Local Visibility Index (February 17, 2026)
- 4.American Bar Association, Model Rule 7.1: Communications Concerning a Lawyer's Services