AI for Legal
How AI Gets Reviews for Law Firms
Law firms get reviews by sending a brief satisfaction check and review request after matter completion — when the client's outcome is fresh and the relationship is strongest. AI sends the request automatically when the matter is closed, to Google for general visibility and to legal-specific directories for professional credibility.
Legal reviews are uncommon relative to the number of clients most firms serve. Lawyers who've helped dozens of clients through successful outcomes often have no online reviews — not because clients weren't satisfied, but because no one asked. AI review requests fix this systematically.
The review request sequence for law firms: a satisfaction check at matter close ('We're glad we could help you through [matter type]. How did your experience with our team go?'). Satisfied clients receive a follow-up with a Google review link. Dissatisfied clients are routed to the managing partner for a direct follow-up — the feedback is captured before it becomes a public negative review.
Law society advertising rules: most Canadian law societies permit client testimonials and reviews but restrict certain types of comparative advertising or guarantees of outcomes. Review requests that ask for honest feedback about the client's experience are generally permissible. Review requests should ask for experience, not outcome promises.
Common questions
Client-written reviews that describe their outcomes are generally permissible — the client is reporting their own experience. Lawyer-solicited content that guarantees or implies outcomes for future clients is a different matter and may violate law society advertising rules. The review request asks for the client's honest experience; what the client writes is their choice.
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