Run this query in ChatGPT: "Can you recommend a good employment lawyer in [your city]?"
The response, in most cases, will do one of two things. It will point you to a directory — Avvo, Martindale-Hubbell, FindLaw, Justia — and suggest you search there. Or it will name a handful of large, regionally prominent firms that are cited across enough sources that the model can mention them with confidence.
Individual small and mid-size law firms are, for the most part, invisible.
Why directories dominate
The directories have built their entire business on being the trusted recommendation layer for legal services. They rank at the top of Google for almost every local attorney query. They aggregate reviews, credentials, practice areas, and bar numbers in a format that's easy to retrieve and easy to trust.
When an AI model is asked to recommend a lawyer, it's drawing on the same sources that rank for that query. Directories are the top results for "employment lawyer in Richmond." Directories are what models point to.
This isn't going to change quickly. The directories have been building authority for fifteen years. But individual firms aren't without options.
The gap between large firms and everyone else
Regional and national firms with significant media coverage — firms that have been quoted in local business journals, profiled in legal trade publications, or involved in notable cases that generated press — do appear in AI responses. Not always by name in a direct recommendation, but as entities the model has enough information about to mention with confidence.
The difference between these firms and the invisible ones isn't the quality of their legal work. It's the thickness of their external footprint.
What individual firms can do
Get onto the major legal directories properly. Avvo, Martindale-Hubbell, Justia, and FindLaw are the platforms AI models defer to. A complete, accurate, actively-maintained profile on these platforms isn't an alternative to appearing in AI recommendations — it's currently the primary way most firms appear. A half-finished Avvo profile with no reviews is a missed opportunity.
Build a practice-area-specific presence. A firm that is specifically known for employment law, personal injury, or estate planning in a given geography is easier for a model to recommend than one that is generically present. The more specifically you're associated with a practice area and location, the more confidently a model can recommend you for those queries.
Earn local editorial coverage. A quote in a local business journal's article on a new employment law. A profile following a notable case. A mention in a bar association publication. A guest column in a regional paper about legal changes that affect local businesses. These are the citations that build the external footprint models rely on.
Ask clients for reviews. Bar rules vary by jurisdiction, but most permit client reviews on platforms like Google and Avvo that don't involve specific outcome claims. Review volume builds credibility signal. A firm with 80 Google reviews has a more established presence than one with four.
The opportunity
Most law firms have never thought about AI search visibility because they've been focused on Google rankings, referral networks, and the directory listings they've maintained for years. That's not a criticism — it's the current state.
The firms that start building their external footprint with AI visibility in mind now — through consistent press engagement, specific practice area positioning, and a complete directory presence — will have a compounding advantage as AI-assisted legal searches become routine.
It's the same as any durable reputation. The earlier you build it, the more it compounds.
Run a free audit to see how your firm appears across ChatGPT, Claude, Perplexity, and Gemini.