AI & Law · Cornerstone explainer

The next interface between a client and a lawyer may be an AI conversation.

For twenty years, digital legal marketing has largely revolved around being discoverable in search. That model is not disappearing. But another interface is becoming important.

01

Search and recommendation are not the same thing

Search engines

Organise and present choices

  • Organise information
  • Present a list of options
  • Leave the comparison to the client

AI systems

Synthesise an answer

  • Explain the issue
  • Suggest the kind of lawyer required
  • Shortlist and compare firms
  • Sometimes make a direct recommendation

Search engines traditionally organise information and present choices. AI systems can synthesise information into an answer. In legal discovery, that answer can explain the issue, suggest the kind of lawyer required, shortlist firms, compare them and sometimes make a direct recommendation.

Definition

The emerging AI referral layer

I use this phrase for the point at which an AI system helps narrow or shape a person’s choice of professional. It is an additional layer of intermediation, not a claim that AI has replaced search or human referrals.

02

Why law firms are an interesting case

Information asymmetrySpecialist expertiseJurisdictionReputationHigh-value instructionsProfessional regulationTrustThird-party information

Legal services combine information asymmetry, specialist expertise, jurisdiction, reputation, high-value instructions, professional regulation, trust and substantial third-party information. A prospective client often does not even know what legal category their problem belongs to.

Conversational AI is unusually well suited to translating a messy factual situation into a structured question.

03

AEO, GEO and the terminology problem

AEOGEOAI SEOLLM optimisationAI visibility

The industry uses AEO, GEO, AI SEO, LLM optimisation and AI visibility. I use these terms when useful, but I’m less interested in winning the naming argument than in understanding the behaviour underneath them.

When a prospective client asks an AI system for legal help, does your firm enter the answer — and if it does, why?
04

What law firms should resist

If you are being sold any of these, ask for the evidence.

  • Guarantees of ChatGPT rankings
  • Permanent AI positions
  • Tactics unsupported by evidence
  • Assuming every platform behaves identically
  • Treating one screenshot as proof of visibility
  • Confusing mentions with recommendations
  • Confusing correlation with causation
05

What is worth doing now

  1. Measure current visibility

    Establish a baseline across relevant markets, practice areas, prompts and AI systems.

    With FirmRankerFree AI visibility check→
  2. Improve entity clarity

    Make it easy to understand who the firm is, where it operates, who its lawyers are and what it is genuinely known for.

    With Practice ProofGet help with the foundations→
  3. Build evidence of expertise

    Move beyond generic claims. Publish useful, attributable evidence.

  4. Strengthen third-party authority

    Understand where credible information about the firm exists outside its own domain.

  5. Test rather than assume

    Make changes, measure again and learn.

    With Law By DanHow we measure→