AI is increasingly becoming the first port of call for legal advice, raising questions about whether law firms can ensure their services are visible to AI-driven client referrals
A growing pattern in legal services is being examined by industry commentators: potential clients are turning to AI tools as their first step when seeking legal advice, using generative AI (AI systems capable of producing human-like text responses) to diagnose their legal problem before contacting a law firm. This shift raises a structural question for law firms of all sizes: if AI systems are shaping which firms a client considers before any human contact occurs, how do firms ensure they appear in those recommendations? The dynamic is distinct from search engine optimisation. AI models generating legal referrals are drawing on training data and, in some cases, live retrieval, rather than simply ranking websites by traffic. A firm's visibility to AI-generated legal referrals depends on the quality and breadth of its publicly available thought leadership, case results, and sector commentary, factors that differ from traditional marketing approaches. A parallel development tracked in the same reporting period involves AI being used by self-represented litigants (individuals who represent themselves in court without a lawyer, sometimes called pro se litigants) to file and prosecute legal claims. A trial is underway at Georgia's Statewide Business Court in the United States in which a plaintiff is representing himself with the assistance of AI tools. The case raises practical questions about the reliability of AI-generated legal arguments at trial and the courts' approach to AI-assisted pro se litigation. Taken together, these developments reflect a legal market in which AI is reshaping both the client journey before instruction and the conduct of litigation by unrepresented parties, two distinct but related pressures on the traditional legal services model.
Why this matters
The emergence of AI as a first-point legal adviser creates a business development challenge for law firms that goes beyond traditional marketing: firms need to consider how their public-facing content and expertise is indexed and weighted by AI systems that potential clients are consulting. This connects to a broader shift in how legal work is won, where early-stage AI triage could determine which firms are shortlisted before any human conversation occurs. The pro se AI litigation trend adds a separate dimension, as courts will increasingly need to develop standards for AI-assisted filings and the associated professional conduct questions for opposing counsel who must respond to AI-generated arguments. The US cases noted here have limited direct UK legal effect, but the client journey and courts-facing dimensions of AI adoption are live questions for UK practitioners and the FCA, SRA (Solicitors Regulation Authority), and courts system.
On the Ground
A trainee working on AI and legal practice issues would be drafting AI governance policy documents for the firm's client-facing AI tools, assisting with vendor due diligence questionnaires for AI legal research platforms, and preparing regulatory impact assessment memos on how AI-assisted client intake affects professional conduct obligations.
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