AI is poised to fundamentally change client acquisition, intercepting those first crucial questions and conversations. Law will remain a people’s game, says Wayne Hassay, but lawyers must adopt new approaches to finding and keeping new business.
Highlights:
AI is moving the starting line of client acquisition: Consumers are increasingly turning to generative AI platforms with their initial problems, before they even realize they have a legal issue or start looking for an attorney.
AI will expand overall legal demand: More consumer questions will surface that previously stayed buried — meaning AI platforms should create new legal work, in various forms, and redirect the demand lawyers already rely on, rather than reduce it.
Strategies for securing a spot along the new path: With AI platforms fielding potential clients’ initial questions, law firms need a deliberate strategy — whether through internal platforms, optimization, curated leads or embedded affiliations — to capture clients where those first AI conversations are happening.
Inside the Questions Consumers Ask AI: A Potential Need for Your Services
Consumers ask artificial intelligence platforms all kinds of questions. Some are trivial: Why is the sky blue? How long should I cook this? Others are, well, different: My father wants to put his house in my name. My employer wants me to sign this today. My customer has not paid me. They are ordinary questions from people who may not know a legal issue is hidden inside the question.
Currently, much of the legal profession’s AI focus concerns what happens after the work reaches the lawyer. AI will improve research and drafting, reduce routine work, reshape staffing and billing, and raise questions about hallucinations, competence and professional responsibility overall. Lawyers should address all of it. But every one of those discussions assumes the lawyer already has the matter. Something that merits more attention is how AI is poised to fundamentally change client acquisition.
Let’s start with the consumer’s initial question.
When the Consumer Had to Find the Lawyer First
Historically, client acquisition was a discontinuous, multistage process. The consumer first had to recognize that a question might be legal and worth taking to counsel. Next, reputation and referrals supplied borrowed confidence, not proof that the lawyer was right for the consumer. Advertising, websites and internet search sought to create that confidence more broadly, often through noisy promises of money, justice or freedom now. Lawyers controlled how they cultivated, bought or built their presence through those methods. Even then, the consumer faced the prospect of a lawyer’s bill, uncertainty about whom to call, embarrassment, trepidation and the cumbersome process of making contact.
Only then did the critical individualized legal conversation begin, commonly through a “free consultation.” That conversation was the on-ramp to representation. The lawyer heard the question and decided whether the matter fit the practice and its economics. If it did, the lawyer framed the issue, built trust, and the relationship continued. If it did not, the consumer often received little more than a rejection. Outside legal plans, employer and association benefits, and other subscription models, useful preliminary legal attention remained difficult to provide economically at scale.
That sequence worked well enough for lawyers. Consumers who successfully navigated it and could afford legal help kept plenty of lawyers busy. Millions of others remained outside legal service, but unmet legal need created little market pressure to change the process.
This Is Not Your Grandfather’s Marketplace
AI collapses and smooths those preliminary stages of client acquisition within one platform. The consumer can begin by asking ChatGPT, Gemini or Claude what happened and what to do next before recognizing that the question is legal or looking for counsel.
At this combined stage, AI has a decided advantage.
Consumers can ask a question anonymously, easily and generally at little cost, often presenting it incompletely and out of order. Even today, AI simulates individualized attention and apparent authority. It will improve exponentially. By receiving and responding to the question, the platform can create the initial confidence once supplied by reputation, referrals and advertising. It can begin building the deeper trust that traditionally developed during the consultation.
AI becomes the critical first conversation.
That is interception.
The AI platform controls the path from the consumer’s question to counsel before a lawyer knows the question exists. Across millions of consumers, it can organize and direct legal demand at a scale no earlier method could approach.
Questions that once stayed buried will surface, while questions that once would have reached familiar lawyers will pass through those same systems. More recognized legal need will mean more potential work for lawyers, not less, even as a growing shortage of lawyers serving ordinary people continues to limit access.
Bottom line: AI will create new legal work and redirect the work lawyers already count on.
Law Will Remain a People’s Game
Despite all the ways AI will reshape legal practice, including intercepting that critical first conversation, it is not an existential threat to lawyering. When the answer to a legal question matters, and it almost always does, consumers will still want what they have always wanted from lawyers: context, judgment, duty, empathy, advocacy, explanation and accountability.
However, a lawyer may have the strongest reputation in town, years of client relationships, an excellent website, expensive advertising, a thoroughly AI-enabled workflow and all the human judgment consumers will continue to require, and yet still see fewer prospective clients. Lawyers who remain outside the systems where initial questions begin will experience a growing disadvantage.
The On-Ramp to Representation: Gaining a Client Acquisition Advantage
The strategic question for lawyers is how to secure a place in the path from the consumer’s first AI question to the human legal relationship that should follow. There are four basic approaches.
Approach: An AI platform within the firm
Some firms will buy an AI platform from a vendor, place it inside their own practice and call themselves by the vogue term of the day: AI-native. That can work, but only for a firm with the money, time and technical ability to select, implement and maintain the system while continuing to practice law. Even then, the platform merely creates a place for consumers to ask questions. The firm must still rely on its reputation, advertising and other channels to persuade consumers to bring their questions there.
Approach: Generative-engine optimization
Other firms will pursue generative-engine optimization so that large language models name-check them when consumers ask for legal help. Like search engine optimization before it, this is another form of advertising. That may produce visibility, a click or even a client. But a name-check does not carry the developing relationship to the firm; the lawyer remains only a name inside a conversation controlled by somebody else.
Approach: AI-curated leads
A third strategy is buying AI-curated leads. Another platform receives the question, develops the facts and sells or auctions the resulting opportunity to lawyers. The lawyer buys a chance to enter a conversation the platform has already begun and assumes the familiar risk that the lead itself may be questionable.
Approach: Embedded affiliations
The fourth strategy is an embedded affiliation with a technology-driven system that receives legal questions. From the outset, the system is designed to carry the consumer, the facts and the developing trust directly into a relationship with participating counsel. Any such affiliation requires scrutiny of who controls the information, when professional duties attach and whether the consumer’s communications are confidential or privileged.
The Questions Are Moving
These strategies matter because capital is building the systems now, with and without lawyers, and consumers are going to use them. Platforms that try to make AI the final legal answer may attract attention, but they leave consumers without the human judgment they still want and therefore weaken the platform’s own long-term value. The stronger model uses AI for a fast, convenient and inexpensive beginning, then carries the consumer to human counsel.
The organized bar should not treat AI as an ethical risk while underestimating its potential to expand legal demand, strengthen lawyers’ businesses and improve access to justice. If the profession responds chiefly with warnings, restrictions and discipline while billion-dollar investors build the platforms consumers use, it will allow the market to route around lawyers.
Lastly, connecting consumer questions with lawyers is merely the on-ramp to representation. As noted at the outset, much legal-AI commentary concerns what happens after the client signs up: improving workflow, productivity and efficiency. Lawyers must meet both challenges at once, for their own success, for consumer affordability and for access to justice.
The questions are moving. Go where they are, or someone else will decide whether they reach a lawyer and which one.
Image © iStockPhoto.com.
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