A lawyer may be trusted by clients and respected by colleagues, yet remain unknown to a business owner who has never worked with them. How will that owner recognise the lawyer’s expertise before deciding whom to approach?
Consider an Indian company facing an electricity-regulatory dispute involving tariff treatment, contractual exposure and regulatory procedure. It needs counsel who understands how these issues interact. An AI assistant produces a shortlist of lawyers based on available information. The company has yet to speak to any of them, but its initial choices have already been shaped.
This is a hypothetical scenario, not a prediction that AI will become the principal way clients find lawyers in five years. But what happens when a lawyer’s reputation is interpreted by someone who has never experienced their work?
This is critical because a reputation built through professional relationships does not necessarily retain its full meaning when encountered outside them.
How Reputation Changes Across Audiences
Legal reputation develops through experience.
A general counsel may trust a lawyer because of how an earlier dispute was handled. A colleague may recommend someone whose judgment has proved reliable under pressure. A client may value a lawyer’s ability to connect legal advice with commercial realities.
These relationships reveal qualities that a list of credentials cannot fully convey. They show how a lawyer thinks, exercises discretion and responds when circumstances become difficult.
An unfamiliar client has different evidence to work with: professional credentials, courtroom experience, institutional affiliations, published analysis or a referral. Their significance varies across India’s legal market. A company seeking specialist regulatory advice may look for sectoral understanding, while an individual seeking representation in a local court may rely more heavily on a trusted introduction and experience with comparable matters.
A lawyer can therefore be well regarded within one professional network and still be difficult to assess outside it. The challenge is understanding what that reputation rests on when the client lacks the context that colleagues and previous clients have accumulated.
AI-assisted discovery could widen this gap by introducing another intermediary between a lawyer’s work and a prospective client’s understanding of it.
When Evidence Stands in for Expertise
Clients rarely have enough information to assess a lawyer’s competence before engaging them. They rely on signals such as referrals, relevant experience, credentials and explanations that demonstrate an understanding of the problem.
Behavioural science helps explain why. When decisions are complex and direct evaluation is difficult, people use proxies to reduce uncertainty. These can be useful, but their value depends on how reliably they indicate the quality being assessed.
An AI-assisted search could become another source of such signals. A system might identify lawyers whose publicly available information appears relevant to a client’s problem. But relevance does not establish suitability.
Research published by Pew Research Center in July 2025 found that users were less likely to click traditional Google search results when an AI-generated summary appeared. The study examined general search behaviour in the United States, not how Indian clients choose lawyers. It nevertheless illustrates how the presentation of information can influence whether people investigate its sources.
Consider two lawyers. One has handled sensitive regulatory matters for years, but confidentiality limits what can be discussed publicly. The other has published extensively on the relevant subject. Those publications may demonstrate knowledge, but they cannot establish which lawyer would exercise better judgment in a particular case.
A shortlist can make potential counsel easier to identify. Assessing suitability still requires scrutiny of relevant experience, judgment and the demands of the matter.
Discovery Within India’s Professional Boundaries
For Indian advocates, changing discovery mechanisms must be understood within the rules governing professional communications.
Rule 36 of the Bar Council of India Rules restricts advertising and solicitation by advocates, subject to applicable provisions permitting limited information on websites.
Changing search technology does not, by itself, change these obligations. Nor does every online profile or published analysis automatically constitute prohibited promotion. The form, context and purpose of a communication can matter, so any effort to improve professional visibility must remain within the applicable rules.
The distinction is important because some valuable aspects of legal practice are difficult to demonstrate publicly. Confidentiality, discretion and the ability to understand a client’s commercial position may become apparent through professional relationships rather than published material.
A prospective client without access to those relationships must make an initial assessment using the evidence available. A search system can organise information, but it cannot supply context that the information does not contain.
From Reputation to Trust
The process can be understood through five elements:
→ Expertise: What the lawyer brings to a matter.
→ Evidence: What others can use to assess that expertise.
→ Discovery: Whether they encounter that evidence.
→ Interpretation: How they understand and evaluate it.
→ Trust: Whether they develop confidence in the lawyer’s suitability.
A trusted referral may establish confidence before an online search, and direct engagement may change an initial impression. The sequence is therefore not universal. Its value lies in distinguishing a lawyer’s actual competence from the information available about it and the conclusions others draw.
AI-assisted discovery may influence how evidence is found and interpreted. It cannot guarantee that the information is complete or that the resulting judgment is sound.
These limitations matter because the qualities that make a lawyer effective often emerge through professional conduct and engagement, rather than through discovery alone.
Making Expertise Easier to Recognise
If professional reputation is increasingly encountered through brief profiles, search results or AI-generated summaries, lawyers have reason to think carefully about how their expertise is represented.
That begins with clarity about the problems they are equipped to handle. Permissible professional information, thoughtful analysis and contributions to legal discourse can help others understand the nature of their work. The value lies in the substance and context these contributions provide, rather than visibility alone.
This is where strategic communications has a role. It connects professional expertise with the information audiences need to interpret it. The task is to make relevant expertise more intelligible while respecting confidentiality and the profession’s rules on advertising and solicitation.
Such efforts cannot guarantee that a lawyer will be discovered, recommended or selected. They can, however, make the available evidence more useful to someone trying to assess whether that lawyer is suited to a particular matter.
The Reputation Question
By 2031, Indian clients may use a wider mix of referrals, search engines, legal directories and AI assistants to find lawyers. How much these channels influence their choices will vary, but the importance of trusted relationships is unlikely to disappear.
The challenge arises when a reputation travels beyond the people who know a lawyer’s work. A colleague may understand a lawyer’s judgment through years of experience. An unfamiliar client may have only a brief description to go by.
A lawyer’s reputation may take decades to earn. A first impression can form in seconds.
As the ways clients find lawyers change, how can the profession ensure that the reputation people encounter reflects the expertise they actually need?
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