The legal profession has spent the past few years talking about technology as if transformation were something that happened to software. New models arrive, firms announce new tools, lawyers learn new interfaces, and another task that once took an afternoon can suddenly be completed in minutes. Yet beneath all of this technological acceleration lies a quieter and more difficult question: what happens to the people who are expected to work differently because of it?

This may ultimately prove to be the more important story.

Artificial intelligence is no longer an interesting experiment at the edges of legal practice. It is becoming part of ordinary professional life. Lawyers use it to search, summarise, draft, compare, organise and analyse. Firms are investing in technology not simply because it is fashionable, but because clients increasingly expect the benefits of AI-enabled work. According to Thomson Reuters’ 2026 research, 74% of professionals now use AI several times a week, while 32% of in-house legal professionals say they are reconsidering relationships with firms that cannot demonstrate clear AI-enabled value.

But efficiency is only the beginning of transformation.

The more consequential change is taking place in the relationship between technology and professional development. For generations, young lawyers learned the profession through repetition. They read the documents, reviewed the contracts, searched the authorities, prepared the first draft and slowly learned to recognise the difference between an answer that is merely plausible and one that can withstand scrutiny. Much of this work was routine, sometimes painfully so, but routine was also how experience accumulated.

AI changes that equation.

If machines increasingly perform the work through which junior lawyers once acquired their first practical instincts, the profession faces a problem that cannot be solved by buying better software. Who teaches the next generation how to exercise judgment when the traditional path towards judgment is being automated?

This is not an argument for preserving inefficient work simply because lawyers have always done it. Nor is it a reason to resist technology. The opposite may be true. AI can remove an enormous amount of friction from legal work and allow lawyers to spend more time on analysis, strategy, negotiation and client relationships. The question is whether firms will use that additional capacity deliberately, or simply use it to produce more work, faster.

The distinction matters because being a lawyer has never been only about producing legal text.

Clients rarely come to lawyers because they need another document. They come because something matters to them: a company is being acquired, a dispute threatens a business, a new regulation creates uncertainty, a reputation is at risk, or a decision has consequences that cannot easily be reversed. In those moments, technical knowledge is necessary, but it is not sufficient. Someone has to understand the circumstances, weigh competing interests, recognise what the client is not saying, explain uncertainty and ultimately accept responsibility for the advice given.

Those functions become more valuable, not less, as machines become better at producing answers.

This is where the human side of legal transformation becomes difficult to measure. A machine can improve the speed of research. It is much harder to measure the value of a lawyer who knows when not to rely on the answer. A system can identify a contractual risk. It cannot take responsibility for the decision to proceed. A model can generate ten possible arguments in seconds. It does not have a client sitting across the table whose business, reputation or future depends on choosing the right one.

Judgment remains human not because technology is incapable of producing sophisticated outputs, but because professional responsibility cannot simply be delegated to a machine.

That distinction is already beginning to influence the way firms think about talent. Thomson Reuters reports that 48% of legal professionals are concerned about AI’s effect on the development of independent judgment, while legal professionals expect the path to trusted judgment to become longer. The irony is striking: technology may make lawyers faster while making the process of becoming a genuinely experienced lawyer more difficult.

This is why legal transformation should not be measured only by productivity.

A firm can introduce an impressive AI platform and remain essentially unchanged. Another firm may use relatively modest technology but redesign the way its lawyers learn, collaborate, price work and advise clients. The second firm may be undergoing the deeper transformation.

The difference lies in whether technology is being treated as a tool or as a reason to rethink the organisation around it.

That rethink extends beyond law firms. It reaches law schools, professional training, recruitment, billing, management and the relationship between lawyers and clients. If routine work becomes less valuable, firms will have to decide what they want their young lawyers to learn instead. If efficiency reduces the number of hours required for certain matters, clients will eventually ask why they should continue paying for time rather than value. If AI becomes available to almost everyone, the competitive advantage may shift away from access to technology and towards the ability to use it with judgment.

In that world, the most valuable lawyer may not be the one who knows the most things. It may be the one who knows which things matter.

This does not make the future of the profession less human. It makes the human element more visible.

The irony of legal technology is that the better machines become at performing the mechanical parts of legal work, the more clearly the profession has to define what remains distinctly human. Trust. Responsibility. Persuasion. Empathy. Context. Professional judgment. The ability to sit with uncertainty and still help someone make a decision.

These are difficult qualities to automate because they are not simply outputs. They are relationships.

The legal profession therefore faces a transformation that is as much cultural as technological. It must decide not only which tasks machines should perform, but what kind of professionals it wants to produce when those tasks disappear. It must decide whether the time saved by AI will create better lawyers or simply busier ones; whether technology will deepen access to legal services or reinforce existing advantages; and whether efficiency will become an end in itself or create room for a more thoughtful form of professional practice.

Those decisions will shape the profession far more profoundly than any particular AI model.

The future of law will certainly be more technological. But the central question is not how much technology the profession can absorb. It is what kind of profession it wants to become once technology has changed what humans no longer need to do.

That is the human side of legal transformation.

And, ultimately, it may be the side that matters most.

Petar Protić
Editor-in-Chief, Lexplorium

Image: cottonbro studio