AI will redefine what makes a good lawyer 👩🏼💼
Artificial intelligence is here, and there is no turning back. That is the new reality for many (all) of us in the legal profession. No doubt. Research, drafting, disclosure review and due diligence are increasingly being supported, and in some cases accelerated, by generative AI tools. The real question for law firms is no longer whether AI will reshape legal services, but whether firms are adapting fast enough, and intelligently enough, to remain competitive.
A recent report, The AI Leadership Challenge in Law, produced in collaboration with senior leaders from various law firms, captures this shift clearly. The report argues that AI adoption in law is not primarily a technological challenge but a leadership challenge.
That conclusion mirrors broader business research recently explored by Harvard Business Review, which has increasingly focused on the behavioural and organisational realities of AI implementation, rather than the technology alone. The legal profession is now facing exactly the same issue: many firms are experimenting with AI, but far fewer are redesigning how legal work, supervision and professional judgement operate in practice.
The report identifies a tension that many lawyers already recognise instinctively. AI is becoming increasingly effective at automating structured legal tasks, yet the value of legal expertise is simultaneously shifting toward judgement, context, strategic thinking and risk evaluation.
That distinction matters.
Clients do not ultimately pay lawyers merely to generate words. They pay for judgement. They pay for accountability. They pay for someone who can interpret ambiguity, assess commercial risk and stand behind advice when the stakes are high.
This is where much of the current public discussion around AI in law becomes oversimplified. The debate is often framed as “AI versus lawyers”, when in reality the profession is moving toward AI-augmented legal practice. The report describes this as the “jagged frontier” between human and machine capabilities, an uneven, constantly shifting boundary where some tasks can be heavily AI-assisted while others still require close expert oversight.
Importantly, the report also highlights a risk that many firms are reluctant to discuss openly: the danger of overreliance on AI outputs without sufficient scrutiny. Under time pressure, professionals may begin accepting AI-generated answers too readily, particularly when outputs appear polished and authoritative.
That concern should not be underestimated.
The legal sector has already seen examples of AI hallucinations making their way into court filings and legal analysis. You can read my post about AI hallucinations here.
The problem is rarely the technology itself. The problem is inadequate supervision, poor governance and the mistaken assumption that efficiency can replace expertise.
Perhaps the most interesting issue raised by the report concerns junior lawyers and legal training. Traditionally, legal judgement was built through repetition: drafting, research, disclosure exercises and large volumes of foundational work. AI is now automating many of those tasks.
This creates a difficult question for the profession: if junior lawyers no longer learn through repetition, how do they develop the judgement that senior lawyers rely upon later in their careers?
Just to give you an example. The client wants you to use their Claude-generated 20-page document. You read it, decide that 80% is either unnecessary, irrelevant, or just outright wrong. Your representation then has 3 pages and is on point. Now, you had the skill to review the client’s proposal critically and (re)draft the final one. The future generation of lawyers may lack those skills, and that AI-generated rubbish will be sent off. There is also a high possibility that a lawyer on the other side has never developed the skill set to become a good lawyer. I am also curious about the potential conduct breaches due to lack of competence… Will it be the new ‘normal’?
There is no simple answer yet. But it reinforces a point that law firms may need to confront sooner rather than later: AI is not simply changing efficiency. It is changing the structure of professional development itself.
You can read the full report here.
