What AI is already doing in law
AI has entered the legal profession more rapidly than almost any other professional field. Legal AI tools (Harvey AI, Casetext CoCounsel, Lexis+ AI, Microsoft CoPilot for legal, and others) can now perform contract review and redlining, due diligence document review, case law research, legal memo drafting, and regulatory compliance analysis at speeds and costs that compete with junior lawyers and paralegals. Magic Circle and US Big Law firms have invested significantly in these tools, and the Big Four accounting firms are expanding legal services practices built partly on AI-augmented legal work.
The tasks most disrupted are high-volume, process-driven legal work: reviewing thousands of documents in e-discovery, checking contracts against a defined standard, researching case law across large databases, and producing first-draft standard-form agreements. These tasks previously occupied significant billable hours for junior solicitors and paralegals.
What AI cannot do in law
AI cannot exercise legal judgment in genuinely novel situations, apply strategic thinking to litigation risk, manage complex multi-party negotiations, provide the advocacy of a skilled barrister in a contested hearing, or take professional responsibility for legal advice. Clients who face high-stakes legal matters (criminal defence, major commercial disputes, complex M&A) still require and will pay for human legal expertise and accountability.
The most AI-resistant legal work involves: courtroom advocacy (barristers' skills in reading a judge, responding in real time, and building an argument under pressure); strategic legal advice in complex, high-stakes matters; client relationships in emotionally charged situations (family law, employment disputes, criminal matters); and regulatory and policy work where judgment about intent and context matters as much as the letter of the law.
The future of legal careers
The legal profession is contracting at the entry level, where the highest volume of AI-substitutable work was concentrated, and continuing to grow at the strategic and advisory levels. This is compressing the traditional trainee-to-partner pipeline: fewer trainee positions are being filled because AI handles much of the work that trainees previously did. For lawyers entering the profession, developing AI competency alongside legal skills, specialising early in areas of genuine complexity, and building strong client advisory capabilities are the most important career investments.
Legal tech itself is a growing career opportunity: lawyers who understand both the legal domain and the technology layer are well positioned for roles in legal technology companies, law firm technology leadership, and in-house legal operations roles that use technology to scale legal services without proportional headcount growth.