When AI changes the work · 6 min read
Will AI replace lawyers?
How AI is changing legal work: research, drafting and review are speeding up, junior training is shifting, and lawyers stay responsible for every word.
The short answer
AI is changing legal work quickly but is unlikely to replace lawyers, because clients need judgement, advocacy, negotiation and someone accountable for advice. AI tools now speed up legal research, document review, first drafts, contract analysis and summarising. The risks are real: lawyers have been sanctioned for filing AI-generated briefs citing cases that don't exist. The American Bar Association's Formal Opinion 512 (2024) says lawyers using generative AI must understand its capabilities and limits, protect client confidentiality, check output, and bill fairly. The biggest change is to junior work, which traditionally involved the review and research AI now accelerates.
Key takeaways
- Research, review and first drafts are being transformed.
- Lawyers remain responsible for accuracy, confidentiality and fair billing.
- Junior lawyers' training work is changing most.
- Legal tech, legal operations and AI governance are growing areas.
On this pageWhich legal tasks AI is changing
Which legal tasks AI is changing
| Task | AI impact | What remains human |
|---|---|---|
| Document review and e-discovery | High | Privilege calls, strategy |
| Legal research | High | Verifying authorities, applying law to facts |
| First drafts | High | Tailoring, risk judgement |
| Contract analysis | High | Negotiation, commercial judgement |
| Advice and strategy | Low | Accountability, client relationship |
| Advocacy | Low | Persuasion, real-time judgement |
The professional rules
ABA Formal Opinion 512 sets out how existing duties apply to generative AI in the US: competence, confidentiality, communication with clients, candour toward courts, supervision and reasonable fees. Regulators in other countries, including England and Wales, have issued similar guidance. The core principle is the same everywhere: the lawyer is responsible for the output.
How junior work is changing
Juniors traditionally learned by reviewing documents and researching for hours. AI shortens that work, so firms are rethinking training: more supervised drafting, client exposure and checking AI output. Juniors who can use AI tools well and spot their errors become valuable faster.
Growing roles for legal professionals
- Legal technologist or legal engineer.
- Legal operations manager.
- AI governance and compliance specialist.
- Knowledge lawyer managing AI tools and precedents.
- Privacy and data protection lawyer.
Common mistakes
- Citing AI-generated cases without checking them.
- Entering client information into unapproved tools.
- Billing for time AI saved without considering fairness.
- Ignoring AI and losing efficiency compared with peers.
How to use AI well as a lawyer
- Use tools your firm has approved, ideally with legal-specific sources and data protections.
- Never paste confidential client information into public chatbots.
- Check every case, statute and quotation against the original source.
- Keep a record of how AI contributed to significant work.
- Explain your use of AI to clients where it affects cost, approach or risk.
Illustrative example: a trainee uses an approved AI tool to produce a first-pass summary of 300 supplier contracts for a due diligence exercise, flagging change-of-control clauses. She checks every flagged clause and a random sample of unflagged contracts, finds two the tool missed, and reports both the findings and the tool's error rate to her supervisor. The work takes two days instead of two weeks, with the checking clearly documented.
Test a future job before you train for it
A forecast can tell you which jobs are growing. It can't tell you whether you'd enjoy the work. Laddie, our AI coach, starts from the experience you already have and works through four steps with you:
- Explore: directions your experience carries into, including work that's only now taking shape as AI changes jobs.
- Try: an experiment small enough to finish this week, a small piece of the work itself.
- Learn: note which part you liked and which part you avoided, and keep it as a record of what you tried.
- Apply: when a direction turns into a job post, OffLadder CV shapes your CV for it. What you can't show yet goes back to Laddie as a short lesson, a 15-minute task and a mock interview.
Questions people ask
- Can lawyers use ChatGPT for client work?
- With care. Professional rules require competence, confidentiality and verification. Many firms use approved legal AI tools with data protections rather than public chatbots, and require lawyers to check every citation and claim.
- Will AI reduce the number of junior lawyers?
- It may reduce the hours spent on document review and research, and some firms are reshaping graduate intakes. Juniors still need training in judgement, which firms are redesigning around supervised AI use.
- Which areas of law are most affected?
- High-volume, document-heavy areas such as due diligence, e-discovery, contract review and standard drafting. Advocacy, negotiation, complex advisory work and client relationships are less affected.
- Is law still a good career?
- For people who want judgement-heavy, client-facing work, yes. Lawyers who understand AI tools and can supervise them well have an advantage.
- How much time can AI save lawyers?
- It varies widely by task. Firms report large time savings on first-pass review, summarising and standard drafting, but checking output takes time too. The real saving depends on how well the tool fits the task and how carefully its output must be verified.
- Are clients asking lawyers to use AI?
- Increasingly, yes. Many corporate clients expect efficiency gains to show up in fees and ask how firms use AI, protect data and check output. Some include AI clauses in panel agreements and engagement terms.
- Will AI make legal services cheaper?
- For some standard work, such as simple contracts, document review and routine advice, prices are already under pressure as AI reduces the time involved. Complex, high-stakes work is likely to stay expensive, because clients pay for judgement and accountability rather than hours of typing.
Exercises are practice, not evidence of career fit or a qualification. How to read our guides and report a correction.
Sources
- Formal Opinion 512: Generative artificial intelligence tools · American Bar Association
- Generative AI and Jobs: a global analysis of potential effects on job quantity and quality · International Labour Organization
- Future of Jobs Report 2025 · World Economic Forum
How this page is written
Sources support the factual background, not a guarantee that an exercise predicts career fit. Fictional practice material is labelled. Dates record content updates; no independent expert review is implied. More about OffLadder.