What AI Means for Legal Work
Cut through the hype and understand what large language models can and cannot do in a legal context — and why that distinction matters for your practice.
In practice: Contract first-pass: 2–4 hours → 20 minutes
Your version of this lesson adapts to your role. After the 3-minute assessment, examples, scenarios, and exercises are tailored specifically to your job function and experience level.
Personalise →AI in the Legal Profession: The Honest Picture
AI tools like Claude, ChatGPT, and specialised legal AI platforms are large language models (LLMs). They generate text by predicting likely next words based on patterns in billions of documents. That simple fact explains both their remarkable utility for legal work and their very real limitations.
What LLMs Are Genuinely Useful For
- ■First-draft generation. Drafting a non-disclosure agreement, a memo, or a client communication starts with AI producing a solid foundation. You refine, not create from scratch.
- ■Summarisation. A 200-page contract can be summarised into key commercial terms in minutes. A deposition transcript becomes a structured fact summary.
- ■Pattern recognition in text. AI can scan dozens of contracts for a specific clause type, flag non-standard language, or identify missing provisions across a document set.
- ■Research starting points. AI can outline the legal landscape on an issue, surface relevant doctrines, and suggest search terms for primary source research.
What LLMs Cannot Do
- ■They cannot cite reliably. AI tools hallucinate case citations — generating plausible-looking references to cases that don't exist or that say something entirely different. Never cite a case without verifying it independently.
- ■They do not know your jurisdiction's current law. Training data has a cutoff date. Recent statutory changes, new regulations, and recent case law may not be reflected.
- ■They are not privilege-aware. The AI doesn't know which information is privileged or confidential unless you explicitly design your prompts and workflows to protect it.
- ■They cannot exercise legal judgment. Risk assessment, strategy, and advice require human legal reasoning grounded in context the AI cannot fully understand.
The Mental Model That Helps
Think of AI as a very well-read paralegal who works at extraordinary speed but must never be sent to court alone. They can do the research and drafting; you review, verify, and take professional responsibility for everything that leaves your department.
Practical Starting Point
Begin with tasks where errors are catchable before they cause harm: summarising documents you've already read, drafting internal communications, or generating initial clause checklists for your own review. Build confidence before using AI on higher-stakes external documents.
Key Takeaways
- ■LLMs predict text — they do not retrieve law or exercise legal judgment
- ■AI hallucinations are a documented risk: always verify case citations and statutory references
- ■Use AI for drafting, summarising, and pattern recognition — not for final legal conclusions
- ■Start with lower-stakes internal tasks before applying AI to client-facing work
- ■Confidentiality must be actively managed — it is not automatic
Before you practise
What is one specific task in your current role where you could apply what you just learned?
Ready to put it into practice?
Apply what you just learned with a hands-on exercise.