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Guide

Practical AI for small law firms: where to start.

Larger firms are investing heavily in AI. Smaller firms can benefit just as much, often faster, as long as they manage the risks that matter in legal work. Here is a practical starting point.

Where AI helps today

These tasks suit AI well, with a lawyer reviewing the result.

  • First drafts of client letters, attendance notes and routine correspondence.
  • Summarising long documents, bundles and correspondence chains to find the key points quickly.
  • Comparing two versions of a document and listing the differences in plain English.
  • Producing plain English explanations of a process for clients.
  • Turning your own precedents and checklists into a searchable internal assistant.

The risks to manage

Legal work carries particular risks. Build these into your rules from the start.

  • Invented citations: general AI tools can produce cases and quotations that do not exist. Courts have criticised lawyers who relied on them. Always check every authority against a trusted source.
  • Confidentiality and privilege: only use tools approved for client information, with business accounts and clear data protection terms.
  • Supervision: AI output is a first draft from a junior who never tires but is sometimes confidently wrong. Review it accordingly.
  • Regulation and insurance: check the guidance from your regulator and your professional indemnity insurer on the use of AI.

A sensible way to start

Small, safe steps that show value quickly.

  1. Agree the rules

    Write a short AI use policy covering approved tools, client data and review of output.

  2. Start with low-risk tasks

    Begin with internal drafting and summarising, not advice to clients or court documents.

  3. Train the team

    Show fee earners and support staff how to write good prompts and how to check the results.

  4. Extend what works

    Measure the time saved, keep what works and move carefully to the next tasks.

Talk to us about your firm

We help small and medium law firms adopt AI safely, from policy and tool choice to training and automation.