AI in law firms: the compliance questions you need to answer before deploying anything

UK law firms face a specific set of AI risks that general AI guidance does not adequately address. Client confidentiality obligations, SRA regulatory requirements, professional indemnity implications, and the particular sensitivity of legally privileged information create a compliance environment that demands a more careful approach than most sectors.

This is not an argument against AI adoption in legal. The efficiency gains from well-deployed AI are significant and the competitive pressure to adopt is real. But the firms getting this right are asking the right questions before they deploy, not after.

The SRA position on AI

The SRA has been clear that existing professional obligations apply fully to AI-assisted work. The core principles — acting with integrity, maintaining client confidentiality, providing competent legal services — are not modified by the use of AI tools. What changes is the nature of the risks involved in meeting those obligations.

The SRA has also indicated that it expects firms to have considered AI risks as part of their risk management frameworks, and that failure to do so may be relevant in disciplinary proceedings where AI-related failures occur.

The five questions every law firm needs to answer

1. Where does your client data go when you use AI tools?

This is the question most firms have not adequately answered. When a fee earner pastes a client document into ChatGPT, where does that data go? Is it used to train the model? Who has access to it? What are the data retention policies of the provider?

Enterprise versions of most AI tools have stronger data protection commitments than consumer versions — but they need to be explicitly configured and the contractual protections need to be reviewed. Your firm's data protection officer or compliance team needs to have signed off on every AI tool in use.

2. How are you handling legally privileged material?

Legal professional privilege is one of the most important protections in the legal system. Inputting privileged communications into a third-party AI system raises real questions about whether privilege is maintained. This is an evolving area — but the safest position is to treat privileged material with the same caution as any other highly sensitive data, and to have a clear policy on what can and cannot be processed by AI.

3. What is your review and verification process for AI outputs?

AI hallucinations — where a model generates plausible but incorrect information — are a known risk. In a legal context, an incorrect case citation, a misstatement of a statutory provision, or an error in a contractual clause can have serious consequences. Your AI policy needs to define mandatory review requirements for AI-assisted legal work, proportionate to the stakes involved.

4. How are you disclosing AI use to clients?

Some clients will want to know if AI was used in the preparation of their work. Consider whether your standard terms need to be updated, and whether you have a clear position on AI disclosure for different types of work.

5. What happens when something goes wrong?

Your professional indemnity insurer needs to know that you are using AI tools in client work. Some insurers are already asking about AI use in renewal questionnaires. Make sure your coverage is not compromised by undisclosed AI use, and that your incident response process covers AI-related failures.

Where AI genuinely adds value in legal

With appropriate governance in place, AI can deliver significant value in legal practice: document review and due diligence, research and case preparation, drafting and precedent generation, client-facing knowledge bases, and administrative automation. The firms seeing the best results are those that have been systematic about governance first and deployment second.