Summary
- The UK’s Solicitors Regulation Authority (SRA) has issued warnings about AI-related risks facing law firms, specifically hallucinations and data leaks.
- AI hallucinations — where models generate plausible but false information — pose direct professional and legal liability risks in high-stakes environments.
- Data leakage through AI tools represents a significant confidentiality and compliance exposure for firms handling sensitive client information.
- The SRA’s intervention signals that regulators across sectors are beginning to formalise expectations around AI governance.
- CISOs in any industry that handles sensitive or legally privileged data should treat this as a relevant benchmark for AI use policy.
Regulator Puts AI Risk on the Record
The Solicitors Regulation Authority, the body responsible for overseeing solicitors and law firms in England and Wales, has raised formal concerns about the misuse of artificial intelligence in legal practice. The SRA’s warning centres on two distinct but related risks: AI hallucinations, where a model produces confident but factually incorrect output, and the inadvertent leakage of sensitive data through AI tools.
What the SRA Is Concerned About
AI hallucinations are a well-documented limitation of large language models. In a general business context, a hallucinated response may cause embarrassment or inefficiency. In a legal context, the stakes are considerably higher — fabricated case citations, incorrect statutory references, or invented precedents can result in professional misconduct findings, court sanctions, and direct harm to clients. The SRA’s concern is that practitioners may be placing undue trust in AI-generated content without adequate verification.
The data leakage concern is equally serious. Law firms routinely handle confidential client information, commercially sensitive documents, and in some cases, material subject to legal professional privilege. When staff input such material into AI tools — particularly those hosted externally or operating under permissive data-sharing terms — there is a real risk that confidential information leaves the firm’s control. The SRA appears to be signalling that this risk is not hypothetical.
Why This Matters Beyond the Legal Sector
Although the SRA’s remit is limited to the legal profession, the underlying risks it has identified apply broadly. Any organisation operating in a regulated environment — financial services, healthcare, government, critical infrastructure — faces comparable exposure when staff use AI tools to process sensitive information. The legal sector is simply one of the first to have a regulator articulate the concern in formal terms.
For CISOs, the SRA’s warning is a useful reference point. It demonstrates that regulators are developing concrete expectations around AI governance, and that ‘we were early adopters’ is unlikely to serve as a mitigating argument when something goes wrong. The direction of regulatory travel is clear: organisations will be expected to demonstrate that they understood these risks and took reasonable steps to manage them.
The Verification Problem
The hallucination risk is particularly difficult to manage because it is not always obvious when a model has produced inaccurate output. Unlike a system error or a clear factual gap, a hallucinated response typically reads as coherent and authoritative. This places the burden of verification squarely on the user — and by extension, on the organisation to ensure that workflows include appropriate checking mechanisms. Deploying AI without those checks is, in effect, outsourcing professional judgement to a system that does not have any.
Data Governance as a First Principle
The data leakage concern reinforces a principle that should already be embedded in AI governance frameworks: before any tool is deployed, organisations need to understand where data goes, who can access it, and under what terms. This is not a new principle — it applies equally to cloud services, SaaS platforms, and third-party processors. AI tools are not exempt, and the SRA’s warning suggests that some law firms have been treating them as though they were.
Why it matters
For CISOs, this is a signal that AI governance is moving from a best-practice conversation to a regulatory expectation. If your organisation is using AI tools to process sensitive, confidential, or regulated data — and the SRA’s warning suggests many are doing so without adequate controls — you are carrying exposure that regulators in your own sector may soon formalise. The two risks identified, hallucination and data leakage, require different technical and procedural responses, and both need to be addressed in your AI use policy before an incident or an audit forces the conversation.
What to do now
- Audit which AI tools staff are currently using, including unsanctioned or personal tools, and assess whether sensitive data is being entered into those systems.
- Review the data-sharing and retention terms of any AI tools in use to determine whether confidential or regulated information could leave organisational control.
- Establish clear policy on which categories of data may and may not be processed through AI tools, with particular attention to legally privileged, commercially sensitive, or personally identifiable information.
- Implement workflow controls that require human verification of AI-generated output before it is used in any consequential decision, document, or communication.
- Use the SRA’s published concerns as a reference when briefing leadership or the board on the business and regulatory case for formalising AI governance.
