How should professional firms check PII cover for AI-assisted work?

Checking PII cover before AI becomes part of client delivery

Before relying on AI for client work, check whether the firm's professional indemnity terms or notification conditions address the proposed use. Tell the broker or insurer what task, data and review controls are involved, then keep their response with the policy record.

Review the policy wording, endorsements, notification terms and proposed use before putting the tool into a live matter.

Start with the work, the data and the control

Describe the task, client or matter type, input information, output and accountable professional for the broker or insurer. Include whether the tool is public, embedded in an existing platform or supplied by a third party.

Ask whether the policy has exclusions, conditions or notification duties relevant to automated processing, confidentiality, cyber events, inaccurate advice, delegated activity or novel technology. Do not assume an answer obtained for internal administration also applies to regulated or client-facing work.

Review AI risk and efficiency controls

Make the insurer conversation evidence-led

Prepare a control pack covering the approved use case, data classification, supplier terms, retention and training settings where available, access controls, human review, escalation routes and quality assurance records.

Keep written records of the questions, respondent, policy version and conditions attached to the answer. Assign an owner and due date for any actions in a conditional response.

Put a review control around every client-facing output

Define which outputs require a qualified reviewer, the checks to perform and when to redo work without AI. For legal, accountancy, advisory and insurance work, review potential client harm, confidentiality and reliance on the result when setting those controls.

Document exceptions as well as normal cases. A staff member should know when a tool is outside the approved scope, how to pause use and who can decide whether the issue needs to be raised with the insurer, client, regulator or data protection lead.

Build an evidence-led AI governance operating model

Turn the answer into an operating rule

Use the broker or insurer's response when updating the acceptable-use policy, matter intake checks and staff guidance. Link the rule to the approved-tool and use-case register, and review it when policy wording, supplier terms or the use changes.

For routine use, involve insurance, risk, data protection and delivery owners in the implementation plan. Record permitted and prohibited work, review requirements, retained evidence and the change process.

Plan a controlled AI implementation

Conclusion

Review the PII treatment of AI-assisted client work with the broker or insurer. Keep the use-case evidence and written response alongside the human quality-review records.

Need a safer AI route for your firm?

If this article reflects a live decision in your practice, the useful next step is to map the workflows, confidentiality risks, supplier controls and governance gaps before tools spread informally.

• Map AI risk and opportunity
• Put usable AI governance in place
• Roll out AI with privacy and supplier controls
• See AI support for legal services