Whitepaper

Adopt AI without putting client confidentiality at risk

Your firm may be ready for AI. Are your security foundations?

AI tools like Microsoft Copilot can help legal teams work faster, from legal research and drafting contracts to matter preparation and document review.

But once AI connects to your Microsoft 365 environment, it can only be as safe as the permissions, access controls and information governance already in place.

For legal firms, protecting client confidentiality isn’t optional. It needs to be built into your AI strategy from the start.

Download our latest guide for practical guidance on strengthening the governance, identity and data foundations your firm needs before making AI part of day-to-day operations.

Shadow AI is already happening

Unapproved tools may already be handling client or matter information, often outside IT’s view.

Client confidentiality is at risk

Poor permissions can expose sensitive information across matters, teams and ethical walls.

Governance needs evidence

Policies are not enough. Firms need clear controls, records and accountability.

Ad-hoc adoption does not scale

Disconnected pilots create uneven controls, duplicated effort and avoidable risk.

AI adoption doesn’t have to mean more risk. With the right foundations in place, legal firms can keep sensitive data under control while protecting client confidentiality.

Our guide sets out the practical steps legal firms should take before scaling Microsoft Copilot and AI agents, helping prepare your firm for AI while maintaining client trust.

About the author

Johnny Sheehan is Secure AI Practice Lead at CWSI, specialising in AI security, Microsoft Copilot, and secure AI adoption. A Microsoft Cyber Security Architect Expert (SC-100), Information Protection Administrator (SC-401), and Azure AI Engineer (AI-102), he helps organisations deploy AI securely while maintaining strong security and compliance.