Private AI for law firms: protecting attorney–client privilege

The confidentiality question

Lawyers owe clients confidentiality, and privilege can be put at risk by careless disclosure to third parties. Bar guidance on generative AI generally asks lawyers to understand where client information goes, protect it, and supervise the tools they use.

Where public and SaaS AI create risk

• Client documents pasted into prompts leave the firm.
• Vendors may keep logs and use sub-processors.
• Permissions inside the firm, such as ethical walls, aren't known to the tool.

What a private deployment gives you

1. No disclosure to an AI vendor: models, documents and logs run on the firm's infrastructure.
2. Matter-level permissions: carried from the document management system, so walled content never reaches the wrong people.
3. Lawyer approval: AI drafts and flags; a named lawyer decides.
4. Audit: who asked what, which documents were used, what was produced.

Good first uses

• Precedent and clause search across past matters.
• Contract review against the firm's playbook.
• Know-how assistants over templates and internal memos.
• Deadline and obligation extraction into a tracked register.

See also our legal industry page and Legal team page.