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Industry

Legal & Professional Services

Law firms, accountancies and consultancies work with confidential client material every day. Private AI lets professionals use modern tools without risking privilege or client trust.

Attorney-client privilegeABA Model Rule 1.6SOC 2Client data agreements
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The challenge

Why AI stalls in Legal & Professional Services

Client confidentiality and privilege are foundational. Many engagement letters and outside counsel guidelines restrict how client material may be processed, and firms must be able to show that AI tools respect those limits.

Our deployment pattern

How we make it work

We deploy models within the firm's environment, integrated with the document management system and respecting matter-level ethical walls. Answers cite the documents they came from, and usage is logged per matter for billing and audit.

Use cases

Where private AI pays off first

Use case

Contract review

Flag deviations from your playbook across agreements.

Use case

Research assistant

Search precedent and internal knowledge with citations.

Use case

Matter summaries

Summarize large document sets for review.

Use case

Proposal drafting

Draft from past engagements and firm templates.

Use case

Due diligence review

Extract key terms and risks across data-room documents.

Use case

Knowledge management

Find and reuse the firm's best prior work product.

Compliance

Frameworks we design around

We don't certify you, but we build and document systems so your compliance team can map them to the rules you answer to. Every deployment ships with an evidence pack covering data flows, access control, logging, model change management and incident response.

Attorney-client privilegeABA Model Rule 1.6SOC 2Client data agreements
FAQ

Common questions

Do you respect ethical walls?

Yes. Retrieval honours the same matter-level permissions as your DMS.

Which DMS do you support?

We integrate with common platforms such as iManage and NetDocuments, and with SharePoint.

Next step

Find out what private AI would cost you.

A 45-minute call with an engineer, not a sales script. You'll leave with a rough architecture, a cost range and the next three steps.