Privilege-preserving AI for law firms and in-house legal.

Why legal teams choose private AI

Legal work is irreducibly confidential. A privilege waiver from a careless data flow is not a small problem — it's a malpractice problem. When you send matter content through a third-party API, even a "no training on your data" promise, you've created a discovery question that you can't easily answer.

Private AI eliminates that question. Models run in your VPC, on customer-managed keys, with no path to external inference endpoints. Every prompt and response is logged with the matter ID. Privileged content stays where it belongs.

Where we focus

• Discovery: corpus review, privilege screening, responsiveness coding
• Contracts: clause extraction, playbook checks, first-draft generation
• Compliance: policy monitoring, communications surveillance, supervisor copilots
• Research: matter-grounded research with retrieval over your knowledge base
• Operations: matter intake, time-entry copilots, conflicts checks

Privilege and audit posture

• Matter-level isolation. Every project is scoped to a matter or client; cross-tenant retrieval is structurally prevented.
• Court-defensible audit log. Every model interaction is logged with timestamp, user, matter, prompt hash, and response. Retention is configurable to your firm's policy.
• No external inference. Models run on infrastructure you control. There is no API path off your environment.
• Privilege screens at retrieval. RAG pipelines respect privilege flags on documents and never surface restricted content to non-cleared users.

How we engage

Most law firms and in-house teams start with an AI Pilot on a contained matter or contract corpus. From there, Custom AI Build integrates with your DMS (iManage, NetDocs, SharePoint) and matter system, and Private AI Deployment establishes the infrastructure pattern your security team can sign off on once and reuse.