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Legal

Attorney-client privilege is just the beginning.
Your firm runs on data it can't afford to expose.

Everyone talks about privilege. But a law firm's sensitive data goes well beyond that. Internal case assessments that candidly evaluate a client's position. Billing records that reveal litigation strategy and resource allocation. Partner compensation structures. Conflicts databases that map your entire client network. Merger and lateral-hire discussions. Draft pleadings that show how arguments evolved before filing. None of this is covered by privilege — and all of it would be damaging if it surfaced.

When a firm sends this kind of data through a public AI API, it lands on infrastructure the firm doesn't control, governed by terms the firm didn't negotiate. Private AI keeps your work product, your strategy, and your institutional knowledge inside your walls — where it belongs.

Your practice management and legal tech platforms are already adding AI.

Clio, Relativity, iManage, NetDocuments, Litify — every major legal platform is bolting on AI features. These tools handle core workflows: matter management, e-discovery, document management, and billing. What they don't do: give your attorneys a private AI capability that can reason across your firm's entire knowledge base — past work product, internal memos, practice-area playbooks — without routing that data through someone else's cloud. We build what fills the gaps around your existing stack, and we connect the pieces your platforms don't bridge.

By Practice Area

Every practice area has its own data risks.

Don't see your practice area? The same principles apply. Start a conversation and we'll scope what makes sense for your firm.

Every firm has a different risk profile.

Practice areas, client mix, firm size, and existing technology all shape what makes sense. We start with a conversation about what you're trying to protect and what you're trying to accomplish — not a product demo.

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