You've spent years getting confidentiality right — ethical walls, matter access, need-to-know. We make sure your AI upholds it: fine-grained authorization, checked per person and per document, before the AI answers.
Diligence closed Friday. Two items remain open in the deal room: the indemnity cap and the revised covenant language.
The matter is active. Case notes and the latest client letter are summarized below.
Matter files, deal rooms, client records — the access controls that protect them today don't automatically carry over to AI. Unless authorization is designed in, three gaps open up:
Out of the box, it returns the most relevant answer, not the most allowed one. Ask the right question, and a first-year sees the partners' deal memo.
Many setups check permissions after the AI has already read the data. By then it's in the answer — reworded, summarized, leaked.
Agents often run with all the permissions of the person using them. One malicious instruction, and they can read — and send — anything that person could.
Not a guideline the AI is asked to follow — a built-in check it cannot skip, at the finest grain: this person, this document, right now. If someone isn't allowed to see a file, neither is their AI.
Broad roles like "employee" or "manager" are too blunt for AI. We model who can see what down to the individual document — teams, clients, delegation, need-to-know.
The check runs inside the search itself. Off-limits data is never fetched, so it can't end up in an answer — no matter what anyone asks.
Agents get their own scoped identity with only the access a task needs — never a person's full account. If one is tricked, the damage stops there.
Fixed-scope consulting engagements. Every one ends in working architecture, not a slide deck.
Your AI answers from company documents without ever exposing what someone shouldn't see.
Ask about this →AI agents that act on your systems get exactly the access a task needs — and nothing more.
Ask about this →When roles and groups stop matching how people actually share, we migrate you to document-level permissions — without breaking production.
Ask about this →A structured audit of your AI setup: what data it can leak, what your agents can be tricked into, and what to fix first.
Ask about this →Law firms, banks, asset managers, and financial-services teams bringing AI to privileged client data — where ethical walls, matter access, and need-to-know aren't policies, they're obligations.
We come from aviation systems and international intelligence work with governments and law-enforcement agencies — environments where "usually secure" was never an acceptable answer.
We hold your AI systems to the same standard.
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