Solution · Legal
Confidentiality kept by architecture, not by policy
Use an autonomous agent without loosening professional secrecy: Swiss storage, a write-only vault, incognito turns, and a lawyer’s approval before anything outward.
monopea lets a law practice use an autonomous agent without loosening professional secrecy: client material is stored in Switzerland and processed in the EU, credentials live in a write-only vault the model can never read back, incognito turns write nothing durable, and outward actions pause as proposals for a lawyer’s approval.
Privilege is not a feature you toggle on; it is a duty that follows the data. A small practice cannot delegate that duty to a tool whose retention, residency, and action surface it cannot describe — which is why most AI in law firms today is either banned or used quietly and badly. Governed autonomy is the third option.
01
Why an ungoverned agent cannot touch client matters
An autonomous agent is an actor, not a search box. Give it an inbox and it can send; give it a document store and it can write. For a profession bound by professional secrecy, the failure mode of an ungoverned agent is not embarrassment — it is a privileged communication leaving the firm without a lawyer having decided it should. The 2026 wave of exposed self-hosted agent instances showed how quickly "autonomous" becomes "unsupervised" when governance is a system-prompt instruction instead of an external control.
The requirements are concrete: know where matter data rests, keep credentials out of the model’s view entirely, be able to work on something sensitive without leaving a durable trace, and put a human decision in front of anything that leaves the building. Each of those is an architectural property of monopea, not a usage guideline.
- Matter data stored in Switzerland, processed on EU infrastructure
- Write-only vault: a secret can be stored but never read back — by you, the API, or the model
- Incognito turns run with no durable writes for the genuinely sensitive questions
02
What the agent does inside a practice — and where it stops
In practice, the agent carries the drafting and organising load: it summarises and structures case documents you upload, drafts client letters and engagement correspondence as pending proposals, prepares research memos on the questions you frame, keeps matter context in long-term memory so you brief it once, and runs scheduled routines — deadline sweeps, status digests — without being re-asked. It works through the tools you connect via MCP rather than demanding a new stack.
Where it stops is the point of the product: anything outward-facing waits at the approval gate, where the responsible lawyer sees the exact draft and the exact tool call before it is dispatched. The vault means the model references credentials as {{secret:NAME}} placeholders and never sees the value; incognito mode covers the conversations that should not persist; and the audit trail — every proposal, approval, rejection, dispatch, signed in checkpoints — is the record that lets a firm say precisely what its AI did on a matter.
Why it matters
What it changes in practice.
01
Privilege survives the tooling
Swiss storage, a model that never sees credentials, incognito for the sensitive turns, and no outward action without a lawyer’s decision.
02
Drafts arrive, decisions stay
Letters, memos, and correspondence are prepared and held as proposals — the agent does the hours, the lawyer keeps the judgement.
03
An answer for the client who asks
When a client asks how the firm uses AI, the answer is a mechanism list with an audit trail, not a policy PDF.
FAQ
Law firms, in short.
Can an AI agent be compatible with professional secrecy?
What happens before an email or filing leaves the firm?
Is there a mode that leaves no record?
Which models see our documents?
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