Share the context, not the confidential.
Your team wants to use AI on real client documents. The AI Vault lets them, without a single real name, client, or number ever reaching the model. It works on a synthetic twin while your real data stays sealed.
To use AI, someone hands over the real thing.
Every time a document goes into ChatGPT, Claude, or Gemini, the real contents leave your control. For a firm holding privileged data, that is the leak.
Retained and trained on
What your team pastes in can be stored and used to improve the model. Your client's matter quietly becomes someone else's training data.
Out of your control
It now lives on a vendor's servers, under their terms, their breaches, and their retention, not yours. You cannot pull it back.
Privilege at risk
Handing confidential facts to an outside model can waive privilege and put them within reach in discovery. That is hard to undo.
No record of what left
There is no log of what was shared, so you cannot answer a client, an insurer, or a regulator who asks what the AI saw.
Block it or leak it. Neither is acceptable.
Ban the AI
Lock the tools down and your team falls behind, or quietly pastes client data into personal accounts where you have no visibility and no record.
Allow the AI
Let them use it and your clients' confidential facts leave the building, retained on servers you do not own and cannot pull back.
Sidian refuses the trade. You get both.
Keep the real data in the vault.
Hand the AI a synthetic twin.
Same structure, same logic, fake identifiers. The model does the work and never sees a real name.
Engagement letter for Sidian Inc. Primary contact Ben Reichwein ([email protected]). Matter: acquisition of Northgate Labs for $2.4M, closing Mar 3, 2026. Retainer from acct 4471-8890.
Held where it already lives. No model ever reads this.
swap & seal
Engagement letter for ABC Corp. Primary contact John Doe ([email protected]). Matter: acquisition of Vertex Systems for $2.4M, closing Mar 3, 2026. Retainer from acct 0000-0000.
Same structure, same logic, zero real identifiers.
| Sidian Inc. | ABC Corp | |
| Ben Reichwein | John Doe | |
| [email protected] | [email protected] | |
| Northgate Labs | Vertex Systems | |
| 4471-8890 | 0000-0000 |
The same value always maps to the same stand-in, in every document. So your AI can still connect the dots across an entire matter, and it never learns who the parties really are. Only your firm holds the key to reverse it.
Watch one identifier:Ben ReichweinJohn Doenever changes what the sentence means.
Three steps. Your team keeps the AI they already like.
Point the Vault at your documents
Connect the tools your files already live in. The Vault reads them where they are. Nothing is relocated and no second copy of the originals is kept.
It builds a synthetic mirror
Sidian's own private models find every name, client, email, and identifier and replace each with a consistent stand-in. The real values are sealed and the document's structure is left untouched.
Your AI works on the mirror
Connect Claude, ChatGPT, or Copilot to the Vault. They read the synthetic twin, do the work, and the answer resolves back to your real values on your side only, when a person reviews it.
Not redaction. Not a ban. A working stand-in.
Redaction leaves holes
Black boxes over words break the model's reasoning, and it guesses around the gaps. A realistic stand-in keeps the sentence whole, so the answer is whole too.
A ban kills the use case
Lock the tools down and your team falls behind, or works around you in personal accounts you cannot see. Synthetic keeps them fast and inside the guardrail.
Consistent, reversible only by you
The same value maps to the same stand-in everywhere, so the model reasons across the whole matter. Only your firm holds the key back to the real names.
The promises that do not move.
Real values never leave
No frontier model ever receives a real name, client, email, or account number. It only ever sees the synthetic twin.
A human resolves the result
Stand-ins map back to real values only when your reviewer approves the AI's output, on your side. Judgment stays with your people.
Every read is logged
The Vault keeps a record of what was de-identified and what each tool saw, so you can always show a client or insurer exactly what happened.
Nothing confidential leaves your firm. And you can prove it.
The AI Vault is part of the Sidian DataGuard platform, the same engine that protects what your firm shares with people and with the outside.
Simple, per seat.
FAQ
No. The Vault preserves structure, relationships, and every non-identifying detail, and it keeps each stand-in consistent across your documents. The model reasons exactly as it would on the originals. It simply never learns the real names behind them.
The ones your team already wants to use, including ChatGPT, Claude, and Microsoft Copilot. The Vault hands them a synthetic twin instead of the real document, so the tool works normally and the sensitive values never reach it.
You choose. Identifiers like names, emails, and account numbers are always swapped. Amounts and dates can be kept as they are when the analysis needs them, or shifted consistently so no real figure is exposed. Whatever you pick stays consistent across the whole set.
Yes, and only your firm can. The map between real values and stand-ins lives on your side. When a person reviews the AI's output, the stand-ins resolve back to the real names automatically. Nobody outside your firm can reverse it.
Where it already does. The Vault reads your files in place and never keeps a second copy of the originals. The de-identification runs on Sidian's own private models, never a third-party AI, and the real values are never stored alongside the analysis.
No. Redaction removes information and leaves holes the AI has to guess around. The Vault replaces each identifier with a realistic, consistent stand-in, so the document still reads and reasons like the original. You keep the context and lose only the exposure.
Same engine, different job. DataGuard removes sensitive information before a document leaves your firm to a person. The AI Vault de-identifies it so a model can work on it and hand the results back. Many firms use both.
See it work on your own documents.
Book a quick call with Ben, Sidian's founder. Bring a document from your practice and he'll show you the synthetic twin the AI sees, and prove your real client data never leaves. No slides, no sales pitch.
15 minutes, no commitment.