Below is a walk-through on fake sample data. The "Ask Claude" step sends only the redacted sample to the Lab's key, so it's demo-only, don't paste real client data here. To use it on real files, download the offline copy: a single file that runs fully offline, nothing leaves your machine.
You paste text. The tool reads it on your own computer and looks for things that identify a person or business: names, Social Security and tax ID numbers, account numbers, emails, phone numbers, and addresses. It swaps each one for a neutral placeholder like [Person_1] or [SSN_1], and keeps a small private list (the "local key") matching each placeholder back to the real value. That list never leaves your machine.
You take the placeholder version to your AI tool, get your answer, then paste the answer back here. The tool uses your key to put the real names back in, right in this browser.
What it catches reliably: structured items with a clear pattern, like SSNs, EINs, emails, phone
numbers, account numbers, and labeled ID / license / passport / policy numbers.
What it can miss: names, business names, and addresses are educated guesses, so it will
occasionally miss one or redact too much. That is why you read the result yourself before sharing.
What it does not do: it does not make the amounts and dates anonymous, and it does not decide
whether your AI tool is allowed to receive the data. Those are still your calls.
This key is stored only on your local machine and never goes to the cloud. It is what's used to bring the AI's answers back and re-apply them to the original client, swapping tokens like [Person_1] back to the real names, right here in your browser.
| Token | Type | Original value |
|---|