Same engine. Six kinds of work it shows up for.
We run one detection model in your browser. What changes is the file you open in the morning and the regulation that sits behind it.
Lawyers
Privilege ends where a public LLM begins.
Drop a draft contract, pleading, or correspondence into the editor. We flag client names, opposing counsel, addresses, SIN, file numbers, and settlement amounts. Accept what you want, redact in one pass, and either share the static PDF or send tokenized text into Claude or ChatGPT for a second read.
- Detection covers client and counsel names, addresses, SIN, postal codes, phone, email, and account numbers.
- Reversible tokenization recovers the original from the redacted file with a passphrase only you hold.
- Bilingual at the engine. French pleadings and English contracts run the same model.
- PIPEDA and Quebec Law 25 documentation provided on enterprise request.
Healthcare
PHI never reaches the summarizer.
Clinical notes, discharge summaries, and referral letters are the files most likely to end up in a chat window at 7 a.m. We strip names, dates of birth, health card numbers, addresses, and phone numbers before any AI pass, and keep the clinical context the model actually needs.
- Strips names, DOB, health card numbers, phone, email, and addresses.
- Reversible only by the clinician who holds the passphrase.
- HIPAA aligned controls, signed BAA, on-prem LLM bundle available in the enterprise tier.
Public sector
ATIP, briefing notes, and the Privacy Act.
Federal and provincial teams handle documents where a misrouted line draws scrutiny. We run in the browser under the same rules in English and French, hold nothing of the file binary, and ship with Canadian residency on every byte we do hold.
- Bilingual detection on the same engine. Output parity guaranteed.
- Document binary never reaches our server.
- Canadian residency on the roadmap for every byte we hold.
- Privacy Act and Quebec Law 25 documentation provided on request.
Recruiters
Score the qualifications. Not the candidate.
We strip identifying detail from a stack of CVs before they reach an AI ranker. Names, contact details, postal codes, and graduation dates come out. Education, experience, and skills stay in.
- Batch processing for an entire CV pile in one session.
- Custom rules for the fields your ATS exports.
- Reversible tokenization brings the candidate back when needed.
- Bias mitigation as a byproduct of redaction.
Consultants
Reuse the analysis. Not the client identity.
Take a deliverable from one engagement and make it shareable for the next pitch. We remove client names, project codes, internal contact details, and identifying numbers while keeping the structure and argument intact.
- Strips client names, addresses, contact details, and internal identifiers.
- Multi-PDF batches for sanitising an entire engagement folder.
- Reversible tokenization for the consultant. Static PDF for the external audience.
Financial services and accountants
SIN, account numbers, and T-slips before the AI pass.
Tax returns, account statements, and KYC files carry the densest concentration of identifiers in any document on the desk. We strip SIN, account and routing numbers, T4 and T1 detail, and contact information before a line reaches an AI tool.
- Detects SIN, credit card numbers, account numbers, postal codes, and contact detail.
- Reusable custom rules for the fields your firm processes most often.
- Reversible tokenization keeps client review possible without exposing identifiers.
- PIPEDA and Quebec Law 25 documentation provided on enterprise request.
One engine. Six kinds of work.
Free while in Research Preview. No card, no account to start.