Anonymisation · Privacy · Legal Documents
Redact reads Norwegian case notes, court decisions, and correspondence — then replaces names, organisations, addresses, and ID numbers with contextual role tags, generic labels, or plausible pseudonyms. Ready for court submission in seconds.
What you get
A deterministic first pass catches Norwegian ID numbers, phone numbers, emails, and addresses using regex patterns. The LLM then sweeps for names, organisations, places, and anything the patterns missed — combining predictability with language intelligence.
Instead of [PERSON], you get [FATHER], [JUDGE: Andersen], [SOCIAL WORKER]. Each person keeps a functional label so you can follow the narrative without knowing who they are. Names are gone; roles remain.
Download the redacted document as a .docx file in one click. No formatting loss, correct typography. Ready to attach to a court submission, share with a lawyer, or include in a complaint file.
How it works
Three steps from raw sensitive document to a clean, submission-ready redacted version.
Upload one file (PDF, DOCX, or TXT) or paste up to 128,000 characters of text. The raw content is processed in memory. Your redacted result is not retained unless you choose to save it.
Supports: case notes, court decisions, Barnevernet letters, NAV correspondence, medical records.
Choose your engine, redaction mode (Standard or Strict), regional rule set (Nordic, European, ECHR, or Global), which entity types to redact, and whether to keep official names. Add exempt names or custom aliases if needed.
E.g. keep the judge's name but redact all parties. Or replace "Ola Nordmann" with [FATHER] throughout.
The redacted text appears with all protected content replaced. Save to Min Sak for use in other tools, save to your corpus, download as .docx, or copy the text directly. Review the redaction log for a summary of what was replaced.
Download as Word → Save to My Docs → Copy text
Output formats
Choose Contextual tags to replace each person with their role — [FATHER], [JUDGE: Andersen] — keeping the narrative readable without exposing identities. Choose Generic tags for maximum anonymisation ([PERSON], [ORG]). Choose Pseudonyms to substitute plausible Norwegian names, phone numbers, and addresses throughout — useful when a human-readable document is needed.
Regional rule sets
Four regional profiles configure which identifier patterns the regex first-pass targets. The LLM pass always runs on top of whichever profile is active.
Norwegian fødselsnummer (11-digit), D-number, phone numbers (+47 format), email addresses, Norwegian postal addresses (postnummer + poststed). Default for Norwegian case material.
Adds IBAN, Swedish personnummer, Danish CPR-nummer, Finnish HETU, and UK National Insurance number to the Nordic set.
Adds ECHR application numbers, date-of-birth phrases, and ECtHR case references. Use for complaints to the European Court of Human Rights.
Adds US Social Security Number, driver's licence formats, and generic document number patterns. Use for documents involving non-European jurisdictions.
Free for Do Better Norge members. No credit card required.