Reviewing detected PII before you export

What Lex Redactus detects

Ten entity types: people, organizations, locations, addresses, SSNs, phone numbers, emails, case numbers, account numbers, and parcel IDs. Detection is multi-pass (a neural NER model plus pattern libraries tuned for legal documents) and runs on your computer.

Why review matters

No detector catches everything, especially on scanned or all-caps text. A missed name is the failure this tool exists to prevent, so the app puts you in the loop before anything is exported. Human review is the safety gate. Treat the suggestions as a high-recall starting point, not a final answer.

Confirm, edit, or add

• Confirm a suggested entity to include it in the redaction.
• Add a missed entityby selecting any text in the document and marking it as the appropriate type. That's useful for names in captions or scanned pages the model may under-detect.
• Relabel an entity if its type is wrong (e.g. an organization tagged as a person).

Removing a false positive

Click the ×next to an entity you don't want redacted. You'll be asked whether to suppress it just on this document or across the entire matter. The Don't-Tag list is matter-scoped and you can revisit it any time from the matter settings.

If a document was scanned (OCR)

When the text came from OCR, the app flags it. Review those pages carefully, because scanner errors and unusual formatting (all-caps captions, names split across lines) can lower detection quality. When in doubt, add the entity manually.

A quick pre-export checklist

1. Every party in the caption is detected (plaintiff, defendants, counsel).
2. Identifiers are caught: SSNs, account numbers, case numbers, addresses.
3. No real name remains visible in the tokenized preview.
4. Anything you excluded was excluded on purpose.