Errata sheet redaction is the removal of personal data from a deponent's list of corrections under FRCP 30(e). anonym.plus runs on your device and keeps the line, page, and change detail that it must carry.
When this applies
A deponent reviews testimony and files corrections of form or substance. Each entry quotes lines that often name people, so the IDs must be hidden before filing.
How anonym.plus handles it
- Open the file in anonym.plus on your device.
- The tool reads the line and page references plus the quoted text.
- Names and numbers in the corrections get flagged.
- Swap or black out the confirmed identifiers.
- Save the clean copy on your device.
What you need to provide
- The correction sheet (PDF, DOCX, or scan).
- An operator; Replace keeps the change wording clear.
- Optional name map to match labels used in the main record.
PII entity types detected
| Category | anonym.plus entity type | Example |
|---|---|---|
| Names | PERSON | J. Marek → [DEPONENT] |
| Reference | DATE_TIME | signed 06/04 → [DATE] |
| Identifiers | US_SSN | SSN cited → [SSN] |
| Location | LOCATION | Praxis am Markt → [PLACE] |
| Financial | US_BANK_NUMBER | acct number → [ACCOUNT] |
| Case | CASE_NUMBER | case no. → [CASE_NO] |
Compliance achieved
- Cleans the correction sheet that FRCP 30(e) lets a deponent file.
- Keeps the labels steady with the main FRCP 30 record.
- Runs offline with AES-256-GCM at rest — no relay.
Anonymize errata sheets offline — see plans & start free →
Limitations & cautions
A correction sheet quotes short lines out of context. A quoted line may hold a clue the tool cannot judge. Review each change, and keep the same labels you used in the underlying record.
Frequently asked questions
What is an errata sheet?
Under FRCP 30(e), a deponent may review the record and list changes in form or substance on a signed page. That correction travels with the deposition.
Why match labels to the main record?
If the sheet uses a different alias than the record, the two no longer line up. A shared name map keeps each person on one label across both.
Can a scanned copy be cleaned?
Yes. Local OCR reads scanned pages, so IDs in image files are caught.