Contract Portfolio Batch Redaction with anonym.plus

Clean a whole folder of agreements in one local run with steady labels.

In simple terms, PII redaction is the on-device process of finding and masking personally identifiable information in a document before it is shared.

Batch redaction is the removal of PII from a whole folder of agreements in one run. A contract library is held for years because Limitation Act 1980 s.5 allows six years to sue on a simple contract, and s.8 allows twelve on a deed. UK GDPR Art. 5(1)(e) still asks you to keep personal data no longer than you need it. Redacting the working copies is how both can be true, and a batch handles up to 20 files.

When this applies

A precedent library or an audit means cleaning many agreements at once, with the same party in several. The ICO's anonymisation guidance applies a motivated-intruder test: could a reasonably competent person, using public sources, put a name back? Across a set, small clues combine, so one consistent pass matters more than it does on a single file.

How anonym.plus handles it

  1. Point anonym.plus at the folder on your machine.
  2. It scans each file for the full PII set.
  3. A shared map keeps repeat parties steady across the run.
  4. Review the summary and fix any low-confidence flags.
  5. Swap or black out the confirmed IDs.
  6. Save the clean library on your device.

What you need to provide

PII entity types detected

Categoryanonym.plus entity typeExample
PartiesORGANIZATIONparty across files → [PARTY_1]
NamesPERSONrepeat signatory → [SIGNATORY_1]
DatesDATE_TIMEdeal dates → [DATE]
BankingIBAN_CODEaccounts → [IBAN_n]
LocationLOCATIONaddresses → [ADDRESS]
ContactEMAIL_ADDRESSemails → [EMAIL]

Compliance achieved

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Limitations & cautions

A batch handles up to 20 files at a time, so split a large library into runs. Mixed folders lean on OCR for scans, so review low-confidence flags. Guard the shared map, since it can re-link the set if kept.

Frequently asked questions

What is the motivated intruder test?

It is the yardstick the ICO's anonymisation guidance uses: would a reasonably competent person with no special skills, using public sources, be able to identify someone from the released data? It is deliberately more demanding than asking whether a casual reader could. Across a batch it matters more, because clues in different files combine.

How many files can one batch take?

Up to 20 at a time, so split a larger library into several runs. Each run keeps its own steady labels across the files it covers.

How does batch mode keep one party steady?

A shared map logs each party once, so the same firm or signatory maps to one alias in every file across the folder. Guard that map: while it exists the set is pseudonymous, not anonymous.