Pseudonymising Criminal Witness Statements – UK GDPR-compliant anonymisation per Criminal Procedure Rules

Criminal witness statements contain the detailed personal accounts of witnesses and victims, including their names, addresses, contact details, and the personal circumstances surrounding the offence. anonym.legal pseudonymises these identifiers across witness-statement bundles, allowing criminal-law trainers, supervision solicitors, and case-review bodies to engage with the evidential content without retaining real witness personal data.

When this applies

This task applies when witness statements are used in criminal-law training exercises, legal-aid supervision audits, or case review, and the users require the substantive evidential content but have no legitimate basis to retain the witnesses' or victims' personal identifiers.

  1. Upload the witness statement or statement bundle (PDF or DOCX).
  2. The engine identifies the witness's name, address, date of birth, and contact details in the statement header and body.
  3. Personal identifiers of the witness, any named victims, and any co-witnesses mentioned in the statement are pseudonymised consistently.
  4. The factual account, exhibit references, and declaration wording are preserved in clear text.
  5. A reversible mapping table is produced with UK data residency.
  6. The pseudonymised statements are released for training or review use.

What you provide

  • Witness statement or statement bundle (all parts)
  • Exhibit list (to preserve exhibit references in pseudonymised form)

Limitations & cautions

  • Witness statements in live proceedings are subject to Criminal Procedure Rules disclosure obligations — ensure any use of pseudonymised versions is consistent with those obligations and with any court-imposed restrictions.
  • Victim personal statements carry additional sensitivity; apply careful judgement to sharing decisions even for pseudonymised versions.

FAQ

Are victim personal statements handled differently from other witness statements?

Victim personal statements are processed using the same pseudonymisation framework. Their additional emotional and personal content means pseudonymised versions should be shared only within a strictly limited training cohort.

Can pseudonymised witness statements be used in legal-aid supervision assessments?

Yes. Legal-aid supervision assessments evaluating the quality of case preparation may use pseudonymised witness statements, provided the supervisors do not require the witnesses' real identities to assess the quality of the legal work.

Does the tool detect addresses embedded mid-statement as well as in statement headers?

Yes. Addresses and personal identifiers appearing in the narrative body of a statement — as well as in the formal header — are detected and pseudonymised.

Criminal Records

About this page

We update this page when our platform or the law changes.

Read our founder note for how we work.

Each change shows up in the timestamp at the top.

We follow these rules

  • GDPR (EU 2016/679).
  • ISO/IEC 27001:2022.
  • NIS2 (EU 2022/2555).
  • HIPAA safe harbor under 45 CFR § 164.514(b)(2).

Our promise

We do not sell your data.

We do not train models on your text.

We store your files in Germany.

You can delete your account at any time.

You own your work.

Where we run

Our servers live in Falkenstein, Germany.

We use Hetzner. They hold ISO 27001 certification.

All data stays in the EU.

Backups run every day.

Need help?

Email support@anonym.legal.

We reply within one business day.

How we test

We run a full check suite on every release.

Each surface gets its own sweep script and report.

Human reviewers spot-check the output each week.

We track recall and precision on a labelled set.

Bad runs block the deploy.

What we never do

  • We never sell your information to third parties.
  • We never train models on what you upload.
  • We never keep your work after you delete it.
  • We never share keys with any outside firm.
  • We never run ads inside the product.

Plans in plain words

We sell credits, not seats.

One credit covers one short job.

Long jobs use a few credits each.

You can top up at any time.

Unused credits roll over each month.

Read the plans page for current rates.

Who built this

A small team of engineers and lawyers built this.

We ship from Europe and work in the open.

Our founder note spells out why we started.

Where to start

How the parts fit

A browser add-on cleans text inside Chrome.

A Word plug-in handles drafts in Office.

A small desktop tool works on whole folders.

An agent protocol link feeds large models safely.

All four share one core engine and one rule set.

Words from our team

We started this work after a lunch about cookies.

One friend kept getting odd ads on her phone.

We asked why a court file leaked through a draft.

We sketched the first build on a napkin that week.

By month three we had a tiny demo for a friend.

She used it on her first case the next day.

Common questions we hear

Can the tool read scanned PDFs? Yes, with OCR.

Does it work on long files? Yes, in small chunks.

Can I roll my own rule set? Yes, save it as a preset.

Does it run offline? The desktop build runs offline.

Do you keep my files? No, the cloud build wipes after each run.

Will it learn from my work? No, we never train on inputs.

A short tour of the workflow

Upload a file or paste a snippet of prose.

Pick the entities you want gone from the draft.

Choose a method: replace, mask, hash, encrypt, or redact.

Press run and watch the side panel show each hit.

Skim the result and tweak any rule that misfired.

Save the cleaned file or send it to a teammate.