Anonymising Crown Court Committal Bundles for Legal Research – UK GDPR-compliant anonymisation per Criminal Procedure Rules

Crown Court committal bundles aggregate prosecution evidence, defence statements, and pre-trial review records for indictable offences, collectively carrying the personal data of defendants, witnesses, victims, and expert witnesses across hundreds of pages. anonym.legal pseudonymises all natural-person identifiers in the bundle so legal researchers, training providers, or case review bodies can analyse the evidential structure without exposing individual personal data.

When this applies

This task applies when Crown Court bundles are used for training, legal research, case review, or precedent analysis, and the users of those bundles require sight of the evidential and procedural content but have no legitimate need to process the personal data of the named defendants, witnesses, or victims.

  1. Upload the Crown Court committal bundle — including prosecution opening, evidence schedules, and pre-trial review records — as a batch.
  2. The engine identifies all natural persons: defendant(s), named witnesses, victim(s), expert witnesses, and named counsel and judiciary.
  3. Each individual is assigned a distinct, consistent pseudonym applied uniformly throughout the bundle.
  4. Evidential content, legal arguments, procedural records, and exhibit references are preserved in clear text.
  5. A reversible mapping table is produced with UK data residency.
  6. The pseudonymised bundle is released for training or research use; originals are retained under the applicable court-records regime.

What you provide

  • Crown Court committal bundle (all parts, PDF or DOCX)
  • Exhibit index (to preserve exhibit references in pseudonymised form)

Limitations & cautions

  • Court bundles are subject to restrictions on use imposed by the court and by Criminal Procedure Rules; ensure any use of the pseudonymised bundle is consistent with those restrictions.
  • Victim personal data in Crown Court bundles is subject to additional protections — pseudonymisation satisfies data-minimisation but does not override any court-imposed reporting or use restrictions.
  • The tool does not assess the legal admissibility of evidence or the procedural correctness of bundle contents.

FAQ

Do Criminal Procedure Rules impose restrictions on sharing Crown Court bundle contents?

Yes. Criminal Procedure Rules govern disclosure and use of materials in criminal proceedings. The pseudonymised bundle is suitable for training and research purposes but must not be used in a way that contravenes applicable court orders or CPR disclosure restrictions.

Can the pseudonymised bundle be used for legal training at a law firm?

Yes. This is a primary use case. The pseudonymised bundle preserves the evidential and procedural structure needed for training exercises without exposing the personal data of real defendants, witnesses, or victims.

Are expert witnesses pseudonymised as well as lay witnesses?

Yes. All named natural persons — including expert witnesses and named counsel — are pseudonymised. Their professional roles and the substance of their evidence or submissions are preserved.

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.