Pseudonymising Magistrates' Court Advance Information – UK GDPR-compliant anonymisation per Criminal Procedure Rules

Magistrates' Court advance information packages disclose prosecution witness statements, CCTV logs, and summary charge particulars to defence solicitors at the early stages of summary or either-way proceedings. anonym.legal pseudonymises the personal identifiers of defendants, witnesses, and victims across these packages, enabling supervisory solicitors and case-review bodies to evaluate case strategy without unnecessary personal-data retention.

When this applies

This task applies when Magistrates' Court advance information is reviewed by supervising solicitors in a training context, by case-review bodies auditing defence preparation quality, or by legal-aid assessors evaluating case merits, and those reviewers require the evidential content but not the personal identifiers of the named individuals.

  1. Upload the advance information package (all documents) as a batch.
  2. The engine identifies defendants, prosecution witnesses, victims, and any named police officers across all documents.
  3. Each individual receives a consistent pseudonym applied throughout the batch.
  4. Charge particulars, witness evidence summaries, and procedure-stage records are preserved in clear text.
  5. A reversible mapping table is produced with UK data residency.
  6. The pseudonymised package is released for training or audit review; originals are retained under the applicable case-management regime.

What you provide

  • Magistrates' Court advance information package (all prosecution documents)
  • Defence summary or case-strategy notes (if also subject to review)

Limitations & cautions

  • Advance information is disclosed for the purpose of the specific proceedings — use of pseudonymised versions for training or research must be consistent with any obligations under Criminal Procedure Rules governing third-party disclosure.
  • The tool does not advise on the strategic merits of a defence case — obtain specialist criminal-law advice.

FAQ

Are prosecution witnesses' addresses pseudonymised as well as their names?

Yes. Addresses, dates of birth, and contact details of prosecution witnesses are all personal data and are pseudonymised in addition to their names.

Can a pseudonymised advance information package be used for legal aid means assessment?

Legal aid means assessment requires the defendant's real identity. The pseudonymised package is for training and audit review only; re-identify before any formal means or merits assessment.

Does the tool handle multi-defendant advance information packages?

Yes. Each co-defendant receives a distinct pseudonym, and the pseudonymisation is applied consistently across all prosecution materials relating to the joint case.

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.