Third-party witness materials: pseudonymise before sharing with instructed experts – UK GDPR-compliant anonymisation

Civil proceedings often involve third-party witness materials — statements, medical records, police reports — obtained from non-parties; anonym.legal pseudonymises the personal data in those materials before they are shared with instructed experts or counsel, limiting unnecessary data exposure at the analysis stage whilst preserving the factual and evidential content.

When this applies

Applies when a solicitor has obtained third-party witness materials through CPR Part 31 disclosure or otherwise and wishes to share them with an expert or counsel without transmitting more personal data than is necessary for the professional instruction.

  1. Upload third-party witness materials (statements, records, reports) in PDF or DOCX.
  2. Identify which individuals must remain named in clear for the expert's purposes (e.g. the named claimant in a medical report).
  3. anonym.legal pseudonymises all other personal identifiers — third-party witnesses, bystanders, treating clinicians not central to the instruction.
  4. Factual content, medical findings, and evidential narrative are preserved in full.
  5. A reversible mapping is stored with EU data residency.
  6. Share the pseudonymised bundle with the expert; re-identify if the expert requires clear names for specific individuals.

What you provide

  • Third-party witness statements, medical records, or police reports (PDF or DOCX)
  • Allow-list of individuals to retain in clear

Limitations & cautions

  • Whether you are entitled to share third-party materials with an expert depends on the terms of any disclosure order and data-sharing agreements — that is a legal question for the solicitor.
  • Medical records may be subject to additional access restrictions; confirm data-sharing basis before processing.

FAQ

Does sharing pseudonymised medical records still require a data-sharing basis under UK GDPR?

Yes — pseudonymisation reduces risk but does not remove UK GDPR obligations entirely. You still need a lawful basis under UK GDPR Article 6 and, for special-category data, an additional condition under Article 9.

Can the expert request re-identification for specific individuals?

Yes — using the mapping key, you can selectively re-identify specific individuals for the expert without revealing the full dataset in clear.

What if the third-party materials are in hard copy only?

Scan the hard-copy documents to PDF before upload. Ensure your scanning process complies with your information-governance policy.

Civil Litigation

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.