Pseudonymising Family Mediation Summaries and MIAMs – UK GDPR-compliant anonymisation per Family Procedure Rules 2010

Family mediation summaries and MIAM records identify both parties, the mediator, and often children by name, address, and MIAM outcome, and may be filed with the court under the Family Procedure Rules 2010 pre-action protocol. anonym.legal pseudonymises those identifiers while preserving agreed terms, outstanding issues, and the mediator's observations so documents can be reviewed without personal-data exposure.

When this applies

This task applies when a mediation summary or MIAM certificate is shared with a solicitor advising on the mediated terms, or with a court for pre-action compliance purposes, and the reviewing solicitor requires the substantive outcome but not the parties' real identities at the initial instruction stage.

  1. Upload the mediation summary or MIAM record (PDF or DOCX).
  2. The engine identifies the parties, mediator, and any children named in the summary.
  3. Each individual receives a consistent pseudonym; agreed heads of terms, outstanding issues, and the mediator's process notes are preserved.
  4. The MIAM outcome (attended/exempt) and case reference number are preserved.
  5. A reversible mapping table is produced with UK data residency.
  6. Release the pseudonymised summary to the advising solicitor; restore real identities before court filing.

What you provide

  • Family mediation summary
  • MIAM certificate or outcome letter
  • Any heads of agreement drafted during mediation

Limitations & cautions

  • Mediation communications are subject to without-prejudice and confidentiality protections independent of UK GDPR — confirm with your mediator before sharing any mediation document externally.
  • MIAM certificates filed with the C100 must bear the mediator's and parties' real details — re-identify before court submission.
  • anonym.legal does not assess the adequacy or enforceability of any terms agreed in mediation.

FAQ

Does pseudonymising a mediation summary affect its without-prejudice status?

No. The without-prejudice status is a legal characterisation that attaches to the communication itself, not to the identity of the parties. Pseudonymisation does not waive privilege or without-prejudice protection.

Can I use a pseudonymised mediation summary as a basis for drafting a consent order?

Yes, as a working document. The solicitor drafting the consent order must use the re-identified version, as the consent order filed with the court must identify both parties.

Are mediator identity details pseudonymised by default?

By default the mediator's name is pseudonymised. If the mediator's identity is not personal data in the context of the sharing, the mapping table can be used to selectively re-identify them.

Family Law

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.