Pseudonymising Occupation Order Applications – UK GDPR-compliant anonymisation per UK GDPR

An occupation order application is an application under Family Law Act 1996 Part IV identifying both parties, the property, and the applicant's housing needs. The Domestic Abuse Act 2021 reinforced protections for victims' address data; FPR 2010 r.27.10 ensures private hearings. anonym.legal pseudonymises identifiers and address details while preserving the housing-needs narrative.

When this applies

This task applies when an occupation order application under FLA 1996 Part IV and supporting evidence are reviewed by a legal-aid supervisor, housing adviser, or welfare specialist, and the reviewer requires sight of the housing-needs analysis and proposed order terms but should not have access to the applicant's address or the property's full location details.

  1. Upload the occupation order application (Form FL401) and any property-related evidence.
  2. The engine identifies the applicant, respondent, children, and property address across the application and supporting documents.
  3. Each natural person receives a consistent pseudonym; the property address is pseudonymised as a unit to protect the applicant's location.
  4. Housing-needs analysis, cohabitation history, and the terms of the proposed order are preserved in clear text.
  5. A reversible mapping table is produced with UK data residency.
  6. Release the pseudonymised documents for review; restore real addresses only for court filing under appropriate safety protocols.

What you provide

  • Form FL401 occupation order application
  • Supporting witness statement describing occupation history
  • Property-related evidence (land registry title if attached)

Limitations & cautions

  • The full property address carries particular sensitivity in domestic abuse contexts within the meaning of DAA 2021 s.1 — the mapping table containing the real address should be shared only on a strict need-to-know basis.
  • Land Registry title information appended to the application will have the proprietor's name pseudonymised but the title number preserved.
  • anonym.legal does not advise on the merits of occupation order applications or the FLA 1996 Part IV balance-of-harm test — obtain specialist advice.

FAQ

Is the property's full address pseudonymised in the application?

Yes. The full property address is pseudonymised as a single unit. A general area descriptor (e.g. 'a property in London') is preserved if present, but the specific street and postcode are replaced with a pseudonym.

Can an occupation order application be pseudonymised alongside a non-molestation order application?

Yes. Upload both applications in the same batch. Individuals named in both applications receive consistent pseudonyms across all documents.

Are Land Registry title numbers treated as personal data?

Title numbers are not personal data under UK GDPR and are preserved. Only the named registered proprietors are pseudonymised.

Why is the applicant's address in an occupation order application particularly sensitive?

In domestic abuse cases — which form a significant proportion of occupation order applications under Family Law Act 1996 Part IV — the applicant's address may be their refuge location. The Domestic Abuse Act 2021 came into force in 2021 and strengthened the court's duty to protect this information. Sharing an unredacted FL401 with a housing adviser or legal-aid supervisor who only needs the housing-needs narrative constitutes unnecessary processing of special-category personal data, risking ICO fines of up to £17.5 million or 4% of annual turnover under DPA 2018.

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.

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Where we run

Our company HQ is in Saarbrücken, Germany. Our servers run in Hetzner's Falkenstein datacenter.

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How we test

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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

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One credit covers one short job.

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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.

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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.