Allocation Questionnaire (N149): pseudonymise personal data before filing – UK GDPR-compliant anonymisation

A Directions Questionnaire (formerly Allocation Questionnaire, Form N149) is the court form in which parties provide information about witnesses, experts, and costs to assist case management; anonym.legal pseudonymises witness names and expert details in draft questionnaires — according to HMCTS, over 1.4 million claims were issued in 2023, and a Directions Questionnaire is required in the majority of defended cases.

When this applies

Applies when a solicitor is completing a Directions Questionnaire listing witnesses or experts. The small claims track threshold is £10,000 (or £1,000 for personal injury and £1,500 for housing disrepair); data shows that questionnaires at every track level can reference 3 or more witnesses with personal data requiring protection.

  1. Upload the draft Directions Questionnaire in DOCX or PDF.
  2. anonym.legal identifies witness names, expert names, and any personal details in the questionnaire fields.
  3. Pseudonyms are assigned consistently for all named individuals.
  4. Case management information — hearing windows, track preference, costs estimate — is preserved.
  5. Re-identify from the mapping key before filing the final form with the court.

What you provide

  • Draft Directions Questionnaire / N149 (DOCX or PDF)
  • Party-names allow-list

Limitations & cautions

  • The filed questionnaire must contain accurate, complete, and un-pseudonymised information — always re-identify before submission.
  • Costs information in the questionnaire is preserved as-is and is not verified by anonym.legal.
  • Submitting third-party personal data without appropriate data-minimisation measures can attract UK GDPR fines of up to £17.5 million or 4% of global turnover under DPA 2018 s.157.

FAQ

Can I process the N149 and costs schedule together in one session?

Yes — upload both documents in the same session for consistent pseudonymisation. Research shows that costs schedules in multi-track cases above £25,000 can name 5 or more fee earners whose personal data benefits from pseudonymisation.

Does anonym.legal support the small claims track version of the questionnaire?

The same processing workflow applies regardless of track — the engine processes the uploaded form without regard to which track is indicated. The small claims track threshold is £10,000.

What is the deadline for filing the Directions Questionnaire with the court?

Deadlines are set by the court in the notice of proposed allocation. anonym.legal does not monitor court deadlines — according to the Civil Procedure Rules 1998, non-compliance can result in sanctions including strike-out, so the solicitor must manage deadlines independently.

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

Hetzner holds 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.
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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.