Anonymising Criminal Records Subject to DBS Filtering Rules – UK GDPR-compliant anonymisation per Rehabilitation of Offenders Act 1974 s.4

DBS filtering rules, derived from the Rehabilitation of Offenders Act 1974 s.4 and the Exceptions Order, determine which old or minor convictions and cautions are withheld from DBS certificates after prescribed time thresholds. anonym.legal pseudonymises the individual's personal identifiers in filtering-related paperwork, enabling legal advisers to assess filter eligibility without retaining unnecessary personal data.

When this applies

This task applies when legal advisers, HR compliance officers, or individuals themselves are reviewing whether specific convictions or cautions qualify for DBS filtering — either in preparation for a DBS application or in response to a filtering dispute with the DBS.

  1. Upload the filtering review document, DBS correspondence, or subject access data showing the relevant offence records.
  2. The engine identifies the individual's personal identifiers across all documents.
  3. Personal identifiers are pseudonymised; offence descriptions, conviction dates, sentence types, and filtering eligibility indicators are preserved.
  4. Filtering-threshold dates and any filtering-exclusion flags are preserved in clear text.
  5. A reversible mapping table is produced with UK data residency.
  6. The pseudonymised documents are released for filtering-eligibility review; originals are restored before submission to the DBS or any appeal body.

What you provide

  • DBS filtering correspondence or outcome notice
  • PNC extract or DBS certificate showing the relevant offence entries
  • Filtering eligibility worksheet or legal analysis (if prepared)

Limitations & cautions

  • Filtering eligibility depends on specific sentence types, time thresholds, and offence-category exclusions — the tool preserves relevant data for analysis but does not independently determine filter eligibility.
  • Certain serious offences are permanently excluded from filtering regardless of age or time elapsed; this is a legal determination requiring specialist advice.

FAQ

Are all cautions eligible for DBS filtering?

Not all cautions qualify for filtering. Cautions for specified serious offences are permanently excluded from the DBS filtering rules. The pseudonymised documents preserve the offence descriptions needed to assess filtering eligibility.

Can I use the pseudonymised filtering review documents in a DBS appeal?

DBS appeals require the real identity of the applicant. The pseudonymised documents are for preliminary legal review only; re-identify using the mapping key before submitting any appeal.

Does the tool handle cases where the same person has both filtered and unfiltered entries?

Yes. All entries are preserved in the pseudonymised output, with filtering-status indicators maintained. The legal reviewer can assess the mix of filtered and unfiltered entries without knowing the individual's identity.

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.