Pseudonymising Asset Purchase Agreements and Transfer Schedules – UK GDPR-compliant anonymisation per UK GDPR Art. 6(1)(b)

An asset purchase agreement (APA) transfers specific business assets rather than shares, but it still identifies individual transferring employees in the TUPE schedule, names key supplier and customer contacts in assigned contract schedules, and lists IP registrants in intellectual-property transfer schedules. anonym.legal pseudonymises these individuals while preserving the asset descriptions, transfer values, and TUPE obligations so advisers can assess the deal without unnecessary personal-data exposure.

When this applies

This task applies when an APA and its schedules are shared with operational due-diligence teams, employment lawyers advising on TUPE obligations, or IP specialists reviewing the intellectual-property transfer schedule, and those reviewers do not require access to the named employees' or contacts' personal data.

  1. Upload the APA and all schedules — TUPE employee list, assigned-contracts schedule, and IP transfer schedule — in a single batch.
  2. The engine identifies natural persons: transferring employees in TUPE schedules, named contract counterparty contacts, and IP registrants.
  3. Each individual is pseudonymised consistently across all schedules; the pseudonymisation of the TUPE employee list preserves role and employment-term data while protecting names.
  4. Asset descriptions, consideration, TUPE obligations, IP descriptions, and assigned-contract summaries remain in clear text.
  5. A mapping table is produced with UK/EU data residency.
  6. Release the pseudonymised batch for adviser review; restore originals before exchange.

What you provide

  • Asset Purchase Agreement
  • TUPE employee information schedule
  • Assigned-contracts schedule (with named counterparty contacts)
  • IP transfer schedule (with named registrants)

Limitations & cautions

  • TUPE compliance assessment — including measure consultation and ETO reasons — requires specialist employment-law advice not provided by this tool.
  • Employee personal data in TUPE schedules is sensitive; ensure only those with a legitimate review purpose access the pseudonymised schedule.
  • IP registrant pseudonymisation affects assignment deeds; the mapping table must be preserved for re-identification before filing with the IPO.

FAQ

Does pseudonymising the TUPE schedule affect the transferee's obligations?

The TUPE obligation structure — roles, terms, and continuity of employment — is preserved. The pseudonymised schedule is for due-diligence review; the operative transfer requires the employees' real identities and must use the re-identified version.

Can the tool handle an APA where some employees are objecting to transfer?

The tool pseudonymises the employee list as presented. Whether an employee has indicated an intention to object is a factual matter recorded in the TUPE schedule — that status is preserved, with the name pseudonymised.

Are IP registration numbers pseudonymised?

No. Registration numbers are not personal data under UK GDPR and are preserved. Only the named registrant's identity is pseudonymised.

Commercial Contracts

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.