Anonymising Commercial Settlement Agreements for Legal Benchmarking – UK GDPR-compliant anonymisation per UK GDPR Art. 5(1)(c)

A commercial settlement agreement is a contract resolving a dispute between parties — naming the claimant, respondent, and their legal representatives, and recording settlement consideration and confidentiality obligations. The Limitation Act 1980 provides 6 years for simple contract claims and 12 years for deeds; UK GDPR fines reach £17.5 million or 4% of global turnover. anonym.legal pseudonymises named individuals so the agreement can be benchmarked without disclosing party identities.

When this applies

This task applies when a settlement agreement is added to an internal precedent library, shared with insurance underwriters assessing litigation risk, or benchmarked against market settlements, and those uses require sight of commercial terms but not the identities of the parties or their representatives. According to the Misrepresentation Act 1967, settlements resolving claims based on false statements carry specific release wording that is preserved in full; only the named parties are pseudonymised.

  1. Upload the settlement agreement.
  2. The engine identifies named parties, their legal representatives, and any named witnesses or experts referenced in recitals or schedules.
  3. Each individual is pseudonymised consistently; settlement consideration, payment timing, and confidentiality provisions are preserved.
  4. Any non-disparagement or agreed public-statement provisions are preserved in clear text.
  5. A mapping table is produced with UK/EU data residency.
  6. Release the pseudonymised version for precedent use; the original is retained under the agreed confidentiality regime.

What you provide

  • Commercial settlement agreement
  • Any deed of release attached to the settlement
  • Agreed joint statement (if annexed)

Limitations & cautions

  • Settlement agreements often contain confidentiality provisions that restrict use of the agreement itself — ensure any use of the pseudonymised version is consistent with those provisions.
  • Where the settlement resolves claims involving special-category data (e.g. health or discrimination claims), additional care is required under UK GDPR Art. 9(2)(f).
  • Deeds of release have a 12-year limitation period under the Limitation Act 1980; retain the mapping key for the full 12 years where the settlement is executed as a deed.

FAQ

Does pseudonymisation breach the settlement's own confidentiality clause?

That depends on the specific wording of the confidentiality clause and the use to which the pseudonymised version is put. Obtain legal advice before using the pseudonymised version in any context that could be read as disclosure of the settlement's existence or terms.

Can a pseudonymised settlement agreement be used as a precedent in future negotiations?

Yes. This is a primary use case. The pseudonymised version preserves the commercial structure — consideration, release scope, payment mechanics — making it suitable for internal precedent libraries.

Are legal representatives' names pseudonymised as well as the parties'?

Yes. Named solicitors, barristers, and their firms' contact personnel are pseudonymised if they appear as natural persons in the document.

What ICO enforcement actions are relevant to settlement data handling?

According to the ICO, processing personal data for purposes incompatible with the original collection constitutes a breach of UK GDPR Art. 5(1)(b). The ICO issued fines of £20 million (British Airways, 2020) and £18.4 million (Marriott International, 2020) for data-protection failures — demonstrating that courts and regulators treat personal-data mishandling seriously even in commercial contexts.

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).
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Our promise

We do not sell your data.

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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

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

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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.

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.