Pseudonymising Distributor and Reseller Agreements – UK GDPR-compliant anonymisation per UK GDPR Art. 5(1)(c)

Distributor and reseller agreements name the principal's account managers and the distributor's authorised representatives in their appointment clauses, territory schedules, and reporting obligations. anonym.legal pseudonymises these individuals — preserving territory definitions, minimum purchase obligations, pricing tiers, and exclusivity provisions — so the agreement can be shared with market-entry advisers or competition-law counsel without disclosing individual contact details.

When this applies

This task applies when a distributor or reseller agreement is reviewed by competition-law advisers assessing exclusivity terms, by market-entry consultants evaluating territory coverage, or by management teams benchmarking minimum-purchase obligations, and those reviewers have no need to process named contact-person data.

  1. Upload the distributor or reseller agreement and any territory or product schedule.
  2. The engine identifies named account managers, authorised representatives, and named reporting contacts in the agreement body and schedules.
  3. Each individual is pseudonymised consistently; territory descriptions, pricing, and exclusivity provisions are preserved.
  4. A mapping table is produced with UK/EU data residency.
  5. Release the pseudonymised version for adviser review; restore originals before execution.

What you provide

  • Distributor or reseller agreement
  • Territory schedule
  • Product or pricing schedule (if it names contacts)

Limitations & cautions

  • Competition-law assessment of exclusivity provisions and minimum-purchase obligations requires specialist legal advice.
  • Named sub-distributors referenced in the agreement are pseudonymised; ensure the mapping table is preserved if sub-distributor agreements require cross-referencing.

FAQ

Can I pseudonymise a reseller agreement that includes a personal guarantee by the reseller's principal?

Yes. Personal guarantees naming individual guarantors are processed in the batch, and the guarantor receives a consistent pseudonym matching their appearances in the main agreement.

Are minimum-purchase obligations and rebate thresholds preserved?

Yes. Financial and commercial obligations — including minimum-purchase commitments, volume rebate tiers, and pricing — are preserved in clear text.

Does the tool support agreements governed by laws other than English law?

The engine pseudonymises personal data according to UK GDPR standards irrespective of the governing law. Confirm with your legal adviser whether this standard is adequate for the applicable jurisdiction.

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.