anonym.legal

Systeemarchitectuur

Gebouwd op Microsoft Presidio, scheidt onze architectuur analyse, anonimisering en verwerking in specifieke diensten voor maximale betrouwbaarheid.

Full Documentation

Kerncomponenten

Analyzer Service

Detecteert PII met behulp van regex-patronen en spaCy NLP. Geeft entiteitposities, types en vertrouwensscores terug.

Anonimisering Service

Past uw gekozen transformatiemethode toe. Ondersteunt Vervangen, Redigeren, Hashen, Versleutelen en Maskeren.

Webtoepassing

Next.js frontend met realtime verwerking. Responsief ontwerp voor alle apparaten.

REST API

RESTful eindpunten voor programmatische toegang. JWT-authenticatie. Snelheidsbeperkingen.

Gegevensstroom

Documenten stromen door onze diensten in een veilige, controleerbare pijplijn.

1

Klant stuurt document via HTTPS

2

Analyzer service detecteert PII-entiteiten

3

Resultaten worden teruggegeven met posities en scores

4

Klant selecteert anonimisering methode

5

Anonimisering past transformatie toe

6

Geanonimiseerd document wordt teruggegeven aan klant

Bouw op Onze Architectuur

API-toegang inbegrepen in alle plannen. Volledige documentatie beschikbaar.

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.

Related reading

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.