By George Curta · Last updated 2026-04-07
Bygget til Hver Branche
Fra startups til virksomheder, se hvordan organisationer på tværs af industrier bruger anonym.legal til at beskytte følsomme data og opretholde overholdelse.
Start Gratis PrøveperiodeAI & GenAI Beskyttelse
Stop datalækager til ChatGPT, Claude & Copilot
77% af medarbejderne indsætter følsomme data i AI-værktøjer. GenAI er nu den #1 datalekagekanal.
Chrome-udvidelsen opsnapper PII, før det når AI-modeller. Lokal behandling. Ingen dataeksponering.
Virksomhed
GDPR-overholdelse & databeskyttelse i stor skala
Store organisationer håndterer millioner af dokumenter, der indeholder personlige data på tværs af flere afdelinger.
Centraliseret PII-detektion og anonymisering med revisionsspor, rollebaseret adgang og batchbehandling.
SMB & Startups
Virksomhedssikkerhed til opstartspriser
94% af SMB'er blev angrebet i 2024. Virksomhedsværktøjer koster $800+/måned.
De samme 285+ enhedstyper og 48 sprog. Starter gratis, skalerer til €3/måned.
Udviklere
Testmiljøer & CI/CD-pipelines
Udviklingsteams har brug for realistiske testdata uden at afsløre produktions-PII.
API-integration til automatiseret anonymisering i CI/CD-pipelines, der genererer sikre testdatasæt.
Juridisk
Kontraktanonymisering & e-efterforskning
Advokatfirmaer skal redigere følsomme oplysninger fra kontrakter, retsdokumenter og efterforskningsdokumenter.
Præcis redigering med revisionsspor for juridisk overholdelse og dokumentproduktion.
Sundhedspleje
Beskyttelse af patientdata & HIPAA-support
Sundhedsudbydere skal beskytte patientoplysninger, samtidig med at de muliggør forskning og analyser.
HIPAA-tilpasset anonymisering for medicinske journaler, forskningsdata og administrative dokumenter.
Finans
PCI-DSS-overholdelse & forebyggelse af svindel
Finansielle institutioner håndterer følsomme kundedata, der er underlagt strenge regulatoriske krav.
Overholdende anonymisering for transaktionsoptegnelser, kundedata og regulatorisk rapportering.
Forskning
Akademisk datadeling & publikation
Forskere har brug for at dele datasæt, mens de beskytter deltageres privatliv.
Konsistent pseudonymisering for forskningsdatasæt, der muliggør samarbejde og publikation.
Regering
Offentlige optegnelser & FOIA-overholdelse
Regeringsagenturer skal offentliggøre offentlige optegnelser, samtidig med at de beskytter borgernes privatliv.
Automatiseret redigering for FOIA-anmodninger, offentlige optegnelser og inter-agentur deling.
Datasuverænitet
Hosted i Tyskland; databehandling kun inden for EU.
Grænseoverskridende dataoverførsler udsætter organisationer for US Cloud Act og GDPR-bøder.
100% tysk infrastruktur uden amerikanske cloud-udbydere. Schrems II-kompatibel ved design.
Ser Du Ikke Din Branche?
Vores PII-detektion og anonymisering fungerer for enhver branche, der håndterer personlige data. Kontakt os for at drøfte dine specifikke behov.
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
- Common questions
- Glossary
- How tokens work
- Security posture
- Where we comply
- What we detect
- Case studies
- Release notes
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
- Open the web app and try a sample file.
- Learn how credits get counted.
- See current plans and limits.
- Meet the team behind the product.
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.