anonym.legal

By · Last updated 2026-04-07

Gebou vir Elke Bedryf

Van startups tot ondernemings, sien hoe organisasies oor verskillende bedrywe anonym.legal gebruik om sensitiewe data te beskerm en nakoming te handhaaf.

Begin Gratis Proef

KI & GenAI Beskerming

Stop datalekke na ChatGPT, Claude & Copilot

Uitdaging

77% van werknemers plak sensitiewe data in KI-hulpmiddels. GenAI is nou die #1 datalek-kanaal.

Oplossing

Chrome-uitbreiding onderskep PII voordat dit by KI-modelle kom. Plaaslike verwerking. Geen datalek nie.

Leer meer

Onderneming

GDPR-nakoming & databeskerming op skaal

Uitdaging

Groot organisasies hanteer miljoene dokumente wat persoonlike data oor verskeie afdelings bevat.

Oplossing

Gekonsolideerde PII-detektering en anonimisering met ouditspore, rolgebaseerde toegang en batchverwerking.

Leer meer

Klein en Medium Besighede & Startups

Enterprise sekuriteit teen startup pryse

Uitdaging

94% van SMB's is in 2024 aangeval. Enterprise hulpmiddels kos $800+/maand.

Oplossing

Dieselfde 285+ entiteitstipes en 48 tale. Begin gratis, skaal na €3/maand.

Leer meer

Ontwikkelaars

Toetsomgewings & CI/CD-pype

Uitdaging

Ontwikkelingspanne het realistiese toetsdata nodig sonder om produksie PII bloot te stel.

Oplossing

API-integrasie vir outomatiese anonimisering in CI/CD-pype, wat veilige toetsdatasets genereer.

Leer meer

Regshandeling

Kontrak anonimisering & e-ontdekking

Uitdaging

Prokureursfirmas moet sensitiewe inligting uit kontrakte, hofstukke en ontdekkingdokumente verwyder.

Oplossing

Presiese redaksie met ouditspore vir regshandeling en dokumentproduksie.

Leer meer

Gesondheidsorg

Pasiëntdatabeskerming & HIPAA-ondersteuning

Uitdaging

Gesondheidsorgverskaffers moet pasiënte se inligting beskerm terwyl navorsing en analise moontlik gemaak word.

Oplossing

HIPAA-geskikte anonimisering vir mediese rekords, navorsingsdata en administratiewe dokumente.

Leer meer

Finansieel

PCI-DSS-nakoming & bedrogvoorkoming

Uitdaging

Finansiële instellings hanteer sensitiewe kliëntedata wat onderhewig is aan streng regulerende vereistes.

Oplossing

Nakoming van anonimisering vir transaksie rekords, kliëntedata en regulerende verslagdoening.

Leer meer

Navorsing

Akademiese datadeling & publikasie

Uitdaging

Navorsers moet datasets deel terwyl hulle deelnemers se privaatheid beskerm.

Oplossing

Consistente pseudonimisering vir navorsingsdatasets wat samewerking en publikasie moontlik maak.

Leer meer

Regering

Openbare rekords & FOIA-nakoming

Uitdaging

Regeringsagentskappe moet openbare rekords vrylaat terwyl hulle burgerprivaatheid beskerm.

Oplossing

Outomatiese redaksie vir FOIA-versoeke, openbare rekords en inter-agentskapdeling.

Leer meer

Data-soewereiniteit

In Duitsland aangebied; data word slegs binne die EU verwerk.

Uitdaging

Grensoverschrijdende data-oordragte stel organisasies bloot aan die US Cloud Act en GDPR-boetes.

Oplossing

100% Duitse infrastruktuur sonder Amerikaanse cloudverskaffers. Voldoen aan Schrems II per ontwerp.

Leer meer

Sien jy nie jou bedryf nie?

Ons PII-detektering en anonimisering werk vir enige bedryf wat persoonlike data hanteer. Kontak ons om jou spesifieke behoeftes te bespreek.

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.