Enterprise-Graad PII Ontdekking & Anonymisering
Regex patterns for structured data, proven ML models for names. Transparent, auditable results on Hetzner's ISO 27001-certified servers in Germany.
Waarom Kies anonym.legal
Deterministic Pattern Detection
Regex patterns for structured data (emails, SSNs, credit cards) give 100% reproducible results. ML-based NER for names and organizations provides high consistency. Fully auditable for compliance.
Leer meer oor ons tegnologie →Hetzner Germany, ISO 27001 Certified
Alle verwerking vind plaas in Hetzner se ISO 27001-geverifieerde datacenters in Duitsland. Jou data bly in die EU sonder verrassings jurisdiksie kwessies.
Besoek sekuriteitsbesonderhede →Token-GeBASEERDE Prys wat Jy kan Verstaan
Betaal vir wat jy gebruik met ons deursigtige token stelsel. Gratis vlak sluit 200 tokens in (~15-18 bladsye/maand). Geen versteekte fooie, geen verrassings.
Sien prys →KI Integrasie met Privaatheid Beskerming
Koppel jou KI gereedskap soos Cursor en Claude Desktop terwyl jy jou sensitiewe data veilig hou met outomatiese PII anonymisering.
Your AI Tool
(Cursor, Claude)
MCP Server
(Anonymizes PII)
AI Processes
(Safe data only)
Restore Values
(Optional)
Die MCP Bediening dien as 'n privaatheid skild tussen jou KI gereedskap en sensitiewe data. Dit ontdek en anonymiseer outomaties PII voordat dit na KI gestuur word, en herstel dan oorspronklike waardes in antwoorde—waarborg dat KI nooit jou werklike data sien nie.
Naadloze KI Gereedskap Integrasie
Werk saam met Cursor, Claude Desktop, en ander MCP-compatibele gereedskap
Privaatheid-Eerste Argitektuur
KI verwerk slegs anonieme data—oorspronklike PII verlaat nooit jou beheer nie
Omkeerbare Anonymisering
Tokenisering laat jou toe om oorspronklike waardes te herstel wanneer nodig
Dieselfde Token Prys
Gebruik jou bestaande token balans—geen addisionele koste
Ondersteunde KI Gereedskap:
Beskikbaar op Pro en Besigheid planne. Opgradeer om te ontsluit.
Verwerk Dokumente Veilig
Maximale privaatheid met veilige lêer hantering. Dokumente bly op jou toestel — slegs onttrokken teks word vir analise gestuur.
Drag & Drop
(Your files)
Local Processing
(On your device)
Analyze & Anonymize
(Text only)
Save Result
(Stay local)
Die Desktop App verwerk dokumente heeltemal op jou toestel. Lêers word plaaslik gelees, slegs die onttrokken teks word vir analise gestuur, en jou dokumente bly privaat.
Veilige Lêer Hantering
Dokumente bly op jou rekenaar — slegs onttrokken teks word na ons veilige API gestuur
Enkripteerde Plaaslike Berging
Gesiedenis, voorafinstellings, en enkripteersleutels gestoor in jou enkripteerde plaaslike kluis
Sleep & Laat Val Koppelvlak
Eenvoudige, intuïtiewe werkvloei—sleep lêers en kry resultate onmiddellik
Meervoudige Formate
PDF, DOCX, TXT, en meer—verwerk enige dokument tipe
Beskikbaar vir:
Ontdek name, e-posse, telefoonnommers, kredietkaarte, SSN's, IBAN's, IP adresse, en meer oor verskeie kategorieë.
Volledige ondersteuning vir 48 tale insluitend Engels, Duits, Spaans, Frans, en 43 meer met RTL ondersteuning vir Arabies, Hebreeus, Persies, en Urdu. Aangedryf deur spaCy, Stanza, en XLM-RoBERTa NLP enjins.
Vervang, Swart, Hash (SHA-256), Enkripteer (AES-256-GCM), of Masker—kies die beskermingsmetode wat by jou gebruiksgeval pas.
Enterprise-graad betroubaarheid met monitering, outomatiese rugsteun, en insident respons prosedures.
Gratis nakomings- en sekuriteitsgidse
Laai deskundige hulpbronne af om u organisasie te help om sensitiewe data te beskerm en aan nakomingsvereistes te voldoen.
Sien dit in werking
Kyk hoe anonym.legal sensitiewe data in werklike tyd oor u gunstelinggereedskap beskerm.
Latest Insights
Research, guides, and analysis on data privacy
Japan My Number: Verhoeff & APPI
63% of generic tools fail My Number detection in Japanese documents. My Number uses Verhoeff algorithm — the most complex national ID checksum in Asia.
HDPA Greece: AFM & AMKA Detection
Greek AFM detected with 52% accuracy by generic tools. HDPA issued 89 decisions in 2024 — up 162% from 2022. Tourism and maritime sectors face distinct.
NAIH Hungary: TAJ-Szám and Adóazonosító Jel
Hungarian NER accuracy is 67% vs. EU average 82% — NAIH's 2024 assessment. TAJ-szám weighted checksum and adóazonosító jel detection gaps.
Explore anonym.legal
Gereed om Jou Data te Beskerm?
Begin met ons gratis vlak—200 tokens per siklus, geen kredietkaart benodig.
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.