데이터 처리 계약
GDPR 준수 요건의 일환으로 공식 데이터 처리 계약(DPA)이 필요한 기업 고객을 위한 것입니다.
DPA란 무엇인가요?
데이터 처리 계약(DPA)은 컨트롤러(귀하)와 프로세서(anonym.legal) 간에 개인정보 처리 방식을 규율하는 법적 구속력이 있는 계약입니다.
GDPR 제28조에 따라, 조직은 제3자 프로세서에게 개인정보 처리를 위탁할 때 데이터 처리 계약을 체결해야 합니다.
당사의 표준 DPA에 포함된 내용
- ✓처리의 주제 및 기간
- ✓처리의 성격 및 목적
- ✓처리되는 개인정보의 유형
- ✓영향을 받는 개인의 범주
- ✓컨트롤러의 의무 및 권리
- ✓기술적 및 조직적 보안 조치
- ✓하위 프로세서 요건
- ✓위반 통지 절차
데이터 처리 계약 요청
이메일 주소를 입력하시면 귀사의 정보를 입력할 수 있는 링크를 보내드립니다. 서명된 계약서는 그 직후 이메일로 도착합니다.
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, held by our hosting provider.
- 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 company HQ is in Saarbrücken, Germany. Our servers run in Hetzner's Falkenstein datacenter.
Hetzner holds 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
Automated checks run on every release.
Each surface gets its own sweep script and report.
Human reviewers spot-check the output each week.
We test detection against sample documents before each release.
A failing unit or integration run stops the release.
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.
Paid plans can buy top-up credits.
Credits reset at the end of each cycle.
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.