By George Curta · Last updated 2026-06-30
Dzez Tvelnerere Arlenum en ChatGPT-um
Aşxatoghneri 77%-n ktshadarel zgazvox tvelner AI gorciknerum: GenAI-n arden dn. 1 tvealneri ardzakman kanal e jermanakanutyunum: anonym.legal-n kargatcum e PII-n AI modelneran hascneluc arraj — hetcarenov arjunakitutyun aranc vel:
AI-i Tvealneri Tchnarutyan Arlenum Arden Kashvum e
Dzez aşxatoghnery gortsazdratetnum en ChatGPT, Claude ev Copilot orinakan: Nranq nermucox prompt-neriy tirak tarracutjun e — ev duk orchek tirarakan chek, inch ktshadarcvum e:
- !ChatGPT-i ogtakalutyyan 67%-n tipi heshivnerum ev ancelkan sarkerum e
- !OpenAI federalayin davanakanin kargyov petq e bolor zimbarakutyunnery ankajakavor pahpanel
- !900,000 ogtagorcic unezogh erku Chrome extension-ner bervec en AI zimbarakutjun gohadzum
- !Samsung-n argelaphakec ChatGPT-in nakhaqin kody ardzakeluts heto — aşxatognery anjnakan sarkerov yndekal ogtakaretsin
Hetcarek AI-n: Argelaphakek Ardzakumy:
anonym.legal-n kargatcum e zgazvox tvelnerery naxqan, qan AI-i modelnerin hascnen: Dzez kazmy ounena AI-i lior arjunakitutyun: Dzez tvelnerery mnalunn pashtatpanvac:
Browser-i Pashtatpanutyun
Kargatcum e prompt-nery naxqan, ChatGPT, Claude, Gemini, Copilot, Perplexity ev DeepSeek-in hascneluc arraj: Gorcum e AI-i bolor kaytqerum:
Mshakoch Gorcikner Pashtatpanutyun
Model Context Protocol server-n miavorum e Claude Desktop-i ev Cursor IDE-i het: Mshakochhnery bnakanorew gorcum en, minchdejm tvelnerery pashtatpanvum en:
Tvelnerere Erkbek Chi Lkni Sarkits
Bolor ananunacume kanxvum e bnakanorew dzez browser-um: Zero-knowledge chartarabanutyunn nshanakum e, vor mer chi kareli tesel dzez tvelnerery:
285+ Kazmakerputyan Texak, 48 Lezou
Haytnaberume anunner, el. amennery, SSN-nery, varckayin karttery, hashvecanerery ev 285+ ayjn PII texakner 48 lezounerov:
Gjercghorutyunneri dem, vor chi gorcum
- Gorcum e anjnakan heshivnerum — AI-i ogtakalutyyan 67%, vor ayzhm chi tesum
- Miaynje tegalin mshakum — tvelnerery erkbek chi hascnum mer server-nery
- Manifest V3-in hamapatasxan — Chrome-i ardum banvtakanutjyan standard-ner
- Arjunakitutyuny chi karoghanoum — ogtagortsichnery sharunakem ogtakaretsen AI-n bnakanorew
- Metchap — Anvchaṙ mets khogtnum e, verdjar planneric sksnum en €3/amsiv
Pashtatpanirk Dzez AI Ashkhatavayrery 30 Vayrkyanum
Chrome Extension-n anvchaṙ e, antkan meghmucvum e ev grkaheshum chi pahanjum: Sksel pashtatpanel dzez kazmi AI ogtakalutyunn:
Limitations / Important note
- Anonymizing prompts reduces but does not eliminate data exposure risk; review what you send to third-party AI providers.
- Detection is probabilistic; high-stakes outputs should be human-reviewed. This is not legal advice.
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 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
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.