By George Curta · Last updated 2026-04-07
Aan die Gang
Installeer die anonym.legal invoegtoepassing, teken in, en anonymiseer jou eerste dokument in Microsoft Word in minder as 5 minute.
Installeer die Invoegtoepassing
Daar is twee maniere om die anonym.legal invoegtoepassing vir Microsoft Word te installeer.
Opsie A: Microsoft AppSource
- 1.Maak Microsoft Word oop
- 2.Gaan na Invoeg → My Invoegtoepassings → Winkel
- 3.Soek na "anonym.legal"
- 4.Klik Voeg by om te installeer
Opsie B: Sideload Manifest
- 1.Gaan na Invoeg → My Invoegtoepassings → Laai My Invoegtoepassing op
- 2.Voer die manifest URL in:
https://anonym.legal/office_addin/manifest.xmlSideloading is nuttig vir toetsing of wanneer AppSource nie beskikbaar is in jou organisasie nie.
Teken In
Na installasie verskyn die invoegpaneel aan die regterkant van Word. Teken in met jou anonym.legal rekening.
Zero-Knowledge Authenticatie: Die invoegtoepassing ondersteun ZK-auth. Jou wagwoord word nooit na die bediener gestuur nie -- slegs 'n kriptografiese bewys. Dit beteken selfs ons kan nie jou geloofsbriewe sien nie.
Het jy nie 'n rekening nie? Skep een gratis -- die gratis plan sluit 200 tokens per maand in.
Analiseer Jou Dokument
Met 'n Word-dokument oop, klik die Analiseer-knoppie in die invoegpaneel. Die invoegtoepassing onttrek die teks en stuur dit na die anonym.legal API vir PII-detectie.
- Detecteer 285+ entiteitstipes (name, SSN's, kredietkaarte, mediese rekords, en meer)
- Ondersteun 48 detectietale
- Resultate verskyn in 'n lys met entiteitstipes, waardes, en vertrouensgrade
Hersien in Voorbeeldvenster
Voordat jy veranderinge toepas, gebruik die Voorbeeldvenster om presies te hersien wat verander sal word. Die Voorbeeldvenster wys:
- Sydelings oorspronklike en geanonymiseerde teks
- Metode keuse -- skakel tussen Vervang, Masker, Redigeer, Hash, of Enkripteer
- Taal en vooraf ingestelde keuses vir vinnige aanpassings
Kies Metode en Pas Toe
Kies jou verkose anonymiseringmetode en klik Pas Toe om die dokument te wysig.
"John Smith" → "<PERSON_1>". Omkeerbaar met kaarte.
"john@example.com" → "j***@e******.com". Bewaar formaat.
"John Smith" → "[REDACTED]". Onomkeerbaar, maksimum privaatheid.
"John Smith" → "a1b2c3d4...". Konsistent oor dokumente.
Volledig omkeerbaar met die korrekte enkripteeringssleutel. Beste vir werksvloei wat de-anonymisering vereis.
Wenke vir Eerste Keer Gebruikers
- Gebruik die Voorbeeldvenster -- hersien altyd gedetecteerde entiteite voordat jy toepas. Jy kan die metode, taal, en vooraf ingestelde keuse vanuit die voorbeeld verander.
- Ctrl+Z om te ongedaan te maak -- as jy anonymisering toepas en wil terugkeer, gebruik Word se standaard Ctrl+Z (Cmd+Z op Mac) om die veranderinge ongedaan te maak.
- Stoor vooraf ingestelde keuses -- as jy gereeld soortgelyke dokumente anonymiseer, skep 'n vooraf ingestelde keuse om jou entiteitkeuse, metode, en operateurkonfigurasie te stoor.
- Bewaar Formatering -- aktiveer hierdie opsie in instellings om vet, kursief, en onderstreepte formatering te behou wanneer jy anonymiseer.
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.