By · Last updated 2026-04-07

Memulakan

Pasang add-in anonym.legal, log masuk, dan anonimisasi dokumen pertama anda dalam Microsoft Word dalam masa kurang dari 5 minit.

1

Pasang Add-in

Terdapat dua cara untuk memasang add-in anonym.legal untuk Microsoft Word.

Pilihan A: Microsoft AppSource

  1. 1.Buka Microsoft Word
  2. 2.Pergi ke Sisipkan → Add-in Saya → Kedai
  3. 3.Cari "anonym.legal"
  4. 4.Klik Tambah untuk memasang

Pilihan B: Sideload Manifest

  1. 1.Pergi ke Sisipkan → Add-in Saya → Muat Naik Add-in Saya
  2. 2.Masukkan URL manifest:
https://anonym.legal/office_addin/manifest.xml

Sideloading berguna untuk ujian atau apabila AppSource tidak tersedia di organisasi anda.

2

Log Masuk

Selepas pemasangan, panel add-in muncul di sebelah kanan Word. Log masuk dengan akaun anonym.legal anda.

Zero-Knowledge Authentication: Add-in menyokong pengesahan ZK. Kata laluan anda tidak pernah dihantar ke pelayan -- hanya bukti kriptografi. Ini bermakna bahkan kami tidak dapat melihat kelayakan anda.

Tiada akaun? Buat satu secara percuma -- pelan percuma termasuk 200 token sebulan.

3

Analisis Dokumen Anda

Dengan dokumen Word terbuka, klik butang Analisis di panel add-in. Add-in mengekstrak teks dan menghantarnya ke API anonym.legal untuk pengesanan PII.

  • Mengesan 285+ jenis entiti (nama, SSN, kad kredit, rekod perubatan, dan banyak lagi)
  • Menyokong 48 bahasa pengesanan
  • Keputusan muncul dalam senarai dengan jenis entiti, nilai, dan skor keyakinan
4

Semak di Tingkap Pratonton

Sebelum menerapkan perubahan, gunakan Tingkap Pratonton untuk menyemak apa yang akan diubah. Tingkap Pratonton menunjukkan:

  • Teks asal dan teks yang dianonimkan secara berdampingan
  • Pemilih kaedah -- beralih antara Gantikan, Mask, Redact, Hash, atau Encrypt
  • Pemilih bahasa dan pra-set untuk penyesuaian cepat
5

Pilih Kaedah dan Terapkan

Pilih kaedah anonimisasi pilihan anda dan klik Terapkan untuk mengubah dokumen.

GantikanPenggantian token

"John Smith" → "<PERSON_1>". Boleh dibalikkan dengan fail pemetaan.

MaskPengaburan karakter separa

"john@example.com" → "j***@e******.com". Menjaga format.

RedactPenghapusan kekal

"John Smith" → "[REDACTED]". Tidak boleh dibalikkan, privasi maksimum.

HashSHA-256 atau SHA-512

"John Smith" → "a1b2c3d4...". Konsisten di seluruh dokumen.

EncryptPenyulitan AES-256-GCM

Sepenuhnya boleh dibalikkan dengan kunci penyulitan yang betul. Terbaik untuk aliran kerja yang memerlukan deanonimisasi.

Tip untuk Pengguna Pertama Kali

  • Gunakan Tingkap Pratonton -- sentiasa semak entiti yang dikesan sebelum menerapkan. Anda boleh menukar kaedah, bahasa, dan pra-set dari dalam pratonton.
  • Ctrl+Z untuk membatalkan -- jika anda menerapkan anonimisasi dan ingin membalikkan, gunakan Ctrl+Z standard Word (Cmd+Z di Mac) untuk membatalkan perubahan.
  • Simpan pra-set -- jika anda sering menganonimkan dokumen yang serupa, buat pra-set untuk menyimpan pemilihan entiti, kaedah, dan konfigurasi operator anda.
  • Pelihara Pemformatan -- aktifkan pilihan ini dalam tetapan untuk mengekalkan pemformatan tebal, miring, dan garis bawah semasa menganonimkan.

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.