anonym.legal

By · Last updated 2026-06-03

Gesondheidsorg Spesialis

anonym.legal vs John Snow Labs

John Snow Labs is 'n gesondheidsorg NLP-spesialis met toonaangewende PHI-deïdentifisering (96% F1-akkuraatheid) vir kliniese notas, FHIR-hulpbronne en mediese dokumente. anonym.legal is 'n multi-industrie PII-platform met 285+ entiteit-tipes, omkeerbare enkripsie, en verskeie afleweringsmetodes vir alle besigheidsdomeine.

Meer oor John Snow Labs

Kenmerkvergelyking

Kenmerkanonym.legalJohn Snow Labs
Primêre FokusPII AnonymizationGesondheidsorg PHI
PryseFree to €29/moEnterprise (nie gepubliseer nie)
Free TierYesNie gevind nie
PII-bespeuringYes
PII-anonimiseringYesReg
Omkeerbare EnkripsieAES-256-GCMTokenisering/obfuskasie (aangegee)
Entiteit-tipes285+Gesondheidsorg-fokus
Taalondersteuning48 languagesNie gespesifiseer nie
HIPAA-nakomingYesReg
Safe Harbor / Deskundige BepalingYesReg
Kliniese Notas / FHIRYesReg
Self-gasheer OpsieNoVerwerk in-plek (aangegee)
Chrome-uitbreidingYes
MCP-bediener (KI-hulpmiddels)Yes
Office-invoegtoepassingYes
Desktop AppYes
Zero-Knowledge AuthYes

Vergelyking gebaseer op publiek beskikbare inligting. "Nie gevind nie" dui aan dat kenmerk nie op produkblad gedokumenteer is nie. Laas opgedateer Februarie 2026.

Hoekom Kies anonym.legal

Multi-industrie Dekking

285+ entiteit-tipes oor gesondheidsorg, reg, finansies en alle besigheidsdomeine—nie beperk tot gesondheidsorg nie.

Omkeerbare Enkripsie

AES-256-GCM enkripsie met jou eie sleutels. Volledige de-anonimisering wanneer wetlik vereis.

Veelvuldige Koppelvlakke

Chrome-uitbreiding, MCP-bediener, Office-invoegtoepassing, Desktop App en REST API. Kies jou werkvloei.

48 Tale

Meertalige entiteit-herkenning met landspesifieke ID-validering vir wêreldwye operasies.

KI-hulpmiddelbeskerming

Anonimiseer data voordat dit na ChatGPT, Claude of Gemini gestuur word via Chrome-uitbreiding of MCP-bediener.

Deursigtige Pryse

Free tier + €3-29/maand planne. Geen slegs-vir-onderneming pryse of verkoopsoproepe nodig nie.

Zero-Knowledge Sekuriteit

Jou wagwoord verlaat nooit jou toestel nie. Selfs al word ons bedieners gekompromitteer, bly jou geloofsbriewe veilig.

Wanneer John Snow Labs Beter Mag Wees

John Snow Labs blink uit in gespesialiseerde gesondheidsorg NLP:

  • Kliniese NLP-kennis: 96% F1-akkuraatheid op mediese NER-maatstawwe—beste in die industrie vir gesondheidsorg
  • FHIR-hulpbronverwerking: Inheemse ondersteuning vir HL7 FHIR gesondheidsorgdatastandaarde
  • Kliniese notas deïdentifisering: Gespesialiseerde modelle vir ongestruktureerde kliniese dokumentasie
  • In-plek verwerking: Verwerk data sonder om dit uit veilige gesondheidsorgomgewings te skuif
  • Slegs gesondheidsorgorganisasies: As 100% van jou deïdentifiseringsbehoeftes gesondheidsorg PHI is

Gereelde Vrae

Wat is die verskil tussen anonym.legal en John Snow Labs?

John Snow Labs is 'n gesondheidsorg NLP-spesialis met beste-in-klas PHI-deïdentifisering vir kliniese data. anonym.legal is 'n multi-industrie platform met 285+ entiteit-tipes, omkeerbare enkripsie, en verskeie afleweringsmetodes (Chrome-uitbreiding, MCP-bediener, Office-invoegtoepassing, Desktop App, API).

Kan anonym.legal HIPAA-nakoming hanteer?

Ja. anonym.legal bespeur al 18 HIPAA-identifiseerders en ondersteun Safe Harbor-deïdentifisering. John Snow Labs het egter dieper gesondheidsorg-spesifieke funksies soos FHIR-verwerking en kliniese notasmodelle.

Watter een het beter akkuraatheid vir gesondheidsorgdata?

John Snow Labs rapporteer 96% F1-akkuraatheid op mediese NER-maatstawwe—die hoogste in die industrie vir gesondheidsorg. As jou enigste fokus kliniese PHI is, het hulle moontlik 'n voordeel. anonym.legal bied sterk gesondheidsorgdekking plus 285+ entiteit-tipes oor alle industrieë.

Bied John Snow Labs 'n Chrome-uitbreiding of MCP-bediener?

Hierdie funksies word nie op John Snow Labs se produkblad gedokumenteer nie. anonym.legal bied albei om data te beskerm voordat dit na KI-hulpmiddels gestuur word—'n belangrike onderskeid vir KI-werkvloeibeskerming.

Kan ek anonym.legal vir nie-gesondheidsorg PII gebruik?

Ja, dit is 'n belangrike voordeel. anonym.legal dek gesondheidsorg, reg, finansies, persoonlike data en 285+ entiteit-tipes oor alle industrieë. John Snow Labs spesialiseer in gesondheidsorg PHI.

Bied anonym.legal zero-knowledge verifikasie?

Ja. anonym.legal gebruik zero-knowledge verifikasie met Argon2id en HKDF. Jou wagwoord word op jou toestel verwerk — slegs 'n wiskundige bewys word na die bediener gestuur, nooit die werklike wagwoord nie.

Probeer anonym.legal Free

285+ entiteit-tipes. Alle industrieë. Omkeerbare enkripsie. Begin vandag met 200 gratis tokens.

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.