anonym.legal

By · Last updated 2026-06-15

Lahat ng Paghahambing
Enterprise NLP vs. Regex

anonym.legal vs Caviard.ai

Ang Caviard.ai ay isang Chrome extension na gumagamit ng regex patterns para sa PII detection, na nakakamit ng 60–75% recall na may 15–30% false positive rates — hindi sapat para sa regulated compliance work. Ang 3-layer NLP engine ng anonym.legal ay naghahatid ng 92–98% recall sa lahat ng 48 languages na may deterministic, auditable na mga resulta sa web, desktop, Office Add-in, at lahat ng browsers.

Magsimula ng Libreng PagsubokTingnan ang Presyo

Alamin ang higit pa tungkol sa Caviard.ai

Paghahambing ng mga Tampok

Tampokanonym.legalCaviard.ai
Detection TechnologyYesRegex patterns lamang
Entity Types285+~30–50 patterns
Language Support48 languagesLimited (regex gaps sa non-ASCII)
Platform SupportYesChrome extension lamang
Per-Entity Confidence ScoringYesHindi
Deterministic ResultsYesPattern-based lamang
Recall RateYes60–75%
False Positive RateYes15–30%
ISO 27001YesHindi documented
Compliance Audit TrailYesHindi
Reversible EncryptionAES-256-GCMHindi (local browser processing)
Office Add-inYesHindi
PricingFree to €29/moHindi published

Ang paghahambing ay batay sa pampublikong impormasyong makukuha. Ang "Hindi natagpuan" ay nangangahulugang hindi nakadokumento ang tampok sa pahina ng produkto. Huling na-update noong Pebrero 2026.

Bakit Piliin ang anonym.legal

Lahat ng Browsers + Desktop — Hindi Chrome-Only

Ang anonym.legal ay gumagana sa Chrome, Firefox, Edge, Safari, at bilang desktop app. Ang Caviard.ai ay isang Chrome extension — ang staff na gumagamit ng iba pang browsers ay nakakakuha ng walang proteksyon.

Deterministic NLP vs. Regex Patterns

Ang anonym.legal ay gumagamit ng 3-layer NLP (Presidio + spaCy + XLM-RoBERTa transformers). Ang Regex ay hindi maaaring maintindihan ang context: ito ay nawawalan ng location entities, kinokonfuse ang company names sa text, at nabibigo sa lahat ng non-ASCII scripts.

ISO 27001 Certified Infrastructure

Ang anonym.legal ay tumatakbo sa Hetzner Germany na may ISO 27001 certification. Ang Caviard.ai ay walang documented security certifications.

48 Languages vs. Regex Gaps

Ang Regex-based detection ay nabibigo sa German umlauts, Arabic, Chinese, Hebrew, at iba pang non-ASCII characters. Ang multilingual NLP ng anonym.legal ay sumasaklaw sa 48 languages natively.

Per-Entity Confidence Scoring

Bawat detection ay may kasamang 0–100% confidence score at ang rule/model na nag-trigger dito — kinakailangan para sa legal defensibility at HIPAA audit trails. Ang Caviard.ai ay nagbibigay ng walang confidence scoring.

285+ Entity Types

Country-specific IDs na may checksum validation, 48-language NER, medical record numbers, financial identifiers. Ang Caviard.ai ay sumasaklaw sa ~30–50 regex patterns.

Kailan ang anonym.legal ay ang tamang pagpipilian

Ang anonym.legal ay lumalampas sa Caviard.ai kapag:

  • Kailangan mo ng compliance-grade recall (92–98%) sa halip na basic pattern matching (60–75%)
  • Ang iyong team ay gumagamit ng Firefox, Edge, Safari, o desktop applications — hindi lamang Chrome
  • Nag-proseso ka ng multilingual content: German, French, Arabic, Chinese, Hebrew, o sinuman sa 48 languages
  • Kailangan mo ng per-entity confidence scores at audit trails para sa HIPAA, GDPR, o e-discovery
  • Kailangan mo ng reversible anonymization — mag-decrypt ng placeholders kapag kinakailangan ng batas

Mga Madalas Itanong

Ano ang pagkakaiba sa pagitan ng regex-based at NLP-based PII detection?

Ang Regex patterns ay tumutugma sa fixed text structures (e.g., SSN format). Sila ay nawawalan ng context-dependent PII: mga pangalan sa mga pangungusap, location entities, at anumang pattern na bahagyang nagbabago. Ang NLP models ay nauunawaan ang language context — ang 3-layer pipeline ng anonym.legal (Presidio + spaCy + XLM-RoBERTa) ay nakakamit ng 92–98% recall kumpara sa 60–75% para sa regex-only tools tulad ng Caviard.ai.

Gumagana ba ang Caviard.ai sa Firefox, Edge, o Safari?

Hindi. Ang Caviard.ai ay isang Chrome extension at gumagana lamang sa Chrome-based browsers. Ang anonym.legal ay gumagana sa lahat ng pangunahing browsers sa pamamagitan ng web app, nagbibigay ng dedicated Chrome at Edge extensions, at may kasamang standalone Desktop App para sa Windows, macOS, at Linux.

Anong security certifications ang mayroon ang Caviard.ai?

Ang Caviard.ai ay hindi nag-publish ng ISO 27001 o SOC 2 certifications. Ang anonym.legal ay tumatakbo sa Hetzner Germany infrastructure na may ISO 27001 certification, GDPR-compliant na data processing agreements, at zero-knowledge authentication na verified ng independent security audit.

Paano ang anonym.legal ay tumutugon sa multilingual PII na nawawalan ang Caviard.ai?

Ang Regex patterns ay nabibigo sa non-ASCII characters: German umlauts (ä, ö, ü), Arabic script, Chinese characters, Hebrew letters. Ang NLP models ng anonym.legal ay trained sa 48 languages at tumutugon sa character normalization, Unicode boundaries, at language-specific ID formats (German Personalausweis, French NIR, Arabic national IDs, atbp.).

Anong false positive rates ang maaari kong asahan?

Ang regex approach ng Caviard.ai ay gumagawa ng 15–30% false positive rates — flagging ng non-PII text bilang sensitive. Ito ay lumilikha ng hindi kinakailangang redaction ng legitimate content. Ang NLP pipeline ng anonym.legal ay binabawasan ang false positives sa ilalim ng 5% sa pamamagitan ng contextual understanding, confidence scoring thresholds, at per-entity override controls.

Nagbibigay ba ang anonym.legal ng audit trails para sa compliance?

Oo. Bawat detection ay may kasamang entity type, confidence score, detection method (rule ID o model name), at timestamp — lumilikha ng defensible audit trail para sa HIPAA, GDPR, at e-discovery requirements. Ang Caviard.ai ay hindi nagbibigay ng per-detection audit trails.

Enterprise NLP PII Detection

92–98% recall. 48 languages. All browsers + Desktop. ISO 27001. Free to start.

Magsimula ng Libreng PagsubokTingnan pa ang mga Paghahambing

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.