By George Curta · Last updated 2026-06-11
功能对比
| 功能 | anonym.legal | Wald.ai |
|---|---|---|
| 主要方式 | Data Sanitization (replace PII with placeholders) | 网关删除 |
| 定价 | Free to €29/mo | 企业（联系销售） |
| 免费额度 | Yes | 未找到 |
| 提示清理 | Yes | 是 |
| 上下文感知删除 | Yes | 是 |
| 检测的实体类型 | 285+ | 未指定 |
| 语言支持 | 48 languages | 未指定 |
| Reversible Encryption | AES-256-GCM | 未指定 |
| 覆盖的 AI 平台 | Yes | ChatGPT、Claude、Gemini |
| 浏览器插件 | Yes | 未找到 |
| MCP 服务器（AI 工具） | Yes | 未找到 |
| 桌面应用（本地） | Yes | 未找到 |
| Office 集成 | Yes | 未找到 |
| LibreOffice 扩展 | Yes | 未找到 |
| 欧盟数据驻留 | Germany (Hetzner) | 未指定 |
| 零知识认证 | Yes | 未找到 |
本对比基于公开可获得的信息。“未找到”表示产品页面未有相关功能说明。最后更新于2026年2月。
为什么选择anonym.legal
透明定价
Free tier with 200 tokens/month. Paid plans from €3/month. No enterprise-only pricing, no sales calls.
285+ 实体类型
Comprehensive PII detection with country-specific identifiers across 48 languages.
Reversible Encryption
AES-256-GCM encryption with decrypt capability. Essential for legal discovery and audits.
多个集成点
Chrome Extension, MCP Server, Desktop App, Office Add-in, LibreOffice Extension, REST API.
48 种语言
Multilingual PII detection with spaCy, Stanza, and XLM-RoBERTa NLP engines.
欧盟数据驻留
All processing in Germany (Hetzner). ISO 27001-certified.
零知识认证
Argon2id zero-knowledge authentication. Password never leaves your device.
When Wald.ai Might Be Better
Wald.ai may suit certain enterprise scenarios:
- Gateway architecture: Prefer a centralized proxy between all users and AI providers
- Enterprise procurement: Already in an enterprise procurement cycle with Wald.ai
- Context-aware AI: Need context-aware redaction tuned specifically to AI prompt structure
- Managed deployment: Want a fully managed enterprise AI security layer
常见问题解答
How do anonym.legal and Wald.ai compare for AI prompt protection?
Both sanitize prompts before they reach AI models. anonym.legal offers transparent pricing (free to €29/month), 285+ entity types across 48 languages, reversible encryption, and multiple tools (Chrome Extension, MCP Server, Desktop App). Wald.ai provides enterprise-grade gateway redaction with custom pricing.
Does anonym.legal support context-aware redaction?
Yes. anonym.legal uses hybrid detection (regex + NLP + ML) with 285+ entity types that understand context — distinguishing between a person's name and a company name.
Which supports more languages?
anonym.legal explicitly supports 48 languages with dedicated NLP models. Wald.ai's language support is not specified on their product page.
Can I try anonym.legal before committing?
Yes. Permanent free tier with 200 tokens per 30-day cycle. No credit card, no time limit.
Which has more integration options?
anonym.legal provides 6 integration methods: Chrome Extension, MCP Server, Desktop App, Office Add-in, LibreOffice Extension, REST API. Wald.ai operates primarily as a centralized AI gateway.
Does anonym.legal offer zero-knowledge auth?
Yes. Argon2id + HKDF. Password never leaves your device.
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.