By George Curta · Last updated 2026-05-28
anonym.legal vs Polymer DLP
Polymer DLP provides SaaS-native data loss prevention scanning cloud applications for sensitive data. anonym.legal focuses specifically on AI prompt protection — sanitizing sensitive data with placeholders before it reaches ChatGPT, Claude, Gemini, and other AI models.
Learn more about Polymer DLP
Feature Comparison
| Feature | anonym.legal | Polymer DLP |
|---|---|---|
| Primary Approach | Data Sanitization (replace PII with placeholders) | SaaS DLP scanning |
| Pricing | Free to €29/mo | Enterprise (contact sales) |
| Free Tier | Yes | Not found |
| Prompt Sanitization | Yes | Partial (redaction in SaaS) |
| Entity Types | 285+ | NLP-based (not specified) |
| Language Support | 48 languages | Not specified |
| Reversible Encryption | AES-256-GCM | Not found |
| SaaS App Scanning | Yes | Yes |
| Slack/Teams Integration | Yes | Yes |
| Browser Extension | Yes | No |
| MCP Server (AI Tools) | Yes | No |
| Desktop App | Yes | No |
| Office Integration | Yes | No |
| EU Data Residency | Germany (Hetzner) | Not specified |
| Zero-Knowledge Auth | Yes | Not found |
Comparison based on publicly available information. "Not found" indicates feature not documented on product page. Last updated February 2026.
Why Choose anonym.legal
AI-Specific Protection
Purpose-built for AI prompt sanitization.
285+ Entity Types
48 languages with country-specific identifiers.
Reversible Encryption
AES-256-GCM. Decrypt for legal discovery.
Multiple Tools
Chrome Extension, MCP Server, Desktop App, Office Add-in, LibreOffice Extension, REST API.
48 Languages
Multilingual PII detection with spaCy, Stanza, and XLM-RoBERTa.
Transparent Pricing
Free tier + plans from €3/month.
EU Data Residency
Germany (Hetzner). ISO 27001.
When Polymer DLP Might Be Better
Polymer DLP suits SaaS-centric data protection:
- SaaS application scanning: Need to scan Slack, Teams, Google Workspace
- Real-time SaaS monitoring: Want continuous monitoring of cloud app content
- SaaS remediation: Need automated redaction within SaaS platforms
- Compliance scanning: Require regular scans of SaaS data for compliance
Frequently Asked Questions
How do the approaches differ?
Polymer DLP scans SaaS apps for sensitive data. anonym.legal sanitizes data before sending to AI models — different protection points.
Does Polymer DLP protect AI prompts?
Polymer focuses on SaaS scanning. anonym.legal is purpose-built for AI prompt sanitization.
Can I use both?
Yes. Polymer for SaaS scanning, anonym.legal for AI prompt protection.
Which supports more languages?
anonym.legal: 48 languages. Polymer DLP: not specified.
How does pricing compare?
Polymer: enterprise-only. anonym.legal: free tier + plans from €3/month.
Does anonym.legal scan SaaS applications?
No. anonym.legal focuses on PII anonymization in documents and prompts.
Try anonym.legal Free
AI-specific data protection. 285+ entity types. 48 languages. Start free.
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.