Rizzo-AI-Academy/rizzo-pii
Local-first privacy guard: anonymize your documents before sharing with LLMs.
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SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
1 release in the last 90 days, the latest 84 days ago, with 19 contributors on GitHub.
Use Cases & Benefits
- Provides a local-first, reversible anonymization tool for Italian legal documents to protect personal data before sharing with large language models.
- Ensures GDPR-compliant privacy by anonymizing sensitive identifiers locally on CPU without sending real data to external servers, preserving data control and security.
- Use for anonymizing Italian legal and financial documents in law firms to safely leverage cloud-based LLMs without exposing personal identifiers.
- Use for integrating privacy-preserving preprocessing in legal-tech applications that require handling Italian-specific personal data like codice fiscale and partita IVA.
- Use for researchers or developers needing a lightweight, CPU-friendly PII detection and reversible pseudonymization model tailored to Italian legal text.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
- Contributing guide: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
Use frontier models without giving up your data.
📄 Read the full technical report (PDF) — model, dataset, method and experiments in detail
🪟 Windows installer · 🍎 macOS (Apple Silicon) · 🐧 Linux AppImage — all available now
rizzo-pii:0.3Bis a lightweight, CPU-friendly, Italian-first token-classification model (≈0.3B parameters, mmBERT / ModernBERT backbone) that detects 22 categories of personal data — including the Italian-legal identifiers (codice fiscale, partita IVA, dati catastali) that no other open model covers — and drives a fully reversible anonymization workflow:🔒 anonymize locally → 🏷️ placeholder + reversible local dictionary → ☁️ frontier LLM → 🔓 restore locally
It is built for law firms, accountants, notaries and anyone bound by the GDPR who wants to keep using ChatGPT / Claude / Gemini on sensitive documents without ever sending the real data out.
People summarize contracts, draft replies and ask legal questions simply by pasting the document in. It is fast and useful — and it quietly moves enormous amounts of personal and confidential data off the user's device. Names, addresses, tax codes, IBANs, health details, unsigned-contract clauses: all of it crosses the network to servers the user does not control, where it may be logged, cached, retained or exposed in a breach. For a law firm or a hospital this is not hypothetical; under the GDPR it can be a direct compliance failure.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
94+14
Open issues
86+9
Compared with peers in LLM
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| thedotmack/claude-mem | 113.6K | +8.8K | 35 | today |
| NVIDIA/auto-ontology | 7.5K | +5.6K | 37 | — |
| HKUDS/DeepTutor | 55.5K | +5.5K | 65 | 5 days ago |
| affaan-m/ECC | 297.9K | +5.2K | 63 | 35 days ago |
| DietrichGebert/ponytail | 185.3K | +5.1K | 60 | 7 days ago |
| Rizzo-AI-Academy/rizzo-pii | 1.2K | — | 38 | 84 days ago |
| Category median | 113.6K | +5.5K | 60 | — |
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