Rizzo-AI-Academy

    Rizzo-AI-Academy/rizzo-pii

    Local-first privacy guard: anonymize your documents before sharing with LLMs.

    llm
    deep-learning
    anonymization
    gdpr
    italian
    legal-tech
    local-first
    Python
    MIT
    1.2K stars
    94 forks
    1.2K GitHub watchers
    Updated Oct 31, 2026
    View on GitHub

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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:0.3B is 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.

    Excerpt from the Rizzo-AI-Academy/rizzo-pii README on GitHub (MIT license). © its authors.Read the full README on GitHub

    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

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