anonyme2704

anonyme2704 / legi-milei

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Étude de simplification du droit codifié français : 69 codes et 366 504 articles classés par un LLM selon une grille à trois catégories (indispensable / facultatif / à supprimer). Posture audacieuse, charge de la preuve inversée. Code, prompts et 70 PDFs d'analyses publiés en open source.

28
1
100% credibility
Found Apr 29, 2026 at 28 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This project uses AI to classify every section of 69 French legal codes into indispensable, facultative, or removable categories using a bold simplification grid inspired by Javier Milei.

How It Works

1
🔍 Discover the law simplifier

You hear about a clever tool that scans all French laws to spot what's truly essential for society and economy.

2
📥 Download the law collection

Grab the official bundle of current French legal codes—it's big, like a digital library of rules.

3
📋 Choose a law book

Pick one law code to review, such as taxes, work, or defense, from the handy list.

4
🤖 Connect the smart reviewer

Link up a thinking helper that reads law sections and decides if they're must-keep, optional, or gone.

5
▶️ Run the big review

Hit go, and it pours over thousands of law parts, sorting them into green keep, yellow maybe, or red delete.

📄 Enjoy your report

Get a beautiful PDF with charts, rankings, and insights on what laws could be simplified or cut.

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AI-Generated Review

What is legi-milei?

Legi-milei uses an LLM to classify all 366,504 articles across 69 French codified droit codes into three categories: indispensable, facultatif, or à supprimer. Inspired by Javier Milei's radical reforms, it applies an audacieuse grille with inverted charge of proof—presuming laws superfluous unless proven essential. Developers get Python scripts to reproduce the analysis on LEGI snapshots, plus 70 PDFs d'analyses and CSV exports of classifications.

Why is it gaining traction?

It stands out by tackling the full legi corpus in one go, delivering bold stats like 97% suppressible under its Milei grille, with per-code breakdowns highlighting fiscal codes as prime targets. Reproducible via NVIDIA NIM API calls and idempotent CLI runs, it skips recompute on existing data, outputting ready-to-share PDFs. The open prompts and methodology let users tweak for custom droit audits.

Who should use this?

Legal tech builders prototyping LLM-driven law reviews, policy wonks simplifying French codes, or researchers mapping bloat in sector-specific droit like urbanisme or tourism. Ideal for French devs parsing LEGI data who want a baseline grille for indispensable vs facultatif triage.

Verdict

Intriguing proof-of-concept with solid docs and outputs, but at 28 stars and 1.0% credibility, it's early-stage—treat LLM calls as signals needing human vetting. Grab it for legi experiments if you're into audacieuse reform plays.

(198 words)

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