kipeum86

kipeum86 / legal-agent-orchestrator

Public

An AI legal workflow running on Claude Code. Eight legal agents — each with their own jurisdiction, knowledge base, and MCP tools — collaborate to produce legal opinions with full audit trails.

29
7
100% credibility
Found Apr 15, 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 coordinates a team of specialized AI assistants posing as lawyers in a virtual firm to generate detailed, auditable legal opinions on topics like Korean and EU privacy laws, contracts, and game regulations.

How It Works

1
🔍 Discover Jinju Law Firm

You stumble upon this clever AI law firm online where a team of smart helpers acts like real lawyers to tackle tough legal questions.

2
💻 Bring it home

Download the project to your Mac or Linux computer to get ready for action.

3
👥 Gather the team

Use the easy setup to assemble eight specialist lawyer helpers, each an expert in areas like privacy rules, contracts, or game laws.

4
📜 Connect law sources

Sign up for free access to official Korean law info and link it so your team can pull in real rules and cases.

5
💬 Meet the boss

Open the chat window to talk directly with the managing partner who runs the firm.

6
❓ Ask your question

Share your legal puzzle in Korean or English, like advice on data privacy or game rules, and feel the excitement build.

7
🤝 Watch them work

The boss sorts it out, hands it to the right experts who research, write, check, and even debate, with every move recorded.

📄 Hold your opinion

Celebrate getting a polished legal report in Word, complete with graded sources, full story of what happened, and client-ready advice.

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AI-Generated Review

What is legal-agent-orchestrator?

This Python project runs an AI law firm powered by Claude Code, where eight specialist agents—covering Korean PIPA, EU GDPR, game law, contracts, and more—collaborate like a real github law firm hierarchy to generate legal opinions. Users drop a query in Korean or English, and the orchestrator classifies it, routes to experts, and delivers a full opinion in MD and DOCX with an audit trail in events.jsonl. It solves black-box legal AI by providing transparent, evidence-based outputs from primary sources via MCP tools.

Why is it gaining traction?

Unlike single-LLM law llm github tools or framework-wrapped agents, it reuses standalone Claude agents 100% unmodified for genuine multi-specialist debate across jurisdictions, producing client-ready docs with source grades and revision logs. Developers dig the setup.sh script that clones the team, the samples folder with real cases, and zero SaaS dependency—pure local Claude Code runtime. The hook is audit trails that make outputs defensible, standing out in open law github and github law ai spaces.

Who should use this?

Game devs querying international regs like loot box rules, privacy engineers comparing PIPA and GDPR compliance, or Korean firms needing quick opinions on statutes. Ideal for law firm new york or law firm london teams prototyping AI assistants, or indie devs building law firm mlo fivem mods with legal checks—anywhere agent orchestration meets real legal workflows.

Verdict

Early alpha with 19 stars and 1.0% credibility score, but solid README, Korean/English docs, and runnable samples make it worth forking for experiments. Skip for production; great for hacking your own law paul github agents.

(198 words)

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