Data & Research · GitHub ·5 ★

graphrag-legal-demo

GraphRAG for Legal AI: Context-aware contract analysis using Neo4j, OpenAI and the CUAD dataset.

Details

Author
thomasbln
Category
Data & Research
Platform
GitHub
Framework
openai
Language
typescript
Stars
5
First indexed
2026-05-15
Last active
2026-03-18
Directory sync
2026-05-15

Overview

GraphRAG for Legal AI: Context-aware contract analysis using Neo4j, OpenAI and the CUAD dataset.

Quick start

git

git clone https://github.com/thomasbln/graphrag-legal-demo

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What graphrag-legal-demo can do

  • Contract — contract task automation.
  • Hr — Handles people operations such as hiring and policy Q&A.
  • Legal — Reviews legal text (always with a disclaimer).
  • Data — Reads, transforms, and analyses structured data.
  • Rag — Retrieves grounded context before answering.

Frequently asked questions

What is graphrag-legal-demo?
GraphRAG for Legal AI: Context-aware contract analysis using Neo4j, OpenAI and the CUAD dataset.
How do I install graphrag-legal-demo?
Use git: `git clone https://github.com/thomasbln/graphrag-legal-demo`. Full setup details on the source page linked above.
Is graphrag-legal-demo open source?
graphrag-legal-demo is published on GitHub.
What are alternatives to graphrag-legal-demo?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for graphrag-legal-demo is sourced from GitHub, published by thomasbln.

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