Legal-Research-GraphRAG
Legal Research Assistant streamlines legal research with LangChain, Neo4j, and Google Generative AI. It aids legal professionals in case law research, statute lookup, legal analysis, and document drafting, combining graph-based retrieval with natural language understanding for precise insights.
Details
- Author
- SURESHBEEKHANI
- Category
- Data & Research
- Platform
- GitHub
- Framework
- langchain
- Language
- jupyter notebook
- Stars
- 8
- First indexed
- 2026-05-15
- Last active
- 2025-02-03
- Directory sync
- 2026-05-15
Overview
Legal Research Assistant streamlines legal research with LangChain, Neo4j, and Google Generative AI. It aids legal professionals in case law research, statute lookup, legal analysis, and document drafting, combining graph-based retrieval with natural language understanding for precise insights.
Quick start
git
git clone https://github.com/SURESHBEEKHANI/Legal-Research-GraphRAGSnippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.
What Legal-Research-GraphRAG can do
- Research — Searches sources and synthesises evidence-based answers.
- Hr — Handles people operations such as hiring and policy Q&A.
- Assistant — Acts as a personal helper for everyday tasks.
- Legal — Reviews legal text (always with a disclaimer).
- Rag — Retrieves grounded context before answering.
Frequently asked questions
What is Legal-Research-GraphRAG?
How do I install Legal-Research-GraphRAG?
Is Legal-Research-GraphRAG open source?
What are alternatives to Legal-Research-GraphRAG?
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Source & freshness
Profile data for Legal-Research-GraphRAG is sourced from GitHub, published by SURESHBEEKHANI.
Last scraped: · First indexed:
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