Data & Research · GitHub ·13 ★

navilaw-ai

AI powered legal research engine. The system is based on multi AI agentic RAG systems leveraging the power of Llama3 LLM

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Details

Author
devroopsaha744
Category
Data & Research
Platform
GitHub
Framework
langchain
Language
jupyter notebook
Stars
13
First indexed
2026-05-15
Last active
2025-08-12
Directory sync
2026-05-15
@devroopsaha744

Overview

AI powered legal research engine. The system is based on multi AI agentic RAG systems leveraging the power of Llama3 LLM

Quick start

git

git clone https://github.com/devroopsaha744/navilaw-ai

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

What navilaw-ai can do

frameworkresearchlegaldatarag
  • Framework — framework task automation.
  • Research — Searches sources and synthesises evidence-based answers.
  • 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 navilaw-ai?
AI powered legal research engine. The system is based on multi AI agentic RAG systems leveraging the power of Llama3 LLM
How do I install navilaw-ai?
Use git: `git clone https://github.com/devroopsaha744/navilaw-ai`. Full setup details on the source page linked above.
Is navilaw-ai open source?
navilaw-ai is published on GitHub.
What are alternatives to navilaw-ai?
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 navilaw-ai is sourced from GitHub, published by devroopsaha744.

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