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lawglance

An open-source RAG legal assistant providing automated query answering on Indian constitutional and statutory acts.

RAG-powered AI assistant for Indian legal retrieval

Access structured legal information from major Indian statutes using multi-agent RAG workflows.

Free forever · open source · Apache-2.0
✓ Needs IT✓ Browser-based✓ Real-time collaboration
6.6
ZEKAI
Promising RAG for Indian law.
Free & open source · Legal
Ease of setup5
Usefulness7
Maintenance9.5
Community5
★ 333
GITHUB
Sep 2026
UPDATED
Apache-2.0
LICENSE
🛠 Don't want to self-host? We can set it up →
⚡ Quick answer

LawGlance is an open-source Retrieval-Augmented Generation (RAG) tool designed to answer queries on Indian laws and statutes. Built with LangChain, LangGraph, CrewAI, and Django, it helps legal researchers and citizens navigate complex acts without manual searches.

Runs on
Web
Hosting
Self-host
Languages
Jupyter Notebook
License
Apache-2.0

What it is

The tool embeds key legal frameworks like the Bharatiya Nyaya Sanhita, Consumer Protection Act, and Indian Constitution into ChromaDB vector storage. It processes user queries through multi-agent workflows built on LangGraph and CrewAI to retrieve relevant legal provisions.

Who it's for

It suits Indian legal practitioners, law students, and developers building specialized legal retrieval systems. It is not suitable for users seeking advice on non-Indian legal jurisdictions without performing custom data ingestion.

Key features

Multi-Agent Workflows

Coordinates complex legal retrieval and reasoning using CrewAI and LangGraph backends.

Indian Statute Coverage

Pre-indexed vector knowledge covering key acts like the Bharatiya Nyaya Sanhita and POCSO Act.

ChromaDB Vector Retrieval

Employs Retrieval-Augmented Generation via ChromaDB for semantic legal text search.

Django Interface

Provides a web application architecture backed by a Django framework.

How to start

Up and running in 3 steps

1
Test the execution workflow directly using the provided Google Colab notebook.
2
Set up the Python backend environment with LangChain, ChromaDB, and CrewAI dependencies.
3
Configure the Django web application to process legal queries against your vector store.
Real talk

Our honest verdict

What's great

  • Covers major 2023 Indian penal and procedural code updates.
  • Uses modular multi-agent architecture via LangGraph and CrewAI.
  • Offers a Google Colab notebook for quick experimentation.
  • Built with Apache-2.0 open-source licensing.

Where it falls short

  • Currently tailored primarily to Indian national acts and codes.
  • Requires hosting vector databases and Python backends to run independently.
  • Needs technical knowledge of LangChain and Django for customization.
Cost

Pricing & license

LawGlance is free under the Apache-2.0 license. You must cover your own hosting infrastructure, vector database storage, and LLM API costs.

Paid work

Open remote AI-training roles

876 open remote AI-training roles, updated November 15, 2026; most pay $20–$170 an hour. Zekai lists them free; the application goes to the employer’s platform.

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Questions

FAQ

Which legal frameworks are pre-configured in LawGlance?

LawGlance covers the Indian Constitution, Bharatiya Nyaya Sanhita 2023, Bharatiya Nagarik Suraksha Sanhita 2023, Bharatiya Sakshya Adhiniyam 2023, and several other acts.

Can LawGlance be adapted for statutes outside India?

Yes, you can ingest customized legal documents into ChromaDB using the underlying LangChain pipeline.

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