Justicia Legal AI
92%+ legal accuracy
A question-answering system for Indian law, built on a domain-fine-tuned LLM over statutes, precedents and judgments. The goal was letting someone ask a question in plain language instead of needing the right search terms to find the right case.
1 / 240% user engagement increase
92%+ QA accuracy
SnapshotAt a glance
Full Stack Developer & AI Engineer
6 months
40% user engagement increase
92%+ QA accuracy
Technologies Used
6 Technologies Integrated
Impact
Key Features
Feature Implementation
Project Vision
Make legal intelligence fast, transparent, and accurate.
Core Process
The process of Developing it.
Fine-tuned domain-specific LLMs and automated workflows.
Build notesWhat I built
03Fine-tuned AdaptLLM-13B specifically for Indian legal domain, achieving 92%+ accuracy in legal document analysis and case law retrieval by training on datasets of Indian legal precedents, statutes, and judgments, enabling context-aware legal Q&A over Indian legal precedents, statutes and judgments.
Built a scalable legal knowledge base using Supabase for vector storage and retrieval, implementing semantic search capabilities that bridge the gap between fast-moving tech and traditional legal systems, resulting in 40% increase in user engagement.
Developed an automated workflow system using n8n for legal document processing and updates, deployed on AWS with Vercel frontend, creating a platform where legal intelligence is fast, transparent, and accessible, with multi-language support for Indian legal documents.
The complexity and opacity of the Indian legal system inspired me to create a platform that makes legal information accessible and understandable for everyone.
Features
- AI-powered legal document analysis
- Real-time case law search and retrieval
- Legal precedent matching
- Multi-language support for Indian legal documents
- User-friendly interface for legal professionals
Challenges
- Legal context understanding
- Latency optimization
- Processing complex legal terminology
- Integrating multiple legal databases
