Challenges
The Indian legal system faces significant challenges with case backlogs and inefficient dispute resolution processes. Traditional litigation requires physical court appearances, extensive documentation, and time-consuming analysis of legal precedents. ODR platforms can help streamline this process, but existing solutions lack sophisticated document analysis and legal reasoning capabilities.
The AI-Powered Solution
An AI-powered ODR platform was developed to automate legal document analysis, facilitate remote dispute resolution, and provide structured case evaluation. The system processes court documents, extracts relevant information, and applies legal reasoning to assist in dispute resolution.
Core Functionalities:
- Document Analysis System
- Automated extraction of case facts from legal documents
- Identification of key dates and events
- Processing of evidence and supporting materials
- Legal Analysis Engine
- Extraction of issues of fact from case documents
- Identification of legal issues from submissions
- Application of relevant laws and precedents
- Generation of preliminary case assessments
Technical Implementation:
- Backend Architecture:
- Python-based system using FastAPI
- RESTful API design
- Microservices for document processing and legal analysis
- Document Processing:
- Azure Document AI for PDF text extraction
- Structured information extraction pipeline
- Automated document classification
- Cloud Infrastructure:
- Microsoft Azure hosting
- Docker containerization
- CI/CD through Azure pipelines
- Database System:
- Azure Blob Storage for document storage
- Neo4j Graph Database for:
- Case relationship mapping
- Legal precedent connections
- Evidence linking
- User Interface:
- Streamlit-based frontend
- Document upload workflow
- Case analysis dashboard
- Legal visualization tools
Real-World Application:
The platform has been successfully implemented in processing legal disputes, demonstrating:
- Reduced case processing time through automated document analysis
- Improved consistency in case evaluation
- Enhanced accessibility through remote dispute resolution
- Efficient tracking of case progress and timelines
Technical Implementation
Tech
- Built with Python and FastAPI following REST principles
- Azure Cloud deployment using Docker containers and CI/CD pipelines
- Azure Document AI for efficient PDF text extraction
- Azure Blob Storage for JSON data persistence
- Neo4j Graph Database for managing interconnected legal case relationships
- Specialized for handling complex legal document relationships and visualizations
Services
- AI-Powered Legal Case Processing & ODR System Development
- Web App & Database Design (Frontend & Backend)
- Legal Document Analysis & Precedent Mapping
- Cloud-Based Storage & Case Management
