Client
International Law Firm
Created an intelligent document analysis system that reduced legal research time by 80% using GPT-4 and semantic search.
-80%Research Time
10k/dayDocument Processing
98%Accuracy
$2M/yearCost Savings
Legal Document Intelligence Platform
Project Summary
Developed a comprehensive AI-powered legal research and document analysis platform for a top-tier international law firm.
Business Need
The firm was facing:
- Thousands of hours spent on manual legal research
- Inconsistent document review quality
- Difficulty finding relevant precedents
- High billable hour costs passed to clients
Solution Architecture
Core Components
-
Document Ingestion Pipeline
- OCR for scanned documents
- Automated classification
- Metadata extraction
-
AI Analysis Engine
- GPT-4 for contract analysis
- Custom NER for legal entities
- Semantic similarity search
- Citation extraction and validation
-
User Interface
- Natural language query interface
- Interactive document annotation
- Collaborative review tools
- Case law citation network
Implementation
Technology Stack
- OpenAI GPT-4 Turbo
- LlamaIndex for document retrieval
- Elasticsearch for full-text search
- Neo4j for citation networks
- React frontend with real-time updates
Key Features
- Instant case law search across 50+ years of records
- Automated contract clause extraction and analysis
- Risk assessment for new agreements
- Precedent matching with 98% accuracy
Measurable Results
- ⏱️ 80% reduction in legal research time
- 📄 10,000+ documents processed daily
- 🎯 98% accuracy in precedent matching
- 💵 $2M annual savings in research hours
- 📈 30% increase in billable efficiency
Awards & Recognition
- Legal Tech Innovation Award 2024
- Featured in Legal Technology Review
- Adopted by 150+ attorneys firm-wide
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