Transforming Legal Data Processing with AI
D-Law is a Hong Kong-based legal intelligence and due-diligence platform working with millions of structured litigation records dating back to 1990.
Business Challenge
D-Law faced a manual operational bottleneck: new court proceedings arrived every day with complex source files, bilingual legal jargon, tables and other difficult formatting. A dedicated team was required for daily data entry and checking, limiting scalability.
Solution Strategy
We built a tailored AI data-ingestion pipeline that combines AI-OCR, LLM-based data structuring, human-in-the-loop verification and natural-language querying over the structured database.
Key Capabilities
AI-OCR extraction for complex legal files
LLM conversion of extracted content into structured data
Human verification interface for accuracy-sensitive fields
Natural-language querying over the resulting database
Technology & Architecture
- MultiLLM AI Platform custom AI pipeline
- OCR/document processing
- LLM structuring
- Database integration
- Natural-language query layer
Outcome
reduction in manual staff
court proceedings processed
faster document processing
- A more structured, analytics-ready legal data environment
Client Perspective
Processing daily court proceedings used to be our biggest operational bottleneck. MultiLLM AI Platform didn’t just give us an OCR tool; they built an AI pipeline that actually understands the context of complex, bilingual legal documents. We’ve cut our manual data entry resources in half, increased document processing speed by 70%, and future-proofed our entire database.
What This Demonstrates
This project demonstrates our ability to combine workflow analysis, software engineering, data processing and AI into an operational solution rather than treating AI as a standalone feature.
Build a Similar Solution
If your organisation has a comparable document, data or workflow challenge, we can assess the process and propose a phased solution.