Automated Clause Extraction
System
Project Overview
Legal organizations handle contracts in multiple formats, including scanned PDFs, images, and legacy documents. Extracting clauses manually from such documents is slow and error-prone especially when documents are poorly scanned or handwritten.
We built an Automated Clause Extraction System using advanced OCR technology to digitize contracts and extract structured clause-level data. The system converts unstructured legal documents into searchable, machine-readable formats ready for review and analysis.
Results & Business Impact
70% reduction in manual clause extraction effort
Improved accuracy of digitized legal contracts
Faster access to legacy contract data
Reduced document processing backlog
Enhanced legal workflow efficiency
Business Challenges
The client faced document processing challenges:
- Contracts available only as scanned or image-based files
- Poor document quality affecting readability
- Manual data entry leading to errors
- Difficulty locating specific clauses
- No structured contract data repository
- Limited automation in legacy document workflows
These challenges slowed legal operations and increased risk.
What We Delivered
We delivered an OCR-powered contract digitization and clause extraction solution:
- High-accuracy OCR for scanned and image-based contracts
- Layout-aware text extraction
- Clause segmentation and labeling
- Structured output for legal systems
- Confidence scoring for extracted data
- Secure document storage and retrieval
This enabled faster access to contract content without manual effort.
OCR Automation for Legal Documents
Digitize contracts and extract clauses faster with AI.
Explore OCR Solutions
Proposed Architecture & Design
The OCR architecture was designed for precision:
- Document ingestion supporting PDFs and images
- Advanced OCR models for printed and handwritten text
- Layout and section detection
- Clause-level segmentation logic
- API-based data export to legal platforms
- Secure cloud-based processing
This ensured consistent and accurate data extraction.
Scalability & Future Roadmap
Planned enhancements include:
- Multi-language contract OCR
- AI-assisted clause classification
- Automated contract indexing
- Integration with contract lifecycle management systems
- Legal document analytics and insights
Final Summary
This Automated Clause Extraction System enabled Legal Tech teams to digitize contracts at scale, extract structured clause data, and modernize legacy legal document workflows using advanced OCR technology.
The Details
Location
UK
Industry
Legal Tech
Duration
8 Months
Technology We Used
Tech StackTechnology Skill Coverage
Decade of Innovation and Impact
With a decade of innovation and impact, our journey has been marked by a relentless pursuit of excellence and a commitment to driving success for our clients. Over the past 10+ years, we have honed our skills and expanded our expertise across 15+ diverse industries.
Let's Connect