ENTERPRISE RAG
Legal Document Intelligence Platform
Automated contract analysis and Q&A across 100K+ legal documents with 95%+ accuracy using advanced RAG and OCR.
Contract.pdf
OCR Parsing
• Risk: Minimal
• Extract: Complete
• Accuracy: 99.4%
95% Time Saved
90%
Time saved in analysis
95%
Extraction accuracy
ClientCorporate Legal Group
Timeline12 Weeks
Team Size3 Engineers
CapabilityENTERPRISE RAG
The Challenge
Reviewing thousands of active vendor agreements for compliance clauses was slow and error-prone.
The Approach
1
OCR pipeline
High-accuracy PDF text extraction.
2
Clause Mapping
Extracted legal clauses and risk metrics automatically.
Outcomes & Impact
Reduced contract review time by 90%, with 95% audit accuracy.
Key Lessons Learned
✓
Vector search alone is insufficient for structured freight and customs queries; hybrid search with RRF is mandatory.
✓
Document chunking must align with layout structures (headers and tables) rather than fixed character offsets.
✓
Reranking is the highest leverage, lowest cost way to improve recall in large document sets.
"The custom search engine built by Botmartz changed how our operations team works. They recover hours every day and container routing errors have dropped to near zero."
MV
Markus Vance
VP of Operations, Global Logistics Leader
Core Technologies
LlamaIndexOCRReactAWS
Development Team
KG
Karan Goel
AI Engineer
PB
Promit Basu
AI/ML Engineer
SS
Sanjay Singh
Lead Architect
Related Cases
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