Rocket Close transforms mortgage document processing with Amazon Bedrock and Amazon Textract

This article describes how Rocket Close, a mortgage document processing company, transformed manual document processing using Amazon Textract and Amazon Bedrock, achieving 15x faster processing with 90% accuracy.

• Processes 2,000 abstract packages daily; manual extraction took 10 hours per package
• Two-stage pipeline: Amazon Textract for OCR, Amazon Bedrock for intelligent extraction
• Handles 60+ document classes including mortgages, deeds, judgments, and tax documents
• Advanced prompt engineering with domain-specific knowledge integration improved accuracy
• Reduced processing time from 30 minutes to under 2 minutes per package
• Achieved 90% overall accuracy across 44,000+ data fields in large-scale testing
• Designed to scale to 500,000+ documents annually with elastic cloud architecture
• Significant cost savings and improved data consistency for downstream operations

The solution demonstrates how generative AI can automate complex document-intensive workflows in the mortgage industry, enabling faster service delivery and enterprise-scale cost reduction.