Rocket Close, a title and appraisal management firm, has successfully modernized the laborious task of mortgage document processing by integrating generative AI into its daily operations. Previously, the company grappled with a massive influx of 2,000 abstract packages every day—each spanning roughly 75 pages. This volume created a severe operational bottleneck, requiring an estimated 1,000 hours of manual labor daily just to keep pace with the demand for property assessments and loan risk analysis.

By partnering with the AWS Generative AI Innovation Center, Rocket Close deployed a two-stage pipeline to handle these complex legal bundles. First, a high-fidelity scanning tool (OCR) converts images and PDFs into machine-readable text while preserving the original structural layout. Next, advanced foundation models categorize the documents and extract specific data points into a structured format. This system identifies over 60 distinct document classes, ranging from deeds of trust to tax liens, with a high degree of precision across heterogeneous formats.

The operational impact is staggering. Individual package processing time plummeted from 30 minutes to less than two minutes, representing a 15-fold increase in workflow efficiency. With an overall accuracy rate of 90%, the system significantly reduces human error while allowing the firm to scale for future growth without a linear increase in staffing costs. This transformation highlights how enterprise-grade AI can dissolve long-standing administrative friction in highly regulated sectors like finance.

Rocket Close, a title and appraisal management firm, has successfully modernized the laborious task of mortgage document processing by integrating generative AI into its daily operations. Previously, the company grappled with a massive influx of 2,000 abstract packages every day—each spanning roughly 75 pages. This volume created a severe operational bottleneck, requiring an estimated 1,000 hours of manual labor daily just to keep pace with the demand for property assessments and loan risk analysis.

By partnering with the AWS Generative AI Innovation Center, Rocket Close deployed a two-stage pipeline to handle these complex legal bundles. First, a high-fidelity scanning tool (OCR) converts images and PDFs into machine-readable text while preserving the original structural layout. Next, advanced foundation models categorize the documents and extract specific data points into a structured format. This system identifies over 60 distinct document classes, ranging from deeds of trust to tax liens, with a high degree of precision across heterogeneous formats.

The operational impact is staggering. Individual package processing time plummeted from 30 minutes to less than two minutes, representing a 15-fold increase in workflow efficiency. With an overall accuracy rate of 90%, the system significantly reduces human error while allowing the firm to scale for future growth without a linear increase in staffing costs. This transformation highlights how enterprise-grade AI can dissolve long-standing administrative friction in highly regulated sectors like finance.