A prominent legal firm faced ongoing delays due to the manual handling of multi-page patient records. Their teams were spending up to three days per batch organizing documents by provider, date, and report type—an essential but tedious step in preparing for legal review. With case volumes growing and each record set stretching across hundreds of pages, the firm needed a faster, more reliable way to structure patient data without compromising on accuracy.
The legal firm partnered with Rannsolve to integrate its AI-driven Cognitive Data Extractor (CDE) into their existing systems. CDE is designed to intelligently read and classify every page in patient documents. Using advanced natural language processing (NLP) and layout-aware models, the system extracts metadata like provider name, report type, and date, then auto-generates folders to group records accordingly. This end-to-end automation eliminated the need for manual sorting, significantly reducing preparation time while maintaining high accuracy.
With CDE, their grouping accuracy reached 96%, and processing time for each batch dropped from 3 days to just 4 hours. With the ability to handle over 500,000 pages per month, the firm gained the scalability it needed to keep pace with increasing workloads.
Share this case study
Comprehensive Solutions – Driven by AI Innovation – Transforming Business