Case Study: Sterne, Kessler, Goldstein & Fox achieves high-speed, automated OCR and searchable PDFs with Foxit Software PDF Compressor

Global Law Firm Resolves Firm-Wide Bottleneck and Increases Business Eciency

Sterne Kessler Goldstein & Fox, a prestigious U.S.-based global law firm, faced a firm-wide bottleneck converting high volumes of paper and image-based PDFs into searchable electronic files. Their existing OCR workflow processed only one document at a time, creating slow, manual workflows and a need for a server-based, high-throughput solution that could handle bulk scanning, barcode splitting, and create text-searchable PDFs for distribution.

The firm deployed Foxit PDF Compressor, a server-based, multi-threaded solution to perform bulk OCR, compression and barcode-based PDF splitting, producing optimized, text-searchable documents. The implementation delivered dramatically faster processing and OCR throughput, automated workflows that cut manual scanning and costs, and increased employee efficiency by enabling concurrent processing and highly accurate searchable output.

Sterne, Kessler, Goldstein & Fox