Case Study: DBL Law achieves automated batch OCR and searchable PDFs with DocsCorp's contentCrawler

How DBL Law converts image files to searchable PDFs using batch OCR processing

DBL Law (Dressman Benzinger LaVelle psc), a full-service law firm, was struggling with a large volume of image-based, non-searchable files (scanned PDFs, TIFFs) that hurt staff productivity, discovery intake, and regulatory compliance. Their PDF editor’s OCR was too manual and unreliable for large batches, so the firm assessed DocsCorp and chose its contentCrawler batch OCR solution to address the problem.

DocsCorp’s contentCrawler was deployed to run against folders and the firm’s iManage document management system, operating 24/7 to automatically OCR historical and newly profiled documents and save text-layered versions back into iManage. The automated batch processing removed manual OCR steps, sped discovery intake, ensured files are searchable for compliance, and — according to IT Director Rob Andres — increased the document management system’s search power two-fold while eliminating time-consuming manual work.

DBL Law

Rob Andres

IT Director