About the Client
A legal services firm based in California, operating across the United States, handling a high volume of scanned contracts and mixed document types (PDFs, images, IDs) as part of its day-to-day casework.
Service Area
AI-Enhanced OCR & Document Management System (DMS) Implementation
Tool Stack
Nablasol DMS, OCR text-extraction engine, AI document-categorization
The Challenge
- A large, growing volume of scanned contracts and documents had to be read, keyed in, and filed by hand.
- Manual data entry was slow and error-prone.
- Once filed, documents couldn’t be searched; critical information was hard to retrieve when needed.
The Approach
- Implemented a Document Management System integrated with OCR to auto-extract text from scanned documents, images, and PDFs.
- Added an AI layer that automatically categorizes document types (contracts, PDFs, driver’s licenses, etc.) for organized storage and retrieval.
- Enabled batch processing so multiple documents are handled in a single pass.
- Built in a human review-and-edit step so extracted text is verified before it’s saved to the DMS.
- Converted every saved document into a searchable format, on a platform designed to scale with rising volumes.
The Result
For this California legal firm, automating OCR extraction and AI categorization removed the bulk of manual data entry, reduced keying errors, and turned a backlog of static scanned contracts into an organized, searchable archive, achieved through batch OCR processing, automated document classification, and a review-and-edit step that keeps outputs accurate.
If your team is spending real hours moving information off scanned documents by hand, let’s take a look together.
Book a Free Systems Audit, and we’ll walk through your current document workflow and analyze where automation genuinely fits and where it doesn’t.
