OCR Processing

The Challenge

Many legal documents—especially scanned contracts, exhibits, and filings—arrive as image-based PDFs. These files can’t be searched, edited, or analyzed by AI without first converting them into machine-readable text. Most legal teams rely on third-party tools for OCR, adding manual steps and slowing down workflows.

How to Unplex

Unplex includes automatic OCR processing for all scanned documents. When you upload an image-based PDF to a project, it’s automatically converted into searchable, machine-readable text—ready for review, preview, or AI assistance. No extra tools, no extra steps.

Technical Implementation

• Automatic OCR Engine: Detects and converts image-based files on upload
• Language-Aware Recognition: Supports OCR in English, German, French, and multilingual documents
• Integrated With Document Pipeline: OCR output flows directly into indexing, preview, and AI modules
• Secure Cloud Processing: All OCR tasks run within Unplex’s encrypted Microsoft Azure infrastructure
• No User Setup Required: OCR works silently in the background—no configuration needed

Key Capabilities

• Seamless OCR Conversion: Instantly converts scanned documents to text on upload
• Multi-Language Recognition: Recognizes legal content in multiple languages with high accuracy
• AI-Ready Output: OCR results are directly usable by Unplex’s legal agents and writing tools
• Fully Integrated: No need for third-party OCR software or manual conversion
• Searchable Text: All OCR-converted documents become searchable within the platform

Legal Professionals Can Now

• Save hours per matter by skipping manual OCR steps
• Make scanned contracts, filings, or evidence usable for AI review
• Reduce tech stack complexity by consolidating tools
• Ensure all project documents are searchable and analyzable from day one

Performance Impact

• 100% of scanned PDFs made AI-ready automatically
• Significant time savings during matter intake and document review
• Elimination of external OCR tools and manual file handling

Looking Ahead

We’re enhancing OCR capabilities to support layout-aware text extraction—preserving tables, signatures, and formatting for even more accurate analysis and editing downstream.