Enterprises manage contracts in multiple formats, PDFs, scanned images, XML, Excel, and EDI, making accurate extraction and review challenging. Legacy OCR systems are optimized only for static PDF or image formats, and they fail when faced with semi-structured or digital-native formats. This increases manual legal review effort, slows contract lifecycle management, and raises compliance risks.
AI-powered multiformat processing enables seamless extraction of contract data across diverse formats using adaptive parsing and intelligent normalization. By handling both scanned and digital-native formats, organizations reduce manual intervention, accelerate contract review cycles, and improve compliance visibility.
This total cost of ownership calculator helps you evaluate the true ROI of the category using modern AI powered alternatives over traditional OCR based solutions.
Key Use Cases:
Multi-Format Document Processing
Processes contracts across formats such as PDF, images, XML, Excel, and EDI with adaptive parsing.
Batch Document Processing
Processes large volumes of contracts in bulk with parallel extraction to support centralized operations.
Start by selecting a typical scenario or adjust the baseline details to reflect your exact needs. The calculator will update automatically.
Legacy OCR achieves 80% accuracy and struggles with semi-structured and digital-native contract formats like XML, Excel, or EDI. Legal and compliance teams must manually review and correct extracted data, driving up costs and extending contract review timelines.
Modern AI with OCR, NLP, and adaptive parsing achieves 92% accuracy ±2% across multiple formats. While this reduces manual review significantly, generic AI cannot always detect contextual parsing errors, requiring verification before final approval and storage.
Your AI investment isn’t delivering expected savings. This may indicate inefficiencies or incorrect assumptions in your current workflow.
Contact us to identify more optimization opportunities.
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