Enterprises manage thousands of contracts every year, each containing critical obligations, risks, and financial terms. Traditional review processes are manual, time-consuming, and error-prone, leading to delayed decision-making, missed obligations, and compliance risks. Contract analytics addresses these challenges by automating extraction, classification, and summarization of contract data.
By leveraging AI-driven summarization and classification, organizations can achieve rapid visibility into contractual obligations, risks, and key terms. This reduces legal review time, improves compliance, and accelerates business workflows.
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:
Contract Summarization
Uses AI summarization to highlight key terms, obligations, and risks for rapid understanding.
Contract Classification
Classifies contracts by type and purpose for example NDAs, service agreements, purchase agreements, employment contracts for faster routing and retrieval.
Start by selecting a typical scenario or adjust the baseline details to reflect your exact needs. The calculator will update automatically.
Legacy OCR solutions typically operate at 80% accuracy, requiring heavy manual review of extracted contract data. Legal teams spend significant time verifying key terms and correcting errors, which increases costs and delays processing.
Modern AI solutions that combine OCR, NLP, and vision models can achieve 92% accuracy ±2%, significantly reducing manual effort. However, since generic AI cannot precisely flag errors, legal analysts are still required to verify extracted data before approvals.
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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