Nia Contracts Analysis utilizes advanced Machine Learning techniques to transform the process of analyzing and reviewing contracts.
Enterprises enter into contracts with multiple stakeholders across multiple departments in their day-to-day operations. The complexity of analyzing contracts spans thousands of pages with various data-points, multiple clauses, varying price-points and time durations. This is further compounded by the complex hierarchy between the contracts, their sub-agreements and associated documents which continuously change over time. Nia Contracts Analysis utilizes advanced Machine Learning techniques which applies different kinds of learning: vision-based, semantics-based, language sequence based to transform the process of analyzing and reviewing contracts.
Nia Contracts Analysis utilizes advanced Machine Learning (ML) techniques to automate contracts extraction, risk analysis and review of unstructured contracts. It acts as a single source of truth to answer any kind of contracts related information by using the following:
Precise sentence extraction from clauses
Editable extractive summary with entity highlight
Precise table extraction of all kinds
Auto-detection of discrepancies
Continuous learning from human inputs
Workflow-powered quality check of predictions
Link connected contracts
Contract comparison to assess risks
Natural language querying
– Finalist in Best Innovation under Corporate Innovation in AI – The AIconics awards, London 2019
– Finalist in Best Innovation under Deep Learning category – The AIconics awards, London 2018
– Major contender in Intelligent Document Processing (IDP) Technology Vendor Landscape in Products PEAK Matrix™ Assessment 2019
– NASSCOM AI Game Changer Award, 2018 for Innovative Application in ML
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