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Using ANAI, citizen data scientists and other developers with limited macahine learning expertise can easily ingest data, generate insights and build/train ML models.
Classify contracts based on their content using NLP (Natural Language Processing) and review them to flag clauses that may lead to some problems in the future and automatically revise agreements.
Uncover risks within a contract and assess their impact while also monitoring, flagging and scoring such clauses based on the risks they contain.
Deploy AI-based NLP (Natural Language Processing) models to extract significant contract terms and clauses with speed and accuracy leading to a reduced approval timing.
Detect bad and underperforming contracts hidden within the database and hence save time and money for the parties involved under such contracts.