This disclosure describes use of machine learning and natural language processing techniques to assist users in reviewing terms and conditions (T&C), e.g., provided by online product and service providers. A database of T&C is created and indexed according to factors such as country, industry, application, etc. The database is utilized to identify T&C content that is common for a given industry application in a specific jurisdiction. When a user provides permission to analyze and provide assistance for a T&C document, such document is analyzed to determine a risk score. Further, any anomalous content in the T&C is flagged. The user is provided options to conduct in-depth review of the T&C, and to accept or decline various terms. When user permit, individual preferences for various terms are stored and matched to the T&C document.
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Zheng, Alex, "Automatic evaluation of contractual terms", Technical Disclosure Commons, (March 30, 2018)