UTILIZING MACHINE LEARNING MODELS TO AUTOMATICALLY GENERATE CONTEXTUAL INSIGHTS AND ACTIONS BASED ON LEGAL REGULATIONS

摘要

A device may receive input data associated with a legal regulation, and mayprocess theinput data to generate a record that includes: the input data in a knowledgerepresentation formatand a semantic representation format, data identifying a feature, dataidentifying an industryclassification, or data identifying an entity of interest. The device mayprocess the record, withmachine learning models, to determine output data that includes: dataindicating that the legalregulation is inconsistent, data indicating that the legal regulation isoutdated, data indicating asentiment for the legal regulation, data indicating a prescriptive nature ofthe legal regulation,data indicating a complexity of the legal regulation, data indicating amisrepresentation in thelegal regulation, data indicating a compliance burden associated with thelegal regulation, or dataindicating an industry performance impact of the legal regulation. The devicemay performactions based on the output data.