Utilizing machine learning models to automatically generate contextual insights and actions based on legal regulations

A device, comprising:

• one or more memories;
• and
• one or more processors, communicatively coupled to the one or more memories, to:
• receive input data associated with a legal regulation;
• format the input data, with one or more natural language processing techniques, to generate formatted input data;
• process the formatted input data to generate a record that includes one or more of:
• the input data in a knowledge representation format,
• the input data in a semantic representation format,
• data identifying a feature associated with the input data,
• data identifying an industry classification associated with the input data, or
• data identifying an entity of interest associated with the input data;
• process the record, with one or more machine learning models, to determine output data that includes one or more of:
• data indicating that the legal regulation is inconsistent,
• data indicating that the legal regulation is outdated,
• data indicating a sentiment for the legal regulation,
• data indicating a prescriptive nature of the legal regulation,
• data indicating a complexity of the legal regulation,
• data indicating a misrepresentation in the legal regulation,
• data indicating a compliance burden associated with the legal regulation, or
• data indicating an industry performance impact of the legal regulation;
• and
• perform one or more actions based on the output data.

A non-transitory computer-readable medium storing instructions, the instructions comprising:

• one or more instructions that, when executed by one or more processors, cause the one or more processors to:
• receive input data associated with a legal regulation;
• process the input data to generate a regulation analytical record that includes one or more of:
• the input data in a knowledge representation format,
• the input data in a semantic representation format,
• data identifying a feature associated with the input data,
• data identifying an industry classification associated with the input data, or
• data identifying an entity of interest associated with the input data;
• process the regulation analytical record, with one or more machine learning models, to determine output data that includes one or more of:
• data indicating that the legal regulation is inconsistent,
• data indicating that the legal regulation is outdated,
• data indicating a sentiment for the legal regulation,
• data indicating a prescriptive nature of the legal regulation,
• data indicating a complexity of the legal regulation,
• data indicating a misrepresentation in the legal regulation,
• data indicating a compliance burden associated with the legal regulation, or
• data indicating an industry performance impact of the legal regulation;
• and
• perform one or more actions based on the output data,
• wherein the one or more actions include one or more of:
• providing, to a client device, the output data via an interactive user interface that includes a dashboard and a search functionality,
• assigning a task associated with the legal regulation and based on the output data, or
• generating, based on the output data, a custom survey campaign for the legal regulation.