Method and system for classifying dataset based on license risk analysis

A computerized method comprising:

• identifying, by at least one processor, a context including at least one license clause for each of a plurality of datasets;
• determining, by the at least one processor, one license classification class of a plurality of predefined license classification classes for each of the plurality of datasets based on the identified context using at least one artificial intelligence model;
• associating, by the at least one processor, the determined one license classification class with an identifier of each of the plurality of datasets and storing the plurality of datasets in at least one memory;
• receiving, by the at least one processor, an input signal for inputting condition information including at least one target dataset or target classification class that is a target of license risk analysis;
• loading, by the at least one processor, at least a part of the plurality of datasets stored in the at least one memory through the at least one artificial intelligence model, generating at least one dataset or classification class matching the condition information as recommendation information, and storing the generated recommendation information in the at least one memory;
• and
• outputting, by the at least one processor, the generated recommendation information through a user interface.