Machine learning-based document splitting and labeling in an electronic document system

A computer-implemented method, comprising:

• receiving, using at least one processor, a document package comprising a set of pages for a set of component documents;
• identifying, using the at least one processor, a subset of pages from the set of pages corresponding to a component document of the set of component documents using a first machine learning model;
• identifying, using the at least one processor, a document topic for the component document using a second machine learning model;
• and
• presenting, using the at least one processor, the component document and corresponding document topic on a user interface of an electronic display.

A system, comprising:

• at least one processor;
• and
• at least one memory storing instructions that, when executed by the at least one processor, cause the at least one processor to:
• receive a document package comprising a set of pages for a set of component documents;
• identify a subset of pages from the set of pages corresponding to a component document of the set of component documents using a first machine learning model;
• identify a document topic for the component document using a second machine learning model;
• and
• present the component document and corresponding document topic on a user interface of an electronic display.

A non-transitory computer-readable storage medium, the computer-readable storage medium including instructions that when executed by at least one processor, cause the at least one processor to:

• receive a document package comprising a set of pages for a set of component documents;
• identify a subset of pages from the set of pages corresponding to a component document of the set of component documents using a first machine learning model;
• identify a document topic for the component document using a second machine learning model;
• and
• present the component document and corresponding document topic on a user interface of an electronic display.