Artificial intelligence systems for automated evaluation of electronic documents and feedback generation

A system for automated comment generation within an electronic document, the system comprising:

• at least one processor;
• and
• a memory subsystem communicatively coupled to the at least one processor, the memory subsystem storing instructions which, when executed by the at least one processor, cause the at least one processor to perform operations comprising:
• ingesting a first electronic document comprising text and an image;
• extracting semantic information from the text and the image of the first electronic document based on using at least one of a native text extraction, an optical character recognition, or an image extraction;
• segmenting the extracted semantic information into a plurality of content groups comprising at least a first content group and a second content group, the first content group comprising legal clauses and the second content group comprising legal disclaimers;
• determining a adequacy score of the one or more legal disclaimers, the adequacy score representing disclaimer coverage across predefined regulatory evaluation criteria;
• generating, based on using one or more large language models (LLMs), an
• evaluation comment associated with the one or more legal clauses;
• modifying the evaluation comment based on the disclaimer adequacy score;
• and
• generating and outputting a second electronic document derived from the first electronic document, wherein the second electronic document is a structured computer file comprising content of the first electronic document and the modified regulatory comment mapped to one or more locations corresponding to the one or more the legal clauses within the first electronic document.