Amendment tracking in an online document system

A system, comprising:

• at least one processor circuitry;
• and
• at least one non-transitory storage media storing instructions, that when executed by the at least one processor, cause the at least one processor circuitry to
• receive a first document and a second document, the second document including one or more amendments to the first document, the first document including a plurality of first characters, and the second document including a plurality of second characters;
• apply a machine learning model to the first and second documents to identify a content section in a plurality of content sections corresponding to at least one amendment in the one or more amendments in the second document and a type of amendment corresponding to the at least one amendment, the machine learning model identifying the content section and the type of amendment based on at least one first character in the plurality of first characters and at least one second character in the plurality of second characters;
• determine, using the machine learning model, a first probability indicating a likelihood of the identified content section in the second document having the at least one second character is related to a content section in the first document having the at least one first character and determine, using the machine learning model, a second probability indicating a likelihood of the amendment in the second document having the at least one second character is the identified type of amendment;
• generate an amended first document based on the first document and including the at least one amendment corresponding to the identified content section identified by the machine learning model;
• generate a graphical user interface displaying the amended first document and indicating the at least one amendment and the identified type of the at least one amendment in the amended first document, the graphical user interface displaying a selectable interface element;
• and
• upon receiving a selection of the selectable interface element, perform one or more actions associated with the amended first document, performing of the one or more actions includes at least one of:
• executing an approval action associated with the amended first document, executing a disapproval action associated with the amended first document, executing an update action for updating one or more content sections in the plurality of content sections, or any combination thereof.

A computer program product comprising a non-transitory machine-readable medium storing instructions that, when executed by at least one programmable processor circuitry, cause the at least one programmable processor circuitry to perform operations comprising:

• receive a first document and a second document, the second document including one or more amendments to the first document, the first document including a plurality of first characters, and the second document including a plurality of second characters;
• apply a machine learning model to the first and second documents to identify a content section in a plurality of content sections corresponding to at least one amendment in the one or more amendments in the second document and a type of amendment corresponding to the at least one amendment, the machine learning model identifying the content section and the type of amendment based on at least one first character in the plurality of first characters and at least one second character in the plurality of second characters;
• determine, using the machine learning model, a first probability indicating a likelihood of the identified content section in the second document having the at least one second character is related to a content section in the first document having the at least one first character and determine, using the machine learning model, a second probability indicating a likelihood of the amendment in the second document having the at least one second character is the identified type of amendment;
• generate an amended first document based on the first document and including the at least one amendment corresponding to the identified content section identified by the machine learning model;
• generate a graphical user interface displaying the amended first document and indicating the at least one amendment and the identified type of the at least one amendment in the amended first document, the graphical user interface displaying a selectable interface element;
• and
• upon receiving a selection of the selectable interface element, perform one or more actions associated with the amended first document, performing of the one or more actions includes at least one of:
• executing an approval action associated with the amended first document, executing a disapproval action associated with the amended first document, executing an update action for updating one or more content sections in the plurality of content sections, or any combination thereof.