Machine-Learned Natural Language Document Processing System

A computer system comprising:

• memory configured to store a document database and a machine learning model, wherein the document database includes multiple historical documents each having at least one version labeled as compliant and at least one version labeled as non-compliant;
• a creator user interface configured to receive a submitted document from a document creator device for automated document compliance processing;
• a compliance user interface configured to transmit the submitted document to a compliance team device for document compliance review;
• an automated distribution module for transmitting an approved document to a customer computing device;
• a model building module configured to obtain the multiple historical documents from the document database and train the machine learning model to classify a document according to a compliance score indicating a likelihood of document compliance with one or more compliance criteria, using the versions of the multiple historical documents that are labeled as compliant and non-compliant as training data;
• and
• an orchestrator module configured to:
• receive the submitted document from the creator user interface;
• supply the submitted document to the machine learning model;
• receive the compliance score for the submitted document from the machine learning model;
• determine whether the compliance score is greater than or equal to a compliance score threshold;
• and
• in response to a determination that the compliance score is greater than the compliance score threshold, supply the submitted document to the compliance user interface for transmission to the compliance team device.