Computing system for outputting new and changed tax rules

A computerized method, comprising:

• receiving a current version of a document and a prior version of the document;
• summarizing tax-related portions of the current version of the document by inputting the tax-related portions to a trained content summarization model that summarizes current tax parameters contained in the tax-related portions;
• extracting current tax rules by inputting the summarized current tax parameters to a trained content extraction model that extracts the current tax rules from the summarized current tax parameters;
• analyzing the current tax rules by inputting the current tax rules to a trained change analysis model that determines (1) changes in the current tax rules as compared to corresponding prior tax rules contained in the prior version of the document and/or (2) new tax rules not present in the prior version of the document, wherein the trained change analysis model is a generative language model;
• and
• outputting the changes and/or the new tax rules.

A computing system, comprising:

• a processor configured to:
• receive a current version of a document and a prior version of the document;
• perform a cleaning operation at least in part by inputting the current version and the prior version of the document to a cleaning module that removes non-substantive content to generate a cleaned current version of the document and a cleaned prior version of the document;
• compare the documents at least in part by inputting the cleaned current version of the document and the cleaned prior version of the document to a comparison module that determines that the cleaned current version is different from the cleaned prior version of the document;
• segment the documents at least in part by inputting the cleaned current version and the cleaned prior version of the document to a text extraction model that performs layout-aware chunking on the cleaned current version and the cleaned prior version of the document to generate (1) cleaned current portions of the current version of the document, wherein the cleaned current portions comprise cleaned current chunks, and (2) cleaned prior portions of the prior version of the document, wherein the cleaned prior portions comprise cleaned prior chunks;
• align the documents at least in part by inputting the cleaned current portions of the current version and the cleaned prior portions of the prior version of the document to an alignment and comparison module that (1) aligns selected cleaned current portions of the current version with selected cleaned prior portions of the prior version of the document, and (2) identifies unmatched cleaned current portions in the current version of the document;
• input the unmatched cleaned current portions of the current version of the document to a chunk classification model that removes non-tax-related portions and identifies tax-related portions;
• summarize the tax-related portions of the cleaned current version of the document at least in part by inputting the tax-related portions to a trained content summarization model that summarizes current tax parameters contained in the tax-related portions;
• extract current tax rules from the summarized current tax parameters at least in part by inputting the summarized current tax parameters to a trained content extraction model that extracts the current tax rules;
• analyze the current tax rules at least in part by inputting the current tax rules to a trained change analysis model that determines (1) changes in the current tax rules as compared to corresponding prior tax rules contained in the prior version of the document and/or (2) new tax rules not present in the prior version of the document, wherein the trained change analysis model is a generative language model;
• and
• output the changes and/or the new tax rules.