Abstract: Computer-implemented systems and methods for applying rules via artificial intelligence for document processing are disclosed. The computer-implemented system comprises a database, a memory storing instructions, and at least one processor configured to receive a plurality of documents from a customer, validate a number and type of the plurality of documents, identify a file type and format of the plurality of documents based on the selection of a plurality of machine learning models, extract and classify a first data set from the plurality of documents based on the selection of the plurality of machine learning models using the identification of the file type and the format, reconstruct the first data set into a structured data set, transform the structured data set into a customized new presentation, receive a change from a user, optimize the selection of the plurality of machine learning models, and display the modified customized new presentation.

Abstract: Computer-implemented systems and methods for applying rules via artificial intelligence for document processing are disclosed. The computer-implemented system comprises a database, a memory storing instructions, and at least one processor configured to receive a plurality of documents from a customer, validate a number and type of the plurality of documents, identify a file type and format of the plurality of documents based on the selection of a plurality of machine learning models, extract and classify a first data set from the plurality of documents based on the selection of the plurality of machine learning models using the identification of the file type and the format, reconstruct the first data set into a structured data set, transform the structured data set into a customized new presentation, receive a change from a user, optimize the selection of the plurality of machine learning models, and display the modified customized new presentation.

Abstract: Disclosed embodiments relate to systems and methods for automating loans based on a loan determination process. Techniques include receiving input data, determining whether the received input data matches a set of predetermined criteria, responsive to a determination that the received input data matches the predetermined criteria, setting user preferences, providing an interactive website interface, updating the website interface based on interactive fields, automatically determining whether to provide the requested loan, responsive to a determination to provide the requested loan, sending a loan amount to a bank account, and providing a status update to a user device.

Abstract: Computer-implemented systems and methods for applying rules via artificial intelligence for document processing are disclosed. The computer-implemented system comprises a database, a memory storing instructions, and at least one processor configured to receive a plurality of documents from a customer, validate a number and type of the plurality of documents, identify a file type and format of the plurality of documents based on the selection of a plurality of machine learning models, extract and classify a first data set from the plurality of documents based on the selection of the plurality of machine learning models using the identification of the file type and the format, reconstruct the first data set into a structured data set, transform the structured data set into a customized new presentation, receive a change from a user, optimize the selection of the plurality of machine learning models, and display the modified customized new presentation.

Abstract: The present disclosure pertains to a system and method for determining differences between at least two documents. A preferred embodiment disclosed herein pertains to a system and method for determining differences in the text or terms of legal documents, for example transactional legal agreements, such as but not limited to Trade Confirmations. The document review system can compare text documents to other text documents but is further capable of comparing text documents to structured spreadsheet data. The combination of static component verification in combination with dynamic component verification leads to a powerful tool which greatly reduces the time and efficient of document review while reducing the risk of human errors. Utilizing word embeddings in the static verification in combination with the use of named entity recognition, rule parsers in the dynamic verification, enables the system to produce concise and meaningful summaries of differences between multiple documents.

Abstract: The present disclosure pertains to a system and method for determining differences between at least two documents. A preferred embodiment disclosed herein pertains to a system and method for determining differences in the text or terms of legal documents, for example transactional legal agreements, such as but not limited to Trade Confirmations. The document review system can compare text documents to other text documents but is further capable of comparing text documents to structured spreadsheet data. The combination of static component verification in combination with dynamic component verification leads to a powerful tool which greatly reduces the time and efficient of document review while reducing the risk of human errors. Utilizing word embeddings in the static verification in combination with the use of named entity recognition, rule parsers in the dynamic verification, enables the system to produce concise and meaningful summaries of differences between multiple documents.