Machine Learning Extraction of Free-Form Textual Rules and Provisions From Legal Documents

A non-transitory computer-readable medium having computer-readable instructions stored thereon which, when executed by a computer system, cause the computer system to perform the steps of:

• electronically receiving, by the legal rules extraction engine, a document;
• processing the document using a first trained model executed by the legal rules extraction engine to classify the document into a document class;
• processing the document using a second trained model executed by the legal rules extraction engine to extract rules within the document conditional on the document class identified by the first trained model;
• extracting a plurality of data variables from the document by processing the classified features in the document using a third trained model executed by the legal rules extraction engine;
• generating by the legal rules extraction engine an output vector based on the plurality of data variables;
• and
• displaying the output vector by the legal rules extraction engine at the user interface.

A system for autonomously extracting legal rules from documents using machine learning, comprising:

• a computer system comprising a machine learning legal rules extraction engine, a user interface, and a memory;
• a legal rules extraction engine executed by the computer system, the engine:
• processing the document using a first trained model executed by the legal rules extraction engine to classify the document into a document class;
• processing the document using a second trained model executed by the legal rules extraction engine to extract rules within the document conditional on the document class identified by the first trained model;
• extracting a plurality of data variables from the document by processing the classified features in the document using a third trained model executed by the legal rules extraction engine;
• generating by the legal rules extraction engine an output vector based on the plurality of data variables;
• and
• displaying the output vector by the legal rules extraction engine at the user interface.

A system for autonomously extracting legal rules from documents, the system comprising a legal rules extraction engine, a user interface, and a memory, the memory containing a set of instructions that, when executed by the legal rules extraction engine, cause the legal rules extraction engine to:

• electronically receive a document;
• classify the document into a document class of a plurality of document classes;
• extract rules within the document conditional on the document class;
• extract a plurality of data variables from the document by processing the extracted rules;
• generate an output vector based on the plurality of data variables;
• and
• display at the user interface the output vector.