Abstract: Embodiments of the present disclosure provide a method that may include defining an object model containing a structural representation of events and artefacts through which contracts are created, changed, and brought to an end. The method may include accessing a machine learning classifier comprising a plurality of rule sets. The method may include applying the plurality of rule sets to one or more words of each corresponding contract document. The method may include linking identified one or more core attributes and one or more words of each corresponding contract document to an applicable object of the object model, determining prevailing terms of each corresponding contract document, and evaluating contract data variables and assigning a contract data risk value to one or more of contract data values. The method may include alerting a user when a contract risk exceeds a threshold value.

Abstract: The present disclosure provides for a method of machine representation and tracking of contract terms over the lifetime of a contract including a step of defining an object model having object model components. Object model components are associated with other object model components where the object model components have object model component types. Further, words of object model components are evaluated to identify whether the words contain one or more core attributes pertaining to details of the contract terms. From the object model components, and the terms they contain, prevailing terms of the contract are evaluated, stored and updated as changes are made to the object model components.

Abstract: The present disclosure provides for a method of machine representation and tracking of contract terms over the lifetime of a contract including a step of defining an object model having object model components. Object model components are associated with other object model components where the object model components have object model component types. Further, words of object model components are evaluated to identify whether the words contain one or more core attributes pertaining to details of the contract terms. From the object model components, and the terms they contain, prevailing terms of the contract are evaluated, stored and updated as changes are made to the object model components.

Abstract: The present disclosure provides for a method of machine representation and tracking of contract terms over the lifetime of a contract including a step of defining an object model having object model components. Object model components are associated with other object model components where the object model components have object model component types. Further, words of object model components are evaluated to identify whether the words contain one or more core attributes pertaining to details of the contract terms. From the object model components, and the terms they contain, prevailing terms of the contract are evaluated, stored and updated as changes are made to the object model components.

Abstract: The present disclosure provides for a method of machine representation and tracking of contract terms over the lifetime of a contract including a step of defining an object model having object model components. Object model components are associated with other object model components where the object model components have object model component types. Further, words of object model components are evaluated to identify whether the words contain one or more core attributes pertaining to details of the contract terms. From the object model components, and the terms they contain, prevailing terms of the contract are evaluated, stored and updated as changes are made to the object model components.