Machine evaluation of contract terms

One or more non-transitory computer-readable storage media storing one or more sequences of instructions which, when executed by one or more processors, cause of the one or more processors to execute:

• defining in a computer memory an object model containing a structural representation of events and artifacts through which contracts are created, changed, and brought to an end, the object model including contract transaction objects and contract document objects, wherein the contract transaction objects correspond to one or more actions associated with a contract;
• associating one or more of the contract document objects with one or more corresponding contract transaction objects, wherein the one or more of the contract document objects each contain a corresponding contract document;
• accessing a machine learning classifier comprising a plurality of rule sets that classify natural language words and clauses of contracts, the plurality of rule sets having been formed via training a machine learning algorithm on contract documents, contract clauses, contract sentences and contract phrases, the plurality of rule sets comprising document rule sets, contract transaction rule sets, and clause classification rule sets, the machine learning classifier further comprising one or more of industry-specific rule sets or customer-specific rule sets;
• applying the plurality of rule sets to one or more words of each corresponding contract document to identify one or more core attributes of the one or more words pertaining to details of the corresponding contract document;
• determining prevailing terms of each corresponding contract document by evaluating one or more child contract transaction objects to build a single set of contract data variables;
• evaluating the contract data variables and assigning a contract risk value;
• and
• when a contract risk value exceeds a threshold value, communicating an alert via email or text message.