Abstract: In one embodiment, a method includes using a first computing device to access digital data representing a contract set of contract documents and digital contract metadata, weight differences between data field values, use the weighted differences to calculate distance scores, use the distance scores and a temporal ordering of the contract documents to generate and cause displaying a time curve graph comprising a geometric shape that comprises time curves and a spatial proximity at a second computing device, a measure of each time curve calculated to indicate an amount of time between a creation of two contract documents, the spatial proximity calculated to indicate a metric of similarity between the contract documents, in response to determining that the geometric shape indicates a lack of convergence over a threshold amount of time, generate and cause displaying a notification indicating that the contract set is at risk at the second computing device.

Abstract: In one embodiment, a method includes using a first computing device to access digital data representing a contract set of contract documents and digital contract metadata, weight differences between data field values, use the weighted differences to calculate distance scores, use the distance scores and a temporal ordering of the contract documents to generate and cause displaying a time curve graph comprising a geometric shape that comprises time curves and a spatial proximity at a second computing device, a measure of each time curve calculated to indicate an amount of time between a creation of two contract documents, the spatial proximity calculated to indicate a metric of similarity between the contract documents, in response to determining that the geometric shape indicates a lack of convergence over a threshold amount of time, generate and cause displaying a notification indicating that the contract set is at risk at the second computing device.

Abstract: In one embodiment, a method includes storing digital data representing a contract set of contract documents, storing digital contract metadata identifying data fields and associated data types with respectively assigned weights in each contract document, identifying and weighting differences between data field values, calculating distance scores based on the weighted differences, generating and causing displaying a time curve graph based on the distance scores and a temporal ordering of the contract documents, the time curve graph including a geometric shape that graphically indicates time curves and a spatial proximity between the contract documents, performing a digital geometric analysis of the time curve graph to identify whether the geometric shape indicates a lack of convergence over a threshold amount of time, in response to determining that the geometric shape indicates the lack of convergence, generating and causing displaying a notification indicating that the contract set is at risk.

Abstract: In an embodiment, a computer-implemented method comprises storing, in one or more data repositories, digital data representing a contract set of two or more contract documents comprising a template document and one or more contract document versions based on the template document; storing, in one or more data repositories, digital contract metadata, the digital contract metadata including data identifying one or more data fields in each contract document of the contract set, data specifying the data type of the one or more data fields in each contract document of the contract set, and weights assigned to each data type; generating and causing displaying, at a computer associated with a contract administrator, a time curve graph based on the contract set and contract metadata, the time curve graph graphically indicating similarities between contract documents in the contract set and a temporal ordering of contract documents in the contract set; determining whether the contract set is at risk by performing a di