Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium that receives a set of requirements that are associated with a workpiece to be completed. A specification can be generated that specifies a set of components that are required to complete the workpiece. A particular subset of the component sources can be selected to source the set of components that are required to complete the workpiece using one or more machine learning-trained models. The set of sourced components can be obtained from component sources. A particular validation source can be selected to validate at least a portion of the sourced components of the set. At least a portion of the sourced components of the set can be validated. The completed workpiece can be generated using the set of sourced components including the validated portion of the sourced components and provided for output.

Abstract: Disclosed is a method for the electronic processing and monitoring of foreclosure litigation. The method allows users to inputted information related to a series of foreclosure cases. This inputted information is stored in a database. On-line court records are then automatically searched to gather records related to the foreclosure litigation. A comparison is made between the inputted and gathered information. Discrepancies between the two data sets can then be highlighted and corrected. The method also allows various rules to be applied to the gathered data. Based upon these rules, recommendations can be automatically generated regarding the progress of the litigation. The system allows law firms to mitigate risk on behalf of their clients and increase the speed by which foreclosure matters progress through the legal system.