21. A method for analyzing a plurality of documents, comprising: receiving the plurality of documents via a computing device; executing instructions stored in memory, wherein execution of the instructions by a processor generates an initial set based on random sampling of a subset of the plurality of documents on a static basis and on a rolling load basis; receiving a user input from the computing device, the user input based on an identified subject or category; reviewing the initial set and the user input to determine at least one seed set parameter associated with the identified subject or category; and coding a first portion of the plurality of documents, based on the initial set and the at least one seed set parameter associated with the identified subject or category.
21. A method for analyzing a plurality of documents, comprising: receiving the plurality of documents via a computing device; executing instructions stored in memory, wherein execution of the instructions by a processor generates an initial set based on random sampling of a subset of the plurality of documents on a static basis and on a rolling load basis; receiving a user input from the computing device, the user input based on an identified subject or category; reviewing the initial set and the user input to determine at least one seed set parameter associated with the identified subject or category; and coding a first portion of the plurality of documents, based on the initial set and the at least one seed set parameter associated with the identified subject or category. 22. The method of claim 21 , further comprising applying confidence threshold validation testing on one or more of the plurality of documents.