11. The method of claim 7 , further comprising: automatically replacing available variations of one or more of the standard clauses in the plurality of documents with additional variables; and comparing additional clauses and additional clause examples to obtain additional standard exact clauses, the additional clauses obtained from the plurality of documents with the available variation replaced with the additional variables, the additional standard exact clauses comprising the additional clauses matching respective ones of the additional clause examples and the additional variables.
7. A computer implemented method for determination of standard exact clauses and non-standard clauses from a plurality of documents, the method comprising: obtaining a primary policy comprising one or more features, a clause example, and a first threshold for generating a plurality of feature replaced clauses by automatically replacing one or more of the original clauses in the plurality of documents with a feature of the one or more features; comparing each of the plurality of feature replaced clauses and a clause example using a semantic language evaluator to obtain a first feature data set comprising standard clauses; automatically replacing an available variation of one of the standard clauses in the plurality of documents with a variable; comparing a clause and at least one of the clause example and the variable, the clause obtained from the plurality of documents with the available variation replaced with the variable; obtaining, in response to the comparison, the standard exact clause comprising the clause matching at least one of the clause example and the variable; obtaining a second feature data set encompassing the first feature data set, the second feature data set corresponding to a secondary policy, the secondary policy comprising the one or more features, the clause example, and a second threshold for use in the semantic language evaluator; obtaining a difference data set comprised of a difference between the first feature data set and the second feature data set, the difference data set comprising a non-standard clause, the non-standard clause being semantically related to but not matching the clause example; and updating, automatically in response to obtaining the difference data set, a database to identify the standard exact clause and the non-standard clause from the plurality of documents.