8. The method of claim 7 , wherein the standard exact clause and the at least one of the clause example and the variable comprise exact one or more words in a same order.
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.