Abstract: A Methodology for identifying secondary concepts that are included in one or more documents in a collection of documents is disclosed. Training information is manually created from a subset of a collection of documents and used by a primary concept identification function to process textual information contained in the documents included in the collection of documents to identify primary concepts included in the collection of documents. Each of the primary concepts included in the collection of documents is used as input to a secondary concept identification function which results in the identification of secondary concepts included in each of the primary concepts. A query is generated and used as input to both the primary and secondary concept identification functions and the result of both the operation of both of these functions on the query is compared to the identified secondary concepts.

Abstract: A contract characteristic identification application includes a user interface, a plurality of contract characteristic definitions, a natural language processing module and a characteristic identification function. At least one contract characteristic is defined and evaluated and the text of at least one contract is entering into the application. A document evaluation function included in the natural language processing module operates to evaluate the contents of the text of the contract against the defined contract characteristic and returns a listing of contract text that is closest to the defined contract characteristic of interest.

Abstract: A Methodology for identifying secondary concepts that are included in one or more documents in a collection of documents is disclosed. Training information is manually created from a subset of a collection of documents and used by a primary concept identification function to process textual information contained in the documents included in the collection of documents to identify primary concepts included in the collection of documents. Each of the primary concepts included in the collection of documents is used as input to a secondary concept identification function which results in the identification of secondary concepts included in each of the primary concepts. A query is generated and used as input to both the primary and secondary concept identification functions and the result of both the operation of both of these functions on the query is compared to the identified secondary concepts.