24. A system for identifying related documents, the system comprising: means, including a processor and memory, for searching at least one database for a set of one or more related second documents based on content of an input document; a support vector machine for identifying one or more of the related second documents as more probably related to the input document than one or more of the other related second documents; and wherein the support vector machine comprises: support-vector processor means, including a processor and memory, for defining a multi-dimensional feature vector for each related second document, with the vector having a set of features including a similarity feature indicating similarity of at least a portion of the related second document to a portion of the input document wherein each of the feature vectors is based on a title similarity score for one or more portions of a said related second document and the input document.
24. A system for identifying related documents, the system comprising: means, including a processor and memory, for searching at least one database for a set of one or more related second documents based on content of an input document; a support vector machine for identifying one or more of the related second documents as more probably related to the input document than one or more of the other related second documents; and wherein the support vector machine comprises: support-vector processor means, including a processor and memory, for defining a multi-dimensional feature vector for each related second document, with the vector having a set of features including a similarity feature indicating similarity of at least a portion of the related second document to a portion of the input document wherein each of the feature vectors is based on a title similarity score for one or more portions of a said related second document and the input document. 26. The system of claim 24 , wherein the means for searching the database for a set of one or more related documents based on content of the input document comprises: means for extracting one or more party entities from the input document; and means searching the database based on one or more of the party entities.