1. A computerized method implemented using a processor and memory, the method comprising: extracting information from a first document; retrieving a set of one or more second documents based on the extracted information; identifying one or more of the set of second documents as more probably related to the first document than one or more others of the second documents using a learning machine; and wherein identifying the one or more of the second set of documents includes defining a multi-dimensional feature vector for each second document, with the vector having a set of features including a similarity feature indicating similarity of at least a portion of the second document to a portion of the first document and processing the multi-dimensional feature vector using support-vector processing.