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 defining a multi-dimensional feature vector for each candidate document, with a set of features including a similarity feature indicating similarity of at least a portion of the candidate legal case to a portion of the document and the multi-dimensional feature vectors using support-vector processing.
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 defining a multi-dimensional feature vector for each candidate document, with a set of features including a similarity feature indicating similarity of at least a portion of the candidate legal case to a portion of the document and the multi-dimensional feature vectors using support-vector processing. 3. The method of claim 1 , wherein the documents are legal opinions.