4. The system according to claim 3 wherein said document discriminator comprises a metadata-based relevant-irrelevant document discriminator characterized in that said at least one metadata value correlates with relevance of said electronic documents to the issue.
4. The system according to claim 3 wherein said document discriminator comprises a metadata-based relevant-irrelevant document discriminator characterized in that said at least one metadata value correlates with relevance of said electronic documents to the issue. 8. The system according to claim 4 wherein said relevance rater comprises an electronic document analyzer receiving N electronic documents pertaining to a case encompassing a set of issues including at least one issue and establishing relevance of at least the N documents to at least one individual issue in the set of issues, the analyzer comprising: iterative apparatus for performing a plurality of machine learning iterations on said N electronic documents wherein said iterations teach said iterative apparatus to determine relevance of documents to at least one issue in said set of issues; and apparatus for determining at least one relevance determination quality criterion characterizing said iterative apparatus's current performance.