7. The method of claim 1 , the method also comprising: performing a plurality of machine learning iterations on said N electronic documents wherein said iterations determine relevance of documents to at least one issue in said set of issues; determining at least one relevance determination quality criterion characterizing current relevance determination performance; and estimating a cost effectiveness of continued iterations on said at least N electronic documents vs. termination thereof.
7. The method of claim 1 , the method also comprising: performing a plurality of machine learning iterations on said N electronic documents wherein said iterations determine relevance of documents to at least one issue in said set of issues; determining at least one relevance determination quality criterion characterizing current relevance determination performance; and estimating a cost effectiveness of continued iterations on said at least N electronic documents vs. termination thereof. 9. The method according to claim 7 wherein said estimating includes computing a budget required to enable continued iterations.