In describing predictive coding systems, it’s important to distinguish document-based systems from corpus-based systems. Document-based systems make their predictions based on the similarity of each document to a single, previously-categorized document. Corpus-based systems are, in addition, able to use higher-order properties of groups of previously-categorized documents to make their predictions. Because of this advantage, corpus-based systems are less affected by errors in coding individual documents. Continue reading →