Abstract
Predictive coding provides exciting opportunities to leverage “big data” for law firms. Most obviously, predictive coding can lower costs and save time associated with large collections of electronic discovery. But dealing with smaller groups of documents continues to be time consuming and costly. The article borrows concepts from linguistics to propose a method of creating Boolean search terms in discovery. This method relies on reviewing a random sampling of documents to serve as inputs and generates key terms based on differences between the relevant and irrelevant documents.
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