The author proposes a theoretical application of information theory to quantify various aspects of patent law, such as lexical ambiguity and originality in innovation. Topics discussed include the foundations of information theory published by mathematician and engineer Claude Shannon, ways to quantify a message's probability, and instances where information theory-centric approaches may be used by companies to identify and avoid textual ambiguity in patent documents.