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With text-mining software, which finds patterns and insights from collections of documents, one powerful capability identifies related words. The software models the words in a corpus (all the documents) into topics. Latent Dirichlet Allocation (LDA) is one of the algorithms which carries out such topic modeling. In the legal industry, LDA can work its wonders on any set of documents: client satisfaction comments, documents obtained in discovery or due diligence, annual reports, hot line replies, survey answers, and other sources.

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