Handbook of Marketing Analytics
Methods and Applications in Marketing Management, Public Policy, and Litigation Support
Edited by Natalie Mizik and Dominique M. Hanssens
Abstract
Litigation presents significant challenges involving the identification, sorting, and analysis of large amounts of data. Machine learning, which utilizes algorithms and systems that improve their performance with experience to classify information and to make predictions, is well-suited to these tasks. In this chapter, we discuss current machine learning applications in legal practice, as well as some potential applications of these techniques in support of expert witness testimony in commercial litigation.
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