Levin College of Law
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Electronic Discovery Data Analysis and Review

Course Number: LAW 6930 Credits: 2

This course will explore “search” or information retrieval: the central issue in e-discovery and legal defensibility of the discovery process. The course will explore the varieties of search methodology applied to e-discovery including manual search, key word search, conceptual and cluster search, revolutionary predictive coding and machine learning, and the strengths and weakness of each approach and focus on developing an intermodal legally defensible approach. Students will study case law related to search defensibility and students will engage in hands on exercises and experiments with contemporary advanced search technologies. Students will also design, structure, implement, and supervise the human review of documents identified by the search processes using advanced technologies and actual data. Students successfully completing this course will be able to effectively plan, direct, and execute e-discovery searches, participate in negotiations with the opposition during Rule 26(f) conferences, and handle court hearings regarding search methodologies and analytics. Class participants will also be prepared for and eligible to take the Catalyst User Certification examination at the conclusion of the course, if so desired.