LAW 7675E - APP TEXT ANALYTICS/ LAW & BUS

3 Credit Hours

Prerequisites: LAW 7674
Description
This is an elective course. This highly experiential, interdisciplinary course introduces students to the emerging field of legal analytics, which employs computational and statistical modeling, analysis, and visualization of legal data to accomplish both descriptive and predictive goals. For analytics students, the course provides an introduction to the U.S. legal system and legal reasoning, the types of legal materials that analytics projects might analyze, and the problems and questions present in the law. For law students, the course offers an introduction to basic computer coding, as well as to the theory and applications of text mining, natural language processing, machine learning and other methods for managing and analyzing unstructured data such as that found in legal documents. Working in teams, students will learn and deploy analytics skills to extract information from large numbers of legal documents, identify patterns, and attempt to predict future outcomes.