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Mining The Harvard Caselaw Access Project, Felix B. Chang, Erin Mccabe, James Lee
Mining The Harvard Caselaw Access Project, Felix B. Chang, Erin Mccabe, James Lee
Faculty Articles and Other Publications
This Essay illustrates how machine learning can disrupt legal scholarship through the algorithmic extraction and analysis of big data. Specifically, we utilize data from Harvard Law School’s Caselaw Access Project to model how courts tackle two thorny question in antitrust: the measure of market power and the balance between antitrust and regulation.