Computational legal studies uses quantitative and computational methods like network analysis, machine learning, and text analysis to better understand legal systems and predict legal outcomes. It analyzes large legal data sets like the full text of the US Code and networks of judicial citations. Specific projects include mapping the social network of federal judges through law clerk hiring, measuring the complexity and growth of the US Code over time, and modeling the dynamic network of precedents established by Supreme Court decisions. The goal is to develop new tools and perspectives to study law at large scales not possible through traditional legal research alone.
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