Seminar

Introduction: From Analogue to Digital Legal Scholarship, The Editors

Frameworks

1: Distant Reading the Law, Michael A. Livermore and Daniel N. Rockmore

2: Big Data, Machine Learning, and the Credibility Revolution in Empirical Legal Studies, Ryan Copus, Ryan HuÌbert, and Hannah Laqueur

3: Text as Observational Data, Marion Dumas and Jens Frankenreiter

4: Prediction Before Inference, Allen Riddell

Investigation

5: Style and Substance on the US Supreme Court, Keith Carlson, Daniel N. Rockmore, Allen Riddell, Jon Ashley, and Michael A. Livermore

6: Predicting Legislative Floor Action, Vlad Eidelman, Anastassia Kornilova, and Daniel Argyle

7: Writing Style and Legal Traditions, Jens Frankenreiter

8: A Computational Analysis of California Parole Suitability Hearings, Hannah Laqueur and Anna Venancio

9: Analyzing Public Comments, Vlad Eidelman, Brian Grom, and Michael A. Livermore

Exploration

10: Using Text Analytics to Predict Litigation Outcomes, Charlotte S. Alexander, Khalifeh al Jadda, Mohammad Javad Feizollahi, and Anne M. Tucker

11: Case Vectors: Spatial Representations of the Law Using Document Embeddings, Elliott Ash and Daniel L. Chen

12: Reference Networks and Civil Codes, Adam B. Badawi and Giuseppe Dari-Mattiacci

13: Attorney Voice and the US Supreme Court, Daniel L. Chen, Yosh Halberstam, Manoj Kumar, and Alan C. L. Yu

14: Detecting Ideology in Judicial Language, Marion Dumas

15: Opinion Clarity in State and Federal Trial Courts, Adam Feldman

Conjecture

16: Machine Learning and the Rule of Law, Daniel L. Chen

17: The Law Search Turing Test, Michael A. Livermore and Daniel N. Rockmore