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Contributors

Published online by Cambridge University Press:  02 February 2023

David Freeman Engstrom
Affiliation:
Stanford University, California

Summary

Type
Chapter
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Publisher: Cambridge University Press
Print publication year: 2023
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This content is Open Access and distributed under the terms of the Creative Commons Attribution licence CC-BY-NC-ND 4.0 https://creativecommons.org/cclicenses/
  • Charlotte S. Alexander is the Connie D. and Ken McDaniel WomenLead Professor of Law and Analytics at Georgia State University (GSU) and the founding director of GSU’s Legal Analytics Lab. She uses computational methods to study legal text, with a particular focus on understanding how courts process and resolve employment disputes and other types of civil lawsuits. She is the author of Does Lawyering Matter? Predicting Judicial Decisions from Legal Briefs, and What That Means for Access to Justice, 101 Texas L. Rev. (2022) (with Elizabeth Tippett, Karl Branting, et al.).

  • John Armour is Professor of Law and Finance in the Faculty of Law at the University of Oxford and a Fellow of the British Academy and the European Corporate Governance Institute. He recently led a large research project funded by UK Research and Innovation, Unlocking the Potential of AI for English Law. Outputs from this include Augmented Lawyering, 2022 U. Ill. L. Rev. 71 (with Richard Parnham & Mari Sako).

  • Benjamin H. Barton is the Helen and Charles Lockett Distinguished Professor of Law at the University of Tennessee and is the author of five books, including Rebooting Justice and Glass Half Full: The Decline and Rebirth of the Legal Profession. Barton is an expert in access to justice and Supreme Court Justice backgrounds.

  • Renee L. Danser is the Associate Director of Research & Strategic Partnerships at the Access to Justice Lab at Harvard Law School. Her work focuses on improving access to justice from within the justice system and draws on experience in advocacy and court management.

  • Jens Frankenreiter is Associate Professor of Law at Washington University in St. Louis School of Law. His research draws on methods from economics, statistics, and data science to better understand contracting, private and public lawmaking, and legal institutions. A focus of his work is the use of large amounts of texts and other big data. His recent publications include Computational Methods in Legal Analysis, 16 Ann. Rev. L. Soc. Sci. 39 (2020) (with Michael Livermore).

  • David Freeman Engstrom is the LSVF Professor in Law at Stanford Law School and Co-Director of the Deborah L. Rhode Center on the Legal Profession. An award-winning scholar and expert on the design of litigation systems, he is the author of numerous articles on technology and law, including Legal Tech, Civil Procedure, and the Future of Adversarialism, 169 U. Pa. L. Rev. 1001 (2021) (with Jonah Gelbach).

  • Nora Freeman Engstrom is the Ernest W. McFarland Professor of Law at Stanford Law School and Co-Director of the Deborah L. Rhode Center on the Legal Profession. She is the author of leading casebooks on torts and legal ethics as well as numerous articles on complex litigation, including the award-winning The Lessons of Lone Pine, 129 Yale L.J. 2 (2019).

  • Jonah B. Gelbach is Professor of Law at Berkeley Law. His scholarship includes empirical work in multiple areas of civil procedure as well as other areas such as securities litigation and labor economics. He has written several papers using data from federal court dockets, including Material Facts in the Debate over Twombly and Iqbal, 68 Stan. L. Rev. 369 (2016).

  • Amy Gonzales is Associate Professor in the Department of Communication at the University of California, Santa Barbara. Her work examines the digital divide, particularly short-term disruption in access to devices.

  • D. James Greiner is the Honorable S. William Green Professor of Public Law and the Faculty Director of the Access to Justice Lab at Harvard Law School. His work, which focuses on randomized control trials in the legal setting, has appeared in statistical, economic, political science, law, and generalist journals. He is the author of Overcoming Obstacles to Experiments in Legal Practice, 367 Science 1078 (2020) (with Holly Fernandez-Lynch & I. Glenn Cohen).

  • Neel Guha is a JD candidate at Stanford Law School, a PhD candidate in the Stanford Computer Science Department, and a Graduate Student Fellow at the Stanford Regulation, Evaluation, and Governance Lab. He works on problems at the intersection of machine learning and law, and recently authored Vulnerabilities in Discovery Tech, 35 Harv. J. L. & Tech. (forthcoming 2022) (with Peter Henderson & Diego A. Zambrano).

  • Elizabeth Guo is a graduate student at Oxford University, where she is studying as a Rhodes Scholar. Before that, she graduated from Harvard University with a B.A. in Physics and was a researcher at Harvard Law School’s Access to Justice Lab.

  • Margaret Hagan is the Executive Director of the Legal Design Lab at Stanford Law School. She is the author of many articles on innovation for access to justice, including Redesigning Justice Innovation: A Standardized Methodology, 16 Stan. J. Civ. Rts. & Civ. Liberties 335 (2020) (with Daniel Bernal).

  • Peter Henderson is a JD candidate at Stanford Law School, PhD Candidate (Computer Science, Machine Learning) at Stanford University, OpenPhilanthropy AI Fellow, and Graduate Student Fellow at the Stanford Regulation, Evaluation, and Governance Lab. He has authored numerous articles on machine learning and law, including Vulnerabilities in Discovery Tech, 35 Harv. J. L. & Tech. (forthcoming 2022) (with Neel Guha & Diego A. Zambrano).

  • Kurt Hugenberg is Professor in the Department of Psychological and Brain Sciences, Indiana University Bloomington. His scholarship focuses on how perceivers’ stereotypes, prejudices, and prejudice-related motives influence how we categorize, perceive, and understand others.

  • Ryan Hutchings is a Postdoctoral Scholar in the Department of Psychological and Brain Sciences, Indiana University Bloomington. His research focuses primarily on person perception, prejudice, and social cognition.

  • Erik Koltun is a paralegal at Paul, Weiss, Rifkind, Wharton & Garrison LLP. Before that, he graduated from Claremont McKenna College with a B.A. in Economics and Literature and was a researcher at Harvard Law School’s Access to Justice Lab.

  • Bridget Mary McCormack is the Chief Justice of the Michigan Supreme Court and the Co-Chair of the Conference of Chief Justices’ COVID-19 Rapid Response Team and the Conference’s Technology Planning Group. She writes and presents frequently about access to justice, legal innovation, and change management in state courts, including Staying off the Sidelines: Judges as Agents for Justice System Reform, 131 Yale L.J. Forum 175 (2021).

  • Julian Nyarko is Associate Professor at Stanford School of Law. His research uses new computational methods to answer questions of legal and social scientific importance, with a particular focus on the use of computational linguistics to study contract law and design. Among his recent publications is A Statistical Test for Legal Interpretation: Theory and Applications, 38 J. L. Econ. & Org. 539 (forthcoming 2022) (with Sarath Sanga).

  • Amy O’Hara is Research Professor in the Massive Data Institute at Georgetown University’s McCourt School of Public Policy. She has published guides and articles on data governance, privacy preserving technologies, and data infrastructure needed to support government and academic research.

  • J.J. Prescott is the Henry King Ransom Professor of Law at the University of Michigan Law School. He co-directs Michigan’s Law and Economics Program and its Empirical Legal Studies Center and has appointments in Michigan’s Economics Department and ISR’s Population Studies Center. Professor Prescott studies, among other topics, the role of technology in improving access to justice and court performance, often with empirical tools. In 2014, Prescott founded the company that developed and launched Matterhorn, one of the premier Online Dispute Resolution platforms in the country.

  • Victor D. Quintanilla is Professor of Law & Van Nolan Faculty Fellow at Indiana University Maurer School of Law and Co-Director of the Center for Law, Society & Culture and an Affiliated Professor of the Department of Psychological and Brain Sciences. His research on civil justice and access to justice appears in leading law reviews and peer-reviewed journals, and he received funding from the American Bar Foundation. His work includes Doing Unrepresented Status: The Social Construction and Production of Pro Se Persons, 69 DePaul L. Rev. 544 (2020).

  • Tanina Rostain is Professor at the Georgetown University Law Center. Her writing and teaching focus on the potential and limitations of technologies to improve access to civil justice.

  • Mari Sako is Professor of Management Studies at Saïd Business School and Professorial Fellow at New College, University of Oxford. Her teaching and research focus on global strategy, professional services, and start-up ecosystems. She is the author of five books and numerous articles, including AI-Enabled Business Models in Legal Services: From Traditional Law Firms to Next-Generation Law Companies? 7 J. Professions & Org. 27 (2020) (with John Armour).

  • Norman W. Spaulding is Sweitzer Professor of Law at Stanford Law School. His scholarship examines the history and ethics of the adversary system, procedural justice, and the effects of artificial intelligence and other technologies on the administration of justice. Recent work includes Is Human Judgement Necessary? Artificial Intelligence, Algorithmic Governance, and the Law, in Markus D. Dubber et al., The Oxford Handbook of Ethics and AI (2020).

  • Todd Venook is the inaugural Civil Justice and Technology Fellow at the Deborah L. Rhode Center on the Legal Profession at Stanford Law School. He most recently served as a law clerk in the chambers of the Honorable Myron H. Thompson in the Middle District of Alabama.

    Nedim Yel is the Senior Research Statistician at Data Analysis and Statistical Solutions. Dr. Yel’s research focuses on improving hierarchical linear/multilevel models specifically, dealing with sample size issues and their effect on parameter estimates at different levels in 3-level models.

  • Albert H. Yoon holds the Michael J. Trebilcock Chair in Law and Economics at the University of Toronto Faculty of Law. Yoon examines how technology and ethics influence labor markets within and outside of law. He has written numerous articles, including Unintended Consequences: The Regressive Effects of Increased Access to Courts, 14 J. Emp. Leg. Stud. 5 (2017) (with Anthony Niblett). Yoon is also a co-founder of Blue J. Legal, a Toronto-based legal technology start-up.

  • Diego A. Zambrano is Associate Professor of Law at Stanford Law School. He is the author of numerous articles on discovery and civil procedure, including Vulnerabilities in Discovery Tech, 35 Harv. J. L. & Tech. (forthcoming 2022) (with Neel Guha & Peter Henderson).

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