2023 Conference on Neural Information Processing Systems, Datasets and Benchmarks Track
Number of pages: 143
Neel Guha,
Julian Nyarko,
Daniel E. Ho,
Christopher Ré,
Adam Chilton,
Aditya Narayana,
Alex Chohlas-Wood,
Austin Peters,
Brandon Waldon,
Daniel Rockmore,
Diego Zambrano,
Dmitry Talisman,
Enam Hoque,
Faiz Surani,
Frank Fagan,
Galit Sarfaty,
Gregory M. Dickinson,
Haggai Porat,
Jason Hegland,
Jessica Wu,
Joe Nudell,
Joel Niklaus, John Nay,
Jonathan H. Choi,
Kevin Tobia,
Margaret Hagan,
Megan Ma,
Michael A. Livermore,
Nikon Rasumov-Rahe,
Nils Holzenberger,
Noam Kolt,
Peter Henderson,
Sean Rehaag,
Sharad Goel,
Shang Gao,
Spencer Williams,
Sunny Gandhi,
Tom Zur,
Varun Iyer and
Zehua Li
Stanford University, Stanford Law School, Stanford Law School, Stanford University, University of Chicago - Law School, affiliation not provided to SSRN, Stanford University - Department of Management Science & Engineering, Stanford University, Stanford University, Dartmouth College - Department of Mathematics, Stanford University, Maxime Tools, affiliation not provided to SSRN, University of California, Santa Barbara, South Texas College of Law Houston, University of Toronto - Faculty of Law, St. Thomas University - School of Law, Harvard University, Harvard Law School, Stanford Law School, Stanford University, affiliation not provided to SSRN, University of Bern - Faculty of Science, Stanford University - CodeX - Center for Legal Informatics, University of Minnesota Law School, Georgetown University Law Center, Stanford Legal Design Lab, Stanford University - Stanford Codex Center, University of Virginia School of Law, Maxime Tools, Institut Polytechnique de Paris, University of Toronto, Stanford University, Centre for Refugee Studies, Refugee Law Lab & Osgoode Hall Law School, York University, Harvard University, Casetext, Golden Gate University School of Law, Indiana University Bloomington, Harvard Law School, affiliation not provided to SSRN and Stanford University
