John Nay

Stanford University - CodeX - Center for Legal Informatics

New York University (NYU)

Bobst Library, E-resource Acquisitions

20 Cooper Square 3rd Floor

New York, NY 10003-711

United States

http://nyu.edu

SCHOLARLY PAPERS

17

DOWNLOADS
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7,154

SSRN CITATIONS
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SSRN RANKINGS

Top 44,142

in Total Papers Citations

15

CROSSREF CITATIONS

3

Scholarly Papers (17)

1.

Natural Language Processing and Machine Learning for Law and Policy Texts

Nay, J. (2021) “Natural Language Processing for Legal Texts.” In D. M. Katz, R. Dolin & M. Bommarito (Eds.), Legal Informatics. Cambridge University Press.
Number of pages: 35 Posted: 18 Dec 2019 Last Revised: 23 May 2022
John Nay
Stanford University - CodeX - Center for Legal Informatics
Downloads 3,448 (5,925)
Citation 6

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Machine Learning, Artificial Intelligence, Prediction, Policy, Legal Informatics, AI & Law, Congress, Presidency, Political Science, Empirical Legal Studies, Computational Law, Computational Social Science

2.

Large Language Models as Corporate Lobbyists

Number of pages: 9 Posted: 04 Jan 2023 Last Revised: 30 Jan 2023
John Nay
Stanford University - CodeX - Center for Legal Informatics
Downloads 1,188 (31,074)

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Artificial Intelligence, AI, Machine Learning, Natural Language Processing, NLP, Self-Supervised Learning, Large Language Models, GPT, Foundation Models, AI Safety, AI Alignment, AI & Law, AI Policy, Computational Legal Studies, Computational Law, Law-Making, Public Policy, Policy-Making, Lobbying

3.

Law Informs Code: A Legal Informatics Approach to Aligning Artificial Intelligence with Humans

Northwestern Journal of Technology and Intellectual Property, Volume 20, Forthcoming
Number of pages: 69 Posted: 15 Sep 2022 Last Revised: 28 Mar 2023
John Nay
Stanford University - CodeX - Center for Legal Informatics
Downloads 489 (100,930)

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Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks, Natural Language Processing, Reinforcement Learning, RL from Human Feedback, Self-Supervised Learning, Large Language Models, Foundation Models, AI Safety, AI Alignment, AI Ethics, AI & Law, AI Policy, Computational Law

4.

Large Language Models as Fiduciaries: A Case Study Toward Robustly Communicating With Artificial Intelligence Through Legal Standards

Number of pages: 27 Posted: 25 Jan 2023 Last Revised: 13 Apr 2023
John Nay
Stanford University - CodeX - Center for Legal Informatics
Downloads 381 (134,997)

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Artificial Intelligence, AI, Machine Learning, Natural Language Processing, NLP, Self-Supervised Learning, Reinforcement Learning, RL, Large Language Models, Foundation Models, AI Safety, AI Alignment, AI & Law, AI Policy, Computational Legal Studies, Computational Law, Standards, Prompt Engineering

5.

Generalizability: Machine Learning and Humans-in-the-Loop

RESEARCH HANDBOOK ON BIG DATA LAW (Roland Vogl, ed., Edward Elgar, 2020 Forthcoming), NYU School of Law, Public Law Research Paper No. 20-7
Number of pages: 21 Posted: 10 Jul 2019 Last Revised: 17 Jun 2020
Stanford University - CodeX - Center for Legal Informatics and New York University School of Law
Downloads 363 (142,416)
Citation 3

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machine learning, artificial intelligence, prediction, validation, automated decision-making, policy, rules, standards, big data, law, legal

6.

Climate-Contingent Finance

Berkeley Business Law Journal, Vol. 19, No. 2, 2022
Number of pages: 46 Posted: 18 Feb 2021 Last Revised: 23 Sep 2022
John Nay
Stanford University - CodeX - Center for Legal Informatics
Downloads 266 (197,464)

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Climate change, Climate adaptation, Climate economics, Climate finance, Climate derivatives, Climate investing, Sustainable finance, Impact investing, ESG investing, Infrastructure finance, Climate policy, Climate law, Machine Learning, AI, Simulation Modeling

7.

Predicting and understanding law-making with word vectors and an ensemble model

Nay JJ (2017) Predicting and understanding law-making with word vectors and an ensemble model. PLoS ONE 12(5): e0176999
Number of pages: 14 Posted: 20 Jul 2016 Last Revised: 11 Jan 2023
John Nay
Stanford University - CodeX - Center for Legal Informatics
Downloads 252 (208,318)
Citation 1

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Artificial Intelligence, AI, Machine Learning, Forecasting, Ensemble Modeling, Natural Language Processing, NLP, Word Vectors, Predictive Modeling, Congress, Law, Legal Informatics, Empirical Legal Studies, Political Science

8.

Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence

Minnesota Legal Studies Research Paper No. 23-15, Northwestern Public Law Research Paper No. 23-48
Number of pages: 20 Posted: 22 Jun 2023 Last Revised: 22 Sep 2023
Stanford University - CodeX - Center for Legal Informatics, Independent, Northwestern University - Pritzker School of Law, Independent, Independent, Independent, Independent, University of Minnesota Law School and Independent
Downloads 223 (234,422)
Citation 1

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Artificial Intelligence, Large Language Models, Machine Learning, Natural Language Processing, Retrieval Augmented Generation, Computational Law, AI Alignment, Law-Informed AI, Law Informs Code, Benchmarking

9.

Topic Modeling the President: Conventional and Computational Methods

George Washington Law Review, Forthcoming, Vanderbilt Law Research Paper No. 17-62
Number of pages: 70 Posted: 12 Dec 2017 Last Revised: 17 Sep 2018
Vanderbilt University - Law School, Stanford University - CodeX - Center for Legal Informatics and Vanderbilt University - Department of Earth and Environmental Sciences
Downloads 191 (270,266)
Citation 3

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10.

Betting and Belief: Prediction Markets and Attribution of Climate Change

Nay, J. J., Van der Linden, M., Gilligan, J. (2016). “Betting and Belief: Prediction Markets and Attribution of Climate Change.” Proceedings of the 2016 Winter Simulation Conference, 1666–1677. IEEE Press.
Number of pages: 11 Posted: 13 Jul 2016 Last Revised: 21 Sep 2017
Stanford University - CodeX - Center for Legal Informatics, Emory University and Vanderbilt University - Department of Earth and Environmental Sciences
Downloads 79 (521,192)

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forecasting, prediction, prediction markets, beliefs, agent-based model, climate change

11.

Gov2Vec: Learning Distributed Representations of Institutions and Their Legal Text

Nay, J. (2016). “Gov2Vec: Learning Distributed Representations of Institutions and Their Legal Text.” Proceedings of 2016 Empirical Methods in Natural Language Processing Workshop on NLP and Computational Social Science, 49–54, Association for Computational Linguistics.
Number of pages: 6 Posted: 21 Dec 2017 Last Revised: 23 May 2022
John Nay
Stanford University - CodeX - Center for Legal Informatics
Downloads 69 (562,343)
Citation 2

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artificial intelligence, machine learning, natural language processing, legal, policy, computational law, AI alignment

12.

Data-Driven Dynamic Decision Models

Nay, J. J., Gilligan, J. M. (2015). “Data-Driven Dynamic Decision Models”. Proceedings of the 2015 Winter Simulation Conference, 2752–2763. IEEE Press.
Number of pages: 12 Posted: 21 Sep 2017
John Nay and Jonathan M. Gilligan
Stanford University - CodeX - Center for Legal Informatics and Vanderbilt University - Department of Earth and Environmental Sciences
Downloads 69 (562,343)

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13.

The Big Shift: From Monetary to Fiscal Policy

Number of pages: 3 Posted: 20 Oct 2020
John Nay
Stanford University - CodeX - Center for Legal Informatics
Downloads 50 (657,178)

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machine learning, financial markets, political opinion, policy analysis, political economy, monetary policy, fiscal policy, macroeconomics

14.

Predicting Human Cooperation

Nay JJ, Vorobeychik Y (May 2016) Predicting Human Cooperation. PLoS ONE 11(5)
Number of pages: 19 Posted: 21 Sep 2017
John Nay and Yevgeniy Vorobeychik
Stanford University - CodeX - Center for Legal Informatics and Vanderbilt University, Department of Electrical Engineering and Computer Science
Downloads 39 (726,458)

Abstract:

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machine learning

15.

What Are You Implying? Deriving the Market’s Political Predictions with Policy Impact Indices

Number of pages: 3 Posted: 11 Sep 2020
John Nay
Stanford University - CodeX - Center for Legal Informatics
Downloads 21 (871,239)

Abstract:

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machine learning, financial markets, political opinion, policy analysis, political economy

16.

A Review of Decision-Support Models for Adaptation to Climate Change in the Context of Development

Climate and Development, 2014
Number of pages: 12 Posted: 09 Mar 2021
Stanford University - CodeX - Center for Legal Informatics, Vanderbilt University, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 20 (880,532)
Citation 1

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simulation modeling, agent-based modeling, cost–benefit analysis, GIS, decision-support tools

17.

Legalbench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models

2023 Conference on Neural Information Processing Systems, Datasets and Benchmarks Track
Number of pages: 143
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
Downloads 6

Abstract:

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legal practice, law and technology, large language models, artificial intelligence, empirical legal methods, machine learning