A user-centered approach to developing an AI system analyzing U.S. federal court data

Rachel F. Adler; Andrew Paley; Andong L. Li Zhao; Harper Pack; Sergio Servantez; Adam R. Pah; Kristian Hammond; Scales Okn Consortium

doi:10.1007/s10506-022-09320-z

A user-centered approach to developing an AI system analyzing U.S. federal court data

Rachel F. Adler, Andrew Paley, Andong L. Li Zhao, Harper Pack, Sergio Servantez, Adam R. Pah, Kristian Hammond, Scales Okn Consortium

Research output: Contribution to journal › Article › peer-review

Abstract

We implemented a user-centered approach to the design of an artificial intelligence (AI) system that provides users with access to information about the workings of the United States federal court system regardless of their technical background. Presently, most of the records associated with the federal judiciary are provided through a federal system that does not support exploration aimed at discovering systematic patterns about court activities. In addition, many users lack the data analytical skills necessary to conduct their own analyses and convert data into information. We conducted interviews, observations, and surveys to uncover the needs of our users and discuss the development of an intuitive platform informed from these needs that makes it possible for legal scholars, lawyers, and journalists to discover answers to more advanced questions about the federal court system. We report on results from usability testing and discuss design implications for AI and law practitioners and researchers.

Original language	English (US)
Pages (from-to)	547-570
Number of pages	24
Journal	Artificial Intelligence and Law
Volume	31
Issue number	3
DOIs	https://doi.org/10.1007/s10506-022-09320-z
State	Published - Sep 2023
Externally published	Yes

Keywords

Data analytics
Natural language processing
Notebook interface
User-centered design
Visualization

ASJC Scopus subject areas

Law
Artificial Intelligence

Online availability

10.1007/s10506-022-09320-z

Library availability

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title = "A user-centered approach to developing an AI system analyzing U.S. federal court data",

abstract = "We implemented a user-centered approach to the design of an artificial intelligence (AI) system that provides users with access to information about the workings of the United States federal court system regardless of their technical background. Presently, most of the records associated with the federal judiciary are provided through a federal system that does not support exploration aimed at discovering systematic patterns about court activities. In addition, many users lack the data analytical skills necessary to conduct their own analyses and convert data into information. We conducted interviews, observations, and surveys to uncover the needs of our users and discuss the development of an intuitive platform informed from these needs that makes it possible for legal scholars, lawyers, and journalists to discover answers to more advanced questions about the federal court system. We report on results from usability testing and discuss design implications for AI and law practitioners and researchers.",

keywords = "Data analytics, Natural language processing, Notebook interface, User-centered design, Visualization",

author = "Adler, {Rachel F.} and Andrew Paley and {Li Zhao}, {Andong L.} and Harper Pack and Sergio Servantez and Pah, {Adam R.} and Kristian Hammond and Consortium, {Scales Okn}",

note = "Funding Information: This material is based upon work supported by the National Science Foundation Convergence Accelerator Program under grant no. 1937123 and grant no. 2033604. Publisher Copyright: {\textcopyright} 2022, The Author(s).",

year = "2023",

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doi = "10.1007/s10506-022-09320-z",

language = "English (US)",

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AU - Pack, Harper

AU - Servantez, Sergio

AU - Pah, Adam R.

AU - Hammond, Kristian

AU - Consortium, Scales Okn

N1 - Funding Information: This material is based upon work supported by the National Science Foundation Convergence Accelerator Program under grant no. 1937123 and grant no. 2033604. Publisher Copyright: © 2022, The Author(s).

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Y1 - 2023/9

N2 - We implemented a user-centered approach to the design of an artificial intelligence (AI) system that provides users with access to information about the workings of the United States federal court system regardless of their technical background. Presently, most of the records associated with the federal judiciary are provided through a federal system that does not support exploration aimed at discovering systematic patterns about court activities. In addition, many users lack the data analytical skills necessary to conduct their own analyses and convert data into information. We conducted interviews, observations, and surveys to uncover the needs of our users and discuss the development of an intuitive platform informed from these needs that makes it possible for legal scholars, lawyers, and journalists to discover answers to more advanced questions about the federal court system. We report on results from usability testing and discuss design implications for AI and law practitioners and researchers.

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KW - Natural language processing

KW - Notebook interface

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KW - Visualization

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A user-centered approach to developing an AI system analyzing U.S. federal court data

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Keywords

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