Natural language processing in the legal domain

In this paper, we summarize the current state of the field of NLP and Law with a specific focus on recent technical and substantive developments. To support our analysis, we construct and analyze a corpus of more than six hundred NLP and Law related papers published over the past decade. Our analysi...

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Main Authors: KATZ, Daniel Martin, HARTUNG, Dirk, GERLACH, Lauritz, JANA, Abhik, BOMMARITO, Michael J. II
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Language:English
Published: Institutional Knowledge at Singapore Management University 2023
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Online Access:https://ink.library.smu.edu.sg/sol_research/4527
https://ink.library.smu.edu.sg/context/sol_research/article/6485/viewcontent/ssrn_4336224.pdf
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spelling sg-smu-ink.sol_research-64852024-10-17T03:28:02Z Natural language processing in the legal domain KATZ, Daniel Martin HARTUNG, Dirk GERLACH, Lauritz JANA, Abhik BOMMARITO, Michael J. II In this paper, we summarize the current state of the field of NLP and Law with a specific focus on recent technical and substantive developments. To support our analysis, we construct and analyze a corpus of more than six hundred NLP and Law related papers published over the past decade. Our analysis highlights several major trends. Namely, we document an increasing number of papers written, tasks undertaken, and languages covered over the course of the past decade. We observe an increase in the sophistication of the methods which researchers deployed in this applied context. Slowly but surely, Legal NLP is beginning to match the methodological sophistication of general NLP. We believe this to be a positive trend for the future of the field, but many questions in both the academic and commercial sphere still remain open. 2023-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sol_research/4527 info:doi/10.48550/arXiv.2302.12039 https://ink.library.smu.edu.sg/context/sol_research/article/6485/viewcontent/ssrn_4336224.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection Yong Pung How School Of Law eng Institutional Knowledge at Singapore Management University Programming Languages and Compilers Science and Technology Law
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Programming Languages and Compilers
Science and Technology Law
spellingShingle Programming Languages and Compilers
Science and Technology Law
KATZ, Daniel Martin
HARTUNG, Dirk
GERLACH, Lauritz
JANA, Abhik
BOMMARITO, Michael J. II
Natural language processing in the legal domain
description In this paper, we summarize the current state of the field of NLP and Law with a specific focus on recent technical and substantive developments. To support our analysis, we construct and analyze a corpus of more than six hundred NLP and Law related papers published over the past decade. Our analysis highlights several major trends. Namely, we document an increasing number of papers written, tasks undertaken, and languages covered over the course of the past decade. We observe an increase in the sophistication of the methods which researchers deployed in this applied context. Slowly but surely, Legal NLP is beginning to match the methodological sophistication of general NLP. We believe this to be a positive trend for the future of the field, but many questions in both the academic and commercial sphere still remain open.
format text
author KATZ, Daniel Martin
HARTUNG, Dirk
GERLACH, Lauritz
JANA, Abhik
BOMMARITO, Michael J. II
author_facet KATZ, Daniel Martin
HARTUNG, Dirk
GERLACH, Lauritz
JANA, Abhik
BOMMARITO, Michael J. II
author_sort KATZ, Daniel Martin
title Natural language processing in the legal domain
title_short Natural language processing in the legal domain
title_full Natural language processing in the legal domain
title_fullStr Natural language processing in the legal domain
title_full_unstemmed Natural language processing in the legal domain
title_sort natural language processing in the legal domain
publisher Institutional Knowledge at Singapore Management University
publishDate 2023
url https://ink.library.smu.edu.sg/sol_research/4527
https://ink.library.smu.edu.sg/context/sol_research/article/6485/viewcontent/ssrn_4336224.pdf
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