Natural Language Processing (NLP)-Powered Legal A(t)Ms (LAMs) in India: Possibilities and Challenges

Charalampos Alexopoulos (), Stuti Saxena () and Shalini Saxena ()
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Charalampos Alexopoulos: University of the Aegean
Stuti Saxena: Graphic Era University
Shalini Saxena: IMS Unison University

Journal of the Knowledge Economy, 2024, vol. 15, issue 2, No 136, 8513-8533

Abstract: Abstract With the infusion of information and communications technology (ICT) in legal domain, of late, the attempts of reforming the judicial landscape have been forthcoming. In this vein, the paper seeks to present the possibility of harnessing natural language processing (NLP) for instituting legal automated (teller) machines (LAMs) in India as an innovative application of legal informatics in a developing country. Literature on legal informatics with a focus on NLP is scanned to drive home the key argument in the paper. Institutionalization of LAMs in a developing country like India would go a long way in expediting the automated judicial arbitration system apart from providing easier and accessible alternatives to the aggrieved parties. However, it is important that the required political will and sustained leadership is there to provide the required wherewithal for the institutionalization of LA(t)Ms in the country. As an innovation in the field of legal informatics, LAM is the first of its kind both in terms of its ideation and in terms of the academic output till date. It is anticipated that academia would be interested to conceive of improvising LAMs in different contexts post-screening of the ecosystemic determinants therein.

Keywords: Legal informatics; Natural language processing; NLP; India; Legal automated (teller) machines; LAMs; Judicial innovation; Legal technologies (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s13132-023-01450-2

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