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Artificial Intelligence and the Legal Landscape: Opportunities, Challenges, and the Future of Justice
Subject area: Arts, Social Sciences and Humanities · Area of research: Artificial Intelligence
DOI: https://doi.org/10.64388/IREV9I10-1716440
Abstract
Artificial Intelligence (AI) is rapidly transforming multiple sectors, including the legal field. From predictive analytics to automated decision-making, AI is reshaping how legal professionals work and how justice is administered. This paper examines the intersection of AI and law, focusing on its applications, legal challenges, ethical concerns, and future implications. While AI offers increased efficiency and accessibility, it also raises serious issues regarding accountability, bias, and regulation. A balanced legal framework is essential to harness AI’s benefits while mitigating its risks.
Keywords
Artificial Intelligence, Legal Technology, Algorithmic Bias, Data Protection, Legal Ethics, Automation
How to cite this paper
@article{1716440,
author = {Dev Kant, Yash Tewatia},
title = {Artificial Intelligence and the Legal Landscape: Opportunities, Challenges, and the Future of Justice},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {10},
pages = {1656-1657},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1716440.pdf},
abstract = {Artificial Intelligence (AI) is rapidly transforming multiple sectors, including the legal field. From predictive analytics to automated decision-making, AI is reshaping how legal professionals work and how justice is administered. This paper examines the intersection of AI and law, focusing on its applications, legal challenges, ethical concerns, and future implications. While AI offers increased efficiency and accessibility, it also raises serious issues regarding accountability, bias, and regulation. A balanced legal framework is essential to harness AI’s benefits while mitigating its risks.},
keywords = {Artificial Intelligence, Legal Technology, Algorithmic Bias, Data Protection, Legal Ethics, Automation},
month = {April},
doi = {https://doi.org/10.64388/IREV9I10-1716440}
}