LL.M. Student at School of Law, GD Goenka University, Haryana, India
Artificial Intelligence (AI) is revolutionizing industries across the globe, and the legal sector is no exception. In corporate law, AI is redefining how legal professionals handle complex regulatory environments, massive data processing, contract analysis, compliance, due diligence, and litigation prediction. This article explores the multifaceted role of AI in corporate law, examining how machine learning, natural language processing, and intelligent automation tools are enhancing efficiency, accuracy, and accessibility within legal frameworks. The integration of AI in legal workflows enables corporate lawyers to reduce time spent on routine tasks, thereby focusing on more strategic aspects such as negotiation and legal advisory. From intelligent contract review platforms that identify anomalies to predictive tools that assess litigation risks, AI’s contribution is becoming indispensable. However, the adoption of AI in legal practice also raises ethical, regulatory, and practical concerns, including data privacy, algorithmic bias, accountability, and the potential displacement of human roles. The article critically analyzes these challenges and proposes strategies for responsible AI integration. Through case studies and analysis of real-world applications, this paper highlights how major law firms and corporate legal departments are leveraging AI to streamline operations and enhance decision-making. The discussion also explores future trends, such as AI-driven legal research and autonomous legal agents. In conclusion, while AI is not a replacement for human legal expertise, it is a powerful enabler that, when used judiciously, can transform corporate legal practice into a more agile, data-driven, and client-centric discipline.
Research Paper
International Journal of Legal Science and Innovation, Volume 7, Issue 2, Page 301 - 311
DOI: https://doij.org/10.10000/IJLSI.112528This is an Open Access article, distributed under the terms of the Creative Commons Attribution -NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
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