LIJDLR

Legal Technology

ARTIFICIAL INTELLIGENCE IN LEGAL PRACTICE: TRANSFORMING CONTRACT ANALYSIS AND LEGAL RESEARCH

ARTIFICIAL INTELLIGENCE IN LEGAL PRACTICE: TRANSFORMING CONTRACT ANALYSIS AND LEGAL RESEARCH Rachana Mishra, B.A.LL.B.(Hons) 5th year, SS Khanna Girls’ Degree College, Prayagraj Mustafa Khan, LLB, Integral University, Lucknow Download Manuscript doi.org/10.70183/lijdlr.2025.v03.66 This article analyses the transformative impact of artificial intelligence on contract analysis, legal research, and all aspects of legal practice in India. In this article, we applied a qualitative methodology and, apart from it also include a literature review and statutory interpretation, so it examines how AI helps in enhancing efficiency, accuracy, and access to justice while also addressing some challenges such as data privacy, algorithmic bias, and ethical dilemmas. Now, essential takeaways highlight AI’s role in different places, like in automating routine tasks, reducing costs and advancing access to justice and risks like job displacement and regulatory gaps. The article cites many statutory frameworks which including the Information Technology Act, 2000, and the Indian Evidence Act, 1872, acknowledging the Indian legal regime’s limited engagement with AI-specific issues. It asserts that the Bar Council of India should work on AI ethical guidelines, mandate training, and include legal technology into law school academic programs to align innovation with ethical obligations.

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ARTIFICIAL INTELLIGENCE AND COPYRIGHT LAW: NAVIGATING THE INTERSECTION OF INNOVATION AND INTELLECTUAL PROPERTY RIGHTS IN THE DIGITAL AGE

ARTIFICIAL INTELLIGENCE AND COPYRIGHT LAW: NAVIGATING THE INTERSECTION OF INNOVATION AND INTELLECTUAL PROPERTY RIGHTS IN THE DIGITAL AGE Suryansh Mishra, Symbiosis Law School, Nagpur Download Manuscript doi.org/10.70183/lijdlr.2025.v03.56 Issues protecting intellectual property have not been more challenging than when it comes to copyright law and artificial intelligence. The current trend in the use of artificial intelligence has caused unprecedented concerns in the copyright legislative sector. The mixed-method research approach applied in this paper implies the combination of doctrinal legal analysis and empirical investigation of the recent trends in litigation and regulating changes. This paper seeks to discover the current legal context surrounding the creation of AI-generated work through systemic examination of court submissions, regulatory papers, and industry briefings and provides a framework to which the fundamental questions of copyrightability, fair use and infringement of machine learning training data revolve around. Based on an examination of current legal proceedings, regulatory trends, and new jurisprudential components, the author discusses the ways in which old paradigms of copyright are changing to meet the unprecedented challenges that AI systems potentially offer in terms of creation, editing, and dissemination of content in massive quantities. Such a complex legal environment is identified to exist, as revealed in the research, where courts are taking a swing at core issues surrounding authorship, originality, among other outstanding issues touching on the free use of AI training. The category of research methodologies to be undertaken involves the analysis of more than 150 cases currently in litigation in a variety of jurisdictions and examination of regulatory frameworks in the United States, European Union, and other key jurisdictions, as well as the assessment of industry practices and technological solutions to the problem. The analysis will give an idea about the emerging trends in legal standards, possible ways of solving the issue, and the consequences of creators, technology companies, and people working in the law profession who operate in this changing environment.

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