Suganthini, A Introduction to Artificial Intelligence in Law. In: A Study on AI & its Role in Future Law Practice. The Colleges of Law, pp. 133-154.
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Abstract
rtificial Intelligence (AI) is rapidly transforming the
landscape of the legal profession, offering new tools
and capabilities that fundamentally change how
legal services are delivered. AI in law refers to the application of machine learning algorithms, natural language processing (NLP), and data analytics to tasks traditionally performed by lawyers, paralegals, and legal researchers. As AI technologies become more advanced, they offer the potential to increase efficiency, reduce costs, and enhance the accuracy and quality of legal work. This chapter provides an introduction to the integration of AI in law, exploring its potential, applications and implications for the future of legal practice. The legal profession has historically been characterized by labor-intensive processes that involve significant amounts of time spent on tasks such as legal research, document review, case analysis, and contract management. However, the advent of AI technologies is ushering in a new era of legal practice, where many of these tasks can be automated or augmented by intelligent systems. AI is not only enhancing the efficiency of these tasks but also allowing legal professionals to focus on more
strategic and high-value activities.
AI systems leverage vast amounts of legal data—case
laws, statutes, regulations, contracts, and legal documents—
analyzing them at a speed and scale beyond human capability. By identifying patterns, predicting outcomes, and providing datadriven insights, AI tools are empowering lawyers to make more informed decisions. This transformation is driven by the need for greater efficiency, cost reduction, and improved accuracy in a competitive legal market.
| Item Type: | Book Section |
|---|---|
| Subjects: | Legal Studies > Information Technology Law |
| Domains: | Legal Studies |
| Depositing User: | Mr Vivek R |
| Date Deposited: | 26 Dec 2025 05:04 |
| Last Modified: | 26 Dec 2025 05:04 |
| URI: | https://ir.vistas.ac.in/id/eprint/11854 |


