Thesis Abstract

Abstract
The integration of artificial intelligence (AI) technologies into various sectors has been rapidly transforming the way decisions are made and processes are conducted. The legal domain is not exempt from this transformative impact, as AI tools are increasingly being utilized to assist legal professionals in decision-making processes. This thesis investigates the specific implications of AI on legal decision-making and explores the challenges and opportunities that arise from this integration. The research begins with an exploration of the background of the study, providing a comprehensive overview of the evolution of AI technologies and their applications in the legal sector. The problem statement highlights the need to critically examine the effects of AI on legal decision-making processes and the potential implications for the legal profession as a whole. The objectives of the study are to analyze how AI systems are currently being used in legal decision-making, to assess the benefits and limitations of AI integration in the legal domain, and to propose recommendations for optimizing the use of AI tools in legal decision-making processes. The limitations of the study are acknowledged, including the challenges of data availability and the evolving nature of AI technologies. The scope of the study encompasses an in-depth analysis of case studies and empirical data to provide insights into the practical implementation of AI in legal decision-making. The significance of the study lies in its contribution to the understanding of the impact of AI on legal decision-making processes and its implications for the legal profession and society at large. The structure of the thesis is organized into five chapters. Chapter 1 introduces the topic, provides the background of the study, articulates the problem statement, outlines the objectives, discusses the limitations and scope of the study, highlights the significance of the research, and defines key terms. Chapter 2 presents a comprehensive literature review, exploring existing research and theories related to AI in legal decision-making. Chapter 3 details the research methodology, including the research design, data collection methods, and analysis techniques employed in the study. The chapter also discusses ethical considerations and limitations in the research process. Chapter 4 presents the findings of the study, analyzing the impact of AI on legal decision-making and identifying key trends and challenges. The discussion delves into the implications of these findings for legal professionals and the broader legal system. Chapter 5 concludes the thesis by summarizing the key findings, discussing the implications of the research, and offering recommendations for future research and practice in the field of AI and legal decision-making. The conclusion also reflects on the potential transformative effects of AI on the legal profession and society as a whole. In conclusion, this thesis contributes to the growing body of knowledge on the impact of AI on legal decision-making and provides valuable insights for legal practitioners, policymakers, and researchers. By examining the opportunities and challenges presented by AI technologies, this research aims to inform the ongoing discourse on the future of legal decision-making in an increasingly AI-driven world.

Thesis Overview