| dc.description.abstract | This research explores the transformative potential of AI-driven predictive analytics in litigation,
focusing on its adoption, effectiveness, and impact on legal strategies. The study aims to assess the
extent to which AI tools are being integrated into legal practices, evaluate their accuracy compared
to traditional methods, and examine their influence on decision-making processes. Additionally, it
addresses the ethical, legal, and practical challenges posed by AI in the legal field. Employing a
mixed-methods approach, the research combines qualitative and quantitative data to provide a
comprehensive analysis. The findings highlight the growing adoption of AI tools, their superior
accuracy in predicting litigation outcomes, and their significant impact on legal strategies, including
improved case management and data-driven insights. However, the study also identifies challenges
such as algorithmic bias, transparency, and accountability, offering recommendations to mitigate
these issues. The research concludes that while AI tools hold immense potential to enhance legal
practices, their responsible and ethical use is crucial to ensuring fairness and justice. This study
contributes to the ongoing discourse on AI in the legal domain, providing actionable guidelines for
legal professionals to effectively harness AI for improved litigation outcomes. | en_US |
