Artificial Intelligence and Legal Practice: Jurisprudential Foundations for Analyzing Legal Text and Predicting Outcomes
摘要
In recent years, tremendous progress has been made in the use of AI in the legal profession, revolutionizing the way attorneys evaluate legal texts and foretell case outcomes. This study examines the jurisprudential underpinnings that support AI-driven strategies in the legal field, concentrating on the application of AI tools for predictive analytics and legal text analysis. The paper emphasizes how these technologies make it easier for attorneys to efficiently explore complicated legal texts by facilitating the extraction and interpretation of legal information from huge textual collections. The next section demonstrates how AI algorithms may be created to mimic human-like legal reasoning processes by making links between legal reasoning, legislation interpretation, and case law analysis. The need for a cooperative connection between AI systems and human attorneys is emphasized as the potential for AI to supplement rather than replace legal competence is taken into account.