JURISPRO – A Professional System for Managing Law and Combining AI with Legal Expertise

Abstract

This research is toward studying artificial intelligence-augmented lawyers and document verifiers based on natural language processing (NLP), machine learning, and automated analytics to simplify legal proceedings from the following perspectives: the AI attorneys assist in legal research and draft documents according to precedent-based analysis, and predictions as to the case outcomes while AI-based document verifiers ensure compliance of the document, detect discrepancies, and cut down human error in legal scenarios. These augment case tracking scheduling and document review taking the load off administration to improve efficiency in the judiciary. While these innovations come with their merits, it still begs the question on AI's adoption as far as legal avenues are concerned: algorithmic bias, transparency and a need for human supervision in legal decision making. This study therefore takes a detail into each of the above-mentioned issues with the view of understanding how AI could help legal professionals without infringing on fairness and justice. Further, it analyses the theme in terms of real-life applications in as far as AI is changing the landscape of legal practitioners, around case resolution time or in total efficiency on the judicial front. All said findings would add to the discourse as the world is shaping up toward AI in law by depicting implications, ethical considerations, and possible future advances within the purview of responsible and transparent AI adoption by the legal system.