AI-Enhanced Data Governance for Modernizing the US Court System (Published)
The US court system is currently burdened by inefficiencies, data silos, and security vulnerabilities that urgently require modernization to restore public trust. Outdated legacy systems, fragmented data practices, and limited interoperability hinder case management and transparency. A robust data governance framework powered by cutting-edge technologies like Artificial Intelligence (AI), blockchain, and federated learning is essential to address these pressing challenges. This paper explores how AI-enhanced data governance can swiftly transform the judicial system by ensuring data integrity, security, and accessibility. It presents solutions that modernize the court system and offer scalable applications for other sectors, such as healthcare, finance, and education. Adopting centralized data platforms, AI-driven data management, and advanced encryption methods can enhance operational efficiency, reduce biases, and improve decision-making processes. By leveraging this technology-driven framework, the judiciary can deliver justice more effectively, regain public trust, and set a precedent for modernization across industries.
Keywords: AI-enhanced data governance, Operational Efficiency, Predictive Analytics, US court modernization, blockchain security, centralized data platforms, data integrity, federated learning, judicial transparency, privacy compliance