Regulatory requests for information (RFIs) are increasing in frequency, complexity, and scope, with regulators expecting detailed explanations, structured narratives, and cross-team coordination.
Organizations facing RFIs are struggling with manual tools and processes, leading to rushed and inconsistent responses, increasing operational and risk burdens.
Addressing the RFI challenges requires automation with legal oversight to handle tasks such as documentation retrieval, task allocation, and initial response generation.
Automation can significantly reduce search time, improve accuracy, prevent bottlenecks, and ensure accountability in the RFI workflow.
Human-in-the-loop design is crucial in legal contexts to maintain trust, with AI outputs always passing through expert review and validation gates.
Ensuring consistency across RFIs over time and regulators is a key goal, where structured automation creates a reliable reference set for validation.
RFI systems need to be treated as core legal infrastructure, with structured response infrastructure, automation, version control, and audit capabilities becoming essential.
AI in RFIs aims to streamline processes, enhance decision-making, and improve outcomes, but judgment and human oversight remain irreplaceable.