In this course, you’ll learn how to leverage GenAI for proactive legal risk mitigation, transforming compliance from a reactive process into a strategic advantage. You’ll explore GenAI-driven techniques to identify, evaluate, and resolve legal risks in real time. Through engaging lessons and hands-on practice, you’ll master the art of crafting complex prompts for legal analysis, design adaptive risk mitigation frameworks, and implement GenAI for compliance automation.

This course is tailored for a diverse group of professionals at the intersection of law and technology. It caters to legal practitioners—including lawyers, compliance officers, and in-house counsels—who are looking to deepen their use of GenAI for sophisticated legal risk mitigation. Business leaders and executives interested in embedding AI strategies into their risk management frameworks will also find value, as will regulatory and compliance specialists focused on leveraging AI to enhance compliance systems. Additionally, legal tech developers exploring the next generation of GenAI applications and law students seeking a competitive edge in a transforming legal landscape are ideal participants. Participants should possess a foundational understanding of generative AI concepts and basic legal risk management strategies. Familiarity with how AI technologies can be used to identify, assess, and manage legal risks is strongly recommended to grasp the advanced concepts presented in this course. This background will enable learners to engage effectively with complex topics such as prompt engineering, regulatory adaptation, and AI-driven legal analysis. By the end of the course, learners will be equipped to craft nuanced GenAI prompts that yield actionable insights in legal risk contexts. They will gain the skills to architect flexible GenAI-powered compliance systems that evolve alongside shifting regulatory demands. In addition, participants will be able to formulate robust internal policies that govern GenAI implementation, covering critical areas such as privacy, algorithmic fairness, and ethics. Lastly, they will learn to integrate advanced GenAI tools into legal workflows, enhancing automation and predictive analytics to support proactive, data-informed decision-making.