This course examines how emerging technologies—such as artificial intelligence (AI), blockchain analytics, machine learning, digital identity tools, and RegTech platforms—are used to detect, deter, and respond to financial crimes. It provides in-depth legal and regulatory analysis of how companies and institutions can lawfully deploy technology to meet AML, CFT, fraud detection, and regulatory compliance requirements, while navigating data privacy, governance, due process, and accountability concerns.
Designed for in-house counsel, compliance leaders, and technology-driven legal teams, this course blends legal analysis with corporate implementation strategies. It addresses enforcement, audit preparedness, litigation risk, and international compliance issues triggered by the use of advanced monitoring tools.
Course Objectives
By the end of this course, participants will be able to:
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Identify and evaluate the legal frameworks governing the use of surveillance and analytic technologies in AML and fraud prevention.
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Advise clients or internal teams on legal risk management for tech-based compliance systems.
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Draft legally defensible policies for automated monitoring and alerts.
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Navigate data protection, discrimination, and due process issues arising from predictive analytics.
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Coordinate technology procurement and vendor contracts with legal safeguards.
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Respond to regulator inquiries involving automated systems and audit trails.
