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The New Rules of Legal Risk: How AI Is Reshaping Regulatory Monitoring and Strategy

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The volume and pace of regulatory change are accelerating, and in-house teams are expected to deliver faster, more actionable guidance without missing the developments that matter. AI is changing how organizations track regulation, assess risk, and make strategic decisions, but only if legal can trust what the tools flag and turn it into advice the business can act on. Join us on Monday, December 14, 2026, at 3:00 p.m. ET / 12:00 p.m. PT as Jennie Morawetz, CEO at SCOREalytics, [additional panelists], discuss how legal teams can use AI to monitor regulatory developments, prioritize emerging risks, and use their view of the legal landscape to shape business strategy and investment decisions. Attendees will learn how to: Evaluate whether your monitoring is keeping pace: where traditional approaches fall short and what it takes to trust that an AI-enabled tool is catching critical developments Turn regulatory information into actionable intelligence: how AI can help assess applicability and prioritize the risks that matter most to the business Expand legal’s strategic role: how to use regulatory insight to inform business strategy, investment decisions, and organizational priorities Adopt AI responsibly: strategies for balancing automation with transparency, accountability, and human judgment Who Should Attend: This program is designed for general counsel, in-house counsel, compliance leaders, and legal operations professionals responsible for tracking regulatory change and advising the business on legal risk. It will be especially useful for those in heavily regulated industries, those supporting strategy or investment decisions, and those evaluating AI tools for regulatory monitoring or compliance. There is NO COST to attend this program! This program is FREE, thanks to our gracious sponsor, SCOREalytics! If you can’t make it to the live program, the recording will be available for viewing via our paid CLE library- In-House Connect On-Demand.

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