Coverage in the Fast Lane: Rideshares, Stacking, Automation, and Bad Faith Detours

In today's rapidly evolving insurance landscape, litigation over uninsured/underinsured motorist (UM/UIM) coverage demands a sharpened strategy and up-to-date insights. This CLE program dives into the complexities of modern coverage disputes, from policy stacking controversies and the rise of autonomous vehicles to unique challenges posed by rideshare drivers and real-time telematics. With increasing litigation risk tied to privacy, automation, and policy ambiguity, practitioners must stay ahead of the curve.

Cassie Ware Preston of Gordon Rees Scully Mansukhani LLP guides attendees through key coverage principles, significant case law, and practical litigation tactics for navigating these hot-button issues. Whether dealing with coverage gaps in driverless technology or evaluating bad faith exposure in claims involving mobile data, this course equips lawyers with actionable tools to better serve clients and mitigate risk across state lines.

Learning Objectives:

1. Distinguish between UM and UIM coverage and explain the implications of stacking policies across different jurisdictions

2. Identify how autonomous vehicle technologies are reshaping insurance policy interpretation and coverage litigation

3. Analyze the evolving definition of "on-duty" for rideshare drivers and its impact on coverage triggers

4. Evaluate the intersection of bad faith claims and data usage, especially in rideshare and automated driving contexts

5. Apply proactive litigation strategies involving expert use, multi-policy coordination, and choice-of-law considerations