Stefan Dandelles, Chair of Fidelity & Crime Practice Group Speaking at ABA Conference TIPS Section and FSLC, November 11, 2021th
Stefan Dandelles Managing Partner of KDV’s Chicago Office, and Chair, Fidelity & Crime Practice Group is scheduled to speak this week at the ABA Fall Fidelity Conference: Fidelity from the Ground Up: The Basics (and Beyond). This ABA Tort Trial and Insurance Practice Section (TIPS) Fidelity and Surety Law Committee (FSLC) event is from November 11 & 12 at the Westin New York at Times Square.
Stefan Dandelles along with other esteemed insurance panelists, Pia Ellis, Beazley Insurance Company, NY and Brian O’Neill, Berkshire Hathaway Specialty Insurance Company, NY will present “Employee Dishonesty and Employee Theft.” on Thursday, November 11 from 1:30 to 2:30 p.m.
The panel will explore the basics of Employee Dishonesty and Employee Theft insuring agreements and their evolution. Given changes in wordings and court interpretations over time, the panelists will address core issues that claims professionals must consider when evaluating a claim. From the ongoing debate over whether “direct means direct” to the distinctions between “dishonesty” and “theft”; “manifest intent” and “unlawful taking,” claims professionals must stay current with ever-changing case law, policy interpretations and methods by which employees cause losses to their employers or clients. Indeed, while sticky-fingered bookkeeper losses will persist, computer-based losses are increasingly common and more difficult to detect and investigate. Stefan Dandelles, Pia Ellis, and Brian O’Neill will focus on some of the fundamental loss scenarios faced by claim professionals, share war stories and highlight emerging coverage issues that claim professionals are sure to face. For more information about the ABA Conference click here.
Additionally, the previous day, KDV is a sponsor of the Fidelity Law Association 27th Annual Conference also at the Westin Times Square, on Wednesday, November 10. Information on that event can be found here