J. Michael Taylor, Partner, King & Spalding LLP to Speak at TKG’s event

General News

Summary

He represents U.S. manufacturers in administrative and appellate litigation to obtain antidumping and countervailing duty relief from unfairly traded imports.In this two-hour live webcast, a panel of distinguished professionals and thought leaders organized by The Knowledge Group will help companies and their counsel understand the risk associated with importing goods subject to AD/CVD duties.Key topics include: Antidumping (AD) and Countervailing Duties (CVD) – An Overview 2017 Update on AD/CVD AD/CVD Risks for Importers Restrictions and Covenants Recent Laws Impacting AD/CVD Trade Preferences Extension Act Customs Bill Recent Court Treatment Best Practices for Import Compliance About The Knowledge Group /The Knowledge Congress Live Webcast Series The Knowledge Group was established with the mission to produce unbiased, objective, and educational live webinars that examine industry trends and regulatory changes from a variety of different perspectives.To contact or register for an event, please visit: http://theknowledgegroup.org/ New York, NY, January 06, 2017 --( PR.com )-- The Knowledge Group/The Knowledge Congress Live Webcast Series, the leading producer of regulatory focused webcasts, has announced today that J. Michael Taylor, Partner, King & Spalding LLP will speak at the Knowledge Group’s webcast entitled: “Anti-dumping (AD) and Countervailing duties (CVD): A 2017 Update LIVE Webcast.” This event is scheduled for January 11, 2017 from 3:00pm – 5:00pm (ET).For further details, please visit: https://theknowledgegroup.org/event-homepage/?event_id=2053About J. Michael TaylorMichael Taylor is a partner in King & Spalding’s International Trade group in Washington, D.C.He represents U.S. manufacturers in administrative and appellate litigation to obtain antidumping and countervailing duty relief from unfairly traded imports.

Classifications

industries
No industries detected
applications
No applications detected

AskAI Classifications

Labels
No AI classifications detected

Linked Companies