Monthly Archives: March 2017

Supreme Court To Determine Permissibility of Class Waivers In Employment Arbitration Agreements

pillarsLast month, the Supreme Court agreed to resolve a circuit split over whether class action waivers — mandating that any claims brought against the employer be brought individually rather than as a class — contained in employment arbitration agreements violate employees’ rights under the National Labor Relations Act. The Court recently announced that it would decide the highly-anticipated case in its 2017 term, beginning in October. Both the Seventh and Ninth Circuits have struck down class action waivers in arbitration agreements. The Fifth, Second, and Eighth Circuits have held the opposite. We will update when the Supreme Court has made its decision. In the meantime, companies should consider the rule in their circuit before rolling out new employment arbitration agreements.

 

Employee GPS and Location Data Protected

Businessman texting at sidewalk cafeTracking employee work time is a constant challenge for employers, especially when the employees are not physically working in one location. Unfortunately, at least one court has found that employers can’t use personal cell phone GPS data to establish employees’ hours of work.

A federal district court in Indiana recently held that an employer could not use sales representatives’ GPS data from their personal electronic devices — which were used for both work and personal purposes — to defend an FLSA overtime suit. In this case, the employer wanted to compel the sales representatives to disclose GPS and location data from their phones to show when they were and were not working. The court denied the employer’s request, expressing concern that disclosing GPS data from a personal device would result in tracking the employees’ movements well outside of their working time, which would violate personal privacy standards.

This case serves as a great reminder that employers need to find methods of accurately tracking employee work time without relying on data from personal devices.