Welcome!

News Feed Item

Court finds that workforce of FedEx Ground drivers are employees, not independent contractors, says Leonard Carder

Could Be Liable for Hundreds of Millions of Dollars in Drivers' Operating Expenses and Wages

OAKLAND, Calif., Aug. 27, 2014 /PRNewswire-USNewswire/ -- Today, the Ninth Circuit Court of Appeal ruled that a class of 2,300 individuals working for FedEx Ground was misclassified as independent contractors instead of employees.  As a result, FedEx may owe its workforce of drivers hundreds of millions of dollars for illegally shifting to them the costs of such things as the FedEx branded trucks, FedEx branded uniforms, and FedEx scanners, as well as missed meal and rest period pay, overtime compensation, and penalties.  The case, known as Alexander v. FedEx Ground, covers employees in California from 2000 - 2007. The ruling can be found on the Leonard Carder website at leonardcarder.com.

Judge Fletcher's majority opinion was very clear on the question of whether these workers are employees or independent contractors, stating "We hold that plaintiffs are employees as a matter of law under California's right-to-control test."

The court's decision is the most recent in a series of cases that have methodically proven that FedEx Ground's independent contractor model is built on the legal fiction that its drivers are in business for themselves. The Ninth Circuit decisively rejected that claim.  The court's finding in Alexander that drivers in California are covered by California's workplace protection statutes not only impacts one of FedEx Ground's largest workforces but could influence the outcome in over two dozen cases nationwide in which FedEx Ground drivers are challenging the legality of their independent contractor classification.  Millions of packages are delivered every day across the state under the control, direction, and supervision of FedEx Ground.  In addition, many trucking companies have been operating under a similar model in which they classify their drivers as independent contractors.

"FedEx Ground built its business on the backs of individuals it labelled as independent contractors, promising them the entrepreneurial American Dream," said Leonard Carder Attorney Beth A. Ross who is a national leader on cases covering the exploitation of workers by mischaracterizing them as independent contractors.  "However, as Judge Trott said in his concurring opinion, not all that glitters is gold."

FedEx now requires its so-called contractors in California to hire a secondary workforce of FedEx drivers, who do the same work as the plaintiffs under the same contract.  The Alexander decision calls into question FedEx's strategy of making plaintiffs the middle men between the secondary workforce of drivers and FedEx.

"We have heard of many instances where the secondary drivers are earning such low wages that they have to rely on public assistance to make ends meet," said Ross.

Background on the everyday experience for FedEx Ground drivers includes:

  • FedEx Ground drivers were required to pay out of out of pocket for everything from the FedEx Ground branded trucks they drove (painted with the FedEx Ground logo) to fuel, various forms of insurance, tires, oil changes, maintenance, etc. as well as their uniforms, scanners and even workers compensation coverage.
  • In some cases workers were required to pay the wages of employees who FedEx Ground required them to hire to cover for them if they were sick or needed a vacation, to help out during the Christmas rush, and in some cases to drive other FedEx Ground trucks.
  • After paying these expenses, a typical FedEx driver makes less than employee drivers at FedEx Ground's competitors like UPS, and receives none of the employee benefits, like health care, workers compensation, paid sick leave and vacation, and retirement.
  • In addition, their employment was subject to the whims of FedEx management and FedEx Ground's decisions on staffing and routes left the employee drivers stuck with expensive long-term truck leases on FedEx branded trucks. 

The drivers' attorney Beth Ross added, "Nationally, thousands of FedEx Ground drivers must pay for the privilege of working for FedEx 55 hours a week, 52 weeks a year.  Today, these workers were granted rights and benefits entitled to employees under California law.  To be clear, the Ninth Circuit exposed FedEx Ground's independent contractor model as unlawful."

Among the noteworthy elements to emerge from the litigation, FedEx Ground's practices take advantage of workers and are anti-competitive.  FedEx Ground's so-called "contractors" do the same work as UPS and U.S. Postal Service drivers for substantially less pay and without benefits. This plays out in two distinct ways.   FedEx Ground saves money and harms drivers and the public by avoiding employment taxes and workers' compensation insurance, and complying with all other workplace protections.

Ross added, "This ruling will have seismic impact on this industry and the lives of FedEx Ground drivers in California."

About Leonard Carder

As one of the oldest and most renowned law firms representing labor unions and employees, Leonard Carder's focus is to provide top-flight legal representation to the labor movement and to advocate on behalf of employees through class actions, individual employee rights cases, and law reform litigation.

SOURCE Leonard Carder

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will d...
While DevOps most critically and famously fosters collaboration, communication, and integration through cultural change, culture is more of an output than an input. In order to actively drive cultural evolution, organizations must make substantial organizational and process changes, and adopt new technologies, to encourage a DevOps culture. Moderated by Andi Mann, panelists discussed how to balance these three pillars of DevOps, where to focus attention (and resources), where organizations might...
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Le...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.
CI/CD is conceptually straightforward, yet often technically intricate to implement since it requires time and opportunities to develop intimate understanding on not only DevOps processes and operations, but likely product integrations with multiple platforms. This session intends to bridge the gap by offering an intense learning experience while witnessing the processes and operations to build from zero to a simple, yet functional CI/CD pipeline integrated with Jenkins, Github, Docker and Azure...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Dhiraj Sehgal works in Delphix's product and solution organization. His focus has been DevOps, DataOps, private cloud and datacenters customers, technologies and products. He has wealth of experience in cloud focused and virtualized technologies ranging from compute, networking to storage. He has spoken at Cloud Expo for last 3 years now in New York and Santa Clara.
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.
Containers and Kubernetes allow for code portability across on-premise VMs, bare metal, or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this session we'll describe best practices for "configuration as code" in a Kubernetes environment. We will demonstrate how a properly constructed containerized app can be deployed to both Amazon and Azure ...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.