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Ninth Circuit Determines That Dynamex Independent Contractor Test Applies Retroactively

Client Alert | 2 min read | 05.03.19

On May 2 the Ninth Circuit determined that the California Supreme Court’s 2018 Dynamex decision, which adopted a standard presuming that all workers are employees and announced a new “ABC test” making it harder for businesses to classify workers as independent contractors, applies retroactively. 

In Vasquez, et al. v. Jan-Pro Franchising International, Inc., the Ninth Circuit vacated janitorial franchisor Jan-Pro’s victory in a proposed class action filed in 2008 and ordered the district court to apply the Dynamex ABC test.  Even though the Dynamex opinion was silent on the issue of retroactivity, the appeals court held that the ABC test applies retroactively because of “the strong presumption” that judicial decisions in California operate retroactively and because the California Supreme Court denied a petition by an amicus (without comment) to clarify that the Dynamex test is prospective only.  The Ninth Circuit also noted that at least two California appellate courts have applied the Dynamex test retroactively and that applying the test is consistent with due process because, quoting the California Supreme Court, “wage orders are the type of remedial legislation that must be liberally construed in a manner that services its remedial purpose.”    

The Dynamex decision has had far-reaching effects on businesses across California, especially in those “gig economy” industries which rely on part-time, off-site workers to support a business’s core mission. The Ninth Circuit’s Vasquez decision makes employers vulnerable to wage claims dating back up to four years.  In addition to considering how current employment policies conform to the ABC test, employers may face new challenges to policies and practices concerning independent contractors that were in effect before the 2018 Dynamex decision.

Although the Ninth Circuit remanded to the district court for application of the ABC test, the appeals court also advised the district court on the merits.  The appeals court focused on prong “B” in particular, which requires consideration of whether the janitors performed work outside the usual course of Jan-Pro’s business.  The Ninth Circuit said that the lack of a contract between Jan-Pro and workers does not preclude liability and that, contrary to Jan-Pro’s claims that it is in the business of “franchising” rather than cleaning, that the district court should consider how Jan-Pro characterized itself in websites and advertising and whether Jan-Pro’s business “depends on someone performing the cleaning.”  In light of Vasquez, employers may want to reconsider how they characterize their business and who they classify as a contractor.

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Client Alert | 4 min read | 05.13.24

Harmonizing AI with EEO Requirements: OFCCP’s Blueprint for Federal Contractors

Now more than ever, federal contractors find themselves at the intersection of innovation and regulation, particularly in the realm of Artificial Intelligence (AI).  AI is now incorporated into a broad range of business systems, including those with the potential to inform contractor employment decisions.  For that reason, the Office of Federal Contract Compliance Programs (OFCCP) has issued new guidance entitled “Artificial Intelligence and Equal Employment Opportunity for Federal Contractors” (the “AI Guide”).  OFCCP issued the AI Guide in accordance with President Biden’s Executive Order 14110 (regarding the “Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence”), which we reported on here.  The AI Guide provides answers to commonly asked questions about the use of AI in the Equal Employment Opportunity (EEO) context.  The AI Guide also offers “Promising Practices,” which highlight a number of important considerations for federal contractors.  Focusing on federal contractors’ obligations and attendant risks when utilizing AI to assist in employment-related decisions, the AI Guide also provides recommendations for ensuring compliance with EEO requirements while harnessing the efficiencies of AI....