Schroeder Comments on Ramifications of Uber’s Move Away From Arbitration Agreements
June 19, 2018
HR Dive
Partner Don Schroeder was quoted in an article for HR Dive, “Is This a #MeToo Moment for Gig Workers?” about whether Uber’s decision to drop mandatory arbitration agreements for sexual assault and harassment claims is likely to have a big impact on other gig economy companies.
Apart from the public relations aspect of the move, Schroeder said he was confused by the decision, particularly given the case law supporting gig workers’ independent contractor status. “I think it was more of a face-saving attempt,” he said. “[Of] the things that companies in the gig economy are doing, some of them will have wide-scale changes. This isn’t one of them.”
Apart from the public relations aspect of the move, Schroeder said he was confused by the decision, particularly given the case law supporting gig workers’ independent contractor status. “I think it was more of a face-saving attempt,” he said. “[Of] the things that companies in the gig economy are doing, some of them will have wide-scale changes. This isn’t one of them.”
People
Related News
March 13, 2026
In the News
Chris Babcock and Chris Converse on Wave of Companies Moving to Texas
Foley & Lardner LLP partners Chrisopher Babcock and Chris Converse commented on the widening trend of companies reincorporating to Texas in the Houston Business Journal article, “Texas law changes could spark wave of corporate redomestication proposals."
March 12, 2026
In the News
Louis Lehot Explores M&A's Growing Blitzhire Phenomenon
Foley & Lardner LLP partner Louis Lehot authors article on the emergence of blitzhires in the Mergers & Acquisitions article, “Blitzhires: The New Fast-Moving M&A Deal.”
March 10, 2026
In the News
Aaron Maguregui Shares Insights on Shadow AI Risks in Health Care
Foley & Lardner LLP partner Aaron Maguregui was quoted in the Part B News article, “Do you need AI policy? Experts suggest guardrails as 'shadow AI' spreads,” discussing the emerging risks of unsanctioned 'shadow AI' use by clinicians and the need to establish robust AI governance.