Employment Law

Apple sued OpenAI and two former Apple employees on Friday, July 10, 2026, in the U.S. District Court for the Northern District of California, alleging coordinated theft of trade secrets to accelerate OpenAI's consumer hardware development. The complaint names Chang Liu and Tang Tan as defendants and accuses OpenAI of orchestrating a campaign to recruit Apple staff and extract confidential project information, including technical drawings and component specifications. Apple alleges that Tan, while still employed there, used insider knowledge of confidential projects to extract proprietary information from job candidates during OpenAI interviews before his departure.

On July 10, 2026, Apple filed a federal lawsuit in the Northern District of California against OpenAI, former Apple executives Tang Tan and Chang Liu, and io Products, LLC, alleging a coordinated scheme to steal trade secrets and accelerate OpenAI's entry into consumer hardware. The complaint accuses OpenAI of systematically acquiring confidential Apple information—including product designs, manufacturing processes, and supply chain strategies for the iPhone, Apple Watch, and MacBook—to build competing AI devices.

American Healthcare Systems Corp. and its founder Mike Sarian filed an amended complaint in California state court on Tuesday, July 7, 2026, accusing their former in-house counsel Faisal Gill of orchestrating an extortion and takeover scheme. The complaint also names Dr. Aramais Paronyan, a minority shareholder and director, as a participant in efforts to remove Sarian from control and restrict his access to company finances. AHS operates five Florida hospitals, including Palmetto General and Coral Gables Hospital.

Apple filed a federal lawsuit on July 10, 2026, alleging that OpenAI and its chief hardware officer Tang Tan orchestrated a systematic campaign to steal confidential trade secrets related to unreleased Apple products. According to the complaint, OpenAI encouraged former Apple employees and job candidates to share components, drawings, and internal product information to accelerate OpenAI's own hardware development efforts.

Twenty-six current and former Meta employees filed a federal lawsuit Monday in the U.S. Northern District Court of California alleging the company used artificial intelligence systems to systematically target workers with disabilities or those on protected medical, parental, or family leave during its May 2024 mass layoff. The plaintiffs claim Meta replaced managerial discretion with AI-driven metrics—including productivity scores, keystroke monitoring, and AI token consumption data—to generate termination lists, effectively penalizing employees for approved absences. The complaint names specific tools including Metamate, Meta's internal AI assistant, and employee-built monitoring dashboards that allegedly recorded absences as "disengagement" and suppressed performance ratings. One plaintiff was terminated while on approved pre-birth leave; another alleges a manager discouraged medical leave by warning that leadership would "definitely" fire them if they took it.

Traci Tamiko Eto, former research director at Mayo Clinic, filed a federal lawsuit on July 6, 2026, alleging retaliation and wrongful termination after she raised concerns about AI safety failures and patient privacy violations. According to the complaint, Eto was demoted in July 2025, placed on involuntary medical leave, and fired in December 2025 when her position was eliminated in a reduction in force that reportedly affected only her role. The suit was filed in U.S. District Court for the District of Minnesota under the False Claims Act's retaliation provision, the Americans with Disabilities Act, and the Family and Medical Leave Act.

Major law firms are moving beyond adopting AI tools to building proprietary systems designed to entrench their competitive position. Kirkland & Ellis announced a $500 million investment in a custom AI platform, while Fried Frank is embedding AI directly into its funds practice. This shift signals a departure from treating technology as a commodity—firms are now reorganizing core operations around AI capabilities and integrating partner expertise into these systems to create defensible competitive advantages.

A Tennessee federal judge has ordered Reaves Law Firm PLLC to pay $45,000 in attorney fees to Baker Donelson after the firm submitted court filings containing fabricated citations and fake quotations generated by artificial intelligence. Chief U.S. District Judge Sheryl H. Lipman of the U.S. District Court for the Western District of Tennessee found that Reaves Law violated Federal Rule of Civil Procedure 11 by citing nonexistent cases and misquoting real ones.

The Department of Justice announced the sentencing of two U.S. nationals for operating a multiyear scheme that deployed North Korean IT workers under stolen American identities to infiltrate over 100 U.S. companies. Kejia Wang, 42, and Zhenxing Wang, 39, used at least 80 fraudulent identities to secure remote positions across the corporate sector, generating more than $5 million in illicit revenue for the DPRK regime. The operation relied on "laptop farms"—physical U.S.-based facilities hosting computers that allowed overseas workers to bypass location-based security checks, making employers believe they were hiring domestically based remote staff.

Reed Smith LLP has established a dedicated artificial intelligence department combining lawyers, e-discovery specialists, and AI professionals to advise clients on legal, business, and technology issues related to AI. A Philadelphia-based partner will lead the new unit, formalizing what has been an expanding capability across the firm.

On March 2026, more than 23,000 Kaiser Permanente nurses and approximately 2,400 mental health professionals in Northern California staged a coordinated six-hour strike across five facilities—Fresno, Oakland, Sacramento, Santa Clara, and Santa Rosa Medical Centers. The work stoppage, which ran from 8 a.m. to 2 p.m., was organized by the National Nurses United and the National Union of Healthcare Professionals to protest Kaiser's expanding use of artificial intelligence in patient care and clinical roles.

Apple sued OpenAI on July 10, 2026, in federal court in California, alleging the AI company systematically stole trade secrets to build competing consumer hardware and AI devices. The complaint names OpenAI's Chief Hardware Officer Tang Tan and two former Apple employees, accusing them of a coordinated scheme to recruit Apple staff and direct job candidates to bring proprietary components, prototypes, and engineering documents to interviews. Apple seeks damages, injunctions, and an order prohibiting OpenAI from using the stolen information.

Major technology companies have reversed course on artificial intelligence's labor impact. Where executives spent the past year warning of mass job displacement, they now promote AI as a productivity multiplier that allows companies to accomplish more with existing workforces. Sam Altman, CEO of OpenAI, acknowledged in May 2026 that earlier predictions about AI-driven job losses were "quite mistaken," despite the underlying technology performing as expected. Dario Amodei, who previously warned that AI could eliminate half of entry-level positions, now frames the issue as a corporate choice between workforce reduction or increased output. Tech firms are simultaneously deploying internal "AI champions" to drive adoption among resistant employees.

The Writers Guild of America filed suit in U.S. District Court for the Northern District of California on July 14, 2026, to block the $111 billion merger between Paramount Skydance and Warner Bros. Discovery. The union alleges the deal violates the Clayton Antitrust Act by creating a "single mega-buyer" that would suppress wages and reduce competition across episodic television, streaming series, and theatrical screenwriting markets. The filing came one day after twelve Democratic-led states, led by California Attorney General Rob Bonta, announced their own federal antitrust challenge to the same transaction.

Tech executives have reversed course on artificial intelligence's employment impact. After 78,557 tech layoffs in Q1 2026—nearly half explicitly attributed to AI automation—companies are acknowledging that promised productivity and financial gains have not materialized. Only 12% of CEOs report that AI successfully boosted revenue while lowering costs, and 95% of generative AI projects have failed to deliver expected returns. This reality has prompted a public softening of warnings about mass job displacement, a sharp departure from earlier alarmist predictions.

A federal judge in Arizona is weighing fee sanctions against attorney Maren Bam for submitting a brief laced with fabricated legal citations and AI-generated quotations in an employment discrimination case. U.S. Magistrate Judge Alison S. Bachus identified the violations in Bam's plaintiff's opening brief in a Phoenix Suns discrimination matter, where 19 of the brief's legal citations were generated by artificial intelligence. Only 5 to 7 of those cases actually existed or supported the propositions attributed to them. The brief also contained fake quotations falsely attributed to Arizona federal judges. Bam, a Washington State attorney operating pro hac vice in the District of Arizona, runs a nationwide Social Security disability practice.

New York legislators are advancing two bills that would impose distinct compliance obligations on businesses using artificial intelligence. Assembly Bill 3411B would require any user of generative AI systems to display a clear notice on the interface warning that outputs may be inaccurate. Assembly Bill 9581B targets employers and businesses using AI in hiring and workforce management, mandating annual reports to the New York Department of Labor detailing AI's impact on employment—including estimates of displaced workers, reduced hours, and unfilled positions. Businesses that fail to submit the required report by March 1 face civil penalties of up to $500 per day.

Meta faces a federal lawsuit from 26 current and former employees alleging the company used AI systems and workplace surveillance data to identify workers for layoffs, with particular focus on those on medical, parental, disability, or other legally protected leave. The complaint, filed in Oakland federal court, identifies specific tools including Metamate (an internal large language model), AI-assisted productivity rankings, keystroke and screen monitoring, email and browser history scanning, and AI token-usage metrics as central to the termination selection process. Meta denies the allegations, stating that human managers made all layoff decisions.

An advisory article cataloging eight high-risk uses of AI assistants like ChatGPT and Claude has highlighted the gap between widespread adoption and user safety guidance. The piece identifies specific domains where these large language models pose unacceptable risk: legal and compliance decisions, hiring or termination calls, medical diagnostics, and generation of final financial figures. The core problem is familiar—LLMs hallucinate statistics and present false information with unwarranted confidence—but the article emphasizes a secondary issue: AI providers themselves offer little guidance on what users should avoid, leaving organizations to independently identify pitfalls around data privacy, accuracy requirements, and inappropriate outputs.

The federal judiciary has established a clear constitutional prohibition on federal grant termination based on recipients' involvement with Diversity, Equity, and Inclusion initiatives. The Southern District of New York ruled in the ACLS case that the government's withdrawal of DEI-related humanities grants violated both the First Amendment and the Fifth Amendment's Equal Protection Clause, characterizing the actions as "textbook examples" of unconstitutional discrimination. Courts in the Northern District of California and elsewhere have reached similar conclusions, blocking the Department of Justice and Department of Education from enforcing new DEI-related conditions on community policing grants and other federal funding.

Artificial intelligence has fundamentally altered the employment landscape by enabling employers to reconstruct comprehensive digital histories of workers—including deleted posts, archived social media accounts, and browsing activity—making attempts to obscure past behavior a potential liability rather than a privacy safeguard. AI monitoring platforms including Teramind, Controlio, ActivTrak, and Worklytics now track keystrokes, screen activity, website visits, and sentiment analysis across workplace communications. When employees attempt to sanitize their online presence, algorithms frequently flag these deletions as suspicious activity, potentially triggering hiring rejections or termination.

Meta CEO Mark Zuckerberg told Complex's Idea Generation series that artificial intelligence will not inevitably cause widespread job displacement, arguing instead that companies focusing on worker productivity can generate net job growth rather than decline. He acknowledged that automation anxiety is real but insisted it is not predetermined—the outcome depends on whether productivity gains outpace task automation.

A senior architect of Kirkland & Ellis's expansion is publicly arguing that artificial intelligence represents the legal profession's future rather than merely a back-office efficiency tool, according to reporting in the Wall Street Journal. The statement reflects a broader shift among elite law firms experimenting with AI to accelerate drafting, legal research, and high-volume document work.

Employees are increasingly requesting religious accommodations to avoid using artificial intelligence tools at work, forcing employers to navigate exemption requests under tightened legal standards. The shift marks a departure from earlier AI workplace concerns centered on algorithmic bias and efficiency, introducing a novel religious accommodation issue that implicates federal employment law.

Bracewell LLP has hired Dina McLeod as a partner in its New York government enforcement and investigations practice. McLeod, who spent 11 years at the U.S. Attorney's Office for the Southern District of New York, most recently served as chief of the Complex Frauds and Cybercrime Unit. In that role, she oversaw investigations and prosecutions involving white-collar crime, cybercrime, AI-related fraud, cryptocurrency schemes, digital assets, money laundering, securities fraud, trade secrets theft, tax fraud, healthcare fraud, bankruptcy fraud, FCPA violations, and national security cyber cases.

A Dubai-based CEO and trader has pleaded guilty in federal court in Massachusetts to conspiring with a former BigLaw M&A associate to run a decade-long insider trading operation that generated tens of millions in illicit profits. The scheme involved 30 defendants—corporate attorneys and financial professionals—who allegedly stole confidential client data from nearly 30 major M&A transactions to trade on material nonpublic information between March 2014 and August 2024.

Three prominent economists have reached starkly different conclusions about artificial intelligence's impact on employment, according to a Carnegie Endowment report analyzing the same labor data. Nobel laureate Robert Shiller argues fears of mass job displacement are overblown. David George, a General Partner at Andreessen Horowitz, has called the "AI job apocalypse" a "total fabrication" and "misleading marketing." Economist Anton Korinek predicts significant labor-market losses beginning in 2026. The disagreement centers on the speed of AI adoption, the capabilities of future systems, and whether new jobs will replace those automated away.

Companies including Walmart, Starbucks, Delta, and Chevron are deploying AI-powered employee monitoring systems that track keystrokes, idle time, email and Slack activity, meeting participation, location data, and even tone analysis to assess productivity and flag retention risk. These tools have moved beyond niche management software into widespread workplace surveillance, often integrated into performance reviews and employment decisions without full employee visibility. The Consumer Financial Protection Bureau has begun enforcement action related to the practice, while legal scholars and researchers are actively analyzing employee privacy rights in this context.

The Federal Trade Commission formally withdrew its proposed nationwide ban on noncompete agreements in February 2026, ending an enforcement effort that began in April 2024. A federal court in Texas blocked the rule in August 2024, and the FTC subsequently abandoned its appeal in September 2025 under Chair Andrew Ferguson. The agency removed the regulation from the Code of Federal Regulations on February 12, 2026. The FTC has shifted to case-by-case enforcement rather than broad rulemaking, signaling a policy realignment under the Trump administration that favors targeted action over sweeping regulations.