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A group of 26 current Meta employees has filed a federal suit alleging the company relied on automated systems and activity monitoring when deciding who would be cut in May’s mass layoffs — a process they say disproportionately hit people on medical, parental or family leave. The case, lodged in Oakland late Monday, frames the dispute as a test of whether workplace algorithms accounted for legally protected absences.
Meta announced roughly 8,000 job cuts in May — about 10% of its global workforce — and the plaintiffs claim the company used a mixture of internal scoring tools, activity-tracking data and algorithmically assisted performance rankings to identify employees for separation. According to the complaint, those systems did not treat time away for health or caregiving the same way as on-the-job productivity, leaving employees who took approved leave with lower recorded “outputs.”
How the plaintiffs say the process worked
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The lawsuit alleges several specific kinds of automated or assisted decision-making played a role in selections: internal AI models, dashboards tracking token or system usage, keystroke and activity metrics, and performance scores generated with algorithmic input. Plaintiffs contend those measures were not adjusted to reflect protected absences, and that the company did not carry out the individualized reviews required by law when an employee had a disability or took leave.
All 26 named plaintiffs either took protected leave, requested a reasonable accommodation, or both. Although they have received layoff notices, the suit says they remain on Meta’s payroll for now, with planned separations scheduled to begin July 22.
Parental and medical leave figure prominently
About half of the employees in the complaint took leave related to pregnancy or caregiving. Several women were on maternity or pregnancy leave; a handful of men had taken parental leave; and others had medical leave or accommodations for disabilities.
One plaintiff described a manager warning that taking an approved medical leave could make them a likely target for the reductions — and the complaint says the company failed to provide an accommodation for a worker whose condition had been acknowledged by Meta’s own provider.
Meta pushed back in a short statement, saying the claims are unfounded and that decisions about workforce management are made by people rather than by automated systems.
Legal basis and broader legal context
The complaint names several federal protections, including the Family and Medical Leave Act, the Americans with Disabilities Act, the Pregnancy Discrimination Act and the Pregnant Workers Fairness Act. It also advances a disparate impact theory: that a facially neutral selection process can be unlawful if it disproportionately harms a protected group and is not job-related or necessary.
Disparate impact is a long-established civil-rights doctrine rooted in Title VII of the Civil Rights Act; its application has been the subject of recent political and regulatory debate, with some federal guidance shifting under prior administrations. Still, private plaintiffs can press disparate impact claims directly in court, and a number of states maintain their own prohibitions on such outcomes.
- Who the plaintiffs say is harmed: Workers on medical or caregiving leave who saw measured output drop while away from work.
- Immediate legal claims: Violations of FMLA, ADA, Pregnancy Discrimination Act and the Pregnant Workers Fairness Act.
- What plaintiffs seek: An order preserving employment status while the dispute proceeds through arbitration and court, to avoid irreversible harms.
- Potential consequences if separations proceed: Loss of employer-sponsored health coverage, forfeited equity, extinguished time-bound leave rights, and immigration impacts.
The lawyers for the employees emphasized the urgency: if the terminations become final, they warn, certain harms — particularly around health coverage during pregnancy or active medical treatment and the loss of unvested equity — cannot be undone. The immediate goal of the suit is to keep the workers employed while claims are adjudicated.
Beyond the individual claims, the case will be watched for what it signals about how large employers use algorithmic tools in personnel decisions. Regulators, privacy advocates and civil-rights lawyers have increasingly scrutinized automated monitoring and scoring systems for potential bias; a court ruling here could clarify how the law treats those systems when they intersect with protected leave and disability accommodations.
For now, the dispute remains in its early stages. Observers say the outcome could shape employer practices on the use of analytics for workforce reductions and influence ongoing debates about algorithmic fairness in the workplace.
