Lawyers monitoring the technology sector are watching a convergence of landmark cases that could reshape how digital companies face mass tort liability. What makes 2026 different is not just the size of settlements—Google alone has agreed to over $833 million across three major cases—but the legal precedents being established. For the first time, courts are signaling that tech companies can be held liable not just for what they do with consumer data, but for how they engineer digital experiences themselves. Google’s $68 million settlement over illegal recording of private conversations through Google Assistant and its $135 million Android data collection settlement for cellular surveillance suggest that regulators and courts view design-based claims as viable mass torts.
Lawyers describe 2026 as a turning point for several reasons. First, the data privacy class action docket exploded in 2025 with 1,800+ cases filed—representing a 25% jump from 2024 and a 200% increase since 2022, averaging 150+ filings monthly. Second, social media giants face mass tort trials specifically for intentional product design choices. Third, AI copyright cases are entering their decisive phase, with courts about to rule on whether training on copyrighted data constitutes fair use—a determination that could open entirely new classes of claimants. Understanding these trends is critical for anyone considering whether they might have claims against tech companies, or for those simply watching how corporate accountability in the digital age is evolving.
Table of Contents
- The Settlement Avalanche—Why $800M+ Agreements Are Only the Beginning
- The Data Privacy Litigation Explosion and Why Regulatory Expansion Is Fueling It
- Social Media Platform Design Liability—A New Mass Tort Theory in 2026 Trials
- AI Copyright and the Fair Use Boundary—A Decisive Moment for Emerging Litigation
- Emerging AI Consumer Protection Claims and the Toy Safety Precedent
- Lithium Ion Battery Antitrust—How Hardware Liability Extends Beyond Software
- The 2026 Litigation Forecast and Why Tech Remains the Fastest-Growing Mass Tort Docket
The Settlement Avalanche—Why $800M+ Agreements Are Only the Beginning
The sheer volume and speed of tech settlements in 2025-2026 signal that companies are now treating mass tort exposure as a material business risk. Google’s three settlements totaling $833 million represent the clearest example: $630 million from the Google Play Store antitrust case (preliminary approval November 2025), $68 million for Google Assistant privacy violations, and $135 million for Android data collection used in targeted advertising (preliminary approval March 5, 2026). But Google is not an outlier—Meta has agreed to settlements exceeding $3 billion total, including a $725 million user privacy settlement with individual payments of $4.89 to $38.36 per claimant, and a $50 million California settlement with the state attorney general over deceptive privacy controls. Apple has agreed to over $700 million in settlements, including a $95 million Siri privacy settlement and the infamous $500 million “Batterygate” settlement at $92.17 per claimant. What distinguishes these cases from earlier tech litigation is the variety of claims now succeeding. The Google Assistant settlement targets secret recording—a visceral privacy violation.
The Android settlement alleges that Google collected cellular data specifically to enable targeted advertising, a clear commercial exploitation angle. The Meta settlements address both the use of data and the deceptive design of privacy controls themselves, suggesting that how a company obscures user choice is itself actionable. This matters because lawyers are now actively searching for similar design patterns at other platforms, and the precedent that privacy controls can be “deceptively obscured” creates a template for future claims. However, settlement size does not always correlate with individual payout. A claimant in the Google Play Store settlement may recover far less per capita than one in the Siri settlement, depending on the number of valid claims submitted. Lawyers monitor individual payout potential, not just headline damages, when deciding which claims to pursue and which class actions to join.
The Data Privacy Litigation Explosion and Why Regulatory Expansion Is Fueling It
The real driver behind lawyers’ attention to tech cases is not any single settlement, but the explosion in privacy legislation that is creating new categories of defendants. As of January 2026, 20 states are actively enforcing comprehensive privacy laws—including the California Consumer Privacy Act (CCPA), Virginia Consumer Data Protection Act (VCDPA), Colorado Privacy Act (CPA), and others. Each new law creates new enforcement vectors and new theories of liability. State attorneys general are now coordinating enforcement and imposing substantial remedies, targeting specific violations: failure to honor opt-out rights, inadequate cybersecurity protections, and unauthorized data transfers to foreign jurisdictions. This regulatory environment translates directly into litigation.
In 2025, data privacy class actions filed reached 1,800+, averaging 150+ filings per month—a 25% increase over 2024 and a 200% increase since 2022. Lawyers view this trend as likely to continue as long as data breaches and unauthorized data use remain common. The predictability of the docket makes it a focus area for plaintiff’s firms. However, not every privacy violation results in successful class certification. Courts have grown more skeptical of “data theft” theories in recent years, particularly when plaintiffs cannot demonstrate concrete injury or misuse of their specific data. The legal landscape is shifting toward requiring proof of actual harm or at least targeted advertising based on illicitly collected data, rather than mere collection itself.
Social Media Platform Design Liability—A New Mass Tort Theory in 2026 Trials
Among the cases lawyers are watching most closely are the social media mass tort trials scheduled for 2026 involving Meta (Facebook/Instagram), Snap (Snapchat), and TikTok. These cases allege something different from data misuse: they claim that these platforms intentionally engineered addictive features that caused psychological harm, particularly to children and teens. The basis of these claims is not that the platforms mishandled data, but that the *product design itself*—infinite scroll, algorithmic content prioritization, notification systems, engagement metrics—was deliberately optimized to maximize time spent, exploit psychological vulnerabilities, and cause harm. For lawyers, the significance cannot be overstated. These trials will be the first real test of whether digital product design decisions can constitute the basis for a mass tort claim. Traditional mass torts involve defective physical products or hazardous chemicals.
If courts accept that digital platform design can be “defective” in a legally actionable way, the liability exposure for social media and technology companies dramatically expands. Every company optimizing for engagement—which is nearly all social platforms and many consumer apps—becomes a potential defendant. The 2026 trial outcomes will establish whether this liability theory survives summary judgment, and if claimants can actually recover damages. The limitation here is significant: establishing causation between platform design and psychological harm is legally and scientifically complex. Defendants argue that individual user behavior, family environment, and pre-existing mental health conditions are confounding factors. Courts may be reluctant to hold companies liable for outcomes that have multiple causes. However, if trials show that platforms knowingly deployed features shown in internal research to increase addictive behavior, causation becomes stronger.
AI Copyright and the Fair Use Boundary—A Decisive Moment for Emerging Litigation
Two cases are about to reshape AI liability: New York Times v. OpenAI and Getty Images v. Stability AI. These cases ask courts to decide whether training large language models and image generators on copyrighted data without permission constitutes fair use. The outcomes will determine whether copyright holders can mount successful class actions against AI companies, and whether there are billions of dollars in potential liability for unauthorized training. Courts have already begun signaling that they view these questions seriously, with judges in both cases pushing back on broad fair use defenses and asking pointed questions about the commercial nature of the defendants’ businesses. Lawyers view the copyright determination as a potential trigger for a new wave of class actions.
If courts rule that training on copyrighted data is not fair use, then every author, photographer, and artist whose work was used could theoretically join a class action against OpenAI, Stability AI, and others. The damages could be substantial—either statutory damages of $750 to $30,000 per work infringed, or actual damages if the court finds willful infringement. Additionally, broader AI class actions are growing in the employment litigation space, with workers claiming that AI training systems were built on their labor without compensation or disclosure. However, there is genuine uncertainty here. Courts may find fair use applies to training data while still imposing limits on commercial use. Alternatively, they may establish licensing frameworks rather than broad bans. The outcome will likely be more detailed than a simple “copyright infringement yes/no” ruling, potentially creating a patchwork of liability that only applies to certain AI uses or certain types of data.
Emerging AI Consumer Protection Claims and the Toy Safety Precedent
Beyond copyright, new regulatory frameworks are creating novel consumer protection claims. In February 2026, Maryland proposed the Artificial Intelligence Toy Safety Act, which would establish the first regulatory framework for AI-enabled toys under consumer protection law. This precedent signals that regulators view AI systems as products subject to safety standards, and violations of those standards could become the basis for consumer class actions. The FTC is actively broadening enforcement in related areas: children’s data collection, geolocation tracking, health information privacy, and unauthorized data transfers to foreign jurisdictions. These enforcement actions are already translating into litigation use.
Companies facing FTC investigations or state attorney general enforcement actions often settle class actions to avoid multi-front litigation and regulatory penalties. Lawyers monitor FTC actions specifically because they create roadmaps for class action claims. However, consumer protection claims require proof of actual damages or injury, not just regulatory violation. A company could face FTC enforcement for inadequate AI toy safety disclosures without facing a successful class action if consumers cannot demonstrate financial harm. Courts have grown more strict about requiring concrete injury, not mere technical violations.
Lithium Ion Battery Antitrust—How Hardware Liability Extends Beyond Software
Tech litigation is not limited to digital products. A $113 million antitrust settlement covering lithium-ion battery price-fixing by LG Chem, Panasonic, Sanyo, Sony, Samsung SDI, Hitachi, and Maxell shows that hardware supply chains are also ripe for class action activity. This settlement covers anyone who purchased laptops, camcorders, and power tools containing these batteries since 2000—a potentially vast class.
Lawyers are watching similar antitrust cases in semiconductors and rare earth minerals, recognizing that tech supply chains present ongoing opportunities for price-fixing class actions. What makes these cases attractive to plaintiffs’ firms is that antitrust liability is strict—once price-fixing is proven, damages are presumed. This is different from privacy or design defect claims, which require proving harm. For consumers, the implication is that hardware purchase class actions may be more likely to succeed and proceed to settlement than software-based claims.
The 2026 Litigation Forecast and Why Tech Remains the Fastest-Growing Mass Tort Docket
Looking ahead to 2026, the factors that made 2025 a record year for tech litigation are intensifying. First, the regulatory environment continues expanding—more states are implementing privacy laws, and the FTC is increasing AI-focused enforcement. Second, the appellate decisions in major cases like Meta’s antitrust claims and the copyright cases will create new precedents that either open or close liability. Third, the social media design defect trials will either establish a entirely new category of tech liability or effectively cap that theory.
For lawyers, there is genuine uncertainty about how courts will rule, which drives litigation activity. The highest 10 class-action settlements in 2025 exceeded $70 billion total—the first time ever crossing this threshold—and tech cases represented a disproportionate share. Expect this trend to continue in 2026 as pending cases move toward trial or settlement, and as new cases file based on regulatory enforcement and emerging precedent. For anyone considering whether they might have claims against tech companies, the message is clear: the legal environment has fundamentally shifted toward holding digital companies accountable, and class actions are the primary mechanism through which that accountability is being enforced.