Lawyer Uses AI to Win Landmark Addiction Lawsuit Against Meta and YouTube

On March 25, 2026, a Los Angeles jury issued a historic verdict: it ordered Meta and YouTube to pay $6 million to a minor who developed severe depression and anxiety due to addictive use of Instagram and YouTube. The case, known as KGM, is the first of its kind in the United States and sets a precedent for more than 2,000 similar pending lawsuits. The plaintiff, identified only as Kaley, started using YouTube at age 6 and Instagram at 11, and the jury assigned 70% liability to Meta and 30% to YouTube, with $3 million in compensatory damages and $3 million in punitive damages.

Lanier's Strategy: AI as Legal Infrastructure

Mark Lanier, famous for winning cases against pharmaceutical and oil giants, revealed in an interview with The Next Web that artificial intelligence was central to his preparation. According to his statement, his team used AI tools to:

• Analyze millions of pages of internal Meta documentation produced during discovery.
• Prepare counterarguments to defense theories.
• Identify the most effective lines of questioning for key witnesses.
• Synthesize relevant case law in real time during the trial.

Lanier described AI as "having ten extra workers" and announced that his next trial "will make what we did in the Meta case look like the Stone Age of Fred Flintstone." His team now has a dedicated AI unit that sends a three-page memo every Friday with relevant developments. This approach is not new in legal practice: since 2023, firms like Allen & Overy have implemented AI assistants for contract review, but Lanier took it to a strategic level, using AI to model defense theories and anticipate moves. According to data from the American Bar Association, the use of AI in litigation grew 40% between 2024 and 2025, but few cases have integrated it so deeply into trial preparation.

Technological Irony: Meta Defeated by Its Own Creation

The case has a deep irony: Lanier used the same technology that Meta is deploying massively — with an estimated investment between $125 billion and $145 billion in 2026 — to defeat the company in court. "Meta lost the case with the technology it is building," notes The Next Web. Meta has invested heavily in AI for its recommendation algorithms, the same ones that plaintiffs claim foster addiction. In fact, internal Meta documents cited in the trial showed that the company knew since 2021 that its Instagram algorithm increased screen time in teenagers but prioritized engagement over mental health. This case recalls the lawsuits against tobacco companies in the 1990s, where internal documents revealed knowledge of harm. However, here the technology used to prove the harm was the same AI that caused it. Legal experts compare this moment to the asbestos industry case, where scientific evidence was key, but here the evidence was processed by AI.

Implications for the Future

This verdict opens the door to a wave of litigation against digital platforms for addictive design. The combination of AI in legal practice and growing awareness of mental health could transform tech companies' liability. For lawyers, the case demonstrates that AI is not just an efficiency tool but a multiplier of strategic capabilities. For companies, it is a warning: the same algorithm that powers their products can be used to hold them accountable. Moreover, the KGM case joins more than 2,000 similar lawsuits in U.S. federal courts, many of which could benefit from this precedent. An analysis by consulting firm Gartner estimates that tech companies could face legal costs of up to $50 billion over the next decade if lawsuits succeed. However, the impact is not only financial: it could lead to changes in platform design, such as removing infinite feeds or introducing stricter parental controls. In the European Union, the Digital Services Act already requires systemic risk assessments, and this verdict could accelerate similar regulations in other countries.

"AI didn't replace the lawyer, but amplified his ability to find the needle in the haystack of millions of documents," Lanier explained.

The case also raises ethical questions: should AI tools in courts be regulated? To what extent can automation bias judicial outcomes? For now, the precedent is set: AI is a double-edged sword that can be used both to defend and attack big tech. Some critics point out that reliance on AI could create an asymmetry between firms with resources to invest in technology and those without, potentially affecting access to justice. Nevertheless, the KGM case shows that, in skilled hands, AI can level the playing field against corporations with multi-million-dollar legal budgets. The future of tech litigation, it seems, will be written in code.