AI vs AI: Lawyer outplayed Meta and Google by creating digital juror twins

A major U.S. court case, one of the most talked-about trials in recent months, has concluded and could become a turning point for the entire social media industry. Prominent American attorney Mark Lanier used artificial intelligence to prepare for hearings and won against Meta and Google.

The case centered on allegations that the companies’ products contribute to addiction among underage users. The jury found both companies liable and ordered them to pay the plaintiff $6 million in damages.

Digital twins of jurors

The most unusual aspect of the trial was Mark Lanier’s strategy. Instead of relying solely on experience and instinct, the lawyer used modern AI models to simulate jurors’ reactions.

Using information from juror questionnaires, he created digital models of each juror. After each day of hearings, new information was uploaded into the system: witness testimony, arguments from both sides and other trial materials.

The AI analyzed which arguments were most persuasive and which raised doubts. This allowed Lanier’s team to adjust its strategy almost in real time and anticipate the jury’s possible reaction in advance.

At the same time, it is important to understand that artificial intelligence did not “predict” the outcome of the trial, but rather modeled likely reactions to different arguments, helping the lawyers prepare better for the next hearings.

Internal company documents became key evidence

Another crucial part of the case was internal Meta and Google documents presented in court.

Among the materials were internal communications and presentations in which employees compared certain features of their services to slot machines and discussed ways to hold users’ attention for as long as possible.

According to the plaintiff’s side, these documents show that the companies were aware of how their algorithms affect user behavior, including that of children and teenagers. These materials became some of the key pieces of evidence in the proceedings.

Why this ruling matters

Experts note that the significance of this case goes far beyond the $6 million compensation award.

In recent years, hundreds of lawsuits have been filed in the United States against the largest technology companies. Plaintiffs argue that recommendation algorithms, endless scrolling, notification systems and other features were deliberately designed to maximize user engagement, which can negatively affect the mental health of children and teenagers.

If such rulings begin to be handed down regularly by courts, tech giants could face multibillion-dollar payouts and be forced to rethink how their services work.

Artificial intelligence is changing the work of lawyers

The use of AI in legal practice has long since gone beyond searching case law or drafting documents.

Mark Lanier’s case shows that neural networks are now also being used to model the behavior of participants in proceedings, analyze the effectiveness of arguments and adjust trial strategy as a case unfolds.

At the same time, such methods raise questions among lawyers and ethics specialists. Some see them as a logical evolution of modern technology, while others believe that the use of digital juror models will require separate legal regulation.

What comes next

According to many American lawyers, this trial could become an important precedent in the wave of lawsuits against the largest IT companies. What drew the professional community’s attention was not only the court decision, but also the new preparation strategy based on artificial intelligence.

If such a practice becomes widespread, AI could become as familiar a tool for lawyers as case-law databases or document analysis systems. This could significantly change the approach to handling complex court cases in the coming years.