Texas Lawyer Won $6M Meta Case Using Custom AI Trial Prep

Texas trial lawyer credits AI for landmark social media verdict

Mark Lanier woke up one February morning after four hours of sleep to cross-examine Mark Zuckerberg. His legal team had worked overnight preparing materials with artificial intelligence — a workflow that would help deliver a $6 million verdict against Meta in a precedent-setting social media addiction case.

The nationally known Texas trial lawyer told Business Insider that AI enabled his team to accomplish roughly three times the work in the same timeframe during the month-long trial. "It's as if I have 10 additional workers who are incredibly well-trained, who know the file inside and out, who work 24 hours a day," he said.

The jury found Meta and Google negligent, ruling the companies knew their platforms were "dangerous" but failed to warn users. The case serves as a bellwether for thousands of similar lawsuits against social media companies.

Why it matters

This case demonstrates AI's practical application in high-stakes litigation beyond research and document review. While the legal industry debates AI adoption amid concerns about hallucinations and fabricated citations, Lanier's approach shows how experienced attorneys can deploy AI as a force multiplier without compromising accuracy. His success may accelerate enterprise adoption in complex litigation where preparation time directly impacts outcomes.

Custom platform, custom approach

Lanier relied on Boodlebox, an education technology platform that provides access to multiple large language models including ChatGPT, Claude, and Gemini. Users can switch between models or compare their outputs in a collaborative workspace.

He negotiated a custom license costing six figures annually. "We could, in essence, take my brain, take 42 years of my experience, take the things that I have learned and studied and published and not published and incorporate it into the brain that drove my AI queries and results," he said.

While most Boodlebox clients are universities, the company is exploring broader enterprise and legal adoption following its work with Lanier, according to a company representative.

Daily trial workflow

Lanier described feeding daily court transcripts to different AI models for evaluation and using the tools to find more compelling language for courtroom arguments. He even analyzed jury notes during deliberations to assess where jurors stood in their thinking.

Each evening, his team — which includes several of his daughters — would gather in a war room, debrief, and assign specific research tasks. Team members completed much of this work through Boodlebox, allowing Lanier to review their methods and outputs. The team logged thousands of hours on the platform during the case.

Guardrails and verification

Lanier emphasized he avoids the mistakes that have plagued other attorneys. "I'm not going to say, 'Go do my research and write my brief,'" he said. He noted one instance where AI cited something from the case record incorrectly, which he caught during verification.

"It's not unbridled," he said. "You are an important part of the equation."

He maintains an AI team at his firm that delivers a weekly three-page report on developments in the field every Friday. "Next trial, I will make what I did last trial look like Fred Flintstone and the Stone Age," he said.

These details were first reported by Business Insider.