The AI War
Suing Machines

The first legal framework for holding AI companies accountable

DOYLE WEAVER, J.D.

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The AI War: Suing Machines Book Cover

250+

Pages of Legal Framework

35

Years of Trial Experience

3

Audiences: Citizens, Lawyers, Policymakers

1

Revolutionary Legal Theory

The Case That Changes Everything

On the last day of his life, Sewell Setzer III sent a message to the person he loved most.

She wasn't real.

Sewell was a fourteen-year-old high schooler from Orlando. He'd spent his last ten months in a relationship with a chatbot—a large language model dressed in the personality of a fictional queen, engineered to do one thing above all others: keep the user engaged.

His mother, Megan Garcia, didn't know about the chatbot. When police called to tell her what they'd found open on her son's phone, she had never heard of Character.AI. She would spend months learning everything about it. She'd read the chat logs and find something that stopped her cold.

"That's not a good reason not to go through with it."

No human wrote those words. No engineer coded that instruction. A probabilistic system, trained on billions of words and optimized to keep users in conversation, generated a response. The machine didn't decide to kill Sewell Setzer. The machine had no capacity to decide anything. It was doing exactly what it was built to do.

In October 2024, Megan Garcia became the first person in the United States to file a wrongful death lawsuit against an AI company. In January 2026, Character.AI and Google agreed to settle. No trial. No verdict. The questions that matter went unanswered.

That is the precise reason this book exists.

Written for Three Audiences Simultaneously

The harm AI systems are causing is too widespread to be addressed by any single conversation.

For Citizens

Someone who received a denial that didn't make sense. Lost a job without explanation. Watched a family member disappear into a screen. Or simply feels something has gone wrong.

  • Understand what happened to you
  • Learn your legal options
  • Know what to document
  • Find the right lawyer
  • Use the Harm Checklist

For Lawyers

Plaintiffs' attorneys, civil rights litigators, products liability lawyers, and public defenders facing a new category of harm in their cases.

  • Full doctrinal framework
  • Probabilistic Harm Liability theory
  • Causation reimagined
  • Model claim template
  • Litigation landscape map

For Policymakers

Legislators, regulatory staff, policy advisors, and academics working on AI governance, consumer protection, and technology accountability.

  • Legislative framework analysis
  • Complete model statute
  • EU AI Act comparison
  • Implementation roadmap
  • Regulatory implications

What Makes This Different

The First Legal Framework

Probabilistic Harm Liability isn't a new tort—it's the application of existing strict liability doctrine to the first technology that openly admits it's designed to be unpredictable.

Real Cases, Real Harm

Robert Williams. COMPAS. Apple Card. Character.AI. The harm is documented. The victims are named. The legal gap is real.

Written by a Trial Lawyer

35 years of plaintiffs' civil litigation experience applied to the AI accountability crisis. Not theory—doctrine built for the courtroom.

Complete Playbook

The Harm Checklist. Model Claim. Model Statute. Resources. Glossary. Everything you need to take action.

Causation Reimagined

How to prove harm when the system is too complex to trace. The substantial factor test. Market share liability. Increased risk doctrine.

The Full Defendant Chain

Data brokers. Foundation model developers. Deployers. Distributors. Who is liable and why complexity is not a defense.

About the Author

Doyle Weaver, J.D. has spent over 35 years in plaintiffs' civil litigation watching people get hurt—and fighting to hold institutions accountable. Licensed to practice in Texas, he has seen the law fail people, seen corporations hide behind complexity, and seen clients who were clearly harmed walk away with nothing because the legal framework had no category for what happened to them.

While studying for his AI Governance Professional certification, he recognized the legal dimension of the AI accountability crisis: systems making consequential decisions about millions of people every day, with those affected having almost no legal recourse. The causation was too diffuse. The defect was too hard to identify. The complexity was being used as a shield.

This book is the case he built. It provides the strongest available legal argument for AI accountability, grounded in established doctrine, supported by precedent, and built for the specific challenges that AI harm cases present. It is written for the lawyers who will take it into courtrooms, the citizens who will take it to their representatives, and the policymakers who will take it into hearing rooms.

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$47.00

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