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Business Law I: all pages

Tort Law

BUL 2241Activity 11

Why it Matters

Tort law sets the terms on which one party pays for harm it causes another, whether or not anyone broke a contract or committed a crime. For a business, it shapes how you train employees, treat customers, design products, and buy insurance, because one lapse can bring a lawsuit and a headline. Every tort breaks down into elements, and a claim fails if the plaintiff cannot prove even one. In this activity you find real Florida cases, write fact patterns of your own, and test each one element by element.

Current Context

On February 19, 2026, a federal judge in Miami refused to set aside a $243 million verdict against Tesla (opens in a new tab) over a fatal 2019 Autopilot crash in Key Largo. The jury had found Tesla liable for a defective design and a failure to warn, put two-thirds of the blame on the driver (opens in a new tab), and added $200 million in punitive damages. A defense-side analysis (opens in a new tab) explains why the driver’s share did not save Tesla: the plaintiffs argued that Autopilot could be switched on for roads it was never designed to handle. The judge’s order (opens in a new tab) rejected Tesla’s arguments that it owed no duty to warn, that no defect caused the crash, and that Florida law capped the punitive award. Tesla has taken those arguments to the Eleventh Circuit, where the elements you will test are now being argued.

Key Concepts

Intentional Torts

An intentional tort is a civil wrong by a defendant who meant to cause the result, or knew the result was substantially certain to follow. Battery, false imprisonment, fraud, and defamation are examples. In business they grow out of an overzealous security guard, a deceptive sales pitch, or an aggressive debt collector.

Negligence

Negligence is conduct that falls below a yardstick: what a reasonable person would have done in the same situation. The defendant need not have meant any harm, but the plaintiff must prove four elements: a duty of care, a breach of that duty, causation, and actual damages. Slip-and-fall claims and negligent hiring claims are the versions a business sees most.

Strict Liability

Strict liability holds a defendant responsible without proof of intent or carelessness. It covers defective products and abnormally dangerous activities such as blasting, where the law places the cost of an injury on whoever created the risk. The plaintiff still has to prove the defect or the dangerous activity and that it caused the harm, but never has to prove fault.

Vicarious Liability

Under the doctrine of respondeat superior, an employer answers for torts its employees commit within the scope of employment, even when the employer did nothing wrong itself. If a delivery driver causes a crash on the route, the injured person can sue the company as well as the driver. That exposure is why businesses invest in training and insurance.

Elements of a Tort

The elements of a tort are the specific components a plaintiff must prove to win that claim, and each tort has its own list. Miss one and the claim collapses, however strong the rest. Defense lawyers aim at the weakest element, which is why element-by-element analysis is the core of every tort case.

Compensatory and Punitive Damages

Compensatory damages make the plaintiff whole for real losses: medical bills, lost wages, and pain and suffering. Punitive damages punish a defendant for malicious or reckless conduct and deter others from repeating it, and they can reach amounts that insurance does not cover. Florida statutes set conditions on punitive awards and cap most of them.

Resources

What to Do

The skill here is the core of tort practice: holding a set of facts against a claim’s elements, with a real decision as the measure. You survey tort claims with an AI, find a Florida case for four of them, write a business fact pattern for each, and test each fact pattern against its case. The fact patterns, the citations, and your analysis go up together in one post.

Part 1: Explore and Select Tort Claims

Use the Tort Explorer to survey the claims courts recognize. On the intentional side, you might look at assault, battery, false imprisonment, fraud, defamation, or tortious interference with business. Negligence takes in professional malpractice, negligent hiring, premises liability, and wrongful death, while strict liability reaches product liability and abnormally dangerous activities. When you have surveyed the options, choose four distinct tort claims that interest you, and carry them through the rest of the activity.

Part 2: Research Florida Caselaw

Find one Florida state or federal case for each of your four torts, using Westlaw through the college library, Google Scholar, or a similar database. Read each opinion carefully and confirm that it actually turns on the tort in question. Then paste the full text into the Case Evaluator and ask whether the court’s decision hinged on the tort or on a procedural question. If the AI tells you the tort came up only in passing, find a different case.

Part 3: Reverse-Engineer Fact Patterns

For each case, use the Fact Pattern Generator to write a fictional but realistic business scenario that raises the same tort issue the court decided. Your fact pattern must involve the core elements of the tort without copying details from the actual case: new characters, new facts, new context. By the end of this Part you have four original business fact patterns, one for each case, ready for analysis.

Part 4: Analyze and Post Your Deliverables

Use the Precedent Analyst to test each fact pattern against its case. Then explain how the real Florida decision could resolve your fictional dispute: identify the legal principles that apply, compare the key facts, and show how the court’s reasoning carries over. Post your results as a single new thread containing all four fact patterns, the citations for the four cases, and your analysis of each.

Include one AI chat link with a 1–2 sentence explanation of what the conversation shows and why you chose to share it.

Suggested AI Prompts

Use these prompts as a starting point, then adjust them to fit your goal. Strong prompting develops through trial, revision, and testing. It’s a foundational skill that grows into more advanced AI work such as context engineering and agent-based workflows.

Tort Explorer

Act as my college-level torts tutor. Start with a high-level overview of tort law: its history and purpose, how it differs from contract law and criminal law, and the general principles behind tort claims. Then note that my assignment already gives me a list of common torts to choose from and ask me to pick one to discuss. When I name a tort, summarize it, list its elements, and give a short, realistic example fact pattern. If you quote or paraphrase the Restatement of Torts, name the section and tell me to confirm the wording, and do not invent section numbers. End by asking whether I have questions or want to explore another tort.

Layered explanation with a verification flag. You get the overview first and choose where to go deep, and the Restatement instruction is the responsible-use move, because models cite the Restatement confidently and often wrongly.

Case Evaluator

Act as my torts study assistant. I will paste the full text of a Florida case that I believe illustrates a specific tort. Read it carefully and give me an honest assessment: summarize the key facts, explain the court’s reasoning, and identify the legal issue the court actually decided. Then tell me whether the case meaningfully illustrates the tort I selected. If the tort is central to the decision, explain how the case supports my understanding. If the tort is only mentioned in passing, or the case turns on another doctrine such as jurisdiction, procedure, or contract law, say so candidly and recommend that I find a different case. Wait for me to provide the case before you begin.

Source grounding with permission to disappoint. The full opinion anchors the model to the text, and the invitation to say no counters its habit of confirming that whatever you found is exactly what you needed.

Fact Pattern Generator

Act as my torts writing assistant. I have pasted a Florida case that centers on a specific tort. After reading it, help me write an original, fictional fact pattern that raises the same tort issue in a realistic business setting. The scenario should mirror the legal reasoning and central issue of the case closely enough that the case could be used to analyze it, but with entirely new characters, facts, and context, reusing nothing from the original. When the fact pattern is done, check that it would support analysis under the case and ask whether I want to build another.

Constrained generation. The prompt pins the model to one case’s legal issue and forbids reusing its facts, so the model supplies the invention while you supply the legal target it has to hit.

Precedent Analyst

Act as my torts analysis coach. I have written a fictional fact pattern that raises a tort issue and I have read a Florida case involving the same tort. I will give you both. Use the case to help me analyze the fact pattern: identify the relevant legal principles, compare the facts of the case and the scenario, and explain how a court would reason through the new situation using the logic of the original decision. Be specific about which elements of the tort are met and where there is real uncertainty. When you finish, ask whether I want to work through another scenario.

Analogical reasoning made explicit: a fact-by-fact comparison and an element-by-element verdict make the model reason the way a lawyer uses precedent. You get a structure you can check, not a conclusion you have to trust.

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