Tesla Autopilot. Tesla Full Self-Driving. GM Super Cruise. Ford BlueCruise. Mercedes Drive Pilot. Waymo robotaxis. Cruise robotaxis. The technology is on public roads, the crashes have started, and the question of who is responsible when a partly- or fully-automated car kills or maims someone is being worked out in real time, case by case. This post is about how a plaintiff team approaches one of those cases.
The crash report says the driver was on Autopilot. Or the vehicle was a Waymo robotaxi with no human at the wheel. Or the car was on GM Super Cruise on a highway segment the system was supposed to handle and instead drifted into a stopped emergency vehicle. The body in the hospital bed is real. The question of who is on the hook is genuinely unsettled in American law, and the answer changes depending on what level of automation was engaged, what the manufacturer told the public the system could do, and what the data inside the vehicle shows about the seconds before impact.
This is a primer on how a plaintiff team approaches an automated-driving crash case.
The Society of Automotive Engineers (SAE) Levels 0–5 are the framework everyone in the field uses to describe what a vehicle's driving system actually does. The federal government uses them. The manufacturers cite them in their disclaimers. Juries are introduced to them at trial. In plain English:
The single most important fact a plaintiff team has to establish, early, is the level of the system involved in the crash and whether it was actually engaged at the moment of impact.
Tesla's marketing language for its Level 2 systems — "Autopilot" and "Full Self-Driving" — has been the subject of more product-liability scrutiny than any other automated-driving consumer feature. NHTSA's Office of Defects Investigation has opened multiple investigations into Autopilot performance, including a series of crashes involving stationary emergency vehicles. The agency's 2023 recall covering more than 2 million Tesla vehicles required the company to update its driver-monitoring system, in part because the public-facing system name had outpaced what the technology could actually do.
The legal theory the plaintiff bar has developed against Tesla has three parts. First, the system was marketed in a way that foreseeably caused drivers to over-trust it. Second, the in-vehicle driver-monitoring was inadequate to keep distracted or inattentive drivers from misusing the system. Third, the system has documented performance failures — phantom braking, failure to recognize stopped vehicles in the travel lane, failure to recognize cross-traffic in some scenarios — that were known to the company and not adequately disclosed or fixed. A 2023 California state court verdict and several federal cases have tested these theories with varying outcomes.
None of this means the human driver is off the hook. Tesla's terms of use and the on-screen warnings explicitly tell the driver to monitor at all times. A typical case names the driver and the manufacturer in the alternative, and the trier of fact apportions responsibility.
A driverless Waymo or a driverless Cruise vehicle (during the period before Cruise's California suspension) presents a different problem. There is no human driver. The only entity that controlled the vehicle is the automated driving system, owned and operated by the company. The case proceeds as a traditional negligence claim against the operator, paired with a product liability claim against the manufacturer (often the same corporate family). The defenses are no longer "the driver wasn't paying attention." The defenses become "the system performed reasonably under the circumstances" or "the third party caused the crash."
Robotaxi cases are evidence-rich and evidence-controlled by the defendant. Sensor logs, internal incident reports, prior near-miss data for the same intersection or scenario, and the operator's post-incident investigation are all subject to civil discovery. The cases that get the deepest into the company's data are the ones that ultimately move the needle.
Modern automated and semi-automated vehicles record a lot. The categories that matter to the case:
The evidence is on a server controlled by the manufacturer. A preservation letter goes out within days, and a forensic protocol is set up before the data is downloaded. The first 24 hours after the crash matter more in these cases than in any other vehicle case — see the first 24 hours.
In 2021 the National Highway Traffic Safety Administration issued a Standing General Order requiring manufacturers and operators of Level 2 driver-assistance systems and Level 3–5 automated driving systems to report crashes to the agency. The reports include vehicle identification, the system involved, basic crash circumstances, injury severity, and follow-up data. The public summaries are searchable and constitute one of the most useful pieces of public evidence available in any automated-driving case.
Plaintiff teams routinely cross-reference the Standing General Order data with their own incident, looking for the same system, the same software version, and the same failure mode in other crashes. Pattern evidence of repeated failures across crashes is some of the most persuasive material a jury sees.
An automated-driving crash case typically pursues some combination of:
The right combination depends on the facts, the jurisdiction, and which defendant has the resources to make the case meaningful. Sorting that out is the early-case work.
If you or someone you love was hit by a vehicle that was being driven by a partly- or fully-automated system, three things matter. First, preserve the evidence inside the vehicle that hit you — a litigation hold letter to the manufacturer and the operator goes out fast. Second, do not let any insurance carrier settle this case as a routine motor-vehicle claim — the product liability exposure changes the value picture significantly. Third, get the case in front of an attorney who has actually litigated against the data discovery these companies will throw at the case. The technology is new. The injuries are the same as in any catastrophic crash. The path to accountability is genuinely different.
No. Tesla Autopilot and Full Self-Driving (FSD) are SAE Level 2 driver-assistance systems. The human driver is legally and operationally responsible for the vehicle at all times and is required to monitor the road and the system. True self-driving — where no human driver is required to be in control — corresponds to SAE Level 4 and is currently deployed only by companies like Waymo in limited service areas as driverless robotaxis.
Tesla's position has been that the driver is responsible because Autopilot is a Level 2 system requiring driver supervision. Plaintiffs argue that Tesla designed and marketed the system in a way that foreseeably caused drivers to over-rely on it, that the system has known performance failures in specific scenarios, and that Tesla failed to adequately warn or constrain the system's operation. Multiple federal court cases and one significant California state verdict have tested both theories. The answer in any given case depends on the facts.
In 2021 the National Highway Traffic Safety Administration issued a Standing General Order requiring manufacturers and operators of Level 2 driver-assistance systems and Level 3–5 automated driving systems to report crashes to NHTSA within specified time windows. The reports include the vehicle, the system involved, the crash circumstances, and post-crash data. The Standing General Order is a major source of public data on automated-driving crashes and is reviewed in litigation.
Yes. A driverless robotaxi has no human driver to blame; the only party that can have caused the crash through driving decisions is the automated driving system itself, owned and operated by the company. Robotaxi cases proceed on traditional negligence and product liability theories against the operator and the manufacturer. The case turns heavily on sensor data, log files, and the company's own internal incident records — all subject to civil discovery.
The full case-type overview for serious motor vehicle injury cases.
The "black box" evidence inside modern vehicles.
What to preserve immediately after a crash.
The rideshare insurance framework — a useful comparison for robotaxi cases.
TBI is one of the most common injuries in highway-speed AV crashes.
The full case-type overview on TBI litigation.
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