
Injured by a Driverless Car? We Fight For Survivors of AI-Driven Accidents.
As autonomous vehicles become more common on Austin’s roads, accidents involving them present a new and complex legal frontier. When a driverless car causes an injury, who is at fault—the owner, the manufacturer, or the software developer?
At Lee, Gober & Reyna, we are at the forefront of this evolving law. Let us navigate the complexities and fight for your rightful compensation. Contact us today for a free, no-obligation case evaluation.
LGR: Fighting for Justice in Austin Autonomous Car Accidents
Accidents involving autonomous or self-driving vehicles present unique legal questions. Proving fault requires a deep understanding of both product liability law and complex technology.
At Lee, Gober & Reyna, we have developed a forward-thinking legal strategy specifically designed to tackle these cutting-edge cases and protect the rights of injured Austin residents.
Pioneering a ‘Digital Crash Reconstruction’ Process
What makes our approach unique is our ‘Digital Crash Reconstruction’ process. Unlike a standard car wreck, the most critical evidence in an AV case is digital. By teaming up with leading software and engineering experts, we reconstruct the digital events that led to the crash to pinpoint the technological failure.
Our team immediately works to preserve and analyze complex data streams, including the vehicle’s sensor and telemetry logs, the AI’s decision-making parameters, software update histories, and the manufacturer’s internal data.
Identifying Complex Liability & Confronting Tech Giants
The key challenge in an autonomous vehicle accident is determining who is liable. Our meticulous investigation into the digital evidence allows us to identify the responsible corporate entity.
We have the resources and experience to confidently take on major tech and automotive companies, holding them accountable for putting defective or unsafe technology on Austin’s roads and fighting for the maximum compensation our clients deserve.
Our Legal Strategy in Austin Autonomous Car Accident Cases
Successfully litigating an autonomous vehicle accident requires a sophisticated legal strategy. At Lee, Gober & Reyna, we have developed a multi-faceted approach to deconstruct these complex cases and hold powerful tech and auto manufacturers accountable.
Immediate Investigation & Digital Evidence Preservation
Our process begins instantly. Swift action is necessary, as this proprietary data is the key to proving that a defect or malfunction caused the crash.
We immediately file legal injunctions to preserve all critical digital evidence from the vehicle and its manufacturer. This includes sensor data, black box logs, software update histories, AI decision-making algorithms, and internal company testing records.
Expert Technical, Medical & Financial Analysis
We assemble an elite team of experts, including software engineers, AI specialists, and accident reconstructionists, to analyze the complex technical data and prove liability.
Concurrently, we work with top medical and economic professionals to accurately document the full, long-term cost of your injuries, including future medical care, lost earning capacity, and chronic pain.
Aggressive Negotiation with Corporate Defendants
Armed with irrefutable technical evidence and a comprehensive damage model, we engage in aggressive negotiations with the large legal teams representing automotive and technology giants.
We present a meticulously documented claim that demonstrates the clear liability of their product, forcing them to confront the financial risk of a public trial.
Preparing for Trial
From day one, we prepare your case for the courtroom. This trial-ready posture is our greatest leverage against corporations that might otherwise attempt to delay or deny a valid claim. Our willingness to litigate signals that we will not accept an inadequate settlement offer.
Financial Recovery
Upon securing a successful verdict or settlement, our final step is to ensure your financial recovery is swift and seamless. We ensure your funds are disbursed to you promptly so you can move forward with the resources you need to rebuild your life.
Compensation in Austin Autonomous Car Accident Claims
When an autonomous vehicle causes an accident, victims are entitled to seek full compensation for their injuries and losses. Unlike typical car wrecks, these claims are often complex product liability cases filed against multi-billion dollar technology and automotive companies.
At Lee, Gober & Reyna, our legal team meticulously documents every consequence of the accident to build a comprehensive claim that accounts for the total impact on your life.
Economic Losses
Economic losses cover all the verifiable financial costs resulting from the accident. These are the foundation of your claim and are proven with concrete documentation. Our goal is to recover every dollar you have lost, including compensation for:
- All past and future medical expenses, from emergency care to long-term rehabilitation
- Lost wages and income from time away from work
- Diminished future earning capacity if your injuries prevent you from returning to your former career
- Property damage to your vehicle and other belongings
Non-Economic Losses
Non-economic losses provide compensation for the intangible human suffering caused by the crash. We fight to secure a substantial recovery for:
- Physical pain and suffering
- Emotional distress, anxiety, and trauma (PTSD)
- Permanent scarring, disfigurement, or disability
- Loss of enjoyment of life and damage to personal relationships (loss of consortium)
Punitive Damages
In cases where a corporation’s behavior was grossly negligent, punitive damages may be available. This is particularly relevant in autonomous vehicle cases. Punitive damages are intended to punish the corporate defendant and deter it from prioritizing profits over public safety in the future.
For example, if a manufacturer knew its AI software had dangerous defects or its sensors failed in certain conditions but released the product to the public anyway, its conduct may justify these damages.
Common Causes of Autonomous Car Accidents in Austin, TX
While autonomous vehicles (AVs) are designed to eliminate human error, they introduce a new set of complex risks, particularly in dynamic urban environments like Austin.
Accidents are no longer just about a driver’s mistake but can stem from deep within the vehicle’s technology. Understanding these causes is the first step in determining liability, which often points toward the manufacturer or software developer.
Common causes of autonomous car accidents in Austin include:
- Software and AI Failure: The vehicle’s artificial intelligence may fail to correctly interpret a complex traffic situation, misidentify a road hazard, or react improperly to the unpredictable actions of human drivers, cyclists, or pedestrians.
- Sensor Limitations: The car’s “eyes”—its cameras, LiDAR, and radar—can be compromised by heavy rain, dense fog, sun glare, or physical obstructions, causing them to fail to detect an obstacle in their path.
- Failure to Handle “Edge Cases”: Austin’s numerous construction zones, unconventional intersections, and bustling event traffic can create “edge cases” (rare scenarios the AI was not adequately trained to handle), leading to a system failure.
- Inadequate Human Oversight: Many current AVs require a human driver to be ready to take control. Accidents can happen in the critical moments when the system disengages and the inattentive human fails to react in time.
Autonomous Car Accident FAQ
What kind of evidence is used to prove fault in autonomous car accidents?
Can I sue the car manufacturer, like Tesla?
What if I was hit by a driverless delivery vehicle?
