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Tesla Austin Robotaxis More Accident-Prone Than Humans — Austin, Travis County, Texas Attorney911 Brings 25+ Years of Multi-Million Dollar Auto & Tech Liability Litigation, Former Insurance Defense Attorney Insider Advantage, Federal Court Admitted, Black Box & Autonomous Vehicle Data Extraction Experts, Catastrophic Injury & Wrongful Death Specialists, $50+ Million Recovered for Texas Families — Free 24/7 Consultation, No Fee Unless We Win, 1-888-ATTY-911, Hablamos Español

February 18, 2026 30 min read
Tesla Austin Robotaxis More Accident-Prone Than Humans — Austin, Travis County, Texas Attorney911 Brings 25+ Years of Multi-Million Dollar Auto & Tech Liability Litigation, Former Insurance Defense Attorney Insider Advantage, Federal Court Admitted, Black Box & Autonomous Vehicle Data Extraction Experts, Catastrophic Injury & Wrongful Death Specialists, $50+ Million Recovered for Texas Families — Free 24/7 Consultation, No Fee Unless We Win, 1-888-ATTY-911, Hablamos Español - Attorney911

Tesla Robotaxis in Austin: 8x More Accident-Prone Than Human Drivers — What This Means for Texas Families

Every time you drive on Austin’s highways — I-35, MoPac, or the 183 tollway — you’re sharing the road with something new: autonomous robotaxis. Since June 2025, Tesla has been operating approximately 45 of these self-driving vehicles in Austin, Travis County, Texas. But the data is alarming: these robotaxis are involved in one crash every 57,000 mileseight times more often than human drivers, who average one crash every 500,000 miles.

At Attorney911, we’ve spent 25+ years holding negligent trucking companies and commercial carriers accountable for the devastation they cause on Texas roads. Now, we’re seeing a new threat emerge — one that combines the size and weight of commercial vehicles with the unpredictability of experimental technology. If you or a loved one has been injured in an accident involving a Tesla robotaxi in Austin, Travis County, Texas, you need to understand your rights — and the unique legal challenges these cases present.

The Alarming Data: Tesla Robotaxis Crash at 8x the Rate of Human Drivers

The numbers don’t lie. According to data compiled by the National Highway Traffic Safety Administration’s (NHTSA) Standing General Order incident report database for automated driving systems:

  • 14 crashes involving Tesla robotaxis in Austin since June 2025
  • 5 accidents in just December 2025 and January 2026 alone
  • 1 crash every 57,000 miles — compared to 1 crash every 500,000 miles for human drivers
  • 800,000 miles driven by Tesla robotaxis in Austin by mid-January 2026

To put this in perspective: if you drive 12,000 miles a year in Austin, you’d statistically be involved in one crash every 42 years as a human driver. In a Tesla robotaxi? You’d crash every 4.75 years — and that’s just the average. Some of these crashes have already resulted in injuries.

The Crashes: What’s Really Happening on Austin Roads

The NHTSA database reveals the types of accidents these robotaxis are involved in:

Crash Type Speed Details
Collision with fixed object 17 mph Robotaxi strikes stationary object (pole, barrier, etc.)
Collision with heavy truck 4 mph Low-speed impact with commercial vehicle
Backup collisions (2 incidents) Very low speed Robotaxi backs into object or vehicle

One particularly concerning incident from July 2025 was initially reported as property damage only — but was later upgraded to include an injury. This pattern of underreporting is troubling, especially when combined with Tesla’s practice of redacting collision details as “confidential business information,” unlike competitors who provide more transparency.

“This isn’t just about fender benders. When an 80,000-pound truck causes an accident, the results are catastrophic. When a robotaxi with experimental technology crashes at eight times the rate of human drivers, we have to ask: who’s responsible when the ‘driver’ is a computer?” — Ralph Manginello, Managing Partner, Attorney911

Why Are Tesla Robotaxis Crashing So Often?

The data suggests several potential factors contributing to these high crash rates:

1. The “Autonomy Paradox”: Technology That Isn’t Ready for Real Roads

Tesla’s robotaxis are operating on Austin’s complex roadways — highways with construction zones, unpredictable drivers, sudden weather changes, and unique local driving behaviors. The technology that works in controlled environments often fails in real-world conditions.

Austin-Specific Challenges:
I-35 Construction Zones: Constant lane shifts, reduced speeds, and temporary signage
MoPac Expressway: High-speed merges and sudden stops during rush hour
Downtown Austin: Pedestrians, cyclists, scooters, and confusing intersections
Texas Weather: Sudden rainstorms, flash flooding, and occasional ice
Local Driving Culture: Aggressive lane changes, last-minute exits, and “Texas left turns”

These are precisely the conditions that challenge even experienced human drivers — and robotaxis are failing at eight times the rate.

2. The Black Box Problem: Lack of Transparency in Autonomous Systems

When a human-driven vehicle is involved in an accident, we can examine:
– The driver’s hours of service records
– Cell phone records for distraction
– Maintenance logs for vehicle condition
– Driver qualification files for training and experience

With autonomous vehicles, the “black box” is literally a black box. Tesla is redacting critical information about these crashes as “confidential business information,” making it difficult for accident victims to understand what went wrong — and who’s responsible.

What We Know About Tesla’s Data Practices:
Redacts collision details unlike competitors
Limited transparency on system failures
Upgrades injury reports after initial submission (July 2025 case)
No public access to real-time operational data

This lack of transparency isn’t just frustrating — it’s potentially illegal under federal regulations that require accident reporting and data preservation.

3. The Regulatory Wild West: Autonomous Vehicles and Accountability

Right now, autonomous vehicles operate in a regulatory gray area. While traditional commercial vehicles are subject to strict FMCSA regulations, robotaxis fall into a different category — one with far fewer safety requirements.

Key Regulatory Gaps:
No federal hours-of-service rules for autonomous vehicles (49 CFR Part 395)
No driver qualification standards (49 CFR Part 391)
No systematic vehicle inspection requirements (49 CFR Part 396)
Limited cargo securement rules (49 CFR Part 393)
No clear liability framework for system failures

“For 25 years, I’ve used FMCSA regulations to hold trucking companies accountable. When a driver violates hours-of-service rules and causes a crash, that’s negligence per se. When a robotaxi crashes because its AI system failed to recognize a construction zone, who do we hold responsible? The manufacturer? The operator? The software developer? The legal framework hasn’t caught up to the technology.” — Ralph Manginello

4. The Scale Problem: From 45 Robotaxis to Thousands

Tesla currently operates approximately 45 robotaxis in Austin. That’s a small number — but it’s just the beginning. As autonomous vehicle technology scales, so will the risks.

The Scaling Timeline:
2025: 45 robotaxis in Austin
2026: Tesla plans expansion to multiple Texas cities
2027: Potential statewide deployment
2030: Industry projections suggest tens of thousands of autonomous vehicles on Texas roads

If the current crash rate holds, we’re looking at:
45 robotaxis: ~7 crashes per month in Austin
1,000 robotaxis: ~150 crashes per month statewide
10,000 robotaxis: ~1,500 crashes per month

For comparison, Texas averages about 1,000 commercial truck crashes per month — and those crashes already cause catastrophic injuries. Adding thousands of robotaxis with an 8x higher crash rate would be a public safety disaster.

The Human Cost: What Happens When a Robotaxi Crashes

When a traditional vehicle crashes, the injuries are often severe. When a commercial-sized autonomous vehicle crashes at eight times the rate, the potential for catastrophic injuries increases dramatically.

Common Injuries in Autonomous Vehicle Accidents

Injury Type Potential Causes in Robotaxi Crashes
Traumatic Brain Injury (TBI) Sudden stops, unexpected maneuvers, fixed object collisions
Spinal Cord Injuries High-speed impacts, rollovers from system failures
Amputations Severe crashes requiring extraction, crushing injuries
Severe Burns Electrical system fires, battery failures
Internal Organ Damage High-impact collisions with fixed objects or other vehicles
Wrongful Death Catastrophic system failures at highway speeds

“I’ve seen what happens when an 80,000-pound truck crashes. The injuries are life-altering. Now imagine that same force coming from a vehicle that’s supposed to be ‘safer’ because it’s autonomous — but is actually crashing eight times more often. The human cost could be devastating.” — Ralph Manginello

The July 2025 Incident: A Warning Sign

One particular case from July 2025 should concern every Austin resident. Initially reported as property damage only, the incident was later upgraded to include an injury. This pattern of underreporting is dangerous for several reasons:

  1. Delayed Medical Treatment: Victims may not realize they’re injured immediately
  2. Evidence Destruction: Critical data may be lost before investigations begin
  3. Insurance Challenges: Underreported injuries make claims more difficult
  4. Public Safety Risks: Unreported crashes mean unaddressed system failures

Determining liability in autonomous vehicle accidents is far more complex than traditional car crashes. In a typical accident, we might pursue claims against:

  • The driver (for negligence)
  • The trucking company (for negligent hiring, training, or supervision)
  • The vehicle manufacturer (for defects)
  • The cargo owner (for improper loading)
  • The maintenance company (for negligent repairs)

With autonomous vehicles, the liability web becomes even more complex:

Potential Liable Parties in Tesla Robotaxi Accidents

Party Potential Liability
Tesla (Vehicle Manufacturer) Defective autonomous driving system, failure to warn, design defects
Tesla (Fleet Operator) Negligent deployment, inadequate testing, failure to monitor
Software Developers Algorithm failures, inadequate training data, system errors
Sensor Manufacturers Defective cameras, radar, or lidar systems
Mapping Companies Inaccurate or outdated map data
Maintenance Providers Failure to update software, sensor calibration errors
Government Entities Failure to regulate, inadequate road design for AVs
Other Drivers Comparative negligence in multi-vehicle crashes

The “Driver” Problem: Who’s Really in Control?

In traditional vehicle accidents, we can examine:
– The driver’s actions
– The driver’s training and experience
– The driver’s physical condition (fatigue, impairment)
– The driver’s compliance with regulations

With autonomous vehicles, the “driver” is an algorithm. This creates unique legal challenges:

  1. No Human Negligence: Traditional concepts of driver error don’t apply
  2. No Hours of Service: Fatigue regulations (49 CFR Part 395) don’t apply to AI
  3. No Driver Qualification: CDL requirements (49 CFR Part 391) don’t apply
  4. No Clear Accountability: Who do we depose? The software engineer? The CEO?

“In trucking cases, we can prove a driver was fatigued by examining their ELD records. We can show negligent hiring by looking at their qualification file. With autonomous vehicles, we’re dealing with lines of code instead of logbooks. The legal strategies have to evolve — but the principle remains the same: when technology causes harm, someone must be held accountable.” — Ralph Manginello

Product Liability: When the “Product” Is the Driver

One of the most promising legal avenues in autonomous vehicle cases is product liability. When a traditional vehicle crashes due to a defect (brake failure, tire blowout), we can pursue claims against the manufacturer. The same principles apply to autonomous vehicles — but with a critical difference:

The “product” in an autonomous vehicle isn’t just the car — it’s the driving system itself.

This means we can pursue claims for:
Design Defects: Flaws in the autonomous driving algorithm
Manufacturing Defects: Errors in sensor calibration or software installation
Failure to Warn: Inadequate disclosure of system limitations
Breach of Warranty: When the system fails to perform as advertised

Landmark Product Liability Cases That Could Apply:
MacPherson v. Buick Motor Co. (1916): Established manufacturer liability for defective products
Grimshaw v. Ford Motor Co. (1981): $125 million verdict for defective fuel tank design (later settled for $3.5 million)
Liebeck v. McDonald’s (1994): $2.86 million verdict for defective product (hot coffee) — established principles for punitive damages

Negligent Deployment: When Companies Put Unsafe Technology on the Road

Another potential avenue for liability is negligent deployment — the idea that companies are putting autonomous vehicles on the road before they’re ready, prioritizing profit over safety.

Elements of Negligent Deployment:
1. Foreseeable Risk: The company knew or should have known about the risks
2. Inadequate Testing: Insufficient real-world testing before deployment
3. Failure to Monitor: Not tracking performance or addressing known issues
4. Inadequate Training: Not properly training human monitors (if any)
5. Failure to Warn: Not adequately informing passengers or the public

Precedent for Negligent Deployment:
While not directly on point, the BP Texas City Refinery explosion litigation (which our firm was involved in) established that companies can be held liable for knowingly operating dangerous systems. The same principles could apply to autonomous vehicles.

The Austin Context: Why This Matters for Travis County

Austin isn’t just another city in Tesla’s autonomous vehicle experiment — it’s a unique testing ground with specific challenges that make these vehicles particularly dangerous.

Austin’s Unique Challenges for Autonomous Vehicles

Challenge Why It Matters
Rapid Growth Austin is one of the fastest-growing cities in America, with constant construction and changing road patterns
Tech Hub High concentration of tech workers who may be early adopters — and early victims
University Influence UT Austin and other schools bring young, inexperienced drivers who may not understand AV limitations
Music & Festival Culture Events like SXSW, ACL, and Formula 1 bring temporary road closures and unpredictable traffic patterns
Bike & Scooter Culture Austin has one of the highest rates of bike and scooter use in Texas — AVs struggle with these
Flash Flooding Sudden rainstorms create standing water and hydroplaning risks
Construction Zones I-35 and MoPac are constantly under construction, with changing lanes and temporary signage
Aggressive Driving Austin drivers are known for sudden lane changes and last-minute exits

Austin’s High-Risk Corridors

While Tesla hasn’t disclosed specific routes, we can make educated guesses about where these robotaxis are operating based on Austin’s transportation patterns:

  1. Downtown Austin: High pedestrian traffic, confusing intersections, construction
  2. The Drag (Guadalupe Street): UT Austin area with heavy student traffic
  3. I-35 Corridor: High-speed merges, construction zones, sudden stops
  4. MoPac Expressway: Frequent lane changes, toll plaza interactions
  5. Airport Boulevard: Mixed-use corridor with pedestrians, cyclists, and vehicles
  6. Domain Area: High-tech office parks with complex traffic patterns
  7. Rainey Street: Entertainment district with heavy pedestrian traffic

“I’ve handled trucking cases on every major highway in Texas. Austin’s roads present unique challenges even for experienced human drivers. When you add autonomous vehicles with an 8x higher crash rate into that mix, you’re creating a recipe for disaster. The question isn’t if another serious accident will happen — it’s when.” — Ralph Manginello

What Austin Families Need to Know: Your Rights After a Robotaxi Accident

If you or a loved one is involved in an accident with a Tesla robotaxi in Austin, Travis County, Texas, you have rights — but you need to act quickly to protect them.

Immediate Steps After a Robotaxi Accident

  1. Call 911 Immediately
    – Report the accident and request police response
    – Ensure medical attention is provided

  2. Document Everything
    – Take photos of all vehicles involved
    – Photograph the scene, road conditions, and any visible injuries
    – Note the vehicle identification number (VIN) and any visible markings
    – Look for external cameras that may have recorded the incident

  3. Identify the Vehicle
    – Tesla robotaxis should have clear identification
    – Note the vehicle make, model, and any autonomous vehicle indicators
    – Look for company contact information

  4. Gather Witness Information
    – Get names and contact information for all witnesses
    – Ask if anyone recorded video of the incident

  5. Seek Medical Attention
    – Even if you feel fine, get checked out
    – Some injuries (TBI, internal bleeding) may not be immediately apparent
    – Medical records create critical evidence for your case

  6. Do NOT Give Statements
    – Do not give recorded statements to insurance companies
    – Do not sign any documents without legal review
    – Anything you say can be used against you

  7. Contact an Attorney Immediately
    – Critical evidence can disappear quickly
    – Autonomous vehicle data may be overwritten or deleted
    – Legal strategies for these cases are complex and evolving

Unique Evidence in Autonomous Vehicle Cases

In traditional vehicle accidents, we rely on:
– Driver logs
– Maintenance records
– Cell phone records
– Witness statements

In autonomous vehicle cases, we need to pursue different types of evidence:

Evidence Type What It Shows How We Obtain It
Vehicle Data Logs System decisions, sensor inputs, algorithm behavior Subpoena to Tesla, court orders
Software Version Which version of the autonomous system was running Vehicle inspection, maintenance records
Sensor Data What the vehicle “saw” before the crash Forensic analysis of vehicle systems
Mapping Data What map data the vehicle was using Subpoena to mapping providers
Update History When the vehicle last received software updates Maintenance records, Tesla service history
Human Monitor Data If a human was monitoring, what they observed Employment records, deposition testimony
Previous Incidents Pattern of similar crashes or system failures NHTSA database, Tesla internal records
Testing Data How the system performed in pre-deployment testing Court orders, regulatory filings

“In trucking cases, we send spoliation letters to preserve black box data. In autonomous vehicle cases, we’re dealing with terabytes of data from multiple systems. The evidence preservation challenges are exponentially greater — and the stakes are just as high.” — Ralph Manginello

At Attorney911, we’re developing innovative legal strategies to address the unique challenges of autonomous vehicle cases:

  1. Product Liability Claims
    – Defective autonomous driving system
    – Inadequate sensor technology
    – Failure to warn about system limitations

  2. Negligent Deployment Claims
    – Inadequate testing before deployment
    – Failure to monitor system performance
    – Putting profit over safety

  3. Data Preservation Actions
    – Immediate court orders to preserve vehicle data
    – Injunctions against software updates that could overwrite evidence
    – Subpoenas for internal testing and incident data

  4. Regulatory Violations
    – Violations of NHTSA reporting requirements
    – Failure to comply with state autonomous vehicle regulations
    – Misrepresentation of system capabilities

  5. Consumer Protection Claims
    – False advertising about system capabilities
    – Deceptive trade practices
    – Breach of warranty

  6. Comparative Negligence Defenses
    – When other drivers contribute to the crash
    – When passengers interfere with system operation
    – When road conditions exceed system capabilities

The Future of Autonomous Vehicles in Texas: What’s Next?

Tesla’s robotaxi experiment in Austin is just the beginning. The autonomous vehicle industry is moving rapidly, with significant implications for Texas roads.

Industry Projections for Texas

Year Projected AV Deployment Potential Impact
2025 45 robotaxis in Austin Limited impact, but crash data raises concerns
2026 Expansion to Dallas, Houston, San Antonio Statewide crash rate increases
2027 Potential regulatory response Texas may implement AV-specific regulations
2030 Tens of thousands of AVs statewide Significant impact on traffic patterns and safety
2035 AVs could represent 25% of vehicles Fundamental shift in transportation landscape

Potential Regulatory Responses

As the crash data becomes impossible to ignore, we expect to see regulatory action at both the state and federal levels:

  1. State-Level Regulations
    Mandatory Reporting: Requiring detailed crash reporting for AVs
    Performance Standards: Minimum safety requirements for AV systems
    Operational Restrictions: Limiting AVs to certain roads or conditions
    Human Monitor Requirements: Requiring trained operators in AVs
    Insurance Requirements: Higher minimum coverage for AV operators

  2. Federal-Level Regulations
    NHTSA Rulemaking: Federal safety standards for AVs
    FMCSA Oversight: Bringing AVs under commercial vehicle regulations
    Data Transparency Requirements: Mandating public access to AV performance data
    Pre-Deployment Testing Standards: Minimum requirements for real-world testing

  3. Local-Level Responses
    City-Specific AV Zones: Designated areas for AV operation
    Traffic Pattern Adjustments: Modifying roads to accommodate AVs
    Public Education: Informing residents about AV capabilities and limitations

The Role of Litigation in Shaping AV Safety

Historically, litigation has played a crucial role in improving vehicle safety:

  • Ford Pinto Cases (1970s): Led to improved fuel tank safety standards
  • GM Ignition Switch Cases (2014): Resulted in massive recalls and safety improvements
  • Takata Airbag Cases (2010s): Forced industry-wide changes to airbag safety

Autonomous vehicle litigation could have a similar impact:

  1. Forcing Transparency: Court orders could require companies to disclose crash data
  2. Establishing Standards: Jury verdicts could define reasonable safety expectations
  3. Driving Regulation: High-profile cases could push regulators to act
  4. Improving Technology: Financial consequences could incentivize better safety features

“Litigation isn’t just about compensation for victims — it’s about forcing change. When companies know they’ll be held accountable in court, they’re more likely to prioritize safety over profits. That’s how we’ve made progress in trucking safety, and that’s how we’ll make progress in autonomous vehicle safety.” — Ralph Manginello

Case Study: Applying Trucking Accident Principles to Robotaxi Cases

At Attorney911, we’ve spent decades holding trucking companies accountable for negligence. Many of the same principles apply to autonomous vehicle cases — we just need to adapt them to this new technology.

Traditional Trucking Case vs. Autonomous Vehicle Case

Aspect Traditional Trucking Case Autonomous Vehicle Case
Primary Defendant Trucking company Vehicle manufacturer (Tesla)
Driver Liability Driver negligence (fatigue, distraction, etc.) Algorithm failure, sensor error
Regulatory Framework FMCSA regulations (49 CFR Parts 390-399) Limited federal regulations, state patchwork
Key Evidence ELD data, driver logs, maintenance records Vehicle data logs, sensor data, software version
Liability Theories Negligence, negligent hiring, vicarious liability Product liability, negligent deployment, failure to warn
Expert Witnesses Accident reconstruction, trucking safety AI experts, robotics engineers, AV safety specialists

Applying FMCSA Principles to AVs

While autonomous vehicles aren’t currently subject to FMCSA regulations, many of the same safety principles should apply:

  1. Hours of Service (49 CFR Part 395)
    – AVs don’t get tired, but their systems can degrade over time
    – Should there be limits on continuous operation?
    – Should there be mandatory “restart” periods for system updates?

  2. Driver Qualification (49 CFR Part 391)
    – AVs don’t have drivers, but they have operators and monitors
    – Should these individuals be subject to qualification standards?
    – Should they require special training or certification?

  3. Vehicle Inspection (49 CFR Part 396)
    – AVs need regular inspections — but of their software, not just hardware
    – Should there be mandatory software update schedules?
    – Should sensor calibration be part of regular inspections?

  4. Cargo Securement (49 CFR Part 393)
    – AVs carrying passengers are effectively carrying “cargo”
    – Should there be standards for passenger safety in AVs?
    – Should there be requirements for passenger monitoring?

  5. Drug and Alcohol Testing (49 CFR Part 382)
    – Human monitors should be subject to drug and alcohol testing
    – Should there be requirements for monitoring monitor performance?

“The FMCSA regulations exist because we’ve learned — often the hard way — what happens when commercial vehicles aren’t properly regulated. We can’t afford to make the same mistakes with autonomous vehicles. The principles of safety don’t change just because the driver is a computer.” — Ralph Manginello

The Attorney911 Difference: Why Choose Us for Your Robotaxi Accident Case

When you’re facing the aftermath of an autonomous vehicle accident, you need more than just a lawyer — you need a team with:

  • 25+ years of experience holding commercial carriers accountable
  • Federal court experience to handle complex product liability cases
  • Insider knowledge of how insurance companies evaluate claims
  • A track record of multi-million dollar verdicts in complex cases
  • The resources to take on billion-dollar corporations like Tesla

Our Unique Advantages

  1. Former Insurance Defense Attorney on Staff
    – Our team includes Lupe Peña, who spent years working for insurance companies
    – He knows exactly how they evaluate claims and try to minimize payouts
    – Now he uses that knowledge to fight for victims, not against them

  2. Immediate Evidence Preservation
    – We send preservation letters within 24-48 hours
    – We file court orders to prevent data destruction
    – We work with forensic experts to extract critical vehicle data

  3. Deep Understanding of Autonomous Vehicle Technology
    – We stay ahead of the curve on AV technology and regulations
    – We work with top experts in AI, robotics, and vehicle safety
    – We understand the unique challenges of AV accident cases

  4. Proven Track Record in Complex Cases
    – $5+ million settlement for logging accident brain injury
    – $3.8+ million settlement for car accident amputation
    – $2+ million settlement for maritime back injury
    – Millions recovered in trucking-related wrongful death cases
    – Involvement in BP Texas City explosion litigation

  5. Compassionate, Client-Focused Representation
    – We treat every client like family
    – We keep you informed every step of the way
    – We fight aggressively for the compensation you deserve

What Our Clients Say

“They fought for me to get every dime I deserved.”
— Glenda Walker, Attorney911 Client

“You are NOT just some client… You are FAMILY to them.”
— Chad Harris, Attorney911 Client

“They solved in a couple of months what others did nothing about in two years.”
— Angel Walle, Attorney911 Client

“Ralph reached out personally.”
— Dame Haskett, Attorney911 Client

The Bottom Line: What This Means for Austin Families

The data is clear: Tesla’s robotaxis are crashing at eight times the rate of human drivers. This isn’t just a statistical anomaly — it’s a public safety crisis in the making.

For Austin families, this means:
Increased risk every time you share the road with an autonomous vehicle
New legal challenges when accidents occur
Critical evidence that can disappear if not preserved immediately
Complex liability questions that require experienced legal representation

If you or a loved one has been injured in an accident involving a Tesla robotaxi in Austin, Travis County, Texas, you need to act quickly. The legal landscape for these cases is evolving rapidly, and the evidence you need to prove your case can disappear in a matter of days.

At Attorney911, we’re at the forefront of this new legal frontier. We have the experience, the resources, and the determination to hold companies like Tesla accountable when their technology causes harm.

Take Action Now: Protect Your Rights

Every hour you wait, critical evidence could be disappearing.

If you’ve been injured in an accident involving a Tesla robotaxi in Austin, Travis County, Texas:

📞 Call us immediately at 1-888-ATTY-911 (1-888-288-9911)
📧 Email ralph@atty911.com for a free case evaluation
🌐 Visit https://attorney911.com to learn more

We offer:
Free consultations — no obligation, no upfront cost
Contingency fee representation — you pay nothing unless we win
24/7 availability — we’re here when you need us
Immediate evidence preservation — we act fast to protect your case

Learn More About Your Rights

The Definitive Guide To Commercial Truck Accidents
Understand how commercial vehicle regulations apply to autonomous vehicles

The Victim’s Guide to 18-Wheeler Accident Injuries
Learn about the catastrophic injuries that can result from commercial vehicle accidents

What to Do After a Car Accident?
Critical steps to protect your rights after any vehicle accident

The Ultimate Guide to Brain Injury Lawsuits
Understand your rights if you’ve suffered a traumatic brain injury

What Is Fair Compensation for Pain and Suffering?
Learn how pain and suffering damages are calculated in personal injury cases


Don’t let Tesla’s experimental technology leave you with permanent injuries and unpaid medical bills.

Call Attorney911 now at 1-888-ATTY-911 (1-888-288-9911).

We’ve spent 25+ years fighting for Texas families — and we’re ready to fight for you.

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