Artificial intelligence (AI) is becoming an increasingly consequential tool in car crash investigations, offering new ways to analyze evidence, reconstruct events and ultimately prove fault. For accident victims, this technology can provide a clearer, more objective picture of what really happened — often strengthening claims and increasing the chances of a fair outcome.
One of the most common uses of AI in car crash cases involves the analysis of data from vehicles themselves. Many newer-model cars are equipped with advanced sensors, GPS systems and event data recorders (sometimes called “black boxes”) that capture crucial information moments before, during and after a collision. AI software can process this raw data to determine the speed of each vehicle, braking patterns, steering inputs and the timing of impact. This type of evidence can be especially useful when drivers offer conflicting stories about what happened.
AI also plays a role in analyzing video footage from traffic cameras, dashcams or nearby surveillance systems. Advanced programs can slow down footage, track the movement of each vehicle frame by frame and identify behaviors like failure to yield, speeding, or sudden lane changes. AI tools can even enhance blurry or low-quality video to make details easier to see, which may be important when trying to determine who had the right of way or whether a traffic signal was obeyed.
In some cases, AI is used to recreate crashes through simulations. These programs rely on data inputs, like vehicle speed, road conditions and impact angles, and use algorithms to generate a detailed visual of how the collision likely occurred. These simulations can be compelling evidence in settlement discussions or in court.
The bottom line
While AI does not replace human investigation efforts, it helps reduce guesswork. Insurers may still try to dispute fault, but AI-supported evidence often makes it harder to challenge the facts when a victim is rightfully owed compensation.