AI tools typically work by asking for basic facts and then projecting a “range.” In real Ontario cases, the facts that matter most are often the ones that are hardest to enter—like how fault is likely to be allocated on busy intersections, what witnesses can confirm, and whether key records still exist.
Common ways an online estimate can go wrong:
- It can’t verify causation (for example, whether a medical complication was truly caused by the initial injury).
- It may assume clear fault, even though Southern California defenses frequently dispute speed, distraction, maintenance, or foreseeability.
- It can’t account for Ontario-specific evidence timing, such as how long it takes to obtain dashcam footage, traffic camera data, or employer safety records.
- It can’t model insurer strategy, including whether they plan to seek comparative fault or point to policy limits.
An estimate can be a starting point—but it can’t replace the case review that determines what losses are legally recoverable.


