AI tools typically work by taking your inputs (injury type, treatment length, medical totals) and applying broad assumptions. That approach can be useful for understanding categories of damages—but it often misses the reasons trucking cases in Republic settle differently.
Common ways an AI estimate can go off track:
- Missed evidence in the first days. In local crash situations, the evidence that matters most (photos, video from nearby businesses, witness details, vehicle inspection info) may not be organized early.
- Conflicting accounts. Even when liability feels obvious, insurers frequently challenge what happened and when.
- Trucking-specific defenses. Companies may point to maintenance, logs, training, or cargo handling—issues that a generic calculator can’t weigh.
- Causation disputes. An insurer may argue your symptoms are unrelated or worsened by something else.
In other words, the number a calculator gives you is only as solid as the proof behind it.


