When attorneys evaluate motor vehicle accident (MVA) cases, one question dominates early decision-making:

“What is this case actually worth?” 

Historically, the answer has relied on experience, intuition, and incomplete comparisons. But with the growth of AI and large-scale legal datasets, we can now measure valuation accuracy with real precision, and the results are compelling.

Predict.law has deployed a model trained on 20,000+ MVA personal injury cases and over 200,000 structured data points, making this level of accuracy available to anyone.

The Metric That Matters

To evaluate accuracy, we focus on Median Accuracy, which shows how close predictions are in a typical case.

This approach gives a clear picture of real-world performance: what attorneys can expect in the majority of cases, rather than being influenced by a small number of extreme outcomes.

Results Across Higher-Value Cases

For this post, we’ll focus on higher-value cases of $289K and higher.
We have reached unprecedented levels of accuracy:

• $290K – $645K: Median Accuracy of 87.9%
• $645K – $1.4M: Median Accuracy of 91.9%
• $1.4M – $5.0M: Median Accuracy of 91.3% 

What This Means in Practice

1. Strong Accuracy Where It Matters Most 

Across higher-value cases, the model delivers approximately 88% to 92% accuracy in typical predictions.

In practical terms: 

• A $300,000 case is typically predicted within about $264K to $336K
• A $1,000,000 case is often within roughly $920K to $1.08M

This level of precision is especially important in higher-value matters, where even small percentage differences translate into meaningful dollar amounts.

2. Accuracy Improves as Case Value Increases 

One of the most important findings is that the model becomes more accurate as case value increases.

For cases above approximately $600,000, median accuracy exceeds 90%.

This matters because:
High-value cases carry the greatest financial exposure
Better accuracy directly improves negotiation and risk assessment

3. Reliable, Real-World Performance 

By focusing on Median Accuracy, we see how the model performs in a typical case, not just in ideal conditions or skewed by extreme outcomes.

The result is a model that delivers:
Predictable performance
Tight prediction ranges
Confidence in day-to-day use

Why This Changes Personal Injury Law: 

For decades, valuation has been more art than science. Predict.law has revolutionized this approach with modern AI and data science, allow firms to operate more efficiently and capture maximum case value.

• Intake teams can prioritize stronger cases earlier
• Attorneys can anchor expectations with data, not just instinct
• Firms can bring consistency to decision-making across teams

Most importantly, it introduces objectivity into a process that has historically varied widely from one evaluator to another.

The Bottom Line

For higher-value MVA cases, the model delivers:

• ~88% to 92% median accuracy
• 90%+ accuracy for cases above ~$600K
• Stable performance across thousands of matters

Accurate case valuation gives firms a consistent understanding of value across their docket, improving intake decisions, strengthening case strategy, and driving higher case values and firm revenue.