AI-assisted evaluation extracts the facts bearing on liability and damages from the case record, compares them against historical outcomes, and produces a structured assessment or range.
It supplements rather than replaces counsel's evaluation judgment.
Alternative Names:
Automated Case Evaluation, AI-Assisted Evaluation
Why it Matters?
The genuine contribution is consistency and speed on the extraction half of evaluation, since pulling every treatment date, billing total, and liability fact from a file is mechanical. The projection half is weaker, because outcome data is skewed toward cases that tried and cannot capture the case-specific facts that drive results. Treating the output as an input to counsel's evaluation rather than as the evaluation is the appropriate use.
Frequently Confused with
Related terms
Frequently asked questions
Can AI evaluate a case?
What limits the projection component?
