Score the factors that drive a case — liability, damages, evidence, credibility and venue — and get an AI report framing an indicative, non-binding outlook.
Quick answer
Rates a case's drivers — evidence, legal merit, procedural position, the opposition's gaps and client readiness — on 1-5 scales and returns a non-binding outlook report meant to inform, not predict, a result.
Disclaimer: this page and its AI report are for process reference only. They do not constitute legal advice, do not predict outcomes and are not a guarantee of any result. No tool can promise a case will win. Consult a qualified attorney before acting.
Methodology: factors are a structural adaptation of common case-merit heuristics, not an official model; scores are indicative, not dispositive.
Case prospects turn on a handful of factors — how clear liability is, the damages available, the strength of evidence, party credibility and the forum. This assessment scores each on a 1–5 scale and produces an AI report framing an initial, explicitly non-binding outlook that the attorney reviews with professional judgment.
Sample form and AI report preview (live - fill it in to generate the report).
Everything you need to run this template.
Liability, damages, evidence, credibility and venue scored 1–5.
A printable PDF framing an indicative, non-binding outlook.
A QR on the report opens follow-up questions.
Tailor the drivers to your practice area.
From copy to deliverable in four steps.
Copy it and set the factors for your practice area.
Rate liability, damages, evidence, credibility and venue 1–5.
Auto-score and produce a personalized AI PDF outlook.
Scan the QR to discuss drivers before advising.
Pick your role — see how it fits your workflow.
Structure a candid pre-filing outlook without overpromising.
Weigh matters consistently against the same factors.
Give student teams a disciplined intake framework.
What makes this template work as a professional deliverable.
A preview of real questions — the full version adds scoring and a personalized report per respondent.
