The Problem
The settle-vs-litigate decision is the most consequential one in litigation, and it's usually made on gut. Lawyers say "I think we'd win" or "the offer is fair" without ever modeling the probability-weighted outcomes, the legal fees, the time-value, or the variance. Clients accept settlements they shouldn't and reject offers they should take.
The Solution
Lawra Settlement Valuation combines the Trial Simulator (likely outcomes) and AI Judge (judicial tendencies) to model probability-weighted expected value, then adjusts for legal fees, time-to-judgment, and a configurable risk premium. Output: a defensible recommendation memo with the settle-or-litigate threshold, the underlying assumptions, and the sensitivity analysis.
Key Features
Probability-weighted outcomes — runs the Trial Simulator to estimate P(win), P(loss), and the expected damages distribution.
Cost-adjusted expected value — subtracts projected legal fees + time-value + opportunity cost from each scenario's payoff.
Risk-premium tuning — client risk-tolerance slider (risk-averse / neutral / risk-seeking) reshapes the recommendation.
Sensitivity analysis — shows which inputs (probability of liability, damages range, fee burn rate) most move the recommendation.
Use Cases
Plaintiff's counsel gets a settlement offer; Lawra models whether it beats the expected value of going to trial, factoring fees and time.
Defense counsel preparing for mediation — runs scenarios across opening offers to find the zone of possible agreement.
In-house counsel reporting to the board on a "settle for $X" recommendation — has the math and the risk model to defend it.
Best For
Litigation partners, mediators, in-house counsel making settle-vs-litigate decisions. Anyone who has been told "use your judgment" on a 7-figure settlement.
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Case Simulator — Court Edition
Full court simulation including judge temperament, style, and ruling history — simulate proceedings, rulings, and refine your litigation strategy.
Lawra Settlement Valuation
Settle vs. litigate, modeled. Expected-value analytics combining trial simulation, judge analysis, and risk-adjusted outcomes.
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