How to Build a Litigation Damages Model
A component-by-component method for estimating recoverable damages that survives cross-examination and feeds a settlement calculation.
All guides →A damages model is the quantitative backbone of a case. It converts harm into a defensible number, and that number drives everything downstream: the settlement zone, the expected value, the decision to invest in trial. A model built as one round figure collapses under cross-examination. A model built from components, each traceable to a source and a legal theory, holds up and tells you where the value actually lives.
This guide builds a damages model from the ground up, distinguishing the categories the law recognizes, the difference between what is proven and what is projected, and the reductions a defendant will press. It is an educational explainer, not legal advice, and it deliberately avoids naming dollar figures as if they were data.
Anchor every number to a legal theory of recovery
Before estimating anything, list the categories of damages your specific claim actually permits. Different causes of action unlock different remedies, and a number that no legal theory supports is worth zero no matter how well documented the underlying loss. Tie each component to the theory that lets you recover it, so the model mirrors what a court could award rather than what the client feels they are owed.
This framing also disciplines scope. If a category of harm is real but not recoverable under any available claim, it belongs in a note, not in the model total. Keeping the model honest about recoverability is what makes it usable in a negotiation.
Separate economic from non-economic damages
The clearest first cut divides losses you can compute from records versus losses that require judgment. Economic damages are grounded in documents and arithmetic; non-economic damages are real but inherently contested and often capped or discretionary. Modeling them separately keeps a soft, arguable figure from contaminating a hard, provable one.
- Economic: lost wages or profits, medical or repair costs, out-of-pocket expenses, diminished value.
- Non-economic: pain and suffering, emotional distress, reputational or goodwill harm, where the claim allows.
- Statutory and enhanced: treble damages, statutory minimums, and fee-shifting that specific statutes provide.
- Interest and costs: prejudgment interest and recoverable litigation costs, which compound over a long case.
Grade each component: proven, projected, or speculative
Attach an epistemic label to every line. Proven amounts rest on invoices, pay records, or contracts and are hard to dislodge. Projected amounts, like future lost earnings or ongoing care, rest on assumptions about growth rates, discount rates, and duration, and a defense expert will contest each assumption. Speculative amounts have a plausible theory but thin evidentiary support.
This grading does double duty. It tells you which figures to lead with in negotiation and which to hedge, and it feeds directly into a probability-weighted valuation: a proven line carries near its full weight, while a speculative line should be discounted by the odds of proving it. Never blend a proven number and a speculative one into a single undifferentiated total.
Model the defendant's reductions
A one-sided model is a wish list. Build the defense case into the same spreadsheet: comparative fault that reduces recovery by the plaintiff's share, failure-to-mitigate arguments that trim recoverable loss, offsets from collateral sources or prior payments, and duplication where two categories claim the same underlying harm. Each reduction is a line the opposing expert will push, so anticipate it.
Running your gross model alongside a realistic net-of-reductions model gives you a range rather than a single brittle figure. The gap between them is a map of the contested territory, and it tells you exactly which factual disputes are worth the most money to win.
Wire the model into probability and simulation
A damages model is an input, not an answer. The recoverable number only becomes a settlement figure when multiplied by the probability of actually winning and reduced by the cost of the fight. Keep the damages model modular so its output can flow straight into an expected-value calculation without re-keying.
Because several components carry ranges rather than fixed values, the natural next step is simulation. Juricratic lets you enter each component's plausible range as a dial and runs a seeded Monte Carlo pass, producing a distribution of recoverable damages instead of a single guess. A sensitivity view then ranks the components by how much each one moves the total, pointing your discovery budget at the lines that actually decide the case.
- Why build a damages model from components instead of one number?
- Because a single round figure cannot be defended. When each line traces to a source and a legal theory, you can support it on cross-examination, revise it as evidence changes, and see which component drives the total. A decomposed model also lets you weight proven and speculative amounts differently instead of blending them into one brittle guess.
- How do I handle future or projected damages?
- Label them as projected and make every assumption explicit: growth rate, discount rate, and duration. Each assumption is a place a defense expert will attack, so model a realistic range rather than a point. Then discount the projected component by the probability of proving it, keeping it separate from proven, documented losses.
- Should my damages model include the defendant's arguments?
- Yes. A credible model runs your gross figure alongside a net figure that reflects comparative fault, failure to mitigate, offsets, and duplication. The gap between gross and net maps the contested money and shows which factual disputes are worth the most to win. A one-sided model overstates value and surprises you in negotiation.
This page is an educational explainer, not legal advice, and creates no attorney–client relationship. Juricratic is a simulation engine: every probability-like figure is a dial you set, not a calibrated prediction. Verify every rule, deadline, and figure against the authorities and orders that govern your matter.
Stop estimating one number at a time.
Juricratic models the whole matter as a solvable game and runs it thousands of times — so the settlement value, the risk, and the optimal line all move together when the facts do.
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