Personal injury settlement calculator.
Defensible, jurisdiction-tuned settlement value for plaintiff personal-injury cases. Confidence-banded. Sourced. Built for the attorney making the case-selection call at intake — not for the carrier setting reserves on the other side.
See a sample prediction, then run your own.
Below is one case the model has already scored: a low-speed rear-end in Harris County, shown with its 90% confidence band. Enter your own six case facts to get your number. Free, no signup to start.
Run your own case next.
Answer six questions and get a jurisdiction-tuned settlement number with a 90% confidence band. Free to run. The 14-day trial only adds the cited comp set and the demand-letter export.
Enter my case (6 questions, ~60 sec) →This free version runs the same model architecture on the core six inputs. The 14-day trial adds the secondary signals, the cited comp set behind each number, jurisdiction breakouts, and the demand-letter export. Same method, more inputs.
Held-out test set: 90–92% accuracy (Median Absolute Percentage Error) against actual outcomes, 92% on MVA and 91% on premises liability. The full split, the folds, and the confidence-band derivation are on the methodology page. The number is the headline; the band is the methodology.
How the calculator works
The Predict-Your-Case Calculator runs your inputs through a gradient-boosted regression trained on 312,000 jury verdicts and reported settlements from 2018 forward. It returns a confidence-banded settlement value — a point estimate plus the 90% interval — alongside the comparable-verdict cohort and the jurisdiction tuning that produced the number.
The model is plaintiff-only. The training data, the case-history attributes, and the verdict outcomes are all sourced from plaintiff-side filings, public PACER records, and reported verdict databases. There is no claims-side carrier data in the model, and there never will be. Plaintiff-only is the trust contract; the dataset reflects it.
The output is designed for the intake call. 30 seconds, not two hours. Type the case facts you'd type into a Verdict Search lookup, get a number with a band before the retainer is signed.
Inputs that actually move the number
Six inputs do most of the work. The model handles dozens of secondary signals — judge composition, plaintiff-counsel reputation, per-county settlement medians — internally, but the six fields a plaintiff attorney can supply at intake are:
- Jurisdiction. The single largest factor. A low-speed rear-end MVA settles for a median of $485K in Texas · Harris County and a median of $112K in Florida · Miami-Dade. Same fact pattern, different number — because Florida is a no-fault state with capped PIP economics and Harris County juries return materially higher general damages.
- Liability clarity. Clear liability (rear-impact with admitted fault) multiplies the predicted value against a shared-comparative case at the same severity. Probable liability lands in the middle. The model doesn't pretend a contested case is worth the same as an admitted one.
- Injury severity. Minor, moderate, severe, catastrophic. The severity ladder is the second-largest factor after jurisdiction. Soft-tissue cases settle at small multiples of medical specials; catastrophic injuries — TBI, paralysis, permanent impairment — settle at 10–14× multiples plus jurisdiction-dependent non-economic damages.
- Medical specials. The anchor for the damages calculation. The classic "multiple of meds" heuristic is a reasonable first approximation, but the multiplier itself varies by severity, liability, and jurisdiction — which is why a static spreadsheet misses by 30–50% on cases the model lands inside the band.
- Property damage. A weak signal on settlement value, but a useful one for sanity-checking severity claims. The model uses it as a correction term, not as a primary driver.
- Case type. MVA versus premises liability. The same medical-specials profile produces materially different settlements across case types — premises cases carry comparative-fault risk almost everywhere, which compresses the upside.
The calculator on this page accepts all six. The full Predict model — available inside the 14-day free trial — adds the secondary signals automatically once a case is loaded into the system.
Why every number ships with a confidence band
The instinct, when building a pricing model for attorneys, is to suppress uncertainty. A clean number is more decisive; a number with a band looks less authoritative. We almost did that. We were talked out of it by attorneys.
Attorneys are trained to evaluate uncertainty. It's the job. A point estimate without a defense is worse than no estimate at all — it forces the attorney to choose between trusting a black box and rejecting the entire tool. A confidence band is the defense. It says: here is what we know, here is the precision of what we know, and here is what would have to be true for the number to move.
The number is the headline. The band is the methodology. Never lead with the range.
The band on every Predict prediction is a 90% confidence interval — meaning 9 out of 10 cases with the same input profile settle inside the published range. If a prediction misses outside the band, we recalibrate the model for that jurisdiction and disclose the recalibration. That's a brand commitment, not a marketing line.
By case type — MVA and premises liability
The two case types Predict is calibrated for cover roughly 70% of plaintiff PI volume by case count. Each has its own modeling considerations:
- Motor vehicle accidents (MVA). The most predictable category — clear severity gradients, well-documented medical histories, dense jurisdiction-level verdict data. Confidence bands on MVA cases are typically tight (±8–14% at the moderate severity tier). The MVA settlement calculator walks through the case-specific factors and surfaces typical comp ranges.
- Premises liability (PL). Slower-moving, more comparative-fault exposure, more variation across jurisdictions. Confidence bands run modestly wider (±12–18% at moderate severity). The premises liability settlement calculator handles slip-and-fall, retail premises, and commercial-property cases.
The calculator on this page handles both case types. The two specific calculators add the case-type-specific guidance — what to look for at intake, what the band typically looks like, which jurisdictions have the densest comparable-verdict data.
Why jurisdiction is the largest single factor
State-level PI economics vary by an order of magnitude. The same fact pattern — a low-speed rear-end MVA with clear liability, moderate cervical strain, $24K in medical specials — settles for a median of $485K in Texas, $352K in Georgia, $305K in California, $112K in Florida (no-fault), and $78K in New York (no-fault). The model trains separate jurisdiction folds for each state and, where data density allows, each county.
For a per-state breakdown of median MVA settlement values, jury-verdict density, and the no-fault versus tort regime, see the state-by-state calculator hub. State pages are calibrated against the local verdict dataset for each jurisdiction.
Predict vs. Verdict Search, settlement-evaluator firms, and gut
Three things compete with Predict in the buyer's head at the decision moment:
- Doing nothing — gut + spreadsheet. The largest competitor. The status quo for most solo and small-firm PI attorneys. Predict's claim against gut is that a 2-case-per-quarter improvement in case selection pays the subscription back in a single settlement. The math is real; the underlying assumption is that the case-selection decision is being made on the wrong anchor (property damage and how the caller sounded on the phone) rather than the right one (jurisdiction-tuned, severity-weighted comparable-verdict comp).
- Verdict Search / Jury Verdict Reporter. Industry-standard lookup databases. Retrospective, manual, slow. A two-hour Verdict Search session at the end of the day produces a comp a week after the retainer is signed. Predict produces a number at intake — when the decision actually gets made.
- Outsourced settlement-evaluator firms. Paralegal-staffed firms that produce demand-letter valuations on a per-case basis. Slow (one to two weeks), expensive (~$1,500 per case), not integrated into the intake flow. Predict delivers the same valuation in 30 seconds, inside the workflow, included in a $499/month subscription.
Frequently asked questions
How is a personal injury settlement value calculated?
Settlement value is driven by liability clarity, injury severity, medical specials, property damage, plaintiff-counsel reputation, and jurisdiction-specific verdict history. The Predict model trains a gradient-boosted regression on 312,000 jury verdicts and reported settlements, with stratified jurisdiction folds, and produces a confidence-banded prediction for each case.
How accurate is the Predict settlement calculator?
The model holds 90–92% accuracy on a held-out test set for motor vehicle accident and premises liability cases. Accuracy is measured as the Median Absolute Percentage Error (MdAPE) against actual settlement/verdict outcomes. The methodology page documents the test methodology, the held-out split, and the per-jurisdiction calibration. If a prediction misses outside the published confidence band, we recalibrate and disclose.
Why are confidence bands shown with every prediction?
Attorneys are trained to evaluate uncertainty. A number without a defense is worse than no number at all. The confidence band is the methodology — it shows what we know, the precision of what we know, and what would have to be true for the number to move.
Does Predict sell to insurance carriers?
No. Predict is plaintiff-only by design. We will never sell to insurance carriers, defense firms, or any defense-side claims operation. The proprietary case-outcome dataset flows in one direction: toward the attorneys fighting for plaintiffs.
What case types does the calculator support?
Motor vehicle accident (MVA) and premises liability (PL) at launch — the two case types where the model is calibrated to 90%+ accuracy. Medical malpractice, mass tort, and workers compensation are out of scope for the current product.
Is the calculator really free?
Yes. The public calculator on this page is free and requires no signup. It runs the demo model — the same architecture as the full Predict model, but with fewer secondary signals. The full model — case-history sources, demand-letter integration, jurisdiction breakouts, and the in-workflow case-load view — runs inside the 14-day free trial. The trial requires no credit card at signup.
Specific calculators and the methodology behind them.
Motor vehicle accident settlement calculator
The most predictable PI category. Dense jurisdiction data, tight confidence bands, clear severity gradients. Calculator preset to MVA defaults.
Open the MVA calculator → Sub-pillar · Premises liabilityPremises liability settlement calculator
Slip-and-fall, retail premises, commercial property. Comparative-fault aware, jurisdiction-tuned. Wider bands than MVA — and why.
Open the PL calculator → Sub-pillar · By stateSettlement value by state
Jurisdiction-by-jurisdiction medians. Tort versus no-fault economics. Per-state verdict density and the calculator tuned to each.
See the state-by-state hub → Sub-pillar · MethodologyHow the predictions are made
Model architecture, training data, held-out test methodology, confidence-band derivation, and the recalibration policy. The methodology is in the open.
Read the methodology →Predict your next case before the retainer.
Run it free in under a minute and see a defensible number with a 90% confidence band. The 14-day trial (no card to start) unlocks unlimited predictions, the comp set behind every number, and the demand-letter export.