Settlement Probability
With its calibrated confidence band
Forecasts on every claim. Calibrated. Traceable. On time.
Every open claim gets a settlement range, escalation probability, comparable cases, reserve delta, and projected defense costs, so your team negotiates from numbers, not instinct.
What lands on the file?
When the platform integrates with your claims system, every open claim gains the same set of published values (internal and external) — each one rendering inside the system the team already uses.
Damage Range
Anchored to comparable outcomes
Reserve Delta
Against the reserve currently posted on the claim
Comparable Cases
References from your historical book and external sources
Drivers
What impacted the predicted outcomes
Escalation Probability
The risk associated with keeping the claim unresolved
Six capabilities.
Settlement Forecasting
A calibrated settlement range on every open claim, anchored to comparable claims and your own historical book — so negotiations start with a defensible number.
Escalation Risk Modeling
The probability a claim escalates to representation, suit, or complex dispute — read against every comparable claim that escalated before it, so senior adjusters locate the relevant files early.
Case Trajectory Modeling
A forecast of how the case unfolds — escalation, litigation path, venue effects, milestones, and the probabilities on each likely resolution — to inform whether to settle, proceed to ADR, or to try the case.
Coverage Intelligence
The policy read alongside the facts of the claim — clauses pulled, exclusions surfaced, triggers named — so coverage is interpreted the same way across the team.
Comparable Case Intelligence
The closest comparables from millions of public and proprietary outcomes — by jurisdiction, injury, counsel, and file specifics — with what they actually settled for and when.
Litigation Spend Governance
Defense spend grounded in outcomes across the book — by panel firm, case type, and jurisdiction — so delegated authority and panel routing track the predicted exposure, not the invoice history.
Where it fits in your workflows
The platform reads from your claims systems, document repositories, and matter-management tools. We do not replace any of them — the forecast object renders inside them, via embed, API, or a thin native panel. Implementation is a phased rollout: historical claims load first, the model calibrates against your own history, and new forecasts begin once calibration meets the agreed threshold.
Input
Claims system
Forecast object
ComparablesDriversRange
Three outputs
Adjuster View
In-file panel
Reserving Queue
Drift-sorted list
Counsel Routing
Exposure over invoice history
Trust and compliance.
Compliance & Encryption
Enterprise-grade security standards
The platform is ISO 27001 certified, with SOC 2 Type II attestation in progress. Data is encrypted in transit and at rest, access is role-based, and every forecast carries an audit trail back to the inputs and the comparable cases that produced it.
Data Isolation
Your data never leaves your environment
When data can't leave your environment in identifiable form, we de-identify it onsite, process only the anonymized data, and re-attach the forecast on its way back. Full on-premise deployment is on the roadmap; details live on /blog-privacy.
Run it on one of your own cases.
Bring one anonymized case and we will run the platform against it on a thirty-minute call. The calibrated range, the escalation probability, the comparable cases, and the reserve delta are published live on the case you brought.