Posts on what we actually think.
Essays on conformal prediction, social inflation, and where generative AI helps and where it doesn't. Written by the team.
Where Defense Spend Is Wasted
The root cause of claims leakage is not exorbitant hourly rates. It is the failure to understand the true exposure of a claim on day one, forcing carriers to fund procedural skirmishes while plaintiffs build damages.
Security and Data Handling for Sensitive Claim Records
Handing thousands of pages of raw medical and legal records to a third-party AI pipeline is a CISO's nightmare. Building a forecasting platform for insurance claims requires treating data as a liability and engineering for pessimism.
Neural-Symbolic Models for Legal Outcome Prediction
Generative AI is a text engine, not a crystal ball. To forecast litigation outcomes accurately, you must fundamentally separate the act of reading a claim file from the mathematics of predicting its cost.
Litigation Funding and the New Math of Claim Exposure
Third-party capital has fundamentally altered the incentives driving bodily injury claims. When the plaintiff's side plays a portfolio game to maximize returns, defense strategies built on historical payout curves become obsolete.
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