Insights.
Research on the data infrastructure behind plaintiff-side litigation — how public records, regulatory filings, and machine learning combine to produce market intelligence.
The asymmetry problem in construction-defect litigation
The defense side has priced exposure from data for decades. The plaintiff bar has worked from instinct. Why that gap is structural — and what closing it looks like in practice.
Read Florida · Construction DefectHow Florida’s §558 process creates a public data trail
Florida’s construction-defect pre-suit framework is built on public-record infrastructure — permits, licensing, court filings. How that data trail works and what it reveals in aggregate.
Read Florida · Bad FaithReading carrier behavior from CRN data: what aggregate patterns reveal
Florida’s Civil Remedy Notice is a jurisdictional prerequisite for bad-faith claims — and a public dataset that, read in aggregate, surfaces carrier behavior patterns that are otherwise invisible.
Read Washington · Bad FaithWashington IFCA notices as a market signal
Washington’s Insurance Fair Conduct Act requires pre-suit notice filings with the Office of the Insurance Commissioner. In aggregate, those notices are a real-time market signal on carrier conduct.
Read Technology · DataEntity resolution in legal data: why builder-portfolio tracking needs machine learning
Large homebuilders operate under dozens of subsidiary entities. Manual matching misses connections that matter. How ML entity resolution closes the gap.
ReadFounding-cohort access is limited and by request. We’ll walk you through what DAIS surfaces for your practice area and jurisdiction.