Entity resolution in legal data.

Large homebuilders don’t operate through a single entity. They structure their businesses across networks of subsidiaries, organized by county, by project type, and by division. This is deliberate. And it has historically created an intelligence problem that works in their favor: fragmented public records that make it difficult to see the builder for what it is.

Structured for opacity

A homebuilder with major Florida operations may appear under one legal name in one county, a different name in the next, and several others across licensing records, permit applications, and court filings statewide. Each subsidiary is technically a distinct legal entity. Together, they constitute one economic actor. And it is that actor’s conduct, in aggregate, that matters when an injured homeowner is deciding whether to fight.

This structure is not unusual. It is the norm for any builder operating at scale. And it has long functioned as a practical barrier: the full picture of a builder’s conduct history, including its litigation posture, repeat-defendant patterns, and responses to similar claims across jurisdictions, is invisible unless someone has assembled it across all those names in all those databases. No one has done that work for the plaintiff bar. Until now.

The information gap builders rely on

Builders know their own track records. They aggregate claims internally, track litigation outcomes by jurisdiction and project type, and use that institutional intelligence to price risk and set strategy at the negotiating table. The plaintiff attorney representing a homeowner on the other side of that table has historically had none of it.

The result is a negotiation where one side walks in with a complete institutional picture and the other works from case experience alone. That asymmetry, not bad lawyering but a structural information deficit, has shaped outcomes for decades. The homeowners and families who hired those attorneys deserved better. That is what DAIS was built to address.

What DAIS delivers

Assembling a coherent picture of builder behavior across fragmented public records is a genuine engineering challenge that requires advanced AI and machine learning to solve at the scale and accuracy that makes the intelligence meaningful. DAIS has built that infrastructure, refined it, and validated it. The result is not a collection of subsidiary snapshots. It is a unified view of each builder’s behavior across its full footprint, across time, and across the dimensions that actually move a case.

That intelligence is new. No analytics platform has assembled it before for the plaintiff bar. We built it specifically for the attorneys who represent real people against powerful corporate defendants, attorneys who have deserved this edge for a long time.

What Founding Members receive

The specifics of how DAIS builds and validates its analytics are part of what Founding Members receive. The methodology is the product; it is not something we document on a public website. What we can say: it works, it is built on entirely public and licensed data, it is delivered in aggregate anonymized form, and it produces intelligence unlike anything previously available to the plaintiff bar.