Probability Engine 1.0

Veil-piercing and alter-ego claims occupy one of the most fact-intensive and equity-driven areas of corporate litigation. Courts do not apply a checklist. They evaluate how multiple factors interact across a record to determine whether formal separateness should be respected.

These cases are frequent, high-stakes, and deeply jurisdiction-sensitive. Outcomes turn not on any single factor, but on how control, capitalization, conduct, and equity cohere in context.

Donblas is extending its probability engine to model this structured accumulation of reasoning.

Built on the same probability-tree infrastructure that supports our statutory and class-certification tools, this engine is designed to bring disciplined, evidence-anchored analysis to a doctrine defined by interaction rather than rules alone.

The objective is not to replace equitable judgment—but to make the structure behind it visible, reviewable, and strategically useful.