Donald Beshada, former litigator turned legal tech entrepreneur and CEO of Covalynt shares his journey from big-law to the forefront of using data science in litigation. Specifically, to address systemic fraud in class action settlements.

The conversation explores the evolution of claims administration—from the traditional "People Magazine" notice era to the current digital landscape dominated by targeted advertising and sophisticated fraud bots. Donald explains how his company uses data science and identity resolution to bring "scientific rigor" to ensure class action settlements reach legitimate claimants while filtering out fraudulent activity.

Key Takeaways:

The Shift in Fraud: How class action fraud evolved from "couponing" websites to sophisticated, non-US-based bot attacks.
Defensible Clarity: Why "gut feelings" about fraud don't hold up in court, and the necessity of providing an evidentiary framework for disqualifying claims.
Data Science vs. Traditional Settlement Administration: A look at how the Apple Antitrust case served as an inflection point, proving that old-school matching methods are no longer sufficient for class certification or ascertainability.
The Future of Notice: Moving toward a world where data science can connect retail purchases directly to individuals, potentially eliminating the need for expensive, broad-market advertising.

From Water Pistols to Tanks: Why Data Science is the Gold Standard to Counter Class Action Fraud (Donald Beshada, CEO, Covalynt)