1 rich Libsyn https://www.libsyn.com 90 600 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 &quot;People Magazine&quot; 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 &quot;scientific rigor&quot; 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 &quot;couponing&quot; websites to sophisticated, non-US-based bot attacks. Defensible Clarity: Why &quot;gut feelings&quot; 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. &amp;nbsp; Technically Legal - A Legal Technology and Innovation Podcast https://www.tlpodcast.com/ <iframe title="Libsyn Player" style="border: none" src="//html5-player.libsyn.com/embed/episode/id/40317980/height/90/theme/custom/thumbnail/yes/direction/forward/render-playlist/no/custom-color/88AA3C/" height="90" width="600" scrolling="no" allowfullscreen webkitallowfullscreen mozallowfullscreen oallowfullscreen msallowfullscreen></iframe> https://assets.libsyn.com/secure/content/199247335