Data, Discovery, and the Plaintiff’s Bar: Two Webinars
Summary
Darrow, a legal intelligence company, is hosting two educational webinars in February 2026 to help plaintiff attorneys navigate a tech-driven legal environment and shift towards proactive Legal Intelligence. The first webinar, "Pharmaceutical Antitrust Litigation: Actavis, the Aftermath, and the Evolution of Pay-for-Delay," on February 10th at 2:00 PM ET, will discuss the evolution of pay-for-delay cases, sophisticated pharma tactics, and data-driven tools for identification. The second, "Wiretap Litigation in 2026: Emerging Theories, New Targets, and the Tech Powering the Next Wave," on February 17th at 2:00 PM ET, will cover 2026 wiretap trends, new legal theories, potential defendants, and how technology aids in prosecuting these cases. Darrow also provides a free archive of past webinars on its YouTube channel.
Key takeaway
For plaintiff attorneys refining their 2026 intake and litigation strategy, attending Darrow's February webinars offers critical insights into pharmaceutical antitrust and wiretap litigation. You will learn how data-driven tools and AI can help identify complex violations and new targets, enabling a proactive approach to case building. Consider registering to stay ahead of evolving legal frontiers and enhance your firm's ability to uncover high-value cases.
Key insights
Legal intelligence and AI-led approaches empower plaintiff attorneys to proactively identify and build stronger cases.
Principles
- Proactive intelligence beats reactive filing.
- Data tools reveal hidden legal violations.
Method
Shift from manual case-finding to an AI-led approach to uncover high-value patterns of wrongdoing and build defensible cases.
In practice
- Identify sophisticated pay-for-delay tactics.
- Uncover emerging wiretap litigation targets.
Topics
- Legal Intelligence
- AI-powered Litigation
- Pharmaceutical Antitrust
- Wiretap Litigation
- Data-driven Legal Tools
Best for: Legal Professional
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Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial Lawyer.