As AI technology continues to advance, it has increasingly been exploited for infringing activities that violate general personality rights protected under the Civil Code of the People’s Republic of China (the “Civil Code”), including the right to name, right to image, and right to reputation. In many reported cases, infringers upload unauthorized content through
Lending Platform Hit with AI-Related Securities Suit
One of the interesting features of the rise of AI has been the advent of “AI-and” businesses – that is, businesses whose strategy is to apply AI tools to traditional business models. When “AI-and” business results fall short, securities litigation has sometimes followed. In the latest example of this kind of litigation, earlier this week
When Geopolitic Events Disrupt the Cloud: Insurance Coverage for Data Center Supply Chain Losses in a New Era of Conflict
A New Risk Landscape for AI Infrastructure
Escalating tensions involving Iran—including maritime incidents affecting oil transport and alleged cyber and physical targeting of digital infrastructure in the Middle East—highlight a growing and underappreciated risk for AI-driven data centers: disruption that originates far beyond the insured’s own operations. These developments are not occurring in a vacuum.
Guest Post: Private Credit – Risky Business?
In the following guest post, James Sterling, Claims Counsel, Euclid Financial & Professional Risks, and Mike Newham, Partner, RPC, consider the economic and underwriting risks associated with the private credit markets. A version of this article previously was published on LinkedIn and on Euclid’s website. My thanks to James and Mike
Zalma’s Insurance Fraud Letter – April 1, 2026
ZIFL – Volume 30, Issue 7 – April 1, 2026
THE SOURCE FOR THE INSURANCE FRAUD PROFESSIONAL
Post number 5314
ZIFL-04-01-2026Zalma’s Insurance Fraud Letter (ZIFL) continues its 30th year of publication dedicated to those involved in reducing the effect of insurance fraud. ZIFL is published 24 times a year by ClaimSchool and is written
Geopolitics, Export Controls, and D&O Risk
Financial news sites were ablaze recently with the news that a co-founder and board member of the data server company Super Micro Computer had been indicted, along with two other company executives, for allegedly conspiring to smuggle high-end Nvidia chips into China, in violation of U.S. export control laws. With news that sensational, and in
Power Supply Company Hit with AI-Related Securities Suit
The rise of Artificial Intelligence (AI)-based tools and applications has also meant the rise in AI-related infrastructure, such as data centers and power generation support. And just as we have seen the rise of securities litigation relating to companies’ adoption of AI tools and processes, we have also seen securities suits relating to AI infrastructure
AI Is Already Creating Insurance Risk. Most Companies Are Behind.
Through late 2025, more than 88% of businesses reported incorporating artificial intelligence (AI) into at least one business function.[1] Much has been written about the widespread adoption of AI. It presents businesses and their leaders with a massive opportunity to streamline process and reduce costs. But general counsel, legal departments and C-suite executives must
Zalma’s Insurance Fraud Letter – March 15, 2026
ZIFL – Volume 30, Issue 6
THE SOURCE FOR THE INSURANCE FRAUD PROFESSIONAL
Post number 5304
Zalma’s Insurance Fraud Letter (ZIFL) continues its 30th year of publication dedicated to those involved in reducing the effect of insurance fraud. ZIFL is published 24 times a year by ClaimSchool and is written by Barry Zalma. It is provided
The Eleventh Circuit Just Gave Us a Roadmap for Using AI to Interpret Insurance Policies — and Coverage Lawyers Should Pay Attention
In this blog series, we explore the promises and the pitfalls of AI tools in the insurance coverage context, offering practical guidance for lawyers and business professionals to harness these technologies without getting burned.
If you practice insurance coverage law, you’ve been there: staring at an undefined term in a policy, toggling between three dictionaries