As businesses race to adopt Artificial Intelligence, the insurance industry is navigating a fast-evolving and complex web of risks. From bodily injury to securities fraud, AI is triggering claims that span nearly every corner of liability coverage. In this post, insurance litigator Seth explores the fast-moving intersection of AI and insurance—and why companies need to

In the beginning of March, I gave a presentation on AI legal developments. One of the attendees astutely pointed out that the current legal framework seems to focus on B2C use cases. I agreed. The focus is consumer protection. About 10 days later, I spoke at an AI contracting livestreaming event. Preparing for it gave

AI is evolving at a breakneck pace, making it increasingly difficult for businesses and legal professionals to track critical developments. Whether you’re an AI model developer, deployer, investor, or infrastructure provider, staying informed on AI’s risks and benefits requires a strategic approach. This article explores key AI regulatory trends and offers a framework for organizations

Artificial Intelligence (AI) tools are becoming commonplace in workplace. According to Equal Employment Opportunity Commission (EEOC) Chair Charlotte Burrows, “as many as 83 percent of employers and up to 99 percent of Fortune 500 companies now use some form of automated tool to screen or rank candidates for hire.”

Just as the use of AI

As consumer demand for new artificial intelligence (“AI”) tools continues to grow, businesses must be prepared to build tools with “privacy by design” principles in mind, and to remain educated about privacy best practices and risk mitigation strategies when working with AI. The following areas provide the greatest opportunities to manage data privacy risks and