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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

AI is making waves across construction—from analyzing specs and drawings to automating scheduling and productivity tracking. But alongside efficiency gains come legal and operational risks that can’t be ignored.

Understanding how AI tools function—and where they fall short—is critical for managing liability on today’s projects.

Key Legal Considerations Around AI Use in Construction:

  • Hallucinations –

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

On June 14, 2024, the WSBA Construction Law Section is hosting its midyear CLE program, “Back to the Future: Leveraging Technology in Post-Covid Construction Disputes,” which will cover ethics, construction-related case law updates, technology, perspectives from the bench, arbitration, artificial intelligence, and legislative updates and appeals. 

As part of the program, my colleague Colm Nelson

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