Hunton Insurance Recovery Blog

Insurance coverage lawsuits often hinge on the plain and ordinary meaning of specific words or phrases. But not every word in an insurance policy can be defined. Yet without stable and predictable definitions, neither policyholders nor insurers can establish a clear and consistent scope of coverage. In a recent concurring opinion, Eleventh Circuit Judge Kevin Newsom suggests that artificial intelligence (AI) large language models (LLMs) could help resolve these definitional debates. His opinion in Snell v. United Specialty Insurance Company, No. 22-12581, 2024 WL 2717700 (11th Cir. May 28, 2024) highlights the pros and cons of calling upon technology to supply plain meaning.

Because insurance law is a creature of state law, it is rare for the United States Supreme Court to wade into insurance matters. But as our colleagues explained last fall, the Supreme Court agreed to do just that when it granted certiorari in Truck Insurance v. Kaiser Gypsum, a Fourth Circuit bankruptcy case. On June 6, 2024, the Supreme Court issued an opinion unanimously reversing the Fourth Circuit. In doing so, the Court held that insurers with financial responsibility for bankruptcy claims are “parties in interest” under the United States Bankruptcy Code and, therefore, may appear and be heard, including to object to Chapter 11 reorganization plans. This decision clarifies an important issue and paves the way for potentially greater participation by insurers in the Chapter 11 process.

We have previewed in prior posts the ways artificial intelligence is rapidly changing the way business operate, including the many ways AI has influenced the insurance market, creating both opportunities and risks for policyholders. We later highlighted, based on a recent securities lawsuit, how corporate management may be at risk for the alleged use or misuse of AI and how companies should evaluate their directors and officers (D&O) and management liability policies to ensure that they are prepared to respond to and mitigate AI-driven risks, including claims alleging that a company or its officers and directors made misrepresentations about AI.

As we explained in our introductory post, rapid advancements in artificial intelligence (AI) present multifaceted risks for businesses of all types. The magnitude, fluidity and specificity of these risks underscore why businesses should continually audit their own unique AI risks profiles to best understand and respond to the hazards posed by AI.

On September 26, 2023, KPMG published independent research showing that three-quarters of global businesses feel they are not ready for new ESG reporting regulations. KPMG’s findings are the latest reminder to businesses—and their directors and officers and other insureds—about the important role that Directors & Officers (D&O) insurance can play as businesses and organizations strive for ESG compliance and work to mitigate ESG-related risks.

As previewed in part 1 of our AI Policyholder’s Guide, we now discuss how businesses can assess their AI risk to ensure that they are properly positioned to secure insurance coverage should those risks come to fruition. Because no two businesses will have the same AI risk profile, businesses should consider undertaking organization-wide AI risk audits to evaluate their unique AI risk profile.

Understanding the nature of AI-focused legal risk is not only important for business planning, but essential to crafting a comprehensive AI-specific risk management plan. Indeed, because insurance is often underwritten relative to specific risks, knowing the risks to be insured is a prerequisite to procuring the right type of coverage with terms most suitable to a given risk profile.

Most modern liability insurance policies have provisions addressing whether different claims are “related” (or “interrelated”) for assessing potential coverage. Because the answer of whether two claims are “related” depends heavily on the facts giving rise to the underlying claims, the policy language, and applicable law, questions about relatedness can lead to significant insurance coverage disputes.

As explained in a recent alert, now is the time for public companies to adopt compliant clawback policies. This is because the US Securities and Exchange Commission (SEC) recently approved final rules on June 9, 2023, that required national securities exchanges like the New York Stock Exchange (NYSE) and the Nasdaq to implement new listing standards requiring public companies to institute compliant incentive-based compensation clawback policies. The NYSE and Nasdaq rules require listed companies to adopt clawback policies by December 1, 2023, which policies must apply to incentive compensation awarded after October 2, 2023. As public companies prepare to adopt compliant policies before the December 1, 2023 deadline, they should not only consider the clawback policy itself, but also the overlap between that policy and any applicable directors and officers (D&O) liability insurance. Doing so is important to address the potential new exposures created by the new SEC rules.

Earlier this month, the Eighth Circuit remanded a COVID-19 insurance recovery case to the district court on jurisdictional grounds. See Great River Ent., LLC v. Zurich Am. Ins. Co., No. 21-3815, 2023 WL 5839565 (8th Cir. Sept. 11, 2023).The Eighth Circuit’s decision underscores federal courts’ continued scrutiny of subject matter jurisdiction—especially in complex cases involving limited liability companies.

Artificial intelligence (AI) is rapidly changing the way businesses operate, from the way we research and write, to the way data is processed, to the way inventory is measured and distributed, to the way employees are monitored and beyond. Soon, artificial intelligence might be providing life advice, saving hospital patients or accelerating the development of cities. It is already reshaping corporate America. Very few, if any, industries—including the insurance industry—are immune. As the consultancy McKinsey wrote in 2021, artificial intelligence “will have a seismic impact on all aspects of the insurance industry.” McKinsey’s prediction has proved prescient.

As AI continues to influence the insurance industry and the broader economy, new opportunities and risks abound for policyholders. It is therefore essential for policyholders to keep up-to-date about insurance law’s latest frontier. To help policyholders navigate this new frontier, Hunton Andrews Kurth LLP’s insurance recovery team is introducing a new resource: The Hunton Policyholder’s Guide to Artificial Intelligence.

Harvard’s years-long battle with Zurich Insurance Company has finally ended. As our colleagues wrote in October 2022, Harvard already learned its lesson once when a court ruled that Zurich did not have coverage obligations after the university failed to provide timely notice of a lawsuit under its claims-made-and-reported insurance policy. Earlier this week, the First Circuit provided Harvard with a new volume explaining why it—and policyholders generally—should provide timely notice of claims to their insurers. The First Circuit’s decision in President & Fellows of Harvard Coll. v. Zurich Am. Ins. Co., No. 22-1938, 2023 WL 5089317 (1st Cir. Aug. 9, 2023) is but the latest high-profile reminder about the importance of adhering to notice requirements, including with respect to excess insurers, in claims-made-and-reported insurance policies.

The Fifth Circuit recently reaffirmed that an insurer’s duty to indemnify hinges on the facts determined in the underlying case, not the allegations. Thus, as confirmed by the Fifth Circuit’s July 31, 2023 decision in Liberty Mut. Fire Ins. Co. v. Copart of Conn., Inc., No. 21-10938, 2023 WL 4862793 (5th Cir. July 31, 2023), an adverse duty-to-defend decision may not foreclose a liability insurer’s indemnity obligations.