As we move through 2026, the integration of Artificial Intelligence into the core of business operations is no longer a “future” trend—it is the current standard. However, this rapid adoption has birthed a unique and often misunderstood risk: the AI Hallucination. Unlike a standard software “bug” or a connectivity glitch, a hallucination occurs when a Large Language Model (LLM) generates information that is factually incorrect or entirely fabricated, yet presents it with absolute confidence.
For a business, these are not mere technical hiccups. They are potential catalysts for litigation. When a company relies on hallucinated data to make high-stakes corporate decisions or deliver professional services, the resulting errors can trigger two primary pillars of executive protection: Directors & Officers (D&O) and Errors & Omissions (E&O) insurance.
D&O Liability: The Duty of Oversight in the AI Era
In the corporate world, board members, C-suite leaders, and senior managers are held to a high standard of fiduciary responsibility. They are personally liable for the business decisions they make on behalf of the company. While the corporation typically indemnifies these leaders for such decisions, a D&O policy serves as the ultimate backstop, indemnifying the corporation for those costs and protecting the personal assets of the individuals.
The threat of AI hallucinations introduces a new layer of “Negligent Oversight.” If a board authorizes a major acquisition or a pivot in corporate strategy based on AI-generated market analysis that contains significant “blind spots” or “hallucinated context,” they may be in breach of their duty of care. Shareholders and regulators are increasingly asking whether leadership exercised a proper “human-in-the-loop” (HITL) verification before acting on AI outputs.
If a hallucination leads to a misleading financial disclosure or a flawed strategic move that impacts the stock price, the resulting damages fall squarely within the realm of D&O. Insurers are now scrutinizing corporate AI governance frameworks specifically to determine if leadership is “blindly” following the machine or maintaining the necessary oversight to catch these digital fabrications.
E&O Liability: Professional Services and the “Velocity of Error”
While D&O protects the decision-makers, Errors & Omissions (E&O) insurance—also known as Professional Liability—indemnifies the entity or the individual for mistakes made in the performance of services for others for a fee. In short, AI hallucinations can result in incorrect services being rendered, often with a “velocity of error” that human-led mistakes rarely achieve.
This risk is far from hypothetical; it is backed by a growing body of precedent:
- The 2023 “Mata v. Avianca” Case: In a landmark 2023 instance, attorneys in the case of Mata v. Avianca, Inc. submitted a legal brief to a New York federal court containing six entirely fabricated case citations generated by ChatGPT. The AI had “hallucinated” the names of the cases and the judicial opinions. The judge ultimately sanctioned the attorneys, ruling that “technological assistance” does not absolve a professional of their duty to verify.
- The 2025 “Lindell” Defamation Sanctions: In July 2025, a U.S. District Judge sanctioned attorneys representing Mike Lindell after they filed a brief riddled with nearly 30 “defective citations,” including non-existent cases. This demonstrated that even high-profile, high-stakes litigation is susceptible to AI-driven professional errors.
- The 2025 Accounting Reprimands: Beyond the courtroom, E&O claims are emerging in the accounting sector. In 2025, several firms faced scrutiny after proprietary AI tax-advisor tools hallucinated specific tax regulations or misinterpreted IRS codes, leading to significant financial penalties for their clients.
In these instances, the “error” is the failure of the professional to catch the machine’s hallucination before it reached the client. E&O policies are now being tested to see how they handle these automated professional failures.
The Subrogation Question: Who is Ultimately at Fault?
Assuming a D&O or E&O claim is covered and paid by an insurer, a critical legal question emerges: Can the insurer subrogate against the provider of the AI services?
If a consulting firm’s E&O carrier pays a claim because an AI tool hallucinated a market forecast that caused a client to lose millions, does that insurer then have the right to sue the tech company that developed the underlying model? This introduces a complex web of “End User License Agreements” (EULAs), liability caps, and the “black box” problem of proving causation in algorithmic reasoning.
This opens a massive new frontier in insurance law—one that shifts the focus from the user of the tool to the architect of the tool.
Citations
Mata v. Avianca, Inc. – Official Court Order (PDF via Berkeley Law)
Massachusetts Board of Bar Overseers (BBO) – Public Reprimand No. 2025-2
JD Supra: Lawyers Sanctioned Over AI-Hallucinated Citations
IARDC Report: The Fallout of AI Hallucinations in Court Filings (PDF) – Cites the database tracking over 700 global AI-hallucination cases.
Professional Note 
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