J.S. Held acquiert Element Forensic Engineering, renforçant ainsi ses capacités dans le domaine de l'assurance pour les pertes matérielles importantes et les sinistres touchant les entreprises de taille moyenne partout au Canada
En savoir plusJ.S. Held helps clients investigate, quantify, and resolve claims and disputes centered on artificial intelligence (AI) technologies and broader AI adoption – spanning infrastructure, operations, and use in insurance.
The complex, interdependent nature of AI systems and associated physical infrastructure presents a dispute profile spanning multiple layers, from the built environment through the operational ecosystem to the technology stack. No single-discipline firm can address the full scope. J.S. Held is uniquely positioned to deliver integrated technical and financial expertise across all dimensions.
AI-related matters may involve model behavior, system integrations, digital evidence, physical infrastructure, equipment performance, environmental and construction conditions, human reliance, governance controls, insurance questions, intellectual property issues, and economic damages.
Whether AI is the central issue in a dispute, contributes to the cause or severity of a loss, or drives demand for the infrastructure supporting AI deployment, stakeholders must establish what happened, how impacts propagated across interconnected systems, who bears responsibility, and what financial exposure resulted.
J.S. Held brings integrated technical and financial expertise into one coordinated team to provide clients with a single-source, courtroom-tested solution for AI-related claims and litigation.
How J.S. Held Delivers Value in AI-Related Insurance Claims and Legal Disputes
AI-related claims and disputes often span technical systems, human decision-making, physical infrastructure, contractual obligations, intellectual property, and financial damages, creating a chain of proof that can be difficult to establish and even harder to defend. Determining where AI entered the workflow, what the system did, how people or connected systems responded, what evidence remains, and how those facts affected loss, liability, delay, business interruption, or damages requires an integrated approach that extends beyond traditional claims investigation or dispute analysis.
J.S. Held helps clients establish that chain of proof by combining technical, financial, forensic, engineering, insurance, and intellectual property expertise within a single coordinated engagement. Rather than relying on fragmented opinions from multiple parties that clients or counsel must reconcile themselves, we connect technical findings, physical evidence, and financial consequences to help determine what happened, assess causation and responsibility, quantify impacts, and provide a defensible basis for claims resolution, litigation, arbitration, and risk management decisions.
AI disputes involve technology that must be explained, economic value that must be measured, and evidence that must be defended. J.S. Held supports litigation and disputes involving generative AI, machine learning, computer vision, natural language processing, agentic AI, robotics, AI governance, training data, model behavior, licensing markets, intellectual property, and damages.
Our experts analyze system logs, prompts, model versions, integration telemetry, training data provenance, failure modes, market impact, lost profits, unjust enrichment, reasonable royalties, IP value, and related harms. The result is technical clarity, financial analysis, and courtroom-ready support for counsel and clients dealing with AI systems that do not fit traditional software-dispute playbooks.
AI infrastructure disputes emerge where advanced computing systems intersect with the physical infrastructure required to support them. Because AI operations depend on highly interconnected facilities, equipment, power systems, environmental controls, construction activities, and digital technologies, disruptions often extend beyond a single failure and can create complex questions of causation, responsibility, financial impact, and recovery.
J.S. Held helps clients understand what happened, how impacts propagated across connected systems, and the resulting operational and financial consequences. By integrating technical, engineering, construction, environmental, and financial expertise, we provide the clarity needed to evaluate losses, quantify damages, and resolve disputes arising from the development, operation, and performance of AI infrastructure.
AI is increasingly embedded within the systems, processes, and decisions that shape how losses occur and how organizations respond to them. As a result, AI may influence causation, severity, duration, liability, recovery, or damages even when it is not identified as a factor at first notice of loss.
J.S. Held helps insurers, counsel, and other stakeholders determine whether AI influenced the event at issue, assess its role alongside human and system actions, and evaluate the resulting operational and financial consequences. Our multidisciplinary teams provide the technical, forensic, engineering, and financial analyses needed to support claim evaluation, dispute resolution, and risk management decisions.
AI disputes present unique technical, financial, and evidentiary challenges that often cannot be addressed independently. Unlike traditional technology matters, AI systems function as technical artifacts whose behavior must be explained, economic assets whose value must be quantified, and evidentiary tools whose reliability may need to be defended in litigation.
AI-related disputes may require analysis of system logs, prompts, model versions, integration telemetry, training data provenance, and other technical evidence. These materials can help establish how a system functioned, identify potential failure modes, and support conclusions regarding causation and damages.
Depending on the matter, damages analyses may include lost profits, unjust enrichment, reasonable royalties, intellectual property valuation, market development impacts, and other forms of economic harm.
An AI infrastructure dispute is a claim or contested matter involving the facilities, equipment, power, cooling, construction, digital systems, or financial impacts associated with AI computing operations. These matters may arise from physical damage, equipment failure, contamination, temperature excursions, power disruption, construction delay, operational interruption, or disagreements over restoration and replacement, among other incidents. The defining characteristic is not simply the presence of AI hardware. It is the interaction among the systems required to construct, power, cool, connect, and operate the computing environment.
AI-focused facilities combine highly configurable computing equipment, greater rack power density, specialized cooling, significant electrical demand, and supporting infrastructure that must operate as an integrated system. A cooling or power event can therefore affect equipment condition and operations at the same time, while a construction or procurement problem may delay commissioning or the planned start of service and result in financial losses and knock-on effects. These dependencies require technical and financial questions to be evaluated together rather than through unrelated analyses.
J.S. Held combines deep, integrated technical and financial expertise to investigate the cause and origin of AI infrastructure failures, delays, and disruptions; evaluate impacts across interconnected infrastructure layers - from the physical infrastructure through the operational environment to the technology stack; and quantify business interruption, delays, extra expense, lost profits, economic damages, contractual liabilities, and other financial consequences. The firm delivers independent analysis, expert reports, and testimony in litigation, arbitration, mediation, and other dispute-resolution proceedings.
An AI-related insurance claim is a loss in which an AI-enabled tool, automated decision, model output, intelligent product, agent, or AI-supported process may have contributed to causation, severity, duration, liability, or damages. The claim may arise under property, business interruption, casualty, product liability, professional liability, financial lines, cyber, privacy, or multiple coverage pathways. It may not be identified as AI-related until the underlying workflow is reconstructed.
J.S. Held can help reconstruct the AI-human-system pathway, investigate the triggering event and contributing failures, preserve and analyze digital and physical evidence, assess causation and responsibility, quantify business interruption and other damages, and present independent findings for claims resolution, subrogation and recovery, litigation, arbitration, mediation, and expert testimony.
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Assureur IARD : intelligence artificielle (IA), risques, gouvernance et contrôles
Conseil technique en validation indépendante de modèles
Perte d'un centre de données d'infrastructure d'IA
Incident lié à une surchauffe dans un centre de données
