Inteligencia artificial (IA)

Artificial Intelligence (AI) Disputes

J.S. Held amplía su experiencia en disputas financieras al ámbito del derecho de familia con la adquisición de CMM, LLP

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Technical clarity, financial calculus, and courtroom credibility in litigation and disputes involving artificial intelligence.

Artificial intelligence systems are fundamentally different from traditional technology. Litigation matters involving AI present unique evidentiary, causation, and damages challenges that require specialized expertise beyond what conventional technology experts, forensic accountants, or intellectual property (IP) boutiques can provide.

J.S. Held offers integrated expertise to address the unique challenges of AI-related litigation, combining technical, financial, and legal analysis to provide comprehensive support throughout all litigation phases. This approach is essential due to the complex, interdependent nature of AI systems as technical artifacts, economic assets, and evidentiary tools.

AI Disputes Require Integrated Expertise

AI disputes uniquely require integrated expertise because AI systems exist at the intersection of three inseparable domains: they are technical artifacts whose behavior must be explained, economic assets whose value must be quantified, and evidentiary tools whose reliability must be legally defended.

Unlike traditional disputes where technical, financial, and legal questions can be addressed sequentially or independently, AI disputes present challenges where these dimensions are fundamentally interdependent and cannot be disentangled.

Technical Clarity

Digital forensics and AI incident reconstruction: system logs, prompts, model versions, integration telemetry, and failure mode identification.

Financial Calculus

Economic damages quantification, assessment of Fair Use factors, and IP valuation: lost profits, unjust enrichment, reasonable royalties, market development, and related harms analysis.

Courtroom Credibility

Five decades of testimony across hundreds of matters before state, federal, and international courts and arbitration venues on six continents, with expertise ranging from copyright fair use, royalty and lost profits, and IP disputes to commercial litigation, construction claims, and forensic accounting.

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What Makes AI Disputes Technically Distinct?

Disputes that center on AI technologies present a fundamentally different set of technical challenges than traditional software or systems litigation. At J.S. Held, we bring deep, cross-disciplinary expertise to help legal teams navigate the unique complexities of AI systems and agentic implementation of Artificial Intelligence.

Certain questions must be examined in advance of any legal action, including these real-world activities that can be performed autonomously by functioning models:

1. Does the model communicate with external data sources (e.g. web scraping, document loading or email summarization) or does it operate on self-contained and independent data sources?

2. Does the model perform tasks autonomously (e.g. answering email or generating chat)?

3. Does the model have permission to execute code? 

If the answer to one or more of these questions is “yes”, there is inherent risk that must be calculated and addressed.

 

Our Technical Forensic Approach

All technical causation opinions are derived using reproducible forensic methodology including system log reconstruction, prompt replay analysis, model version comparison, training data provenance auditing, integration telemetry review, and cross-validation against known failure modes (hallucination, drift, integration error, bias). Methodology is aligned with OWASP LLM Top 10 security standards and designed to withstand Daubert challenge.

Representative AI Technology Categories in Litigation

Disputes can arise across a wide range of legal contexts depending on the various AI technology categories involved, including:

  • Generative AI
    Litigation Context: Copyright, training data, content licensing disputes
     
  • Computer Vision
    Litigation Context: Facial recognition, biometric privacy, surveillance
     
  • Natural Language Processing
    Litigation Context: Chatbot failures, translation, voice assistants
     
  • General AI Applications
    Litigation Context: Broad deployment failures, governance issues
     
  • Machine Learning / Predictive AI
    Litigation Context: Hiring bias, credit scoring, insurance underwriting
     
  • Robótica
    Litigation Context: Autonomous vehicles, industrial safety, product liability
     
  • Agentic AI
    Litigation Context: Autonomous decision-making, delegation features

Para obtener información adicional sobre nuestros servicios y para ponerse en contacto con el experto indicado de nuestro equipo global, comuníquese con:

James E. Malackowski
Ver biografía
James E. Malackowski
Director de propiedad intelectual | Líder de la práctica de Propiedad Intelectual
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