As artificial intelligence (AI) technologies continue to transform industries and redefine business operations, the legal system is grappling with a parallel increase in AI-related litigation. Over the past five years, such litigation has grown at a 56.5% compound annual growth rate (CAGR), with more than 350 cases filed to date. In 2025 alone, 84 new AI-focused lawsuits were initiated—marking a 35% increase over the previous year’s total of 62. This accelerating trend underscores a growing need for legal professionals to access specialized intelligence and strategic insight to address the increasingly complex and dynamic AI disputes landscape.
In response to this need, the J.S. Held Office of the Chief Intellectual Property Officer (CIPO) has introduced the AI Disputes Monitor, a dashboard resource designed to equip outside counsel, in-house legal teams, and risk professionals with actionable intelligence on AI-related litigation. Drawing from independent, publicly accessible data and enriched by expert analysis, the Monitor offers a structured view of case developments across AI technologies, market segments, and jurisdictions.
A Rapidly Growing AI Litigation Landscape
The increase in AI-related disputes is largely a US-centered phenomenon. An estimated 93% of all AI litigation cases have been filed in the United States, with a significant concentration in just three states: California, New York, and Illinois. In fact, roughly three-fifths of US AI-related lawsuits to date have been concentrated in those three jurisdictions. Although intellectual property (IP) issues such as generative AI copyright and patent disputes have received significant attention, approximately 69% of AI-related lawsuits address non-IP matters, highlighting the broader legal implications of AI technologies.
These include a broad array of legal challenges: for example, cases addressing the use of predictive analytics in criminal justice decisions, biometric privacy and surveillance (such as challenges to facial recognition systems), algorithmic bias in hiring or lending, product liability for autonomous vehicles and robots, and other emerging areas where AI technologies intersect with regulatory and civil law concerns. In short, AI is reshaping how businesses operate and how disputes arise, and the legal system is rapidly trying to keep pace.
The AI Disputes Monitor reflects our commitment to providing counsel with the strategic intelligence needed to advise clients effectively in this rapidly evolving space. Backed by J.S. Held’s deep technical, economic, and market expertise (developed through years of expert testimony in litigation), the Monitor offers rigorous data analysis that enables practitioners to anticipate trends, assess risk, and make more informed decisions in AI-related disputes. In other words, the tool is built not just on raw data, but also on the insights of experts who understand the nuances of technology.
Introducing the J.S. Held AI Disputes Monitor
The AI Disputes Monitor is a first-of-its-kind dashboard for legal professionals seeking to stay ahead of the curve in AI litigation. This informative resource continuously tracks new case developments across multiple dimensions – from the types of AI technologies involved, to the industry sectors and market segments affected, and the jurisdictions in which cases are being filed.
J.S. Held’s Monitor draws on data from independent, publicly accessible sources and combines these datasets with proprietary expert analysis by J.S. Held’s team. By aggregating and categorizing the latest court filings and decisions, the platform provides a structured view of the “who, what, and where” of AI disputes:
- Technology Categories: Cases are categorized across AI technology domains such as Machine Learning (ML)/Predictive AI, Computer Vision (CV), and Natural Language Processing (NLP). Notably, just three of these categories – ML, CV, and NLP – account for over half (52%) of all AI-related filings, underscoring the prevalence of disputes involving algorithms that learn from data, interpret images, or process human language. The Monitor helps users filter and examine litigation trends in each category, whether it’s generative AI-driven copyright cases, facial recognition privacy suits, or chatbot-related liability claims.
- Market Segments: The dashboard spans key industry segments to show where AI disputes are emerging across the economy. Legal teams can explore how AI is sparking litigation in sectors like healthcare, finance, and retail.
- Jurisdictions and Venues: The AI Disputes Monitor tracks cases by jurisdiction, including US federal and state courts and other international venues. It highlights geographic hot spots, enabling users to see where plaintiffs are filing AI-related claims.
From Raw Data to Strategic Insight for Lawyers
Beyond simply aggregating case counts, the real value of the AI Disputes Monitor lies in the strategic insights it delivers for attorneys. The dashboard’s expert-curated analysis allows legal teams to identify emerging litigation patterns, assess jurisdictional trends, and understand the implications for their clients and industries. In practice, this means a law firm can quickly discern, for example, if there’s a wave of new AI-related class actions in the financial services sector, or if certain courts are issuing notable rulings on AI issues.
Crucially, the Monitor’s analysis is enriched by J.S. Held’s multidisciplinary expertise. The company’s background in intellectual property, technology, finance, and regulatory consulting means that each data point is interpreted in context. Patterns in the litigation data are correlated with underlying technological trends and business impacts. This combination of data with expert insight enables lawyers to make more informed decisions about litigation and risk management in the AI arena. For instance, if a corporate legal team sees that biometric privacy lawsuits (often categorized under “Computer Vision” disputes) are on the rise in Illinois due to the state’s Biometric Information Privacy Act (BIPA), they can proactively assess their own company’s exposure to facial recognition or fingerprint-scanning technologies. If a law firm notices that courts in California are handling a disproportionate share of machine learning-related cases, they might examine how California judges are ruling on key issues like algorithmic liability or trade secrets in AI to better advise clients involved in similar disputes.
Strategic Value for Outside and In-House Counsel
With its focus on trends, venues, and the velocity of AI litigation, the AI Disputes Monitor is designed as a decision-support tool for legal professionals. Outside counsel can use the resource to perform early case assessments, develop forum strategies, and stay current on precedent-setting cases in AI law. In-house counsel and risk management professionals can leverage the Monitor to inform corporate risk assessments, compliance initiatives, and governance policies by understanding what types of AI-related disputes are emerging in their industry.
Expert Support Beyond the Dashboard
While the AI Disputes Monitor provides a comprehensive, self-directed view of litigation data, it is also supported by a broader analytical framework. Legal teams seeking to explore specific trends in greater depth can access additional expertise to interpret patterns and assess their relevance to particular industries or legal strategies. For example, a rise in AI bias litigation within the employment sector may prompt further analysis of compliance implications, while an uptick in autonomous vehicle product liability cases could inform risk assessments in the insurance domain. This combination of structured data and subject-matter insight enables legal professionals to move from observation to informed evaluation and response.
As AI is reshaping industries and the law simultaneously, having a tool to systematically track the trends, venues, and velocity of AI-related cases can make all the difference between being reactive and being ready.
