As artificial intelligence continues to reshape products, platforms, and decision-making, disputes involving AI systems have become increasingly technical and consequential. Litigation involving machine learning models, conversational systems, computer vision, and data-driven platforms often turns on how these technologies are designed, trained, evaluated, and deployed in practice.
DOAR represents senior researchers and practitioners from leading research institutions and industries who serve as artificial intelligence expert witnesses in matters involving the development, performance, and real-world use of AI systems. They understand the full technical lifecycle of modern AI, from model development and training through evaluation, deployment, and system integration across real-world products and platforms.
Our artificial intelligence experts provide clear, grounded testimony and analysis. Drawing on their experience as researchers, engineers, and interdisciplinary specialists, they help legal teams analyze alleged AI technical failures, evaluate AI system capabilities and limitations, and present complex AI technologies in terms that judges and juries can readily understand.
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We represent experts who are world-class academics and industry executives who were carefully selected for their knowledge, experience, and ability to communicate effectively.
Expertise in modern conversational AI systems, including large language models, chatbots, retrieval-augmented generation (RAG), prompting strategies, and grounding techniques that shape how AI systems generate and deliver responses.
Knowledge of speech recognition systems, audio signal processing, and digital signal processing (DSP), including how audio data is captured, processed, and interpreted by machine learning models.
Background in non-LLM AI approaches such as planning systems, optimization algorithms, and classical artificial intelligence methods used across industrial and research applications.
Experience with visual AI systems and generative models used for image analysis, synthesis, and pattern recognition across computer vision and non-text AI applications.
Experience with the infrastructure that supports AI development and deployment, including data pipelines, analytics platforms, distributed computing environments, and benchmarking methodologies used to evaluate system performance.
Research and applied expertise in AI safety, responsible AI development, and the psychological and behavioral impacts of AI systems, including perspectives from psychiatry and cognitive science.
Knowledge of the hardware and computing environments that power AI systems, including GPUs, accelerators, specialized AI chips, and large-scale computing infrastructure.
While demonstratives have become a staple of modern litigation, more graphics do not necessarily create a more persuasive case. The most effective demonstratives begin with a clear understanding of the “why” behind each visual and are tailored to the specific practice area, target audience, and venue.
Our new in-depth judge report, ITC ALJ Spotlight: Administrative Law Judge Cameron Elliot, features expanded data and analysis of ALJ Elliots's activity at this specialized venue.
A series of significant outcomes is reshaping social media addiction litigation and the arguments future plaintiffs may pursue. As these cases evolve, courts and juries will continue to confront difficult questions about foreseeable risks, platform safeguards, and causation.
Selecting the right FDA expert requires more than identifying someone familiar with the FDA, as disputes require a precise understanding of how the Agency operates. According to Jeremy Scholem, a Director at DOAR who manages expert engagements in complex litigation, the expert’s experience should correspond to the relevant Center, product, regulatory pathway, and period at issue. Read his thoughts on the formation of our Former FDA Expert Team.
DOAR is proud to sponsor ACI's 2nd Annual Pharma & Biotech Patent Litigation USA & Canada on October 14-16 in New York City.
Because AI encompasses a range of technologies and disciplines, the expertise needed will depend on the systems and technical questions at issue. Understanding those questions can be critical to identifying the right evidence, evaluating competing claims, and explaining complex technology to decision-makers.
As cryptocurrency markets evolve, regulatory proposals, tokenization, stablecoins, cross-network infrastructure, and AI-driven transactions are reshaping how digital assets are issued, transferred, and governed. To explore these changes, we asked members of DOAR’s Cryptocurrency Expert Team to share their perspectives on the forces shaping the market, the issues likely to drive future litigation, and the developments that could have the greatest long-term impact.
The next wave of AI litigation may not begin with a system that failed. It may begin with one that succeeded by pursuing its objective through actions no one intended or authorized.