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Artificial Intelligence Expert Witnesses

Litigation involving artificial intelligence increasingly arises across patent, trade secret, and commercial disputes as companies race to develop and deploy machine learning, data science, and automation technologies. Technology companies, enterprises deploying AI systems, and their competitors often disagree over whether a machine learning model or algorithm infringes a patent, whether proprietary training data or model architecture was misappropriated, or whether an AI system performed as represented in a commercial agreement. Because AI systems combine novel mathematical methods with rapidly evolving industry practice, these disputes frequently turn on technical questions that fall well outside conventional legal or business experience. An AI expert witness helps translate the underlying computer science into terms a court can evaluate when determining infringement, misappropriation, or performance.

Expert analysis in artificial intelligence matters typically involves reviewing model architecture, training methodology, and algorithmic design against the technical claims at issue, whether in a patent, trade secret, or breach-of-contract dispute. Experts can assess whether an accused system practices a patented method, whether a model's design reflects the unauthorized use of proprietary data or techniques, or whether an AI product's performance meets specifications set out in a commercial agreement. This analysis speaks directly to liability and causation, helping counsel determine whether a technical failure or similarity resulted from independent development or improper use of protected technology, and it supports damages calculations tied to lost licensing revenue or competitive harm. Where an opposing expert's technical characterization of a model is contested, a qualified AI expert can identify flaws in that analysis to sharpen rebuttal strategy.

Because artificial intelligence spans disciplines from machine learning to robotics to natural language processing, the right expert needs experience specific to the technical question at issue. Round Table Group's network includes computer scientists who have worked with organizations such as NASA, Lockheed-Martin, and IBM, specialists in machine learning and multiagent systems who have published on reinforcement learning and game theory, and researchers focused on knowledge representation and pattern recognition. Drawing on more than 75,000 expert searches for litigators, we help attorneys match a case's precise AI subfield with an expert whose credentials will hold up under scrutiny. Let us help you find the right artificial intelligence expert for your case by calling us at (202) 908-4500.

Kinds of Cases We Work On

Round Table Group helps our clients find a wide variety of Artificial Intelligence expert witnesses for cases like:

01

AI startup acquisition due diligence fraud

A large enterprise software company paid a substantial sum to acquire an AI startup, then sued the founders after discovering the model accuracy benchmarks presented during diligence had been generated on a curated test set that excluded the harder real-world query categories the product actually handled in production. An AI and machine learning expert reviewed the startup's model evaluation logs and reconstructed accuracy metrics using the full production query distribution rather than the curated benchmark set. The expert found the model's real-world accuracy ran meaningfully below the figures represented in the data room, with the gap concentrated in exactly the query categories the curated test set had excluded. That finding supported the buyer's fraud claim and anchored the damages figure used in the eventual settlement.
02

AI vendor performance guarantee dispute

A logistics company sued its AI vendor for failing to meet the contracted demand-forecasting accuracy guarantee that had been a central selling point of their multi-year, substantial licensing agreement. An AI and machine learning expert independently evaluated the model's forecast outputs against actual demand over the contract period, benchmarking the results against the specific accuracy metric and threshold defined in the agreement. The expert found the model's forecasts had missed the contracted accuracy threshold in a majority of the measured periods, with performance notably worse during the demand spikes the contract specifically called out as a use case. That benchmarking analysis supported the logistics company's breach of contract claim and was central to the settlement, which included a partial refund of licensing fees.
03

Proprietary model architecture misappropriation

An AI company sued a competitor and several departing machine learning engineers, alleging they had taken proprietary model architecture details and training techniques when they left to launch a competing product with strikingly similar capabilities within under a year. An AI and machine learning expert compared the technical architecture disclosed in the competitor's patent filings and technical documentation against the plaintiff's internal design documents, and analyzed output behavior patterns from both models on a standardized set of test prompts. The expert found several distinctive, non-obvious architectural choices in the competitor's model that closely mirrored idiosyncratic design decisions documented in the plaintiff's internal notebooks, choices unlikely to have been independently derived within the observed development timeline. That technical comparison was influential in the court's decision to grant a preliminary injunction limiting further commercialization of the competing model pending trial.
04

Training data licensing breach dispute

A specialized data licensing company sued an AI developer, alleging the developer had used a licensed dataset to train a commercial foundation model well beyond the research-only scope the license agreement permitted. An AI and machine learning expert reviewed the developer's training pipeline logs and data provenance records to determine which datasets had actually been incorporated into the commercially deployed model versus earlier research-only checkpoints. The expert found the licensed dataset had, in fact, been included in the training run that produced the commercially released model, contrary to the developer's claim that it had only ever been used in an earlier, unreleased research version. That finding supported the data licensor's breach of contract claim and was central to the settlement, which included a substantial licensing fee for the commercial use.
05

API terms of service and model distillation dispute

An AI platform provider sued an enterprise customer, alleging the customer had systematically queried the platform's API at scale specifically to generate training data for a competing, smaller model in violation of the platform's terms of service prohibiting use of outputs to train competing models. An AI and machine learning expert analyzed the customer's API query logs and compared the competing model's output behavior and error patterns against the plaintiff's model on a standardized evaluation set. The expert found the query patterns were inconsistent with genuine end-user application traffic and instead matched the systematic, broad-coverage sampling pattern characteristic of dataset generation, while the competing model's outputs showed behavioral fingerprints closely resembling the plaintiff's model on edge cases. That combined finding supported the platform provider's breach of contract claim and led to a settlement including a licensing arrangement for continued use.
06

Algorithmic credit underwriting negligence dispute

A regional bank sued its AI underwriting vendor after the vendor's loan-decisioning model approved a wave of loans that defaulted at a rate far above what the vendor had represented the model's risk calibration would produce, resulting in substantial losses. An AI and machine learning expert reviewed the vendor's model validation and backtesting documentation against the actual loan performance data and against standard model risk management practices for credit decisioning systems. The expert found the vendor's backtesting had relied on a historical dataset that predated a significant shift in the bank's target borrower population, a mismatch the vendor's own documentation should have flagged as a calibration risk. That finding supported the bank's negligence claim and contributed to a settlement covering a substantial share of the default-related losses.
07

AI chatbot hallucination business harm dispute

A software company sued its AI vendor after the vendor's customer-service chatbot, deployed on the software company's website, repeatedly provided customers with incorrect pricing and refund commitments that the company felt obligated to honor, costing the company significantly over a few months. An AI and machine learning expert evaluated the chatbot's hallucination rate on pricing and policy questions using a representative sample of the actual conversation logs, and compared the vendor's guardrail implementation against the specific accuracy safeguards described in the sales and contracting materials. The expert found the chatbot's error rate on pricing-related queries ran well above what would be expected given the guardrails the vendor had represented were in place, and that a specific safeguard described in the contract had never actually been implemented in the deployed configuration. That finding supported the software company's breach of contract claim and was significant in the settlement.
08

AI joint venture dissolution dispute

Two companies that had jointly funded development of an industry-specific AI diagnostic tool ended up in litigation when the non-managing partner accused the managing partner, which controlled the engineering team, of quietly repurposing the jointly developed model's core technology for a separate, wholly owned product line. An AI and machine learning expert reviewed the technical lineage of both products' underlying models, comparing training data sources, model checkpoints, and architecture evolution documented in the managing partner's internal repositories. The expert found the separate product's model had been initialized from a checkpoint of the jointly developed model roughly midway through its development, rather than being built independently as the managing partner had represented. That finding supported the non-managing partner's breach of fiduciary duty claim and was reflected in the valuation used for its buyout.
09

Computer vision defect allocation dispute

An autonomous equipment manufacturer sued its computer vision component supplier after a fleet-wide malfunction, traced to the supplier's object-detection model, caused equipment to misclassify obstacles in a way that triggered a costly recall and retrofit program. An AI and machine learning expert reviewed the vision model's training data composition and validation testing against the operating conditions specified in the supply agreement. The expert found the model's training data significantly underrepresented low-light operating conditions relative to the usage profile the supply agreement specified, and that the supplier's own validation testing had never evaluated performance under those conditions before certifying the model for delivery. That finding supported the manufacturer's breach of contract claim and was central to the settlement covering the recall and retrofit costs.
10

AI-generated content ownership dispute

A marketing agency sued the AI content generation vendor it had used to produce a major ad campaign, after the vendor claimed retained ownership rights over the generated creative assets and demanded additional licensing fees for the agency's continued commercial use across new markets. An AI and machine learning expert reviewed the vendor's model architecture and generation process to assess the degree to which the specific outputs reflected the agency's detailed creative prompts and iterative direction versus the model's own autonomous stylistic choices. The expert found the final assets incorporated extensive, specific creative direction from the agency across dozens of iterative refinement rounds, with the model functioning primarily as an execution tool rather than an independent creative source. That characterization supported the agency's ownership claim under the terms of the vendor's own service agreement and was significant in the settlement, which confirmed the agency's unrestricted ownership.

Here are a few of our favorite Artificial Intelligence Expert Witnesses:

California Artificial Intelligence, Robotic Expert #2762

I have 40 years of experience, and specialize in the field of computer software with specific knowledge in the areas of artificial intelligence, internet-based systems and software business issues. I have published on such topics as technology transfer, expert systems and the practical utility of artificial intelligence. I have testified 9 times on topics such as patent invalidity, patent infringement and inequitable conduct.

 

Texas Artificial Intelligence, Plannin Expert #5746

I have 20 years of experience, and specialize in the field of artificial intelligence with specific knowledge in the areas of machine learning, robotics and multiagent learning. I have published on such topics as e-commerce, game theory and reinforcement learning.

 

North Carolina Artificial Intelligence Expert #14661

I have 30 years of experience, and specialize in the field of intelligent computing with specific knowledge in the area of advanced analytic. I have published on such topics as neurocomputing and intelligent agents.

 

Artificial Intelligence Expert #16393

I have 15 years of experience in the field of computer science, with specific knowledge of programming, virtual worlds and data mining. I have published on such topics as Weblog mining, applications of artificial intelligence algorithms, and locations and vehicle routing problems.

 

Artificial Intelligence Expert #16520

I have 20 years of experience in the field of computer science, with specific knowledge of artificial intelligence (AI), modeling and simulation (M&S), and robotics. I have published on such topics as AI, M&S and robotics.

 

Your Case Deserves The Best Artificial Intelligence Expert Witnesses

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The right expert witnesses and consulting experts can make your case. That’s why we have spent so many hours over the past quarter century making sure our clients have just the right expert team — whether one expert or many, early-stage advice or expert reports and testimony. Across over 50,000 expert search assignments, we have honed a unique, customized approach to identifying, analyzing and connecting with expert talent so you can focus on winning your case.

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New Jersey Artificial Intelligence Expert #16932

I have 20 years of experience, and specialize in the field of computer and cognitive science with specific knowledge in the areas of artificial intelligence, language understanding and learning. I have published on such topics as text mining, social networks and learning.

 

New York Artificial Intelligence Expert #18097

I have 7 years of experience, and specialize in the field of religion, science and technology with specific knowledge in the areas of robotics and artificial intelligence, online computer gaming and biotechnology. I have published on such topics as robotics and artificial intelligence, popular science and scientific progress and experimentation.

 

California Artificial Intelligence Expert #18268

I have 25 years of experience in the field of computer science, with specific knowledge of knowledge management, artificial intelligence, and human-computer interaction. I have published on such topics as learning styles and computer interaction, neural networks for logic and reasoning, and representation and organization of knowledge with computers.

 

Michigan Artificial Intelligence Expert #19577

I have 22 years of experience in the field of computer science, with specific knowledge of artificial intelligence, assistive technology and adaptive interfaces. I have published on such topics as assistive technology for people with cognitive impairment, temporal reasoning, and scheduling and adaptive interfaces.

 

Oregon Artificial Intelligence Expert #21431

I have 20 years of experience in the field of computer science, with specific knowledge of artificial intelligence, machine learning and complex systems. I have published on such topics as genetic algorithms, cellular automata and analogy-making.

 

Artificial Intelligence Expert #23909

I have 20 years of experience, and specialize in the field of computer science with specific knowledge in the areas of mechanical engineering, crystallography and artificial intelligence. I have published on such topics as tolerances, product life cycle management and graph theoretical analysis of crystal structures.

 

Florida Artificial Intelligence, Web Expert #24983

I have 25 years of experience in the field of computer science, with specific knowledge of artificial intelligence, software and Web applications, and information security. I have published 75 papers.

 

Delaware Artificial Intelligence Expert #34787

I have 10 years of experience and specialize in the field of software systems, with specific knowledge of compilers, artificial intelligence and architecture. I have published on such topics as compilers, architecture and tuning of systems. I have testified on compilers, FPGA and operating systems.

 

California Artificial Intelligence, Network Expert #20737

I have 26 years of experience, and specialize in the field of computer science with specific knowledge in the areas of face recognition, neural networks and facial expression recognition. I have published on such topics as neural networks for face recognition, visual expertise, and visual salience. I am a cognitive scientist in a computer science department. Our research focuses on biologically-inspired algorithms (also know as “brain-style computation”) to recognize images of faces and objects. This has led to state-of-the-art face recognition systems.

 

Put Our Artificial Intelligence Expert Network to Work for You

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Our huge network of experts – eminent university professors and practitioners who have achieved renown as thought leaders in their fields – combined with unparalleled research capabilities puts the experts you need at your disposal when and where you need them.

If you’re a litigator or general counsel, we want to put this network to work for you and your clients. Let us know how we can help by calling us at (202) 908-4500 or filling out the form on this page. We’re so confident you’ll love what we do that unless you retain an expert we present there’s no charge!

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Questions Attorneys Ask About Artificial Intelligence Expert Witnesses:

An AI expert is typically retained when a case turns on a technical question involving machine learning, algorithmic design, or automated systems, such as patent infringement claims involving an AI method, trade secret misappropriation of training data or model architecture, or breach-of-contract disputes over AI system performance. Counsel often engages an expert early to assess whether the underlying technical theory holds up before committing to a litigation strategy.
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