Artificial Intelligence, GenAI, LLMs

In the rapidly evolving landscape of artificial intelligence, legal disputes require specialized expertise to address complex technical issues. AI expert witness services provide attorneys with authoritative, evidence-based analysis tailored to cases involving machine learning, copyright infringement, algorithmic bias, intellectual property, or AI system failures. With extensive experience in AI development and deployment, specialists deliver clear, compelling testimony that translates intricate AI concepts into persuasive arguments, equipping legal teams to handle sophisticated cases with confidence.

A team of seasoned AI professionals offers attorneys precise insights across domains like neural networks, natural language processing, and autonomous systems. Services include thorough evaluations of AI-related incidents, assessments of compliance with ethical and regulatory standards, and defensible expert opinions that withstand scrutiny. Whether addressing disputes over AI-driven decisions, patent infringements, or system malfunctions, these services provide objective, court-ready expertise to strengthen legal strategies and achieve favorable outcomes.

How We Help Clients

Technology Commercialization

Startups and corporations looking to gain a competitive edge by commercializing machine learning innovation turn to us for help. We advise on high-level machine learning strategy, data strategy, team structuring, outsourcing, as well as low-level algorithm strategy.

Due Diligence

Technical due diligence for investment, mergers, and acquisitions is critical in high-stakes transactions. With the popularity of Artificial intelligence and machine learning, many organizations falsely claim to have such advanced technologies. We can confirm.

Expert Witness

With the increased importance of artificial intelligence in the commercial sector, there is an increase in patent filings and patent infringement lawsuits. We provide expert witness services for litigation support for patent infringement and trade secret misappropriation.

Insights

Case Studies

Trade Secret Misappropriation

An early employee of an AI startup joined a leading technology company, where he developed similar algorithms to the ones he worked on at the startup. His original employer brought a trade secret misappropriation action and sought litigation financing. A leading litigation finance investor hired us to evaluate the merits of the case in support of their investment decision. Our AI expert witness evaluated the technology, separated the novel aspects from prior approaches, interviewed experts and attorneys involved with the case, analyzed all declarations submitted by either side, and reviewed related publications in the field.

Due Diligence

The maker of a large open-source CMS was considering acquiring a social media analytics platform, and enlisted our help to conduct a thorough evaluation of the target company’s technology stack. Our AI experts analyzed the target’s technology stack to separate the in-house technology from open-source and 3rd party software. We looked for synergies between the offerings of the startup and the acquiring companies and made recommendations on future AI and machine learning applications and features.

In addition, we analyzed the target’s open-source software exposure to copyleft licenses and cybersecurity vulnerability, we reviewed the software stack for scalability, extensibility, proper design principles, maintainability, evaluated their documentation, and software development life cycle practices.

Artificial Intelligence Strategy

A medium-sized software vendor retained us to analyze opportunities to enhance their offerings by incorporating AI. We worked with the senior leadership to identify the company’s long-term goals and educate them about AI in general. We hosted a strategy workshop where we worked side-by-side with the leadership on how their vertical might be disrupted by machine learning in the future. Then, we worked with mid-level management to identify specific tactical initiatives and test the waters with pilot projects. We are engaged in the long run to help guide these new initiatives to full fruition.

Our Experts

Artificial Intelligence Expert Witness

This AI expert witness holds a Ph.D. in computer science with a specialization in artificial intelligence from a public research university, focusing on topics like graph-based clustering and dialogue-based interactive systems (chatbots). They also earned an MBA with a focus on venture capital and entrepreneurship from a top-tier private university known for its business and technology programs. Their professional history includes roles as a software engineer at a multinational telecommunications equipment manufacturer, founder and executive of multiple AI startups, assistant professor of computer science at a state university, and roles at several venture capital firms specializing in early-stage technology investments.

This expert’s technical expertise spans machine learning and artificial intelligence, including neural networks, deep learning, network analysis, clustering, supervised learning, reinforcement learning, generative AI, and hardware accelerators. Their experience in smart TV and streaming covers platforms like Android-based systems, streaming devices, and associated ecosystems. Additional areas include software analysis encompassing computer architecture, cloud computing, web applications, internet computing, graph mining, and genetic programming.

As a testifying expert witness, this expert has opined in U.S. District Courts, the International Trade Commission (ITC), Patent Trial and Appeal Board (PTAB), arbitration proceedings, and state courts on issues including patent infringement, invalidity, breach of contract, trade secret misappropriation, and copyright infringement (e.g., under DMCA). They have provided trial testimony, depositions, and authored expert reports, serving both plaintiffs and defendants.

Data Science and Statistical Methods Expert Witness

This expert holds a Ph.D. in computational, statistical methods, and statistical physics from a prominent European university. Their career at a leading U.S. research university spans over two decades. They currently serve as tenured associate professor in applied mathematics and statistics, with secondary appointments in computer science and physics. They apply their expertise to research in data science and artificial intelligence.

This expert’s technical expertise includes Bayesian inference, computational statistics, low-dimensional embeddings, data-intensive parallel computing, scientific databases, data science in medicine, and survey astronomy. They are proficient in probabilistic cross-identification, photometric redshifts, catalog data fusion, probabilistic record linkage, federating astronomy archives, faint object detection, statistical modeling, data mining, big data analysis, machine learning, hybrid statistical AI for medical applications, GPU-based image processing, and human-machine data exploration, supported by patents and extensive publications.

This expert has expert witness experience in patent litigation involving patent infringement cases against major technology companies. They also have trial testimony and deposition experience in U.S. district court.

Computer Vision Expert Witness

This expert holds a bachelor’s, master’s, and doctoral degree in electrical engineering and computer science from a top-tier university, with specializations in parallelizing compilers based on partial evaluation for filling floating-point pipelines, object systems for computational throughput with abstraction, and scalable technology for large-scale seamless displays involving camera feedback systems. This expert has cofounded startups commercializing camera-based navigation alternatives using visual cues for localization licensed from a U.S. military research lab, and auto-calibration solutions for large displays that became industry standards in simulation with major military clients involving machine vision. Additionally, this expert provided consultancy services on AI to Fortune 500 clients in electronics and consumer goods. They worked as a research assistant at an elite university AI lab on camera-based systems and wavelet decomposition for signal classification at national labs.

This expert witness possesses technical expertise in machine vision, artificial intelligence, image processing, structured light-based camera systems for immersive environments, auto-calibration of tiled displays, VLIW computer architectures, parallelization for floating-point pipelines, and handling big data in computational contexts. Proficiency extends to probabilistic systems, database-backed systems with AI components, and programming in Scheme, LISP, Python, C++, C, Java, and JavaScript.

This expert has extensive experience over 10 years in intellectual property rights, patents, and trade secrets in federal and state courts, having authored dozens of expert witness reports, participated in over 10 depositions, and delivered testimony in several trials.

Smart Home and Smart Device Expert Witness

This expert holds a PhD in computer science from a top public research university, specializing in analogical planning.  Professionally, this expert has held chaired positions in computer science departments at research universities, served as chief research officer at a health technology startup, and worked as a research associate at a Fortune 500 multinational technology company and a national aerospace research center.

This expert witness possesses extensive expertise in artificial intelligence and machine learning, with specific strengths in behavior modeling, activity recognition, anomaly detection, domain adaptation, time series classification, and sensor data processing. Their work encompasses deep network techniques, neural networks, genetic algorithms, data mining, planning and decision theory, parallel algorithms for AI, and robotics, often applied to smart environments, biomedical informatics, and digital health. They have developed methods for multi-person activity tracking, knowledge transfer in adaptive systems, cognitive assessment using environmental sensors, and privacy-preserving mining of clinical data, supported by patents in data-driven activity prediction, multi-entity activity recognition, and smart environment automation.

Health Technology AI Expert Witness

This expert holds a Ph.D. in computer science with an emphasis in artificial intelligence from a top public research university, with a dissertation on adaptive control systems. In professional roles, this expert has served as a research professor and director of research centers at public universities, contributing to advancements in smart environments and health technology. Additionally, this expert founded and leads a technology startup specializing in adaptive intelligence solutions, applying AI to real-world applications in health and security.

This AI expert witness possesses extensive expertise in artificial intelligence, machine learning, data mining, graph theory, and algorithms, with applications spanning security, bioinformatics, epigenetics, and smart environments. Key areas include anomaly detection, incremental SVM-based classification in dynamic streaming networks, hybrid deep learning for classification of low-volume high-dimensional data, and predicting DNA regions using deep learning approaches. Further specialties encompass sensor network configuration for maximizing application performance, activity recognition in smart homes using multimodal fusion, natural language generation from graphs, and open-world AI, including novelty detection. This AI expert has authored books on advanced methods for knowledge discovery from complex data, edited special issues on open-world AI and data mining in pervasive environments, and published over 70 journal articles on topics like automated cognitive health assessment from sensor data, and insider threat detection using graph-based methods.

Image Processing AI Expert Witness

This expert holds a Ph.D. in computer vision and artificial intelligence from a top computer science program, along with an M.S. degree in electrical engineering from a technical university. Their academic career included research positions at a top U.S. university, focusing on electrical engineering, nonlinear systems, computer vision, artificial intelligence, machine learning, and neuromorphic computing. In the commercial sector, this expert works with imaging systems for industrial, scientific, and aerospace applications, where they have developed high-performance embedded solutions for various platforms, including handheld devices, vehicles, satellites, and unmanned aerial vehicles.

This AI expert witness possesses extensive expertise in artificial intelligence, particularly in neural networks, and machine learning applications for image processing, including solution of partial differential equations, image decomposition, analysis, segmentation, and compression. Their work encompasses spatial-temporal algorithms, adaptive image processing for real-time enhancement, automatic target recognition, sensor fusion, multispectral imaging, and vision-based machine learning for object recognition and identification. Additional technical proficiencies include digital signal processing for imaging, multi-sensor systems, and thermal imaging.

This expert has served as an expert witness in patent infringement litigation, providing testimony in depositions on topics such as video stream compositing, infringement, and invalidity in cases involving major technology companies.

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