Artificial Intelligence Expert Witness
We provide AI expert witness testimony for litigation involving artificial intelligence systems, data science methodologies, and intelligent automation. AI disputes frequently center on algorithm originality, model performance claims, training data practices, or the scope of AI-related patent claims. We analyze source code, model architectures, training pipelines, and technical documentation to provide defensible opinions on infringement, trade secret misappropriation, and breach of contract claims.
Common Disputes We Handle
Artificial Intelligence Patent Disputes Infringement and invalidity analysis for patents covering LLM and neural network architectures, training methodologies, inference systems, and AI-driven features. Source code review, claim chart preparation, and expert reports..
AI Trade Secret Misappropriation Evaluation of proprietary algorithms, model architectures, training data pipelines, and development artifacts to assess misappropriation or independent development of AI systems.
AI Software Contract Disputes Analysis of AI system deliverables, model performance against contractual specifications, development process quality, and compliance with agreed-upon acceptance criteria for breach of contract and warranty claims.
Computer Vision and Image Processing Expert testimony on machine vision systems, image recognition, object detection, autonomous navigation, and sensor fusion technologies in patent and trade secret disputes.
Representative Engagements
- AI Startup Trade Secret Misappropriation Retained by a litigation finance investor to evaluate the merits of a trade secret misappropriation claim involving an early employee of an AI startup who developed similar algorithms at a subsequent employer.
- Social Media Analytics Platform Retained to conduct a technology stack evaluation for the acquisition of a social media analytics platform by a large open-source CMS company. Analyzed in-house technology versus open-source and third-party components, assessed copyleft license exposure, cybersecurity vulnerabilities, scalability, and AI/ML synergies.
- AI Strategy for Software Vendor Retained by a medium-sized software vendor to analyze opportunities for incorporating AI into their product offerings. Conducted executive education sessions, facilitated a strategy workshop, identified tactical AI initiatives, and guided pilot projects through implementation.
Our Experts
Artificial Intelligence Expert Witness
Background
This expert holds a Ph.D. in Computer Science with a specialization in artificial intelligence from a public research university, focusing on graph-based clustering and dialogue-based interactive systems. They also earned an MBA with a focus on venture capital and entrepreneurship from a top-tier private university. 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. 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. They have provided trial testimony, depositions, and authored expert reports, serving both plaintiffs and defendants.
Expertise
- NLP, chatbots, graph-based clustering, ML model architectures, neural networks
- Python, C++, Java, JavaScript, SDLC, SQA, Agile
- Patent claim analysis (ITC, PTAB, USDC), trade secret evaluation, DMCA, copyright infringement
- Deep learning, Tensorflow, Pytorch, Coffe, Pylearn, Caffe
- SKLearn, Numpy, SciPy, Pandas, Keras
- Hyper parameter tuning
- Cloud frameworks (Google ML Engine, Azure ML, Amazon ML, OSS packages)
Data Science Expert Witness
Background
This expert holds a Ph.D. in computational and statistical methods and statistical physics from a prominent European university. They have served for over two decades at a leading U.S. research university, currently as tenured associate professor in applied mathematics and statistics, with secondary appointments in computer science and physics. Their research applies data science and artificial intelligence methods across scientific domains. They have expert witness experience in patent litigation involving major technology companies, including trial testimony and deposition experience in U.S. district court.
Expertise
- Bayesian inference, computational statistics, probabilistic modeling, statistical physics, low-dimensional embeddings
- Data mining, big data analysis, ML, hybrid statistical AI, GPU-based image processing
- Probabilistic cross-identification, photometric redshifts, catalog data fusion, probabilistic record linkage
- Medical data science, survey astronomy, faint object detection
Computer Vision Expert Witness
Background
This expert holds a doctoral degree in electrical engineering and computer science from a top-tier university, with specializations in parallelizing compilers, object systems for computational throughput, and scalable technology for large-scale seamless displays involving camera feedback systems. They have cofounded startups commercializing camera-based navigation 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. They have provided AI consultancy to Fortune 500 clients in electronics and consumer goods, and worked as a research assistant at an elite university AI lab on camera-based systems and wavelet decomposition for signal classification.
Expertise
- Machine vision, computer vision, image processing, auto-calibration, structured light systems, immersive displays
- AI, neural networks, ML, object recognition, wavelet decomposition, signal classification
- VLIW architectures, parallelization, floating-point pipelines, embedded systems
- Probabilistic systems, database-backed AI systems, big data processing
- Python, C++, C, Java, JavaScript, Scheme, LISP
Smart Home and Smart Device Expert Witness
Background
This expert holds a Ph.D. in Computer Science from a top public research university, specializing in analogical planning. They have 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. Their work encompasses smart environments, biomedical informatics, and digital health, with patents in data-driven activity prediction, multi-entity activity recognition, and smart environment automation.
Expertise
- AI/ML, behavior modeling, activity recognition, anomaly detection, domain adaptation, time series
- Deep learning, genetic algorithms, data mining, planning and decision theory, robotics
- Sensor data processing, multi-person activity tracking, knowledge transfer
- Smart environments, IoT, home automation, cognitive assessment
- Biomedical informatics, digital health, clinical data analysis
Speak with an Expert about Your Case
- Monday – Friday
- 8am – 6pm PT
- 11am – 9pm ET
Discuss your Case
- info@sidespingroup.com
- (800) 510-6844
- Monday – Friday
- 8am – 6pm PT
- 11am – 9pm ET
Lead Expert
