Expert testimony and forensic analysis for artificial intelligence litigation
When litigation involves artificial intelligence, you need an expert witness who understands both the technology and the courtroom. Joe Sremack is an AI expert witness who provides forensic analysis, expert reports, and testimony for cases involving AI systems, machine learning models, large language models, and algorithmic decision-making.
Joe Sremack is an artificial intelligence expert witness with over 20 years of experience in digital forensics and data analytics. He has conducted more than 500 investigations across 50+ countries and provides expert testimony in state and federal courts, international arbitration, and regulatory proceedings. He is the author of AI Forensics: Investigation and Analysis of Artificial Intelligence Systems (Chapman and Hall/CRC, 2026), the leading reference on investigating AI systems in legal and regulatory contexts.
An AI expert witness bridges the gap between technical complexity and legal standards. Joe provides analysis and testimony across the full lifecycle of AI-related disputes:
Comprehensive expert reports that translate complex AI concepts into clear, defensible opinions for judges and juries. Testimony in depositions, hearings, and trial.
Technical examination of AI systems including training data, model architecture, decision-making processes, and output behavior. Learn more about AI forensics services.
Identification and measurement of disparate impact, discriminatory patterns, and unfair treatment in AI-driven decisions across hiring, lending, healthcare, and other domains.
Independent evaluation of what an AI system can and cannot do, using industry benchmarks and forensic testing to verify or challenge vendor claims.
Technical guidance on AI-related discovery requests, document review strategy, and identification of relevant technical evidence.
Assessment of AI systems against emerging regulatory frameworks including the EU AI Act, state-level AI legislation, and industry-specific requirements.
Joe serves as an AI expert witness across a broad range of case types where artificial intelligence is central to the dispute:
AI patent infringement, AI-generated invention disputes, machine learning model IP theft, and trade secret misappropriation involving AI algorithms
Theft of proprietary AI models, training data, algorithms, and machine learning techniques between competitors or by departing employees
AI-driven discrimination in hiring, lending, insurance, criminal justice, and housing. Disparate impact analysis and fairness auditing
AI system failures causing harm, autonomous vehicle accidents, medical AI misdiagnosis, and defective AI product claims
False claims about AI capabilities, AI-generated deepfakes and synthetic media, and AI system performance misrepresentation
AI compliance with the EU AI Act, state AI regulations, FDA requirements for medical AI, and SEC guidance on AI-related disclosures
AI vendor performance disputes, SLA violations involving AI systems, and failure to deliver promised AI capabilities
AI systems that violate privacy regulations, unauthorized use of personal data in AI training, and AI-related GDPR/CCPA disputes
Large-scale AI harms affecting multiple parties, including AI-driven financial losses, employment discrimination, and consumer protection violations
Joe's expertise spans the full range of artificial intelligence technologies that appear in litigation:
ChatGPT, GPT-4/5, Claude, Llama, Gemini, and other generative text systems
Image, video, and audio generation including DALL-E, Midjourney, Stable Diffusion, and Sora
Facial recognition, object detection, medical imaging AI, and visual classification systems
Risk scoring, fraud detection, recommendation engines, and automated decision-making algorithms
Retrieval-augmented generation, autonomous agents, and MCP server architectures
Self-driving vehicles, robotics, drone AI, and automated control systems
Joe's approach to AI expert witness work combines rigorous forensic methodology with deep technical expertise:
Defensible collection of AI artifacts including model weights, training data, configuration files, deployment logs, and system outputs
Systematic testing of AI systems both with and without access to underlying source code and model internals
Independent evaluation using industry-standard AI benchmarks to objectively assess capabilities and limitations
Translation of complex AI concepts into language that judges, juries, and legal teams can understand and act on
AI Forensics: Investigation and Analysis of Artificial Intelligence Systems (Chapman and Hall/CRC, 2026) — the leading reference on investigating AI systems in litigation
20+ years in digital forensics and data analytics. 500+ investigations across 50+ countries. Expert testimony in state and federal courts, international arbitration, and regulatory proceedings.
M.S. in Computer Science (North Carolina State University). B.A. in Computer Science and Philosophy (The College of Wooster).
CISA (Certified Information Systems Auditor), CFE (Certified Fraud Examiner), CIPP/US (Certified Information Privacy Professional)
Advisory Partner and leader of the Forensic Data Analytics team at CBIZ. Co-Executive Editor, IAPP AIGP Textbook.
Contact Joe to discuss how an AI expert witness can support your litigation, investigation, or regulatory matter.
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