Joe Sremack is a leading technology forensic examiner with more than two decades of expertise in complex data, software, and systems analysis for high-stakes litigation and regulatory matters. As Practice Leader of CBIZ's Forensic Data Analytics and Technology division, he has served as consulting expert and testifying witness in over 500 engagements spanning multi-jurisdictional disputes across state and federal courts, international arbitrations, and proceedings before major financial and trade regulatory bodies in more than fifty countries.

Mr. Sremack's technical expertise encompasses advanced data analytics, artificial intelligence system examination, proprietary source code analysis, and comprehensive IT infrastructure assessment. His work frequently involves intellectual property disputes, trade secret misappropriation claims, patent infringement cases, and complex commercial litigation requiring sophisticated technical analysis and expert testimony.

He is the published author of "Big Data Forensics" and the forthcoming "AI Forensics," establishing him as a recognized thought leader in emerging forensic technologies. Mr. Sremack regularly presents at major legal conferences and contributes authoritative commentary on artificial intelligence, forensic data analysis, and software examination methodologies for both legal and technical audiences.

His extensive cross-industry experience includes engagements for Fortune 500 corporations, government agencies, and international entities, providing critical technical expertise in matters involving substantial financial exposure and complex regulatory compliance issues.

Areas of expertise include:
• Forensic data collection (enterprise systems, cloud systems, social media)
• Forensic data analysis and data science (use of algorithms, pattern detection, fraud analysis)
• Source code and software system analysis (theft of trade secrets, use of open source code/licenses)
• Artificial intelligence forensics (theft of IP, AI harm, model development)
• Data privacy assessments (online tracking, data anonymization, unauthorized disclosure of PII/PHI)
• Enterprise system investigations and failure analysis (authenticating timestamps, system controls validation, explaining system operations)

His analysis of data and software is applicable to issues found in:
• Class action certification
• Software intellectual property disputes
• Labor and employment litigation
• Consumer privacy litigation relating to online tracking and PII/PHI issues
• Artificial intelligence design and use
• Commercial litigation involving large sets of data for fact development
• Electronic discovery where large, complex data systems are potentially responsive
• Neutral expert roles where questions are present relating to system operations and/or data accessibility