Data Forensics Expert Witness Joe Sremack

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Joseph C. Sremack is a Partner at Resolution Economics in Los Angeles specializing in forensic technology, data analytics, and source code analysis for litigation and regulatory investigations. He is the author of AI Forensics: Investigation and Analysis of Artificial Intelligence Systems (Chapman & Hall, 2026) and Big Data Forensics (Packt, 2015).

With more than 20 years of experience, Mr. Sremack has served as a consulting and testifying expert in hundreds of engagements before state and federal courts, international tribunals, and regulatory bodies. Testimony includes ChatPM v. Microsoft (Abu Dhabi Commercial Case No. 1220/2025), ZL Technologies, Inc. v. Splitbyte Inc. (Cal. Super. Ct., Santa Clara), and Blackbelt Smartphone Defense Ltd. v. Phonecheck Solutions, LLC (C.D. Cal.).

He conducts forensic examinations of artificial intelligence and machine learning systems, including training-data provenance, model behavior testing, and inference-pipeline review. He assesses source code across numerous programming languages and data from ERP, cloud, and proprietary database platforms in matters involving billions of records.

Mr. Sremack holds an M.S. in Computer Science from North Carolina State University and multiple certifications, including the CISA, CFE, CIPP/US, and Microsoft Certified Azure AI Engineer Associate.

Areas of analysis and testimony:

- AI forensics (training data, model behavior, inference pipelines, IP theft, AI harm)

- AI system design, compliance, and bias measurement

- Source code and software analysis (trade secrets, patents, open source licensing)

- Data privacy (web tracking and pixels, PII/PHI disclosure, anonymization)

- Forensic data collection (enterprise, cloud, mobile, social media)

- Forensic data analysis and data science (algorithms, fraud analytics)

- Enterprise system investigations and failure analysis

- Database design, controls, and use

- Geospatial, GPS, and mobile location data

Areas of Expertise:

Artificial Intelligence
Data Analysis and Data Science
Software Analysis
Forensic Collection
Source Code Analysis
Trade Secrets

Digital Forensics
Enterprise IT Systems
Software Engineering
Geospatial and GPS Data
Database Technology
Systems Controls

• Joseph C. Sremack Curriculum Vitae

• Sremack_ResEcon_CV

Big Data Forensics – Learning Hadoop Investigations

Joe Sremack

This book is meant for statisticians and forensic analysts with basic knowledge of digital forensics. They do not need to know Big Data Forensics. If you are an IT professional, law enforcement professional, legal professional, or a student interested in Big Data and forensics, this book is the perfect hands-on guide for learning how to conduct Hadoop forensic investigations. Each topic and step in the forensic process is described in accessible language.

Related areas of expertise

Artificial Intelligence / Machine Learning (AI / ML) Business Systems Integration / Management Computers (General) Digital Communication Electronic Discovery / Evidence ERP / Enterprise Resource Planning Labor / Management Relations Software

Business Systems Engineering Computer / Digital Forensics Data Analytics / Data Visualization Dynamic Content Management Employment - Human Resources Information and Internet Technology Programming /Software / Modeling Wireless Communication / Technology (GPS, Cellular, Mobile)