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- 2012 Year Founded
- 9 Office Locations
- 3 Nations Represented
- 35+ Experts Available
- 800+ Cases Investigated
- 600+ Clients Engaged
Devan Holley specializes in expert analysis for patent infringement and trade secret cases. She has a CS degree and expertise in programming, cybersecurity, digital forensics, and more. She has contributed to high-profile litigation involving complex technical issues in electronics and digital technologies, including cases before the USITC and various U.S. District Courts.
Minh Do is a computer scientist, software engineer, and entrepreneur, backed by a robust educational background. Experienced in building and operating scalable, high-availability, distributed infrastructures, and familiar with the latest ML/AI technologies, Minh is a valuable asset at the intersection of computer science and legal contexts.
Dr. George Edwards has more than twenty years of experience as a scientist, engineer, and technical consultant to academic research labs, government agencies, and technology companies, and he has served as a software expert in various litigation contexts, including more than fifty patent infringement cases.
Isaac Pflaum is an IT litigation consultant and expert witness specializing in software source code review, patent, and copyright issues. Experienced in a wide range of technologies, he is also an attorney and registered patent agent with a background in financial services and software development.
Andrew Holm-Hansen has worked in Health IT for 15 years, and led several development teams during his career. As an Enterprise Architect, he distilled complex information that cut across legal, staffing, and technology boundaries, to provide decision-makers with actionable information.
Shahzad Ahmad has a deep background in healthcare IT as a technical project manager and product owner. His 8+ years of experience includes implementation of EHR systems across the nation's top healthcare institutions, owning the SDLC of medical devices, as well as bioengineering research of early detection technologies for debilitating diseases.