News | January 30, 2023
Adds global experience in data-driven disputes and investigations; data analytics and automation; data security and privacy compliance; and data risk advisory.
Mr. Vint focuses on litigation, compliance, and investigation projects for global organizations. He has significant experience working in the U.S., U.K., E.U., and Asia Pacific.
Jim Vint focuses on litigation, compliance, and investigation projects for global organizations. He has significant experience working in the U.S., U.K., E.U., and Asia Pacific. His areas of expertise spans a variety of industries and covers commercial disputes, Anti Money Laundering, Sanctions matters, Anti Bribery and Corruption, Cyber Crime, Cartel and Antitrust matters and Tax Evasion related projects.
Mr. Vint has been retained in numerous matters as a testifying expert related to data identification, collection, advanced data analysis and review techniques as well as internet data transmissions, the discovery of structure data, data migrations, data flow, platform assessments, and other data driven disputes. He has experience in presenting to various regulators and courts in the US and UK.
Mr. Vint provides risk mitigation advisory services and transactional data analyses for his corporate clients. Solutions include leveraging the application of Artificial Intelligence, Machine Learning and Robot Processing Automation, specifically within the legal and investigatory community. He has broad experience in IT due diligence, risk control evaluation, system performance improvement, and data quality and governance. He is a frequent author on emerging data sources and solutions on managing these in legal proceedings. Mr. Vint has been recognized as a leading expert by Who’s Who Legal for several years in the data and legal investigations categories.
Adds global experience in data-driven disputes and investigations; data analytics and automation; data security and privacy compliance; and data risk advisory.
Algorithmic Pricing, Antitrust Risk, and the Role of Economic Analysis
Recent DOJ settlements and new California and New York legislation are clarifying antitrust risks around algorithmic pricing. This article examines key enforcement themes, high-risk forms of data sharing and information exchange, and the role of economic analysis in assessing algorithm design, adoption, competitive effects, and compliance risk.
Secretariat Authors Examine Asset Tracing and Recovery Trends for China Parties in Chambers Guide
In Chambers Global Practice Guides: International Fraud & Asset Tracing 2026, Greg Hallahan, Amanda Rasmussen and Kristine Kwok examine trends in debt recovery involving China parties. The chapter explores how creditors are combining domestic enforcement, cross-border asset tracing and overseas judgment enforcement to improve recovery prospects.