VMG Business Advisory PLLC

About Connor T. Godfrey

Connor Godfrey is the founder and principal attorney of VMG Business Advisory, PLLC, where he provides pragmatic legal counsel across a wide range of complex corporate and transactional matters. He combines legal, financial, and operational experience to advise startups, funds, investors, and established companies through each stage of growth and investment.

Connor currently serves as General Counsel for a nuclear reactor technology company, overseeing regulatory, transactional, and operational legal matters in a highly specialized sector. In addition, he acts as outside counsel to an array of businesses, ranging from early-stage startups to well-established enterprises, including consulting firms, maritime shipping companies, educational institutions, and senior care organizations.

His prior legal experience includes practicing corporate law at Harter Secrest & Emery LLP and Lippes Mathias LLP, where he served a diverse range of clients, primarily in the PE&VC and professional services entity spaces. Before entering legal practice, Connor worked as a financial analyst in the portfolio management and banking sectors, bringing valuable financial analysis and deal execution experience to his legal advisory work.

Connor holds a Bachelor of Science in Finance from Fordham University’s Gabelli School of Business and a Juris Doctor from the University at Buffalo School of Law. His practice emphasizes efficient, targeted legal solutions designed to advance client objectives with clarity and precision.

Connor T. Godfrey

About the Name: VMG

“VMG” — Velocity Made Good — is a term drawn from sailboat racing, where it denotes speed made toward the ultimate goal, not simply maximum raw speed. In racing, a boat might travel slower through the water but more directly toward the mark, making better progress than a faster boat heading off-course.

This reflects the philosophy of VMG Business Advisory: legal counsel focused on efficiently advancing a client’s true objectives rather than maximizing activity or complexity.