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Svetlana Kamyshanskaya Pantelic
Corporate Lawyer|Startup Advisor| Angel Investor Helping International Tech Companies and Startups with Expansion
Svetlana Kamyshanskaya Pantelic is a seasoned international business lawyer and startup mentor based in the San Francisco Bay Area. She is the founder of Primum Law Group, where she leverages her extensive legal and operational expertise to assist tech companies and startups in navigating international expansion. Her background includes significant experience in corporate law, project management, and cross-border business transactions, making her a valuable resource for entrepreneurs seeking to establish or grow their ventures in the U.S. and abroad.
Professional Background
Svetlana has a rich educational background, holding a Bachelor of Laws from the Volgograd Academy of Russian Ministry of Internal Affairs, an LLM from the University of California, Berkeley, and a Ph.D. in Law from Krasnodar State University. Her career spans over two decades, during which she has practiced law both in the U.S. and internationally, focusing on areas such as corporate governance, mergers and acquisitions, and immigration law.
In addition to her legal practice, Svetlana is recognized for her role as a startup advisor and angel investor, helping businesses align their goals with effective legal strategies. Her recent appointment as a Startup Mentor at Startupbootcamp reflects her commitment to fostering innovation and entrepreneurship within the startup ecosystem.123
Personal Insights
Svetlana's journey into law was inspired by her father's work during the Soviet Union's transition to a market economy, which instilled in her the importance of legal frameworks in supporting business growth. She emphasizes the need for a collaborative relationship between business owners and their legal advisors, akin to a partnership in ballroom dancing, where understanding and synergy lead to success.2
Her current focus includes advising clients in the rapidly evolving fields of artificial intelligence and machine learning, ensuring they remain compliant with corporate governance standards while maximizing their operational potential.12