Strategic and pragmatic Legal Counsel with a strong foundation in commercial law, privacy law, regulatory compliance, and partner ecosystem support. Proven ability to negotiate and draft complex commercial agreements, including SaaS, licensing, and partnership deals. Experienced in building scalable legal processes, managing contract lifecycles, and advising cross-functional teams on IP, data privacy, and AI governance. Adept at aligning legal strategies with business objectives in dynamic, tech-driven environments. Admitted to the Minnesota State Bar with a J.D. from Mitchell Hamline School of Law.
Negotiated and drafted complicated and high-stakes commercial agreements, including SaaS, DPAs, and confidentiality with strong attention to detail while under pressure from tight deadlines
Advised and educated non-legal team members, customers, and shareholders on legal issues regarding AI compliance and governance, data privacy, security, and risk mitigation, ensuring compliance with evolving regulatory developments to consumer privacy regulations such as TCPA, CCPA, CPRA, and other non-privacy regulations
Spearheaded the creation of standardized contract documentation and workflows, reducing agreement turnaround time, improving overall efficiency in legal operations across the company through implementation of contract management (CLM) and AI review technology
Communicated with cross-functional teams to deliver practical legal guidance for strategic partnerships and ecosystem growth, aligning legal frameworks with enterprise-wide objectives
Assessed agreements for potential liabilities and adherence to regulatory requirements
Drafted master service agreements and statements of work to support business goals
Tested electronic and physical security of retained data through systems and physical server penetration testing, mail and data retention systems audits, and review of on-site security measures
Trained machine learning processes and automation to improve Westlaw database and automated retrieved results by leveraging legal and technical expertise
Enhanced machine learning capabilities through rigorous testing and application of legal concepts
Improved search parameters integrity by reviewing search results by collaborating direct management correspondence with management and team members
Contributed to product development by mapping legal taxonomies and refining classification logic for machine learning-based research functionality