New York City Metropolitan Area
I am a legal technology product leader and former AmLaw 100 attorney with experience spanning legal practice, legal research platforms, data products, and AI-enabled workflow systems. I began my career practicing intellectual property and technology litigation in New York and New Jersey, including at WilmerHale, before moving into legal technology and product leadership. At Bloomberg Law, I helped design and scale research infrastructure and legal data products, including Dockets and Breaking Complaints, working at the intersection of legal analysis, product strategy, and large-scale data systems. Since then, I have led and advised product initiatives across legal technology, regulated services, and AI-enabled platforms, focusing on how technology can improve professional workflows without compromising judgment, accuracy, or accountability. My experience spans legal research and data platforms, workflow systems, and AI-enabled products designed to support complex legal and professional operations. Across these roles, my focus has remained consistent: helping organizations make practical, grounded decisions about what should be automated, what should remain human-driven, and how complex professional systems can be translated into scalable products. I hold a J.D., magna cum laude, from Seton Hall Law School and a B.F.A. from NYU Tisch School of the Arts.
• Helping build and operationalize an AI-native legal technology platform from 0→1, focused on voice AI for law firms, including conversational design, prompt engineering, intake workflows, product requirements, testing, lead qualification logic, and coordination of development efforts across the Lawbot.ai platform. • Independent legal technology and AI consultant with experience spanning legal practice, legal research platforms, workflow automation, conversational AI, and AI-enabled product operations. Advise startups and legal service organizations on product strategy, AI adoption, intake and workflow systems, operational design, analytics, and scaling technology products from early-stage concept through implementation.
• Led 0→1 platform design in a complex institutional environment, aligning legal, scientific, and administrative stakeholders around governance and workflow decisions • Delivered validated requirements, interactive prototype, and demo front-end for implementation; initiative paused prior to full engineering build phase
• Set product and AI strategy across two B2B subsidiaries, advising executives on automation tradeoffs and product direction ahead of acquisition by MAP Communications • Built the product management and analytics function from scratch • Implemented internal QA and performance analytics tooling, improving agent performance and client outcomes • Led internal and external education on AI-driven workflows through webinars, conference presentations (MTMP), and content initiatives
• Directed an international data team for Ajax Analytics, working directly with the CEO to extract and analyze 1B+ data points from air quality reports supporting regulatory decision-making for the state of Colorado • Evaluated and improved generative AI legal outputs as a LegalTech AI Analyst through A/B testing, dataset curation, and “golden answer” development (Counsel AI Corp. d/b/a Harvey AI) • Assessed the RECAP product and produced a roadmap to reach parity with leading paid docket research platforms • Advised legal tech founders on positioning, product strategy, and go-to-market, including workflow design and business planning
• Led integration of James Publishing content into the Casetext research platform, expanding product coverage and revenue opportunities, while evaluating data, content, and acquisition targets to guide platform strategy