Summary
Keenan Venuti is a CTO and co-founder with nine years building AI-first products across B2B SaaS, consumer platforms, and enterprise consulting, now leading Vector Legal (YC W26) to modernize startup legal services. He blends hands-on ML engineering—document OCR, semantic search, knowledge graphs, and recommender systems—with product-driven model deployment and feature-store discipline from roles at Ironclad, BARK, and Accenture. Known for shipping customer-centric legal AI solutions and pragmatic experimentation frameworks, he moves models from prototype to production while keeping UX and business needs aligned. His academic background in Psychology and Computer Science (Harvard) plus an MS in AI (Northwestern) gives him a rare mix of human-centered design instincts and rigorous ML foundations. Based in San Francisco, he favors building hybrid AI + legal tech experiences that translate complex legal language into actionable, searchable insights. An early practitioner of graph ML and QA-driven semantic search at scale, he often connects cognitive principles to practical model architectures.
9 years of coding experience
8 years of employment as a software developer
Gunn High School
Bachelor's degree Psychology & Computer Science, Bachelor's degree Psychology & Computer Science at Harvard University
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at Northwestern University