Theo Ai provides objective information to legal teams for faster case resolution.
Join the waitlistTheo Ai was founded in 2024 to create the world’s most accurate legal prediction engine. The company was incubated at both Stanford University’s StartX and the University of Chicago ANVC, with research partnerships at Harvard University and Caltech. The founding team includes founders of multiple companies, five lawyers, and AI engineers who have worked at big tech and major financial institutions.
Tiago is a 5x CTO/founder with 20 years of experience across fintech, retail, and biotech. He has worked in Brazil, Finland, China, Germany and the USA.
Most recently, he co-founded and served as the CTO of Deep Origin, a platform helping biotech scientists accelerate disease research. Tiago built innovative IP, shaped company culture, and developed advanced AI/ML techniques across several industries. Throughout his career, Tiago has scaled global engineering teams from zero to 100+ employees, with a focus on finding engineers who not only build exceptional products, but also understand the impact of their work.
Outside of work, Tiago is an ultrarunner, boardgamer, and aspiring improv performer.
Tiago Luchini
Co-founder and CTO
Patrick is a 3x CEO/co-founder, ex-Googler, and UCLA Law MLS graduate. He was named to Forbes 30 Under 30, and has worked on a social impact initiative twice nominated for the Nobel Peace Prize.
Prior to founding Theo Ai, Patrick served as CEO of Catalog, which raised $3.1M to help brands streamline visual content production. He also founded Kip Solutions, a social media consulting firm for social causes, which was acquired by Post+Beam in 2013. Kip Solutions was named one of Inc. Magazine’s Coolest College Startups and a Top 50 Most Innovative Student-Run Company by the Kairos Society.
Outside of work, Patrick is an amateur triathlete and is known for brewing exotic coffees.
Patrick Ip
Co-founder and CEO
Jay is a seasoned product executive and former M&A attorney at Apple. He was a founding team member at Rocket Lawyer and later served as COO for SAP’s Analytics & AI business. With two decades of experience at the intersection of law and enterprise technology, Jay brings deep expertise in building and scaling innovative products.
He is a Fellow at CodeX (the Stanford Center for Legal Informatics) and a frequent guest lecturer at Stanford University, where he speaks on product leadership and the impact of generative AI. At Theo, Jay leads product strategy and development, helping shape AI-native tools for legal teams and general counsel.
Outside of work, Jay enjoys playing basketball with his daughter, traveling to different activities with his son, and working out on Future.
Jay Mandal
Chief Product Officer
Rob is a former attorney with over 25 years of experience in legal sales, marketing, and business development. He has worked across the legal ecosystem, including sales roles at LexisNexis, where he helped law firms and legal departments adopt innovative research and technology solutions. Over the past 12 years, Rob has specialized in litigation finance, most recently founding REMO Litigation Finance and serving as SVP at Burford Capital.
At Theo, Rob leads partnerships and growth strategy, helping legal teams and funders unlock the value of predictive AI.
Outside of work, Rob enjoys a good round of golf (working on breaking 90), music trivia and spending time with his family.
Robert Martorana
Head of Partnerships
Sarah is a Merit Scholar, having graduated with an LLM from Georgetown and an LLB from Queen Mary University London. She has spent several years working with attorneys and judges, handling everything from high-volume civil cases to cross-jurisdictional commercial fraud litigation, achieving multi-million dollar orders. Sarah is inspired by translating legal art into sophisticated technology and helping shape the litigation space into a future-looking industry. She has studied and worked in Singapore, London, and D.C., and is now based in Seattle.
Outside of work, Sarah enjoys experimenting in the kitchen and exploring cities on foot.
Sarah Johansson
Head of Legal Product
Alan is a former Wall Street structured derivatives director with experience at Morgan Stanley, Lehman Brothers, Barclays, and UBS. He has since built AI solutions across industries, blending deep quantitative expertise with a passion for innovation. Alan holds a B.A. in Mathematics and Economics from Cornell University. At Theo, he leads AI strategy and model development, focusing on scalable infrastructure and predictive performance.
Outside of work, Alan enjoys hiking, full self-driving, and contemplating AGI.
Alan Pogrebinschi
Head of AI
Ariel is a former research scientist at Fuel Cycle, where she helped develop user research tools for Fortune 500 companies across tech, finance, and consumer sectors. She brings a strong foundation in market research and product insight, with a focus on turning qualitative and quantitative data into actionable intelligence. Ariel holds a B.S. in Marketing from California State University, Long Beach. At Theo, she leads litigation and market research, helping to shape product direction and identify emerging trends in legal data.
Outside work, Ariel is a graphic designer/3D artist for major record labels, music festivals and is an avid skateboarder, once featured in Vogue.
Ariel Chavez
Market and Data Researcher
Justin is a poet, scientist, performing artist, and philosopher from the Detroit area. He trained at the University of Chicago, earning BAs in Physics and English and an MA in Philosophy, and teaching academic writing for the Social Sciences. Prior to joining Theo, he helped develop flagship LLM products for a mega-cap tech company as a linguist and prompt engineer.
At Theo, Justin engineers prompts and data structures for LLMs and generative ai agents. His work is to instruct and guide the models at the foundation of Theo Ai.
Justin’s interests include metaphysics, road trips, backpacking, baseball, basketball, video games, martial arts, and cultivating Ginkgo biloba.
Justin Krivda
Prompt and Data Engineer
Nakul is an AI engineer at Theo, with a strong foundation in data engineering and building production-grade AI workflows. He holds an M.S. in Data Science from Purdue University.
Before joining Theo, Nakul thrived in fast-paced startups, where he built scalable data pipelines and integrated IoT sensor systems. He excels at transforming raw data into intelligent, real-time insights and is skilled at bridging the gap between backend infrastructure and AI applications. At Theo, Nakul is responsible for developing our production-grade AI pipelines, connecting data sources, optimizing model workflows, and ensuring smooth deployment.
Outside of work, Nakul is an avid gamer who also closely follows and invests in the stock market.
Nakul Gupta
AI Engineer
Brian is an AI engineer with a background in foundational software areas such as front-end and back-end development. He hails from Argentina where he pursues a Masters degree from the University of Buenos Aires.
Before joining Theo, Brian helped bring several digital startups from the ground up to fruition. He thrives at the boundary where managing state in distributed systems causes challenges. His passion for problem-solving and quality, well-rounded practices coupled with an eye for detail and an understanding of devops principles round up his skills.
Outside of work, Brian can often be seen performing in local musical theater productions.
Brian Meier
Full Stack Developer
Tiago is a 5x CTO/founder with 20 years of experience across fintech, retail, and biotech. He has worked in Brazil, Finland, China, Germany and the USA.
Most recently, he co-founded and served as the CTO of Deep Origin, a platform helping biotech scientists accelerate disease research. Tiago built innovative IP, shaped company culture, and developed advanced AI/ML techniques across several industries. Throughout his career, Tiago has scaled global engineering teams from zero to 100+ employees, with a focus on finding engineers who not only build exceptional products, but also understand the impact of their work.
Outside of work, Tiago is an ultrarunner, boardgamer, and aspiring improv performer.
Tiago Luchini
Co-founder and CTO
Patrick is a 3x CEO/co-founder, ex-Googler, and UCLA Law MLS graduate. He was named to Forbes 30 Under 30, and has worked on a social impact initiative twice nominated for the Nobel Peace Prize.
Prior to founding Theo Ai, Patrick served as CEO of Catalog, which raised $3.1M to help brands streamline visual content production. He also founded Kip Solutions, a social media consulting firm for social causes, which was acquired by Post+Beam in 2013. Kip Solutions was named one of Inc. Magazine’s Coolest College Startups and a Top 50 Most Innovative Student-Run Company by the Kairos Society.
Outside of work, Patrick is an amateur triathlete and is known for brewing exotic coffees.
Patrick Ip
Co-founder and CEO
Jay is a seasoned product executive and former M&A attorney at Apple. He was a founding team member at Rocket Lawyer and later served as COO for SAP’s Analytics & AI business. With two decades of experience at the intersection of law and enterprise technology, Jay brings deep expertise in building and scaling innovative products.
He is a Fellow at CodeX (the Stanford Center for Legal Informatics) and a frequent guest lecturer at Stanford University, where he speaks on product leadership and the impact of generative AI. At Theo, Jay leads product strategy and development, helping shape AI-native tools for legal teams and general counsel.
Outside of work, Jay enjoys playing basketball with his daughter, traveling to different activities with his son, and working out on Future.
Jay Mandal
Chief Product Officer
Rob is a former attorney with over 25 years of experience in legal sales, marketing, and business development. He has worked across the legal ecosystem, including sales roles at LexisNexis, where he helped law firms and legal departments adopt innovative research and technology solutions. Over the past 12 years, Rob has specialized in litigation finance, most recently founding REMO Litigation Finance and serving as SVP at Burford Capital.
At Theo, Rob leads partnerships and growth strategy, helping legal teams and funders unlock the value of predictive AI.
Outside of work, Rob enjoys a good round of golf (working on breaking 90), music trivia and spending time with his family.
Robert Martorana
Head of Partnerships
Sarah is a Merit Scholar, having graduated with an LLM from Georgetown and an LLB from Queen Mary University London. She has spent several years working with attorneys and judges, handling everything from high-volume civil cases to cross-jurisdictional commercial fraud litigation, achieving multi-million dollar orders. Sarah is inspired by translating legal art into sophisticated technology and helping shape the litigation space into a future-looking industry. She has studied and worked in Singapore, London, and D.C., and is now based in Seattle.
Outside of work, Sarah enjoys experimenting in the kitchen and exploring cities on foot.
Sarah Johansson
Head of Legal Product
Alan is a former Wall Street structured derivatives director with experience at Morgan Stanley, Lehman Brothers, Barclays, and UBS. He has since built AI solutions across industries, blending deep quantitative expertise with a passion for innovation. Alan holds a B.A. in Mathematics and Economics from Cornell University. At Theo, he leads AI strategy and model development, focusing on scalable infrastructure and predictive performance.
Outside of work, Alan enjoys hiking, full self-driving, and contemplating AGI.
Alan Pogrebinschi
Head of AI
Ariel is a former research scientist at Fuel Cycle, where she helped develop user research tools for Fortune 500 companies across tech, finance, and consumer sectors. She brings a strong foundation in market research and product insight, with a focus on turning qualitative and quantitative data into actionable intelligence. Ariel holds a B.S. in Marketing from California State University, Long Beach. At Theo, she leads litigation and market research, helping to shape product direction and identify emerging trends in legal data.
Outside work, Ariel is a graphic designer/3D artist for major record labels, music festivals and is an avid skateboarder, once featured in Vogue.
Ariel Chavez
Market and Data Researcher
Justin is a poet, scientist, performing artist, and philosopher from the Detroit area. He trained at the University of Chicago, earning BAs in Physics and English and an MA in Philosophy, and teaching academic writing for the Social Sciences. Prior to joining Theo, he helped develop flagship LLM products for a mega-cap tech company as a linguist and prompt engineer.
At Theo, Justin engineers prompts and data structures for LLMs and generative ai agents. His work is to instruct and guide the models at the foundation of Theo Ai.
Justin’s interests include metaphysics, road trips, backpacking, baseball, basketball, video games, martial arts, and cultivating Ginkgo biloba.
Justin Krivda
Prompt and Data Engineer
Nakul is an AI engineer at Theo, with a strong foundation in data engineering and building production-grade AI workflows. He holds an M.S. in Data Science from Purdue University.
Before joining Theo, Nakul thrived in fast-paced startups, where he built scalable data pipelines and integrated IoT sensor systems. He excels at transforming raw data into intelligent, real-time insights and is skilled at bridging the gap between backend infrastructure and AI applications. At Theo, Nakul is responsible for developing our production-grade AI pipelines, connecting data sources, optimizing model workflows, and ensuring smooth deployment.
Outside of work, Nakul is an avid gamer who also closely follows and invests in the stock market.
Nakul Gupta
AI Engineer
Brian is an AI engineer with a background in foundational software areas such as front-end and back-end development. He hails from Argentina where he pursues a Masters degree from the University of Buenos Aires.
Before joining Theo, Brian helped bring several digital startups from the ground up to fruition. He thrives at the boundary where managing state in distributed systems causes challenges. His passion for problem-solving and quality, well-rounded practices coupled with an eye for detail and an understanding of devops principles round up his skills.
Outside of work, Brian can often be seen performing in local musical theater productions.
Brian Meier
Full Stack Developer
We actively seek feedback and listen to others. The best ideas can come from anywhere, not just the top.
Every innovation is grounded in a customer need. We focus on solving real problems, moving fast—but never at the cost of trust or quality.
We debate ideas respectfully and move forward together. We chart a course and take action purposefully.
We treat every customer interaction as a chance to build trust. Success is measured by the impact we create for our users.
We ask questions that expand thinking and approach every problem with a learning mindset.
Dr. Alex Liu
Kosuke Imai
David Fox
Steve Sulmeyer
Michael Heafey
Jeff Christianson
Brian Liu