Analyze Corporate Structures in Seconds
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A group of recovering lawyers, data analysts and AI experts. This is what we believe.
Named for the dynamic tax ledger used by the Ottoman Empire, Deftr helps legal and professional service firms focus on high-level, strategic work by leveraging artificial intelligence to automate manual work. From tax law and IRS guidance to corporate structuring and financial regulations, we enable users to navigate legal complexity and understand its practical consequences intuitively, simply, and cheaply.
The company received a Y Combinator Fellowship in May 2016, and a Seal of Excellence from the European Commission in June 2016. Deftr is headquartered in Cambridge, MA, with offices in Oxford and London.
Co-Founder & CEO
Before co-founding Deftr, Matthew qualified as a barrister in the UK, with a focus on offshore structuring and tax planning. He was called to the Bar by Lincoln's Inn where he was a Lord Denning Scholar. He is a member of the International Tax Planning Association and is an Affiliate of the Society of Trusts and Estates Practitioners. Most recently he worked for a $1bn structured credit hedge fund in London.
He has a degree in Philosophy, Politics and Economics from the University of Oxford.
Co-Founder & CTO
Jacob is a data analyst who in the past has explored methods to detect and predict abusive tax shelters using math, computers and the like. He received his master's degree in Technology & Policy from the Massachusetts Institute of Technology in 2015, where his thesis Computer Aided Tax Avoidance Policy Analysis co-won the Best Thesis Award. He most recently worked for the MITRE corporation where he tried to find people defrauding Medicare and the IRS. His work on tax shelter detection has been mentioned in the New York Times, Boston Magazine, SF Chronicle and others.
In addition to his M.S. from MIT, he has a B.S. in Mathematics and a B.A. in Complex Economic Systems from the University of Michigan.
Content Strategy
Hilary is a lawyer and content strategist. She also explores how technology, artificial intelligence, and process improvement can impact the legal industry and is a fellow at CodeX—The Stanford Center for Legal Informatics. She contracted for Facebook as a content strategist for the Pages business product, and worked at Sterling Communications as a content and research specialist for Lecorpio, an IP management and analytics software company. Before content strategy, Hilary practiced estate planning law while working with a startup that helped estate planning lawyers collaborate and practice law more efficiently.
Hilary has a B.A. from UC Berkeley, a J.D./M.B.A. from Santa Clara University, and an LL.M. in tax from Golden Gate University.
Advisor
Una-May O'Reilly leads the AnyScale Learning for All (ALFA) group at the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. She has expertise in scalable machine learning, evolutionary algorithms and frameworks for large-scale, automated knowledge mining, prediction and analytics.
The author of over 100 academic papers, in 2013 Una-May received the EvoStar Award for Outstanding Achievements in Evolutionary Computation in Europe. She is a Young/Jr Fellow of the International Society of Genetic and Evolutionary Computation, now ACM SigEVO. She is the area editor for Data Analytics and Knowledge Discovery for Genetic Programming and Evolvable Machines (Kluwer), and editor for Evolutionary Computation (MIT Press), and action editor for the Journal of Machine Learning Research.
She holds a B.Sc. from the University of Calgary, and a M.C.S. and Ph.D. (1995) from Carleton University, Ottawa, Canada.
