Legit: Reducing R&D waste with artificial intelligence

In 2015, Matt Osman was the youngest VP at a $1 billion structured credit hedge fund in London. He also just happened to be a trained attorney with a degree in philosophy, politics, and economics from Oxford University and a fascination with artificial intelligence. In particular, he was interested in the effect he thought AI would have on professional services. “I became very interested in structured data sets like legal documents and what AI could do using them as a data source,” he says. Meanwhile, Jacob Rosen was finishing his MS at MIT CSAIL and had just published his paper, “Tax Non-Compliance Detection Using Co-Evolution of Tax Evasion Risk and Audit Likelihood," which won the Best Innovative Application Paper Award at ICAIL 2015. 
 

In 2015, Matt Osman was the youngest VP at a $1 billion structured credit hedge fund in London. He also just happened to be a trained attorney with a degree in philosophy, politics, and economics from Oxford University and a fascination with artificial intelligence. In particular, he was interested in the effect he thought AI would have on professional services. “I became very interested in structured data sets like legal documents and what AI could do using them as a data source,” he says. Meanwhile, Jacob Rosen was finishing his MS at MIT CSAIL and had just published his paper, “Tax Non-Compliance Detection Using Co-Evolution of Tax Evasion Risk and Audit Likelihood," which won the Best Innovative Application Paper Award at ICAIL 2015. 
 

In 2015, Matt Osman was the youngest VP at a $1 billion structured credit hedge fund in London. He also just happened to be a trained attorney with a degree in philosophy, politics, and economics from Oxford University and a fascination with artificial intelligence. In particular, he was interested in the effect he thought AI would have on professional services. “I became very interested in structured data sets like legal documents and what AI could do using them as a data source,” he says. Meanwhile, Jacob Rosen was finishing his MS at MIT CSAIL and had just published his paper, “Tax Non-Compliance Detection Using Co-Evolution of Tax Evasion Risk and Audit Likelihood," which won the Best Innovative Application Paper Award at ICAIL 2015. 
 

In 2015, Matt Osman was the youngest VP at a $1 billion structured credit hedge fund in London. He also just happened to be a trained attorney with a degree in philosophy, politics, and economics from Oxford University and a fascination with artificial intelligence. In particular, he was interested in the effect he thought AI would have on professional services. “I became very interested in structured data sets like legal documents and what AI could do using them as a data source,” he says. Meanwhile, Jacob Rosen was finishing his MS at MIT CSAIL and had just published his paper, “Tax Non-Compliance Detection Using Co-Evolution of Tax Evasion Risk and Audit Likelihood," which won the Best Innovative Application Paper Award at ICAIL 2015. 
 

In 2015, Matt Osman was the youngest VP at a $1 billion structured credit hedge fund in London. He also just happened to be a trained attorney with a degree in philosophy, politics, and economics from Oxford University and a fascination with artificial intelligence. In particular, he was interested in the effect he thought AI would have on professional services. “I became very interested in structured data sets like legal documents and what AI could do using them as a data source,” he says. Meanwhile, Jacob Rosen was finishing his MS at MIT CSAIL and had just published his paper, “Tax Non-Compliance Detection Using Co-Evolution of Tax Evasion Risk and Audit Likelihood," which won the Best Innovative Application Paper Award at ICAIL 2015.