Paul drives EDT’s product innovation, pushing the envelope towards best practice in machine learning, artificial intelligence, and natural language processing. He is a PhD–qualified mathematician who played a key role in the design, development, and popularisation of predictive coding in Australia and the United States. He speaks frequently on the application of machine learning and AI in law and was an expert advisor in the earliest reported applications of predictive coding in the Australian courts. Paul originally studied astrophysics, completing his PhD investigating the absorption of solar oscillations by sunspots at Monash University. He enjoys the occasional break from all things digital with 35mm film photography.