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complimentary on-demand webinar

Using Machine Learning to Predict Outcomes in Tax Law

Recent advances in artificial intelligence and machine learning have bolstered the predictive power of data analytics. Research tools based on these developments will soon be the norm.  Learn from Benjamin Alarie, CEO of Blue J Legal and one of the creators of Tax Foresight, as he discusses his experiences in his journey to understand how machine learning techniques can be used to better predict legal outcomes.

Attendees will gain insight on:

  • The importance of prediction and how humans are outperformed by mechanical and algorithmic prediction
  • Recent advances in machine learning that have generated powerful tools for prediction
  • How Blue J Legal is using these machine learning technologies to provide predictions in grey areas of tax law
  • The broader possibilities for technologies including a world where information about legal rights and responsibilities is more affordable; where the informational asymmetries that lead to wasteful expenditure on litigation is reduced; and where regulators use these tools to create a more effective and efficient administration of government

Explore Tax Foresight »

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About the presenter

Benjamin AlarieBenjamin Alarie, B.A. (Laurier), M.A. (Toronto), J.D. (Toronto), LL.M. (Yale) is CEO of Blue J Legal and the Osler Chair in Business Law at the Faculty of Law at the University of Toronto. Professor Alarie researches and teaches in taxation law and judicial decision-making, and was awarded the Alan Mewett QC Prize for excellence in teaching by the law school’s graduating class of 2009. He has dozens of academic publications, and his research has been funded by the Social Sciences and Humanities Research Council, the Canadian Foundation for Innovation, and the Ontario Ministry of Research and Innovation.