Machine learning-powered tax & legal analysis
Open for applications
Machine learning-powered tax & legal analysis
21-100 employees
Open for applications
21-100 employees
To bring absolute clarity to the law, everywhere and on-demand.
Blue J Legal’s AI powered platform was created by a team of law professors and data scientists with the aim of helping fellow legal professionals gain a better understanding of individual cases, more quickly than if they researched an entire case themselves.
Having initially focused solely on legal cases, Blue J also now applies its predictive AI software to tax law – a tool which has become popular amongst tax attorneys and accountants, not just for its speed but for its junior-training applications.
While there’s been huge growth in the use of AI in the legal industry, its outcomes have not been without flaw. Blue J claims 90% accuracy for its predictive software, however there have been some cases documented across the whole industry where AI was biased against minority demographics for example.
The key thing for Blue J Legal moving forward is the accuracy of its software. If the company can maintain the very highest standards and maintain its AI’s integrity, it could become not just financially successful, but socially impactful.
Freddie
Company Specialist
-24% employee growth in 12 months
Aug 2021
$9m
SERIES B
Nov 2018
$7.5m
SERIES A
Toronto, Ontario, Canada
Founders
Benjamin Alarie
(Co-founder & CEO)Osler Chair in Business Law, full professor, tenured faculty member, and former Associate Dean (2011-2015) at the law school at the University of Toronto.
Brett Janssen
(Co-founder & CTO)Former Senior IT Architect at Odecee and The Marlo Group, former SOA Solution Architect at IBM.
Anthony Niblett
(Co-founder)Professor of Law at the University of Toronto. Former Bigelow Fellow and Lecturer at the University of Chicago Law School.
Albert Yoon
(Co-founder)Professor of Law at the University of Toronto, Michael J. Trebilcock Chair in Law and Economics.
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