Login
Request a Demo

In the News

What the world is saying about us

Media Inquiries 
What France's 3% Digital Tax Means for Tech Giants Like Amazon and Facebook

August 27, 2019

"The OECD is headquartered in Paris, the French are very influential at the OECD. But the U.S. is also very influential, so it's kind of an immovable point and an unstoppable force meeting," Alarie added. 

Find out more
U.S. and France move toward possible accord on digital services tax

August 26, 2019

“The big difference over the status quo is that technology companies may have to start paying meaningful amounts of tax in these jurisdictions where they really aren’t paying significant and meaningful amounts of tax under the current status quo,” said Alarie. “That would be the number one biggest change.”

Find out more
INSIGHT: Turning Standards into Rules Part 5: Weighing the Factors in Capital Gains vs. Ordinary Income Decisions

January 14, 2019

Machine learning (AI) can detect the relative importance of factors by leveraging data from previous case law. This approach allows us to ascertain which factors have the greatest impact on a predicted outcome for the determination of income vs. capital.

Find out more
INSIGHT: Turning Standards into Rules Part 4: Machine Learning and Economic Substance

December 27, 2018

In this article, we’ll see how machine learning (AI) handles a complex tax question: does a transaction undertaken by a taxpayer as part of its business, trade, or income-earning activity have economic substance?

Find out more
INSIGHT: Turning Standards into Rules Part 3: Behavioral Control Factors in Employee vs. Independent Contractor Decisions

December 14, 2018

With the growth of the gig economy, the employee-independent contractor distinction has received renewed attention in both the media and the courts. Machine learning (AI) algorithms can provide unprecedented insights into the question of whether a worker is an employee or independent contractor.

Find out more
INSIGHT: Turning Standards into Rules Part 2: How Do Financial Risk Factors Affect Debt vs. Equity Determinations? 

December 3, 2018

Financial risk factors can have a significant influence on the characterization of interest in a corporation as debt or equity. By using machine learning algorithms to test different scenarios, we can get a much clearer sense of how the courts actually weigh different factors in complex cases.

Find out more
Blue J Legal Raises US$7MM in Series A Funding

November 29, 2018

Blue J Legal, a Toronto, Canada-based machine learning and artificial intelligence legal service, raised US$7m in a Series A financing.

Find out more
Blue J Legal raises $9.3 mln in Series A led by Relay Ventures

November 29, 2018

Blue J Legal, a Toronto-based software platform focused on the legal industry, has secured about $9.3 million (US$7 million) in a Series A financing.

Find out more
Blue J Legal Raises $9.3 Million CAD to Expand Legal Platform to The US

November 29, 2018

Toronto-based Blue J Legal has raised $9.3 million CAD in a series A round. The round was led by Relay Ventures, with participation from US-based LDV Partners, and returning investors BDC Capital and Mistral Venture Partners.

Find out more
INSIGHT: Turning Standards into Rules Part 1: Using Machine Learning to Predict Tax Outcomes

September 18, 2018

Recent advances in AI provide lawyers with an opportunity to use powerful legal research tools to support their predictions. By analyzing the facts and outcomes of past cases, machine learning algorithms can find hidden patterns in the existing data to predict the outcome of new scenarios.

Find out more

Want to see Tax Foresight in action?

Request a Demo