In collaboration with Aird & Berlis LLP, Blue J Tax provides Place of Supply Predictions. Cut through the complexity with this new feature.
Traditional case law search is highly inefficient . But there is a better solution that saves time and stress. Clio’s 2021 Legal Trends Report
The joint development of a first-of-its-kind suite of artificial intelligence (AI) tax analysis tools for the UK has been announced by KPMG UK and Blue J.
Two takeaways on determining whether parties are dealing at arm’s length (Damis Properties Inc. v. The Queen).
On June 7, 2021 the Ontario Superior Court of Justice released its second decision in a matter of months interpreting Ontario Regulation 228/20
The grim one year anniversary of the COVID-19 pandemic in Canada has highlighted that many businesses across the country continue to struggle financially. Two Federal assistance programs, the Canada Emergency Wage Subsidy (CEWS) and the Canada Emergency Rent Subsidy (CERS) have helped by giving out a combined total of over $77 billion in subsidies, but it is not enough for many small and medium-sized businesses.
Through a rigorous, human-driven research and development process, Blue J Legal is able to use the power of machine learning in order to synthesize the multitude of factors present in every case to make accurate predictions. Data scientists and experienced lawyers are involved at each step of the multi-faceted and laborious process, wherein we translate the universe of unstructured data, such as relevant cases and tribunal decisions, into structured data that is capable of being used in machine learning.
"Blue J’s long-term vision imagines a world in which, thanks to advances in artificial intelligence and machine learning technology, legal uncertainty is a thing of the past. Recognizing that we must hold ourselves accountable to stay true to our mission and, in so doing, avoid creating unintended outcomes, Blue J’s internal ethics committee RELAI (which stands for Responsible, Ethical, Legal AI) was founded in 2019. Our first task was to draft a Charter on Algorithmic Responsibility."
Download our free white paper to learn how HR professionals can navigate the accommodation of mental health disabilities.
Blue J correctly predicted the outcome of termination in Levi Strauss & Co. v Workers United Canada Council, 2020 CanLII 44271 (ON LA).
During this webinar, employment lawyers from leading Canadian employment and labour law firms will discuss how the current economic environment may impact reasonable notice periods awarded by the courts.
On the income vs. capital issue, Blue J Tax correctly predicted that these sales should be reported as business income based on several factors unique to the case in Wall v. The Queen.
Tax Foresight Correctly Predicts the Case Outcomes of Cal. Ridge Wind Energy, LLC v. United States and Bishop Hill Energy, LLC v. United States.
Blue J Tax correctly predicted that the taxpayer would not be entitled to use the due diligence defence in Ahmar v. Canada.
Lisa Stam of SpringLaw
23% of large law firms surveyed in a recent report by Thomson Reuters said that they had lost expected client business to one of the Big Four.
Recent developments under the TCJA have resulted in increased risks of taxpayers incurring accuracy-related penalties. How can taxpayers prepare?
Join us for a webinar discussing new regulations enacted in the TCJA and, in particular, GILTI’s implications for corporate taxpayers
Legal technology is a novel way for new lawyers to get a head start on developing legal intuition that will make them more efficient researchers
This webinar covers the state of the law in unrelated business income tax decisions and demonstrates how machine learning can reduce uncertainty in tax...
This webinar covers the state of the law in economic substance, notable recent cases, and advancements in machine learning
This webinar covers the state of the law in unrelated business income tax decisions and demonstrates how machine learning can reduce uncertainty in tax
The 2017 Tax Cuts and Jobs Act (TCJA) resulted in significant changes in how exempt organizations calculate their unrelated business taxable income (UBTI).
By using machine learning algorithms to test different scenarios, we can get a clearer sense of how the courts actually weigh different factors in complex cases
Machine learning (AI) algorithms can provide unprecedented insights into the question of whether a worker is an employee or independent contractor.
Recent advances in AI provide lawyers with an opportunity to use powerful legal research tools to support their predictions. Learn how in this blog
Machine learning (AI) allows us to ascertain which factors have the greatest impact on a predicted outcome for the determination of income vs. capital.
Watch this on demand webinar to learn more about legal tech, artificial intelligence, and the benefits of adopting legal technology in your firm.
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