This post is Part Two of a new series based on the TEDx talk, Transcending Books: What’s Next for Law and Society, given by Blue J Legal's CEO, Benjamin Alarie
Blue J Legal CEO, Benjamin Alarie, does a TEDx talk on Transcending Books: What’s Next For Law and Society. He explored how advanced tools, like Blue J Legal’s Tax Foresight and Employment Foresight, are stepping stones to eliminating legal uncertainty.
Our system isn’t meant to provide legal advice, but rather it’s a legal research tool,” says Brudner. “We’re essentially providing the best legal information to professionals so that they can provide the best advice to their clients.
A brief look at the evolution of legal research and where law is heading with the introduction of legal technology.
In determining a notice period after termination, failure to account for inducement will dramatically understate the length of notice that a court will find to be reasonable.
Employers should account for an employee’s health condition when determining the amount of reasonable notice due at the time of termination.
The consequences of misclassifying employees have grown in magnitude since the amendments to Ontario's Employment Standards Act (ESA). Employment Foresight's Worker Classifier can help.
Reasonable notice periods may appear to be difficult to predict. Blue J L&E is the first software to utilize the power of machine learning to predict reasonable notice awards.
Blue J Legal's primers provide a short summary of an area of law, its key concepts, a roadmap, and relevant considerations in under 8 pages.
An outline of foundational AI concepts, how Blue J Legal applies machine learning, and a look at what AI means for law in the future.
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
How machine learning (AI) handles a complex tax question: does a transaction undertaken by a taxpayer as part of its business?
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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