Blue J Tax 2026: Benefits, Features & Pricing

I like the user platform of Tax Foresight, as it is pretty easy to navigate and use. Instructions on the page itself is easy to follow as well. The reports that are generated are very nicely presented. There are also continuous customer support (ie: providing training sessions, sending emails etc.).

I think there can be more scenarios for the different tax issues that might come up. Currently, the number of circumstances are rather limited. And sometimes, the responses that can required might not be available from the client.

Tax Foresight is a powerful research engine that allows me to perform accurate research through case laws and precedent legal issues. It informs me the confidence percentage rating to determine how likely a court will rule the way of the predicted result, which allows me to triage my research needs. In addition, I can also revise my factors to increase/decrease the level of confidence. I like how Tax Foresight produces two sets of cases, "Similar Cases" and "References", which share factual features and important cases frequently cited in court judgments. Overall, I think Tax Foresight is an excellent tool that increased efficiency and comfort level in my research.

Although the current classifiers cover the most frequently searched and requested, there are still a lot of topics that are not available on Tax Foresight. However, I am confident that more topics will be added going forward as the number of users and recommendations increase.

Provides a thorough walkthrough of questions that are relevant to a particular issue and allows you to change answers to see what the effect will be on the outcome. Also great a surfacing jurisprudence that most closely reflects your fact pattern.

There just aren't that many situations in which to use it because there are not very many classifiers compared with the number of questions a tax lawyer professional needs to answer. This is not a problem that the company can fix, the problem is that machine learning can only do so much, which leads to two problems. First, machine learning requires a huge amount of input to be accurate and in Canada there just isn't enough jurisprudence available. Furthermore, tax legislation changes so often that the machine learning algorithm cannot rely on cases going back too far, which further limits the potential pool of input. Second, machine learning still relies on human input to classify questions and answers. If the human trainer says that "these five issues" are generally determinative then that is what the algorithm will learn. As a result, it will miss edge cases (which is reasonable). But those edge cases are the ones that practitioners generally need the most help with. When a residency issue is straightforward, the algorithm will have no problem, but neither will the practitioner.

The software is easy to use and I like how it allows you to easily cross reference the findings with actual court cases. This allows you to complete a lot of research relatively quickly.

There could be a wider variety of topics that the tool allows us to research.

The final predictive outcome analysis also presents the user with a detailed legal analysis, foundational legal precedents, cases on point, etc. in a simple and easy to navigate format.

Only focused on Canadian law at the moment, but I am aware of plans to scale out to U.S. federal law.

Great tool to check to see a variety of indicators

Some missing indicators but those will be developed