Blue J Legal
| Private | |
| ISIN | 🆔 |
| Industry | Legal technology, Legal informatics |
| Founded 📆 | 2015 |
| Founders 👔 |
|
| Headquarters 🏙️ | , , Canada |
Number of locations | New York City, Washington D.C., and Toronto |
Area served 🗺️ | |
| Products 📟 | Blue J Tax (Canada), Blue J Tax (USA), Blue J L&E, Blue J HR |
| Services | Computer-assisted legal research and emulations |
| Members | |
Number of employees | |
| 🌐 Website | www |
| 📇 Address | |
| 📞 telephone | |
Blue J Legal is a legal technology software company headquartered in Toronto, Canada. The company operates as a legal expert system in the domain of computer-assisted legal research and emulations for predictions of legal outcomes in the tax law, labor law and human resources litigation. Blue J Legal was founded in 2015 by Canadian jurists Benjamin Alarie, Anthony Niblett and Albert Yoon, and technologist Brett Janssen.
History[edit]
The company began in 2015 as a joint incubator project of the UTEST (University of Toronto Early Stage Technology) program and IBM's initiative to develop new AI applications for its Watson supercomputer. Among the company's founders were Benjamin Alarie, Anthony Niblett and Albert Yoon, three Canadian lawyers and academics.[1][2] Brett Janssen joined the company the same year as the company’s first CTO.[3] By 2017 the company developed its first product Tax Foresight[4] (later renamed Blue J Tax), a computer-assisted legal research for predictions of the legal outcomes in the Canada tax litigation system.[5][6][7] Eventually, the company developed other products Blue J L&E (formerly Employment Foresight)[4][8] and Blue J HR.[9] In January 2018, Department of Justice in Canada launched an 18-month pilot program that applied Blue J Legal technology, in particular its software program Tax Foresight.[10] The program, which also involved the Canada Revenue Agency (CRA), was used for legal outcomes analyses and predictions in the field of tax litigation.[5] Later, Federal Justice Department also applied Blue J Legal technology to predict results in public service labour and employment cases.[11] In addition to Canada, the company has been also developing software tools for the US market in the fields of tax and employment law.[8] Blue J Legal has its main office in Toronto with the satellite offices in New York City and Washington D.C.[10]
Technology components[edit]
Blue J Legal is a specific example of a general category of legal expert systems, broadly defined as systems that make use of artificial intelligence (AI) techniques to solve legal problems.[12] Legal AI systems can be divided into two categories: legal retrieval systems and legal analysis systems. Blue J Legal belongs to the latter category of legal analysis systems. Designed to operate in more than one legal domain, Blue J Legal accounts for statute law, case law, and the doctrine of precedent in areas of public law. Whilst it accommodates statute law, it is primarily a case-based system.[13]:172[14] Blue J Legal software operates as a hybrid legal expert system, combining rule – based reasoning with neural network theory to emulate the decision-making abilities of a human expert in the field of law. Basically, it employs a legal case-based reasoning from previously tried cases and other relevant data, comparing the contextual information in the current input case with that of cases previously tried and entered into the system. It is designed to assist attorneys, judges, mediators, and lawyers and individuals with legal expertise.
Limitations and ethics concerns[edit]
Arguments have been made that a failure to take into consideration various theoretical approaches to legal decision making will produce expert systems that fail to reflect the true nature of decision making.[13]:190 Meanwhile, some legal expert system architects contend that because many lawyers have proficient legal reasoning skills without a sound base in legal theory, the same should hold true for legal expert systems.[15]:pp.6–7 A number of legal experts note that new legal technologies such as Blue J Legal software might eventually replace many legal occupations[1] or hand over excessive authority to AI algorithms. However, they also admit that algorithms mostly perform routine and menial tasks that were earlier assigned to the young lawyers and trainees.[16][4][1]
See also[edit]
- Legal technology
- Legal expert system
- Artificial intelligence and law
- Computer-assisted legal research
- Legal informatics
References[edit]
- ↑ 1.0 1.1 1.2 Sorensen, Chris (2017-01-17). "Big law is having its Uber moment". MacLean's. Retrieved 2021-08-29.
- ↑ "University of Toronto Early Stage Technology". University of Toronto.
- ↑ O'Grady, Jean (2019-10-21). "Blue J Legal Tax Foresight Predictive AI for Tax Lawyers". Dewey B Strategic. Retrieved 2021-08-19.
- ↑ 4.0 4.1 4.2 Nowak, Peter (2017-10-30). "Artificial intelligence takes the drudgery out of legal work". The Globe and Mail. Retrieved 2021-08-29.
- ↑ 5.0 5.1 Beeby, Dean (2018-09-13). "Litigation gone digital: Ottawa experiments with artificial intelligence in tax cases". CBC Canada. Retrieved 2021-08-29.
- ↑ "The Company's History". Blue J.
- ↑ Olano, Gabriel (2019-11-12). "Canadian tech firm Blue J Legal will help build split-income tax tool". Canadian Lawyer. Retrieved 2021-08-29.
- ↑ 8.0 8.1 Moran, Lyle (2020-08-05). "Law firm teams up with Canadian legal tech company on AI-powered case prediction tool". Aba Journal. Retrieved 2021-08-29.
- ↑ Zacks (2019-01-11). "ADP Canada and Blue J Legal to Offer AI-based HR Foresight". NASDAQ. Retrieved 2021-08-29.
- ↑ 10.0 10.1 Reilly, Peter J. (2019-10-04). "AI Coming For Tax Planners - The Horror". Forbes. Retrieved 2021-08-29.
- ↑ Hemmadi, Murad (2020-02-04). "Federal justice department testing artificial intelligence to predict results in public service labour and employment cases". The Logic. Retrieved 2021-08-29.
- ↑ Knight, F. Tim (2017-02-13). "Machines Regulating Humans: Will Algorithms Become Law?". SLAW (Canada's Online Legal Magazine). Retrieved 2021-08-29.
- ↑ 13.0 13.1 Susskind, Richard (1986). "Expert Systems in Law: A Jurisprudential Approach to Artificial Intelligence and Legal Reasoning". Modern Law Review. 49 (2): 168–194. doi:10.1111/j.1468-2230.1986.tb01683.x.
- ↑ Friedmann, Ron (2016-06-13). "Machine Learning (AI) to Answer to Legal Questions: Blue J Legal". PrismLegal. Retrieved 2021-08-29.
- ↑ Popple, James (1996). A Pragmatic Legal Expert System (PDF). Applied Legal Philosophy Series. Dartmouth (Ashgate). ISBN 1-85521-739-2. Archived from the original (PDF) on 25 September 2006. Retrieved 6 July 2021. Unknown parameter
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- ↑ Shannon, Kari (2018-10-01). "AI technology can enhance a practice". Law Times. Retrieved 2021-08-29.
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