Our work/Blue J

Blue J Legal

Industry
Legal services
Headquarters
Toronto, Canada
Services
React Development, Machine Learning Operations, DevOps, Team Enablement

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The challenge

As a young pre-revenue startup seeking market traction, Blue J Legal needed to progress its concept quickly from a heroku-based mockup to a fully-deployed solution built around an exceptional user experience. To this end, Blue J partnered with Rangle to bring their product to market while creating a platform that could easily scale the launch of additional machine learning services.

The process

Working closely with Blue J’s co-founders, Rangle created a node-based backend architecture that integrated with IBM Watson and Microsoft Azure to provide tax classifications and surface the top 5 case studies supporting the result. The Rangle team also delivered a React frontend, together with a Classifier Generator that reduced the build time needed to add additional classifiers from one month to one week.

The outcome

Blue J successfully launched its MVP and acquired its first paying customers during its partnership with Rangle. The team enablement provided by Rangle helped Blue J expand and level-up its staff to take production in-house moving forward. Blue J now offers a suite of over 40 classifiers and has since raised more than $9M in venture financing.

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Creating a Next-Generation Research Tool for Tax Professionals

Blue J Legal partnered with Rangle to build a React application that leverages machine learning to enable complex decision-making on a variety of tax law issues. Through a powerful but simple-to-use questionnaire, Blue J’s platform speeds up the work of tax professionals while providing needed context through relevant research articles.

Creating a Next-Generation Research Tool for Tax Professionals

Blue J Legal partnered with Rangle to build a React application that leverages machine learning to enable complex decision-making on a variety of tax law issues. Through a powerful but simple-to-use questionnaire, Blue J’s platform speeds up the work of tax professionals while providing needed context through relevant research articles.

Leveraging Machine Learning

Each Blue J Legal questionnaire results in a classification (eg. “Current Expenditure”, “Resident”, “Employee”), a confidence rating, supporting cases, the ability for a user to email the results to themselves, and a feedback section. Results are generated by querying Machine Learning services (eg, IBM’s Watson and Microsoft’s Azure). These services are trained by Blue J’s tax law experts to provide accurate classification as well as context for when classifications aren’t as straightforward.

Leveraging Machine Learning

Each Blue J Legal questionnaire results in a classification (eg. “Current Expenditure”, “Resident”, “Employee”), a confidence rating, supporting cases, the ability for a user to email the results to themselves, and a feedback section. Results are generated by querying Machine Learning services (eg, IBM’s Watson and Microsoft’s Azure). These services are trained by Blue J’s tax law experts to provide accurate classification as well as context for when classifications aren’t as straightforward.

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