Canotera
Canotera is reshaping the way legal cases are analyzed and outcomes are forecasted. Their core product combines the creativity of language models, the predictive accuracy of advanced geometric machine learning, and the reliability of classical signal processing to effectively predict legal dispute outcomes.
About Project
Project Highlights- Supported by RUNI Ventures, Google for Startups Israel (Tel-Aviv & Cloud Program), NVIDIA for Startups, IN-VENTech, and Israel Innovation Authority,
- Check the Canotera’s Clutch review(★5.0) of OVERCODE
Canotera uses Artificial Intelligence to deliver accurate litigation case predictions. The product’s key value for legal professionals is reducing case review times while delivering precise, data-driven predictions. This streamlines decision-making processes and drives progress in justice systems worldwide.
Canotera serves Law firms, Litigation Funders and Insurance Companies enhancing the decision-making processes by their comprehensive case investment and management insights.
Requirements
One of Canotera’s founders reached out to us with a proposal to collaborate on creating an MVP for their upcoming product. They were looking for a partner to design and develop a web application that would interact with their internal AI algorithm to process insights.
We needed to create an interface in different localizations (English and Hebrew) and support all the necessary input fields for a comprehensive description of legal cases.
Solution
We started the product creation with UX research, identifying what data the AI algorithm needs from legal professionals and what logical dependencies there are between these data.
We divided the User Flow into three options depending on the type of litigation and implemented all the data logic to the app design. It was decided to use dark colors, glow gradients, and Siri-like animations to emphasize the product’s innovativeness.
After the UX/UI design was approved, we moved on to the development stage. We used React.js & Next.js for the client interface and chose SWR for communication with the server side.
We successfully launched MVP within 3 month and handed over the source code and some of our internal development guides to the client, while maintaining the product and fixing minor bugs.
12 Sep. 2023 —Without Overcode, we wouldn’t be able to move as quickly as we’ve been able to now. They created an MVP of our web application in just 3 months in a very high-quality process, that we couldn’t have done otherwise in this time frame.