Inspiration
The challenges posted on the legal tech slack channel were the main source of inspiration for us.
What it does
The solution works as follows:
- Recognizes names of companies, currencies, names of natural persons, events, dates, places, in PDF documents.
- Attaches relevant information about the above concepts, like data about the companies, currency conversions and linkedin profiles about natural persons.
- Helps lawyers find contract templates, by only specifying the type of operation for which they want a template, and their email address in order to receive the required template.
How I built it
We built it around a NLP solution that smartly recognizes companies, persons, events, dates and places in PDF docs. The NLP solution is coded in Java, the front end of the application in Javascript, and we also use a python client for working with the backend that contains the NLP solution. Moreover, the template solution backend is written in Java, and it leverages SpringBoot functionalities for creating the services.
Accomplishments that I'm proud of
We had a lot of fund building it, we met a lot of nice people, exchanged ideas, and we had a very pleasant experience while developing it.
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