We had in total 175 people registered for S05E03 meetup of the #datascience community of Brussels. 3 legaltech companies demonstrated how they are using datascience to offer better legal services.
Our speakers explained that the data in the legal industry is mainly words and explained us their approach to process vast amounts of unstructured data through Natural Language Processing techniques (NLP).
The event was held in the clubhouse of the AI & Datascience community at DigitYser on February 7th, 2019. Like always it started with a happy hour at 18:00. All presentations were recorded by Ricardo head of the technical team of DigitYser and made available on our different channels. Youtube – Twitter – Facebook.
Presentation 1 started at 19:00:
How Reacfin proposed to use NLP and deeplearning to check conformity of legal and contractual documents in the re-assurance business.
Reacfinexplained us a use case in the re-insurance business. They used NLP to automate the review of huge contracts. Aurélien Couloumy, head of data science, led us through their step by step approach to tackle this issue using Spacy.
Presentation 2 started at 19:25:
How Jetpack.AI won the #hackBXLaw in November 2018.
The winners of the hackathon on debt recovery, Jetpack.ai, explained their problem solving approach that led them to win the contest and develop their tool: Magpie.
Dodo Chochitaichvili and Gautier Krings explained us how lawyers and data scientists worked together using an agile methodology & KISS principles where the first iteration was the production of a skateboard.
Presentation 3 started at 19:50:
Darts-IP explained how AI combined with high quality data is revolutionising Intellectual Property practices.@
The managing director of Darts-ip, Evrard Van Zuylen, and the data scientist, Vignesh Baskaran, aka Vicky introduced the technology they develop to create a comprehensive database on patents around the globe. They explained the data science process management that lead to their competitive advantage. ”
Join us in London, March 19-20, 2019 for Deep Learning In Finance Summit. Discover advances in deep learning tools and techniques from the world’s leading innovators across industry, research and the financial sector. Learn about deep learning applications in the financial sector from algorithms to forecast financial data, to tools used for data mining & pattern recognition in financial time series, to scaling predictive models, to stock market prediction, to using blockchain technology. Register here.
A jury will make the decision on who to include in the final agenda. As we receive each year over 100 requests, we have decided to do 2 finals where you will be invited to present. Your presentation will be streamed to allow public voting.
The dates of the finals are:
April 11th at 18:30 – AI start-up idea of the year
May 16th at 18:30 – AI project of the year
You will also be invited for a short video interview that will be used to help you gain extra votes from the public.