The LexPredict Team is excited to announce that our company has been acquired by Elevate. We believe that joining forces with Elevate is the most effective way to bring enterprise solutions to market more quickly, by combining the artificial intelligence, data science and data engineering capabilities of LexPredict with the award winning legal services of Elevate. Once again our team is very excited !
#LegalTech and #LegalInnovation is Global — On Friday, I delivered the Keynote at the first Legal Tech Congress hosted by Flemish Bar Association in Brussel. We had ~250+ in attendance at the event.
#LegalTech and #LegalInnovation is Global – It was my great pleasure to speak last night at a Legal Innovation and Technology event in Budapest. It was a full venue with ~150 people in attendance. The Legal Tech and Innovation community in Hungary is small but gaining strength! Given its historic strengths in STEM – I expect efforts in this region to grow over the coming years.
It was a big week here in Australia – I took a few individual meetings, spoke at a couple law firms and delivered the Keynote at the Chilli IQ Lawtech Summit in Brisbane/Noosa ( https://www.lawtechsummit.com.au ) as well as the FLIP Legal Tech Conference in Sydney hosted by the Law Society of New South Wales (https://www.lawsociety.com.au/…/advoc…/flip/flip-conference/ )
It was nice to have coverage of my talk in Sydney in the Australian – the largest circulation newspaper for Australia!
Today is Day 2 here teaching at the Legal Technology and Operations Summer School at Bucerius Law School here in Hamburg !
It was a great pleasure to participate in the 2018 RSG Financial Times Innovative Lawyers Conference in London !
Paper Abstract – LexNLP is an open source Python package focused on natural language processing and machine learning for legal and regulatory text. The package includes functionality to (i) segment documents, (ii) identify key text such as titles and section headings, (iii) extract over eighteen types of structured information like distances and dates, (iv) extract named entities such as companies and geopolitical entities, (v) transform text into features for model training, and (vi) build unsupervised and supervised models such as word embedding or tagging models. LexNLP includes pre-trained models based on thousands of unit tests drawn from real documents available from the SEC EDGAR database as well as various judicial and regulatory proceedings. LexNLP is designed for use in both academic research and industrial applications, and is distributed at https://github.com/LexPredict/lexpredict-lexnlp
Academic Tour Continues – tomorrow I will be giving a talk at Bar Ilan University here in Tel Aviv at their Law & Big Data Workshop – it is looks like an good agenda with proper scientific papers with technical results / or discussions about methodology. #LegalScience #LegalData #LegalInformatics