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
Yes – there is no easy button – but far more streamlining is coming and higher order work streams are on the march in data science …
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
It is my great pleasure to visit with Primerus and its associated law firms and deliver an address at its 2018 Annual PDI Convocation.
CLOC Panel – Legal AI in Real Life — (Cisco, Liberty Mutual, Spotify) (I was filling in for Julian T. from Google) — I discussed the contract analytics project we are undertaking with Cisco / Elevate and other applied A.I. / Analytics Projects that the LexPredict Team is undertaking with corporate legal departments !
I am looking forward to speaking on the panel – Artificial Intelligence & Machine Learning Session at The 22nd Annual Corporate Counsel Institute (2018) – Georgetown Law.
Access press release here
Looking forward to giving the presentation next week at Stanford CodeX !
On March 9, 2018 – I will be giving the Keynote Address at the 2018 ABA Tech Show in Chicago — I hope to see you there see you there!
The March of Machine Learning as a Service #MLaaS rolls on !
The next leg of our SCOTUS Crowdsourcing Tour takes us to Minneapolis – for talk at the University of Minnesota Law School. Looking forward to it!