Spent the past few days here in Hamburg working with our multi-institutional scientific research team (Bucerius Law, Max Planck Institute, Chicago Kent Law, Heidelberg Law) … culminating in our presentation to the Bucerius Law Faculty today ! cc: Dirk Hartung Corinna Coupette Janis Beckedorf #legalinnovation #makelawbetter #legaltech #methods #legaldata #science #datascience #networkscience
Today I was happy to moderate the third Session of the AI + Law Track here at #ILTACon2019 – today we focused on a topic of great interest to me … Contract AI / Analytics … Thanks to our organizer Rodney Mullins … Thanks to our speakers – Kerry Westland Kevin L. Miller Martin Davidson Noah Waisberg !
Fighting off Stormtroopers so that I can moderate the AI and Law Track here at International Legal Technology Association Conference in Orlando #ILTACON19 #ILTACON2019 #legaltech #legaleducation #legalinnovation #makelawbetter
Full House for Session 1 of the AI Track at #ILTACON19 – I am Moderating each of the Four Sessions this year (see you tomorrow for Session 2) … #LegalTech #LegalAI #legaleducation #legalinnovation
Thanks to our Panelists for Session 1 – Brad Blickstein Benjamin Alarie Ann McCrackin Jeremiah Weasenforth
Quantitative Methods for Lawyers is the first course in a two course sequence and it assumes no prior knowledge of statistics / quantitative thinking. You will learn basic concepts and will receive an introduction to R (the open source programming language which is lingua franca of statistical computing). Those with a prior knowledge of statistics, etc. might be advised to simply start with our Legal Analytics course (which is a primer in machine learning / advanced analytics for lawyers that I teach with Michael Bommarito).
Finishing up the Fall 2013 Quantitative Methods for Lawyers Course on Friday — Legal Analytics (taught by Michael J.Bommarito II & Daniel Martin Katz) – is the follow up course — offered in Winter 2014.
Today was Day 2 of our R Boot Camp in Quantitative Methods for Lawyers.
In total, there will be three set of slides in this multi-day bootcamp designed to introduce students to the logic of R, the basic roadblocks such as loading data and cleaning data, loading various R packages, running basic commands, shifting out of default command settings, plotting data, conducting statistical tests, etc. Later in the course we will use R for regression analysis, etc.
For anyone who might be interested, the Full Course Page including all slidedecks is located here. For help on the installation of R and the RStudio IDE please check out my Loading R/RStudio Bonus Module.
