Global Orders and Google Inc v Equustek Solutions Inc
Dr Paul Lambert summarises an important judgment of the Canadian Supreme Court and comments on its global impact…
Read More… from Global Orders and Google Inc v Equustek Solutions Inc
Dr Paul Lambert summarises an important judgment of the Canadian Supreme Court and comments on its global impact…
Read More… from Global Orders and Google Inc v Equustek Solutions Inc
The Online Courts Hackathon was held over 24 hours on 1 and 2 July. Laurence Eastham reports on an exciting and uplifting experience….
Read More… from Online Courts Hackathon: Report and Reflections
The second edition of Tomorrow’s Lawyers, updated from its original 2013 publication, ought to be re-titled ‘I told you so’. Professor Susskind has been writing on the future of the legal profession for the past two decades, gaining the title of legal futurologist along the way. 2015’s ‘The Future of the Professions’ forecast a future…
This is the essay from Lottie Michael which won the SCL Essay Prize for 2017…
Read More… from Autonomous Vehicles: An Ethical and Legal Approach
Laurence Eastham reviews this issue and some forthcoming SCL events…
David Chaplin, the SCL’s Development Editor, offers some brief observations on last week’s outstanding Annual Conference…
Graham Smith is one of the speakers at the SCL Conference in the session covering new trends in data interception, use and retention. While this piece from Graham does not reflect his input in that focused session, it is an important contribution to the much-needed debate on Internet freedoms….
What is RegTech? Lorraine Chimbga and Ryan Barnes give the answers and explain why it is having an impact on the financial industry and how it might have an impact on lawyers too….
The winner of the SCL Essay Prize is Lottie Michael….
In an appetiser for one of the sessions at the forthcoming SCL Conference – on AI and machine learning – Matthew Lavy shares some thoughts on machine learning and liability…
Read More… from Reasonable Skill and Care in the Age of Machine Learning: Some Preliminary Thoughts