Legal AI pioneer Itai Gurari’s article is a commentary and a lessons learned that is critical to our communities of best practice as we seek to effectively assess both the promise and significant drawbacks of artificial intelligence and machine learning in the context of the legal sector. As Gurari clearly articulates, building reliably intelligent legal software requires more than just the application of the latest trendy tools. It requires building systems that are robust and that respect the use cases for which they are designed.
The Internet of Things (IoT) has permeated all facets of our lives – professional, family, social – more quickly and expansively than many are willing to acknowledge. The repercussions of IoT are multifaceted – and directly impact issues that span privacy, cybersecurity, intellectual property rights, civil liberties and the law. Law and technology scholar Joshua A.T. Fairfield discusses the ramifications of allowing our environment to be seeded with sensors that gather our personal data using a plethora of devices we now consider to be essential conveniences.