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.
Nicole Black’s article addresses how solo and small law firms can effectively implement business process improvements using applications for critical tasks including time-tracking, billing, and invoicing.
Andrew Arruda, CEO/Co-founder of ROSS Intelligence talks about how new artificial intelligent methods currently under development to leverage deep learning and neural nets will be game changers in the area of legal research.
Smart computing is changing the nature of legal work even as the profession struggles to understand its scope. Machines sophisticated enough to communicate intelligibly and naturally with human hosts, technology with the processing power to wrangle big data are enhancing the way attorneys do their jobs and affecting the way they think. Law practices are now set up in paperless offices, cases litigated in hi-tech courtrooms, research done almost exclusively online, demanding higher levels of technical competency and professional responsibility. The vocabulary of technology is filling the legal landscape: algorithms, analytics, artificial intelligence (A.I.), automated decision-making, avatars, big data, cloud computing, code, cognitive computing, computer-aided, computer-generated, creative computing, cyborg, data driven, data mining, data science, data trails, deep learning, electronic discovery (e-discovery), expert systems, machine learning, metadata, mobile technology, mosaic theory, natural language, neural networks, paperless and virtual offices, pattern matching, predictive analytics, robotics, self-replicating technologies, smart data, smart technology, source code, and supercomputers. So, time worn lexicons and practice libraries are infiltrated with the latest computer terminologies and technical manuals. The work of lawyers, judges and government officials increasingly relies on the processing power of microchips. So, the Bartleby of tomorrow is taking shape today. From document assembly to document drafting, the borderlands of decision-making, data analysis, and communication will mark the progress of law and raise new questions for the administration of justice. And the breadth of information competence will need to expand with each new generation of technology. This article by Ken Strutin is a significant, comprehensive and expert guide to recent and notable works on the automation of lawyering, the administration of law and legal thinking.