Via LLRX – Automatic Justice: Shaping the Legal Mind of Tomorrow – 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.