This AI checks NDAs for free - and offers a grim glimpse of the future


NDA Lynn, an AI that can evaluate confidentiality agreements for free, is a perfect example of the role artificial intelligence will probably play in our life. For the past decade or so, Arnoud Engelfriet has been the Netherland's go-to guy for any question regarding internet and the law. Also his last name translates roughly to'Angelic Fries,' which is awesome. One of the services Engelfriet offered was checking NDAs if they should be signed. Non-disclosure agreements (NDAs) are pretty standard business contracts used to keep confidential information under wraps.

Legal tech gurus forecast how AI will impact your practice


There are generally two schools of thought when it comes to the effects of artificial intelligence (AI) on the future of the law practice. One faction believes that robots and all AI are going to render lawyers largely redundant or drastically reduce their numbers. On the other side are those who say artificial intelligence is vastly overblown, that it's just a fad and that it will not have that big of an impact on the legal industry. Attorney Mark A. Cohen, a leading authority on the delivery of legal services and an early adoptee of technology in the legal industry, comes down somewhere in the middle. "I say AI is not going to replace lawyers but instead cause lawyers to work differently in the marketplace than they have before,'' he explained during a panel discussion on the ABA-sponsored webinar "Artificial Intelligence and the Future of Law Practice."

How to Prevent Bias in Machine Learning – Becoming Human: Artificial Intelligence Magazine


The following article is based on work done for my graduate thesis titled: Ethics and Bias in Machine Learning: A Technical Study of What Makes Us "Good," covering the limitations of machine learning algorithms when it comes to inclusivity and fairness. As Cathy O'Neil discusses in her book, Weapons of Math Destruction, the seeming impenetrability and absolute value of machine learning may not be all that we bargained for. Though machine learning appears to indisputably increase business value and efficiency, in some cases, it can sow inequality deeper by hard-coding it into our machines. It is imperative that machine learning experts, creators, and contributors account for "doing the right thing" as much as they do "meeting the bottom line" to balance the enormous power these mechanical decision makers possess. A machine learning algorithm is typically code written by a data scientist in a programming language such as R, Python, or Javascript.

Using an Artificial Intelligence Software Platform to Streamline the Trademark Infringement Process LexBlog


Cease and Desist Letter Automation Introduction: On Friday, April 20th LegalRnD will host the "Measuring Lawyer Quality and Setting an Empirical Research Agenda for Legal Technology and Innovation" Conference from 9 am to 12 pm at the Kellogg Center in East Lansing. Students from Dan Linna Jr.'s Litigation: Data, Theory, Practice, Process Course will present on legal technology tools that have been developed to address real-world problems Students were taught the Kata method to help identify potential solutions for the legal problems that they were provided. Students were also trained in both Think Smart and Neota Logic artificial intelligence platforms, so that these solutions could be built for the project partner. My group consisted of Erica Porter, Kaitlyn Huber and myself. We were given the following problem by Jeffrey Sharer of the Akerman Law Firm .

Artificial Intelligence Presents a Golden Opportunity


Imagine if technology powered by artificial intelligence (AI) could help visually impaired people see? Such technology actually exists in the form of a smartphone app called Seeing AI that literally serves as a talking camera that helps visually impaired people see by describing their surroundings at any given moment and can improve the quality of life for millions of people. Massive amounts of data are required to fuel AI and to train the algorithms that are part of AI solutions. As the data privacy laws across the globe continue to evolve (e.g., the European Union General Data Protection Regulation that becomes effective on May 25, 2018), we continue to see significant data loss/access issues involving well-known institutions and the cybercriminals become even more sophisticated, it is of paramount importance that AI systems need to respect privacy and be highly secure. AI solutions ought to widely benefit everyone – not just a select few.

Could your next lawyer be a robot? Tech firms making case for artificial intelligence


Early in his career, Andrew Hall, an old-school Miami attorney whose Coconut Grove firm has sued governments from Cuba to Sudan, worked on a lawsuit that lasted three full years. The case was cartoonishly complex. The Vietnam War was sputtering to an end and McDonnell Douglas Aircraft, then America's largest manufacturer of jet airplanes, had defaulted on a contract involving the delivery of 99 jets to Eastern Airlines. There were over a million documents put into evidence and almost 300 witnesses. The massive operation employed so many lawyers, clerks and paralegals, they resembled a legal militia more than a legal team.

Tokyo police panel recommends computerizing crime prevention by tapping AI, big data

The Japan Times

A Metropolitan Police Department panel is calling for the use of information and communications technology, including artificial intelligence and big data, to prevent crime. The panel, led by Takushoku University professor Tadashi Moriyama, said in an MPD report released Friday that ICT works for crime prevention and event security and is "needed to secure the safety of people in Tokyo, and in Japan." The panel also highlighted related problems, such as the handling of personal data. Based on the report, the MPD will start detailed discussions with the aim of using ICT for security during the 2020 Tokyo Olympics. The panel, composed of five experts from fields such as information and communications and criminology, discussed ways to aggregate and analyze the MPD's vast crime and accident database, data on social networking services, and publicly available information, such as weather, to conduct police activities, the report said.

GRCC Will Be Offering Two Drone Courses – DEEP AERO DRONES – Medium


Farmers, construction industry, inspection, survey, search and rescue are some of the areas where drones are majorly being used. Colleges are also showing an interest in the drone technology, and Grand Rapids Community College (GRCC) will be offering two drone courses that will increase people's skill set and offer more economic opportunities. Topics such as use of navigational charts, aviation weather sources and emergency procedures will also be discussed. Julie Parks, the executive director of workforce training, mentioned, "GRCC President Bill Pink has emphasized the need for the college to have a relevant and responsive curriculum to meet current and future labour demands."

Adam Nguyen, eBrevia: 'Purely Human Review Unsustainable' Artificial Lawyer


Artificial Lawyer recently caught up with Adam Nguyen (pictured above), co-founder and COO of US legal AI company eBrevia, which in March announced that it had been chosen by Thomson Reuters (TR) to provide AI-driven document review for the global company's managed legal services clients. We discussed what the landmark deal means, how AI will be increasingly used in the legal world and where the company is heading. How significant is this both for TR and for eBrevia? This is an exciting time for TR and eBrevia. TR had carefully evaluated a number of AI-powered contract review softwares and selected eBrevia because we produced the most accurate results, not to mention the ease of tailoring eBrevia to specific industry needs.

Artificial Intelligence Collides with Patent Law


Progress in AI has shown tremendous potential for benefitting mankind by improving efficiency and savings in production, commerce, "transport, medical care, rescue, education and farming", as well as for significantly cultivating "the ability and level of social governance".