Law
A list of artificial intelligence tools you can use today -- for personal use (1/3)
Carly -- helps you manage phone calls ETCH -- helps you manage your networks into a searchable database Findo -- Your smart search assistant across email, files & personal cloud Leap -- recommends companies to apply for based on your skills Lomi -- identifies sales leads Mosaic -- helps you write better resumes Newton -- helps you find a dream job Notion -- helps with email overload, organisation and communication Robby -- a better and smarter calendar Stella -- scans for jobs and helps manage your application process Woo -- helps you make smarter decision for your career, anonymously Aloe -- replaces your notes books, diary and meeting preparation material Wade&Wendy -- your career advisor Nudge.ai Brightcrowd -- helps you find meaningful professional connections Capsule.ai Abi --a health assistant which connects people to doctors for quick advice Ada -- can help if you're feeling unwell Airi -- personal health coach Alz.ai -- helps you care for loved ones with Alzheimer's Amélie -- ...
Legal AI Pioneer LawGeex Raises $12 Million in New Funding Artificial Lawyer
LawGeex, the legal AI pioneer in contract review has today announced that it has closed a $12m funding round led by venture capital fund, Aleph. The investment brings LawGeex's total funding to date to $21.5m. Previous investors, including Lool Ventures, also participated in this round. The additional capital will be used by LawGeex to'fortify its position…deepen its product offering, and expand its US presence following the opening of its New York office earlier this year' said the Tel Aviv-based company. Aleph partner, Eden Shochat, told Artificial Lawyer why they had so resoundingly backed legal AI company, LawGeex: 'We invest in industries that are going through transformation.
Thinking beyond bots: How AI can drive social impact
Check out "AI: A Force for Good" at the Artificial Intelligence Conference in New York City, April 29-May 2, 2018. What do artificial intelligence (AI), invention, and social good have in common? While on the surface they serve very different purposes, at their core, they all require you to do one thing in order to be successful at them: think differently. Take the act of inventing--in order to develop a great patent, trade secret, or other intellectual property, you need to think outside of the box. Similarly, at the heart of AI is the act of unlocking new capabilities, whether that's making virtual personal assistants like Alexa more useful, or creating a chatbot that provides a personalized experience to customers.
A Theory of Statistical Inference for Ensuring the Robustness of Scientific Results
Coker, Beau, Rudin, Cynthia, King, Gary
Inference is the process of using facts we know to learn about facts we do not know. A theory of inference gives assumptions necessary to get from the former to the latter, along with a definition for and summary of the resulting uncertainty. Any one theory of inference is neither right nor wrong, but merely an axiom that may or may not be useful. Each of the many diverse theories of inference can be valuable for certain applications. However, no existing theory of inference addresses the tendency to choose, from the range of plausible data analysis specifications consistent with prior evidence, those that inadvertently favor one's own hypotheses. Since the biases from these choices are a growing concern across scientific fields, and in a sense the reason the scientific community was invented in the first place, we introduce a new theory of inference designed to address this critical problem. We derive "hacking intervals," which are the range of a summary statistic one may obtain given a class of possible endogenous manipulations of the data. Hacking intervals require no appeal to hypothetical data sets drawn from imaginary superpopulations. A scientific result with a small hacking interval is more robust to researcher manipulation than one with a larger interval, and is often easier to interpret than a classical confidence interval. Some versions of hacking intervals turn out to be equivalent to classical confidence intervals, which means they may also provide a more intuitive and potentially more useful interpretation of classical confidence intervals
We can train AI to identify good and evil, and then use it to teach us morality
When it comes to tackling the complex questions of humanity and morality, can AI make the world more moral? Morality is one of the most deeply human considerations in existence. The very nature of the human condition pushes us to try to distinguish right from wrong, and the existence of other humans pushes us to treat others by those values. What is good and what is right are questions usually reserved for philosophers and religious or cultural leaders. But as artificial intelligence weaves itself into nearly every aspect of our lives, it is time to consider the implications of AI on morality, and morality on AI.
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." Cohen was joined on the panel by Noory Bechor, Anna Ronkainen and Nicole Black. Sharon D. Nelson served as program moderator. While law firms are slow to embrace this new technology, AI is already having an impact on firms in the U.S. and around the world. Robots or machines are being utilized to do tedious, time-consuming tasks like collecting data, searching records, going through old cases, verifying facts, etc.-- work currently done by junior lawyers and paralegals. Remember the IBM computer Watson, which debuted on the TV game show Jeopardy some years back? That was AI in its purest form, said Cohen. Well, Watson spun off a son called ROSS, which a number of law firms now employ, including Baker & Hostetler, Lathan & Watkins, Dentons, K&L Gates, Bryan Cave and Womble Carlyle. "Robots are doing some of these repetitive, mundane tasks," said Cohen, founder & CEO of Legal Mosaic LLC in Washington, D.C. "This does not mean that those lawyers who were doing those tasks are going to be out of a job, but they are going to be liberated to do other types of things." Nelson, an attorney and president of the digital forensics, information technology and information security firm Sensei Enterprises, Inc., in Fairfax, Va., disagreed somewhat with Cohen on jobs not being lost. She pointed to a December 2016 report by Accenture, which said 5 percent of its workforce (20,000 full-time jobs) is no longer human. "Accenture is not a law firm but it provides high-level consulting, technology services and strategic planning for more than 75 percent of the Fortune 500 companies,'' Nelson said.
'The largest foreign bribery case in history'
The US Department of Justice called it "the largest foreign bribery case in history". After Brazilian multinational Odebrecht admitted guilt in a cash-for-contracts corruption scandal in 12 nations, it vowed to change its ways. But Brazil's authorities are still wrestling with an encrypted computer system used to run the firm's illicit payment system. The federal police building in Curitiba, in the southern state of Parana, has hardly been out of the news. In June 2015, the now-convicted former chief executive, Marcelo Odebrecht, was brought here. More recently, the HQ received former president Luis Inacio Lula da Silva, jailed for corruption on charges related to the wider Lava Jato (Car Wash) investigation based here.
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.