“The conversation about AI bias is broadening,” said psychologist Tara Behrend, PhD, a professor at Michigan State University’s School of Human Resources and Labor Relations who studies human-technology interaction and spoke at CES about AI and privacy. “Agencies and various academic stakeholders are really taking the role of psychology seriously.”
The NY State Bar Association (NYSBA) Task Force on Artificial Intelligence has issued a nearly 80 page report (Report) and recommendations on the legal, social and ethical impact of artificial intelligence (AI) and generative AI on the legal profession. This detailed Report also reviews AI-based software, generative AI technology and other machine learning tools that may enhance the profession, but which also pose risks for individual attorneys’ understanding of new, unfamiliar technology, as well as courts’ concerns about the integrity of the judicial process. It also makes recommendations for NYSBA adoption, including proposed guidelines for responsible AI use. This Report is perhaps the most comprehensive report to date by a state bar association. It is likely this Report will stimulate much discussion.
For those of you who want the “Cliff Notes” version of this report, here is a table that summarizes by topic the various rules mentioned and a concise summary of the associated guidance.
In the latest episode, legal tech guru and Head of Legal at contract lifecycle management company Malbek, Colin Levy, discusses his journey into legal tech and insights from his new book “The Legal Tech Ecosystem“. His book is a plainly written look into the legal tech field, emphasizing practical tools over AI hype and underscoring the importance of adaptability, risk-taking, and continuous learning in this evolving industry.
Digital transformation has dominated every industry, the legal industry has not been left behind. Virtual law, or providing legal services through online platforms, has emerged as a vital resource for individuals and businesses alike. This article explores the idea of online professional legal advice, focusing on business and property matters. It serves as a thorough guide to navigating legal issues in these domains with the aid of virtual law.
Abigail is a lecturer on two of the Law micro-credentials at University of Galway – Lawyering Technology & Innovation and Law & Analytics. Micro-credentials are short, flexible courses designed to fit around your busy life! They are designed in collaboration with industry to meet specific skills needs and are accredited by leading Irish universities.
The potential for AI’s impact is broad, as it has the ability to impact every aspect of human life, from home to work. It will impact our relationships to everything and everyone in our world. The implications for generative AI on the legal system, from how we deliver legal services to how we deliver justice, will be just as far reaching.
[N]ow we face the latest technological frontier: artificial intelligence (AI).… Law professors report with both awe and angst that AI apparently can earn Bs on law school assignments and even pass the bar exam. Legal research may soon be unimaginable without it. AI obviously has great potential to dramatically increase access to key information for lawyers and non-lawyers alike. But just as obviously it risks invading privacy interests and dehumanizing the law.
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When you can no longer sell the time it takes to achieve a client’s outcome, then you must sell the outcome itself and the client’s experience of getting there. That completely changes the dynamics of what law firms are all about.
Georgia State University College of Law faculty understand this need and designed the Legal Analytics & Innovation Initiative (LAII) to equip students with the competitive skills desired by law firms and other companies that align with the emerging technological environment.
“As faculty, we realized we need to be forward-thinking about incorporating technology into our curriculum. Students must understand new areas of law that arise from or are significantly altered by technological advances, like cybersecurity, privacy and AI. They also must understand how these advances change the practice of law,” said Kris Niedringhaus, associate dean for Law Library, Information Services, Legal Technology & Innovation.
As the legal profession continues to navigate the waters of digital transformation, the importance of use cases stands as a beacon guiding the journey. They are the litmus test for the practical value of technology, ensuring that innovations not only dazzle with potential but also deliver tangible benefits. In the quest to integrate AI and legal technology into legal practice, use cases are not just important but indispensable.
The future of legal tech is not about technology for technology’s sake. It’s about thoughtful, purpose-driven innovation that enhances the practice of law, improves client outcomes, and upholds the principles of justice. Use cases are the roadmap for this future, charting a course for technology that is meaningful, impactful, and aligned with the noble pursuit of law.
These librarians, entrepreneurs, lawyers and technologists built the world where artificial intelligence threatens to upend life and law as we know it – and are now at the forefront of the battles raging within.
… To create this first-of-its-kind guide, we cast a wide net with dozens of leaders in this area, took submissions, consulted with some of the most esteemed gurus in legal tech. We also researched the cases most likely to have the biggest impact on AI, unearthing the dozen or so top trial lawyers tapped to lead the battles. Many of them bring copyright or IP backgrounds and more than a few are Bay Area based. Those denoted with an asterisk are members of our Hall of Fame. .
descrybe.ai, a year-old legal research startup focused on using artificial intelligence to provide free and easy access to court opinions, has completed its goal of creating AI-generated summaries of all available state supreme and appellate court opinions from throughout the United States.
descrybe.ai describes its mission as democratizing access to legal information and leveling the playing field in legal research, particularly for smaller-firm lawyers, journalists, and members of the public.
As the FlexOS research study “Generative AI at Work” concluded based on a survey amongst knowledge workers, ChatGPT reigns supreme. … 2. AI Tool Usage is Way Higher Than People Expect – Beating Netflix, Pinterest, Twitch. As measured by data analysis platform Similarweb based on global web traffic tracking, the AI tools in this list generate over 3 billion monthly visits.
With 1.67 billion visits, ChatGPT represents over half of this traffic and is already bigger than Netflix, Microsoft, Pinterest, Twitch, and The New York Times.
Something unusual is happening in America. Demand for electricity, which has stayed largely flat for two decades, has begun to surge.
Over the past year, electric utilities have nearly doubled their forecasts of how much additional power they’ll need by 2028 as they confront an unexpected explosion in the number of data centers, an abrupt resurgence in manufacturing driven by new federal laws, and millions of electric vehicles being plugged in.
The tumult could seem like a distraction from the startup’s seemingly unending march toward AI advancement. But the tension, and the latest debate with Musk, illuminates a central question for OpenAI, along with the tech world at large as it’s increasingly consumed by artificial intelligence: Just how open should an AI company be?
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The meaning of the word “open” in “OpenAI” seems to be a particular sticking point for both sides — something that you might think sounds, on the surface, pretty clear. But actual definitions are both complex and controversial.
In partnership with the National Cancer Institute, or NCI, researchers from the Department of Energy’s Oak Ridge National Laboratory and Louisiana State University developed a long-sequenced AI transformer capable of processing millions of pathology reports to provide experts researching cancer diagnoses and management with exponentially more accurate information on cancer reporting.
DC: Hmmm…given that the militaries of the world have been integrating AI into their arsenals (likely for years), this kind of thing is a bit disturbing for me. Autonomous/self-correcting missiles, robotic tanks, drones, and more…here we come. Ouch.https://t.co/Qljl1U9m9S
— Daniel Christian (he/him/his) (@dchristian5) March 13, 2024
Emerging technical solutions are addressing the main challenges of using Generative AI in legal applications, such as lack of consistency and accuracy, limited explainability, privacy concerns, and difficulty in obtaining and training models on legal domain data.
Structural impediments in the legal industry, such as the billable hour, lack of standardization, vendor dependence, and incumbent control, moderate the success of generative AI startups.
Our defined “client-facing” LegalTech market is segmented into three broad lines of work: Research and Analysis, Document Review and Drafting, and Litigation. We view the total LegalTech market in the United States to be estimated at ~$13B in 2023, with litigation being the largest category.
LegalTech incumbents play a significant role in the adoption of generative AI technologies, often opting for market consolidation through partnerships or acquisitions rather than building solutions organically.
Future evolution in LegalTech may involve specialization in areas such as patent and IP, immigration, insurance, and regulatory compliance. There is also potential for productivity tools and access to legal services, although the latter faces structural challenges related to the Unauthorized Practice of Law (UPL).
EPISODE NOTES
Creative thinking and design elements can help you elevate your legal practice and develop more meaningful solutions for clients. Dennis and Tom welcome Tessa Manuello to discuss her insights on legal technology with a particular focus on creative design adaptations for lawyers. Tessa discusses the tech learning process for attorneys and explains how a more creative approach for both learning and implementing tech can help lawyers make better use of current tools, AI included.
In honor of International Women’s Day, Sharma discusses on LinkedIn the need for more female role models in the tech sector as AI opens up traditional career pathways and creates opportunities to welcome more women to the space.
Sharma invited Thomson Reuters female leaders working in legal technology to share their perspectives, including Rawia Ashraf, Emily Colbert, and Anu Dodda.
As Sarah mentioned to me, this article includes a comparison of some of the benefits and challenges of a nursing career, tips on choosing an accessible nursing school, and examines different nursing career paths, their demands, and accommodations available. It also includes practical advice on job interviews, disclosing disabilities to employers, and understanding legal protections.
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The need for caring and skilled nurses is higher than ever. For people with disabilities, getting into nursing might seem like a tough road with a lot of unknowns. Luckily, it isn’t just doable, people with different abilities can find the career extremely fulfilling. Plenty of opportunities and resources exist for those who want to make a mark in healthcare, no matter the challenges they might face.
Hotshot, a learning platform for legal professionals, today released the first five courses in a planned series designed to teach lawyers and other legal professionals about artificial intelligence and its impact on law practice.
The overall set of AI videos is designed to teach lawyers about the technology, its use cases for law practice, its risks and ethical considerations, its impact on different practice areas, and more.
Teachers are the least empowered, most[-] disrespected, stressed and burned-out of all professions in the U.S. IMAGED CREATED BY DALL-E FOR BRANDON BUSTEED
If your goal was to create a miserable work environment where employees are stressed, burned out, disrespected and given no say in their job just look to U.S. schools for inspiration. They are our ‘best practice of miserable workplaces.’ And if you were looking for one major fix to education in America, you’d do everything in your power to ensure teachers are empowered.
Teacher engagement and empowerment may be the single most important national objective for improving education. Yet years of failed education policy combined with maligned attitudes about teaching have rendered teachers as among the least empowered and most disrespected professions in the country. This is a tragedy of unimaginable proportions. After all, teachers are the gateways to every profession because they are the ones we have tasked with teaching and motivating every young person in the country.
We need to free our teachers to do what they do best – to teach and inspire. Well-intentioned yet failed education policies that have overemphasized standardized testing and driven national and state-level ‘standardized’ curriculum have led to teacher disempowerment.
Putting The Public Back In Education
CommunityShare is an interesting nonprofit organization that has found a way to promote vibrant educational experiences by connecting students and educators to the skills, knowledge, and life experiences of community members.
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Founded in 2015 in Tucson, Arizona, CommunityShare aims to reimagine the relationship between schools and communities. The organization’s vision is “a world where everyone sees themselves as a learner and educator working together to develop their community’s potential.”
Through CommunityShare, teachers and community partners, from artists to astronauts, co-design enriched learning projects that tap into students’ creativity, cultivate real-world skills, and expose students to available community assets.
An unexpected way to fight chronic absenteeism — from hechingerreport.org by Javeria Salman School districts are having some success with using telemedicine and teletherapy to ensure more kids stay in school
The telemedicine clinic is also a way to relieve the burden on working parents, Oakley said: Many parents in the district’s Title I schools work hourly wage jobs and rely on public transportation, making it difficult to pick up a sick child at school quickly.
Amid ongoing efforts to diversify the K-12 teacher workforce, a United Negro College Fund report finds some historically Black colleges and universities are working to get Black students in the teacher pipeline by tapping into faculty networks, establishing relationships with school districts and using financial aid as a recruitment tool.
Additionally, HBCUs leveraged long-standing connections with their local Black church communities to promote teacher prep programs and financial aid offerings during religious services.
UNCF suggested higher ed institutions develop pipelines for Black educators beginning in high school by offering students opportunities to work with children and then maintaining relationships with them through their matriculation into college and eventual completion of a teacher certification.
The early vibrations of AI have already been shaking the newsroom. One downside of the new technology surfaced at CNET and Sports Illustrated, where editors let AI run amok with disastrous results. Elsewhere in news media, AI is already writing headlines, managing paywalls to increase subscriptions, performing transcriptions, turning stories in audio feeds, discovering emerging stories, fact checking, copy editing and more.
Felix M. Simon, a doctoral candidate at Oxford, recently published a white paper about AI’s journalistic future that eclipses many early studies. Swinging a bat from a crouch that is neither doomer nor Utopian, Simon heralds both the downsides and promise of AI’s introduction into the newsroom and the publisher’s suite.
Unlike earlier technological revolutions, AI is poised to change the business at every level. It will become — if it already isn’t — the beginning of most story assignments and will become, for some, the new assignment editor. Used effectively, it promises to make news more accurate and timely. Used frivolously, it will spawn an ocean of spam. Wherever the production and distribution of news can be automated or made “smarter,” AI will surely step up. But the future has not yet been written, Simon counsels. AI in the newsroom will be only as bad or good as its developers and users make it.
We proposed EMO, an expressive audio-driven portrait-video generation framework. Input a single reference image and the vocal audio, e.g. talking and singing, our method can generate vocal avatar videos with expressive facial expressions, and various head poses, meanwhile, we can generate videos with any duration depending on the length of input video.
New experimental work from Adobe Research is set to change how people create and edit custom audio and music. An early-stage generative AI music generation and editing tool, Project Music GenAI Control allows creators to generate music from text prompts, and then have fine-grained control to edit that audio for their precise needs.
“With Project Music GenAI Control, generative AI becomes your co-creator. It helps people craft music for their projects, whether they’re broadcasters, or podcasters, or anyone else who needs audio that’s just the right mood, tone, and length,” says Nicholas Bryan, Senior Research Scientist at Adobe Research and one of the creators of the technologies.
There’s a lot going on in the world of generative AI, but maybe the biggest is the increasing number of copyright lawsuits being filed against AI companies like OpenAI and Stability AI. So for this episode, we brought on Verge features editor Sarah Jeong, who’s a former lawyer just like me, and we’re going to talk about those cases and the main defense the AI companies are relying on in those copyright cases: an idea called fair use.
The FCC’s war on robocalls has gained a new weapon in its arsenal with the declaration of AI-generated voices as “artificial” and therefore definitely against the law when used in automated calling scams. It may not stop the flood of fake Joe Bidens that will almost certainly trouble our phones this election season, but it won’t hurt, either.
The new rule, contemplated for months and telegraphed last week, isn’t actually a new rule — the FCC can’t just invent them with no due process. Robocalls are just a new term for something largely already prohibited under the Telephone Consumer Protection Act: artificial and pre-recorded messages being sent out willy-nilly to every number in the phone book (something that still existed when they drafted the law).
EIEIO…Chips Ahoy!— from dashmedia.co by Michael Moe, Brent Peus, and Owen Ritz
Here Come the AI Worms — from wired.com by Matt Burgess Security researchers created an AI worm in a test environment that can automatically spread between generative AI agents—potentially stealing data and sending spam emails along the way.
Now, in a demonstration of the risks of connected, autonomous AI ecosystems, a group of researchers have created one of what they claim are the first generative AI worms—which can spread from one system to another, potentially stealing data or deploying malware in the process. “It basically means that now you have the ability to conduct or to perform a new kind of cyberattack that hasn’t been seen before,” says Ben Nassi, a Cornell Tech researcher behind the research.
Justice tech — legal tech that helps low-income folks with no or some ability to pay, that assists the lawyers who serve those folks, and that makes the courts more efficient and effective — must contend with a higher hurdle than wooing Silicon Valley VCs: the civil justice system itself.
A checkerboard of technology systems and data infrastructures across thousands of local court jurisdictions makes it nearly impossible to develop tools with the scale needed to be sustainable. Courts are themselves a key part of the access to justice problem: opaque, duplicative and confusing court forms and burdensome filing processes make accessing the civil justice system deeply inefficient for the sophisticated, and an impenetrable maze for the 70+% of civil litigants who don’t have a lawyer.
Noxtua, the first sovereign European legal AI with its proprietary Language Model, allows lawyers in corporations and law firms to benefit securely from the advantages of generative AI. The Berlin-based AI startup Xayn and the largest German business law firm CMS are developing Noxtua as a Legal AI with its own Legal Large Language Model and AI assistant. Lawyers from corporations and law firms can use the Noxtua chat to ask questions about legal documents, analyze them, check them for compliance with company guidelines, (re)formulate texts, and have summaries written. The Legal Copilot, which specializes in legal texts, stands out as an independent and secure alternative from Europe to the existing US offerings.
Gen AI is game-changing technology, directly impacting the way legal work is done and the current law firm-client business model; and while much remains unsettled, within 10 years, Gen AI is likely to change corporate legal departments and law firms in profound and unique ways
Generative artificial intelligence (Gen AI) isn’t a futuristic technology — it’s here now, and it’s already impacting the legal industry in many ways.
Feb 29 (Reuters) – A new venture by a legal technology entrepreneur and a former Kirkland & Ellis partner says it can use artificial intelligence to help lawyers understand how individual judges think, allowing them to tailor their arguments and improve their courtroom results.
The Toronto-based legal research startup, Bench IQ, was founded by Jimoh Ovbiagele, the co-founder of now-shuttered legal research company ROSS Intelligence, alongside former ROSS senior software engineer Maxim Isakov and former Kirkland bankruptcy partner Jeffrey Gettleman.
Last month, OpenAI chief executive Sam Altman finally admitted what researchers have been saying for years — that the artificial intelligence (AI) industry is heading for an energy crisis. It’s an unusual admission. At the World Economic Forum’s annual meeting in Davos, Switzerland, Altman warned that the next wave of generative AI systems will consume vastly more power than expected, and that energy systems will struggle to cope. “There’s no way to get there without a breakthrough,” he said.
I’m glad he said it. I’ve seen consistent downplaying and denial about the AI industry’s environmental costs since I started publishing about them in 2018. Altman’s admission has got researchers, regulators and industry titans talking about the environmental impact of generative AI.
Yesterday, Nvidia reported $22.1 billion in revenue for its fourth fiscal quarter of fiscal 2024 (ending January 31, 2024), easily topping Wall Street’s expectations. The revenues grew 265% from a year ago, thanks to the explosive growth of generative AI.
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He also repeated a notion about “sovereign AI.” This means that countries are protecting the data of their users and companies are protecting data of employees through “sovereign AI,” where the large-language models are contained within the borders of the country or the company for safety purposes.
??BREAKING: Adobe has created a new 50-person AI research org called CAVA (Co-Creation for Audio, Video, & Animation).
I can’t help but wonder if OpenAI’s Sora has been a wake up call for Adobe to formalize and accelerate their video and multimodal creation efforts?
Nvidia is building a new type of data centre called AI factory. Every company—biotech, self-driving, manufacturing, etc will need an AI factory.
Jensen is looking forward to foundational robotics and state space models. According to him, foundational robotics could have a breakthrough next year.
The crunch for Nvidia GPUs is here to stay. It won’t be able to catch up on supply this year. Probably not next year too.
A new generation of GPUs called Blackwell is coming out, and the performance of Blackwell is off the charts.
Nvidia’s business is now roughly 70% inference and 30% training, meaning AI is getting into users’ hands.
From DSC: This first item is related to the legal field being able to deal with today’s issues:
The Best Online Law School Programs (2024) — from abovethelaw.com by Staci Zaretsky A tasty little rankings treat before the full Princeton Review best law schools ranking is released.
Several law schools now offer online JD programs that have become as rigorous as their on-campus counterparts. For many JD candidates, an online law degree might even be the smarter choice. Online programs offer flexibility, affordability, access to innovative technologies, students from a diversity of career backgrounds, and global opportunities.
Voila! Feast your eyes upon the Best Online JD Programs at Law School for 2024 (in alphabetical order):
Mitchell Hamline School of Law – Hybrid J.D.
Monterey College of Law – Hybrid Online J.D.
Purdue Global Law School – Online J.D.
Southwestern Law School – Online J.D.
Syracuse University – J.D. Interactive
University of Dayton School of Law – Online Hybrid J.D.
University of New Hampshire – Hybrid J.D.
DSC: FINALLY!!! Online learning hits law schools (at least in a limited fashion)!!! Maybe there’s hope yet for the American Bar Association and for America’s legal system to be able to deal with the emerging technologies — and the issues presented therein — in the 21st century!!! Because if we can’t even get caught up to where numerous institutions of higher education were back at the turn of this century, we don’t have as much hope in the legal field being able to address things like AI, XR, cryptocurrency, blockchain, and more.
Advocate, advise, and accompany— from jordanfurlong.substack.com by Jordan Furlong These are the three essential roles lawyers will play in the post-AI era. We need to start preparing legal education, lawyer licensing, and law practices to adapt.
Consider this scenario:
Ten years from now, Generative AI has proven capable of a stunning range of legal activities. Not only can it accurately write legal documents and conduct legal research and apply law to facts, it can reliably oversee legal document production, handle contract negotiations, monitor regulatory compliance, render legal opinions, and much more. Lawyers are no longer needed to carry out these previously billable tasks or even to double-check the AI’s performance. Tasks that once occupied 80% of lawyers’ billable time have been automated.
What are the chances this scenario unfolds within the next ten years? You can decide that likelihood for yourself, but I think anything above 1% represents the potential for major disruption to the legal profession.
Also from Jordan, see:
Could Generative AI help solve the law’s access dilemma? Legal regulators have failed to strike the right balance between accessibility and quality in legal services. It’s just possible that Gen AI could open the door to an entirely new solution.
We have gathered, from Colin Levy’s insights, the top five strategies that legal professionals can implement to excel in this transformational era – bringing them together with technology.
Going further than just legal spend, analytics on volume of work and diversity metrics can help legal teams make the business case they need to drive important initiatives and decisions forward. And a key differentiator of top-performing companies is the ability to get all of this data in one place, which is why Mitratech was thrilled to unveil PlatoBI, an embedded analytics platform powered by Snowflake, earlier this year with several exciting AI and Analytic enhancements.
Also worrisome is that AI will be used as a crutch that short circuits learning. Some people look for shortcuts. What effect of AI on that learning process and the result, for students and when lawyers use AI to draft documents and research?
Four days of seminars, lectures and demonstrations at the 39th annual ABA Techshow boiled down to Saturday morning’s grand finale, where panelists rounded up their favorite tech tips and apps. The underlying theme: artificial intelligence.
“It’s an amazing tool, but it’s kind of scary, so watch out,” said Cynthia Thomas, the Techshow co-chair, and owner of PLMC & Associates, talking about the new tool from OpenAI, Sora, which takes text and turns it into video.
Other panelists during the traditional Techshow closer, “60 sites, 60 tips and gadgets and gizmos,” highlighted a wide of AI-enabled or augmented tools to help users perform a large range of tasks, including quickly sift through user reviews for products, generate content, or keep up-to-date on the latest AI tools. For those looking for a non-AI tips and tools, they also suggested several devices, websites, tips and apps that have helped them with their practice and with life in general.
ABA Techshow 2024 stressed the importance of ethics in legal technology adoption. Ethics lawyer Stuart I. Teicher warned of the potential data breaches and urged attorneys to be proactive in understanding and supervising new tools. Education and oversight are key to maintaining data protection and integrity.
Though it might be more accurate to call TECHSHOW an industry showcase because with each passing year it seems that more and more of the show involves other tech companies looking to scoop up enterprising new companies. A tone that’s set by the conference’s opening event: the annual Startup Alley pitch competition.
This year, 15 companies presented. If you were taking a shot every time someone mentioned “AI” then my condolences because you are now dead. If you included “machine learning” or “large language model” then you’ve died, come back as a zombie, and been killed again.
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![Teachers are the least empowered, most[-]disrespected, stressed and burned-out of all professions in the U.S. IMAGED CREATED BY DALL-E FOR BRANDON BUSTEED](https://imageio-forbes-com.cdn.ampproject.org/i/s/imageio.forbes.com/specials-images/imageserve/65d8b0ac957e1304a58aea38/Teacher/960x0.png?height=711&width=711&fit=bounds)
