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Fresh Voices on Legal Tech with Megan Ma — from legaltalknetwork.com by Dennis Kennedy, Tom Mighell, and Dr. Megan Ma

Episode Notes
As genAI continues to edge into all facets of our lives, Dr. Megan Ma has been exploring integrations for this technology in legal, but, more importantly, how it can help lawyers and law students hone their legal skills. Dennis and Tom talk with Dr. Ma about her work and career path and many of the latest developments in legal tech. They take a deep dive into a variety of burgeoning AI tools and trends, and Dr. Ma discusses how her interdisciplinary mindset has helped her develop a unique perspective on the possibilities for AI in the legal profession and beyond.

Legal tech disruption: Doing it on purpose — from localgovernmentlawyer.co.uk
Thomson Reuters looks at the role that a legal technology roadmap can play in improving the operations of in-house legal departments.

Disruption in the legal industry remains a powerful force – from the death of the billable hour to robot lawyers and generative AI. Leaders are facing weighty issues that demand long-term, visionary thinking and that will change the way legal professionals do their jobs.

With half of in-house legal departments increasing their use of legal technology tools, many GCs are taking the initiative to address continued, growing expectations from the business for systems that can make operations better. How can you prepare for a tech or process change so that people come along with you, rather than living in constant fire-fighting mode?

The Tutoring Revolution [Korbey]

On 10/11/2024, in 21st century, 24x7x365 access, Bias | Diversity Equity & Inclusion (DE&I), cloud-based computing / apps / other cloud-related, digital learning, education, education technology, emerging technologies, future, game-changing environment, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, languages and translation, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning spaces, online learning, online media, personalized/customized learning, platforms, ubiquitous learning, United States, user experience (UX), vendors, virtual tutoring, vision/possibilities, youth, by Daniel Christian

The Tutoring Revolution — from educationnext.org by Holly Korbey
More families are seeking one-on-one help for their kids. What does that tell us about 21st-century education?

Recent research suggests that the number of students seeking help with academics is growing, and that over the last couple of decades, more families have been turning to tutoring for that help.
…

What the Future Holds
Digital tech has made private tutoring more accessible, more efficient, and more affordable. Students whose families can’t afford to pay $75 an hour at an in-person center can now log on from home to access a variety of online tutors, including Outschool, Wyzant, and Anchorbridge, and often find someone who can cater to their specific skills and needs—someone who can offer help in French to a student with ADHD, for example. Online tutoring is less expensive than in-person programs. Khan Academy’s Khanmigo chatbot can be a student’s virtual AI tutor, no Zoom meeting required, for $4 a month, and nonprofits like Learn to Be work with homeless shelters and community centers to give virtual reading and math tutoring free to kids who can’t afford it and often might need it the most.

How far should we go in allowing technology to aid our decision-making processes? [Schlegel] + other legaltech-related items

On 10/11/2024, in 21st century, 24x7x365 access, future, game-changing environment, Google, innovation, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, Open AI, platforms, podcasting, by Daniel Christian

The Future of Umpiring in Baseball: Balancing Tradition and Technology — from judgeschlegel.com by Judge Scott Schlegel
This article is not about baseball.

As we look to the future of umpiring in baseball, a balanced approach may offer the best solution. Rather than an all-or-nothing choice between human umpires and full automation, a hybrid system could potentially offer the benefits of both worlds. For instance, automated tracking systems could be used to assist human umpires, providing them with real-time data to inform their calls. This would maintain the human element and authority on the field while significantly enhancing accuracy and consistency.

Such a system would allow umpires to focus more on game management, player interactions, and the myriad other responsibilities that require human judgment and experience. It would preserve the traditional aspects of the umpire’s role that fans and players value, while leveraging technology to address concerns about accuracy and fairness.

Navigating the Intersection of Tradition and AI: The Future of Judicial Decision-Making — from judgeschlegel.com by Judge Scott Schlegel

Introduction
Continuing with our baseball analogy, we now turn our focus to the courtroom.

The intersection of technology and the justice system is a complex and often contentious space, much like the debate over automated umpires in baseball. As Major League Baseball considers whether automated systems should replace the human element in calling balls and strikes, the legal world faces similar questions: How far should we go in allowing technology to aid our decision-making processes, and what is the right balance between innovation and the traditions that define the courtroom?

AI and the rise of the Niche Lawyer — from jordanfurlong.substack.com by Jordan Furlong
A new legal market will create a new type of lawyer: Specialized, flexible, customized, fractional, home-based and online, exclusive, balanced and focused. This could be your future legal career.

Think of a new picture. A lawyer dressed in Professional Casual, or Business Comfortable, an outfit that looks sharp but feels relaxed. A lawyer inside their own apartment, in an extra bedroom, or in a shared workspace on a nearby bus route, taking an Uber to visit some clients and using Zoom to meet with others. A lawyer with a laptop and a tablet and a smartphone and no other capital expenditures. A lawyer whose overhead is only what’s literally over their head.

This lawyer starts work when they feel like it (maybe 7 am, maybe 10; maybe Monday, maybe not) and they stop working when they feel like it (maybe 4 pm, maybe 9). They have as many clients as they need, for whom they provide very specific, very personalized services. They provide some services that aren’t even “legal” to people who aren’t “clients” as we understand both terms. They have essential knowledge and skills that all lawyers share but unique knowledge and skills that hardly any others possess. They make as much money as they need in order to meet the rent and pay down their debts and afford a life with the people they love. They’re in complete charge of their career and their destiny, something they find terrifying and stressful and wonderful and fulfilling.

While We Were Distracted with the New ChatGPT Model, Google Quietly Dropped an AI Bombshell — from judgeschlegel.com by Judge Scott Schlegel

While the latest ChatGPT model is dominating tech headlines, I was unexpectedly blown away by Google’s recent release of a new NotebookLM feature: Audio Overview. This tool, which transforms written content into simulated conversations, caught me off guard with its capabilities. I uploaded some of my blog posts on AI and the justice system, and what it produced left me speechless. The AI generated podcast-like discussions felt remarkably authentic, complete with nuanced interpretations and even slight misunderstandings of my ideas. This mirrors real-life discussions perfectly – after all, how often do we hear our own thoughts expressed by others and think, “That’s not quite what I meant”?

? Breaking barriers isn’t just for athletes! Discover how Roger Bannister’s sub-4-minute mile can inspire a revolution in the justice system. ?? Read my latest article here: https://t.co/CCiWcqX6ri #schLegalTech #LegalTech pic.twitter.com/cjPCB4zM3b

— Judge Scott Schlegel (@Judgeschlegel) September 25, 2024

Duolingo Introduces AI-Powered Innovations at Duocon 2024 + an AI-based reading coach

On 10/05/2024, in 21st century, 24x7x365 access, corporate / business world, corporate universities / corporate training, education, education technology, emerging technologies, engagement / engaging students, experimentation, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, languages and translation, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning preferences, learning spaces, lifelong learning, multimedia, Natural Language Processing (NLP), online learning, online media, online tutoring, personalized/customized learning, platforms, reading, skills, student-related, tools, United States, usability, user experience (UX), user interface design, vendors, videoconferencing, Virtual Reality (VR) / worlds / learning, virtual tutoring, vision/possibilities, voice recognition / voice enabled interfaces, writing, by Daniel Christian

Duolingo Introduces AI-Powered Innovations at Duocon 2024 — from investors.duolingo.com; via Claire Zau

Duolingo’s new Video Call feature represents a leap forward in language practice for learners. This AI-powered tool allows Duolingo Max subscribers to engage in spontaneous, realistic conversations with Lily, one of Duolingo’s most popular characters. The technology behind Video Call is designed to simulate natural dialogue and provides a personalized, interactive practice environment. Even beginner learners can converse in a low-pressure environment because Video Call is designed to adapt to their skill level. By offering learners the opportunity to converse in real-time, Video Call builds the confidence needed to communicate effectively in real-world situations. Video Call is available for Duolingo Max subscribers learning English, Spanish, and French.

And here’s another AI-based learning item:

AI reading coach startup Ello now lets kids create their own stories — from techcrunch.com by Lauren Forristal; via Claire Zau

Ello, the AI reading companion that aims to support kids struggling to read, launched a new product on Monday that allows kids to participate in the story-creation process.

Called “Storytime,” the new AI-powered feature helps kids generate personalized stories by picking from a selection of settings, characters, and plots. For instance, a story about a hamster named Greg who performed in a talent show in outer space.

Workera’s CEO was mentored by Andrew Ng. Now he wants an AI agent to mentor you. [Zeff]

On 10/05/2024, in 21st century, 24x7x365 access, adult learning, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, career development, cloud-based computing / apps / other cloud-related, curriculum, Daniel S. Christian, emerging technologies, future, game-changing environment, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, lifelong learning, new business models, online learning, online media, online tutoring, personalized/customized learning, platforms, reinvent, skills, staying relevant, tools, training / L&D, United States, vendors, workplace, by Daniel Christian

Workera’s CEO was mentored by Andrew Ng. Now he wants an AI agent to mentor you. — from techcrunch.com by Maxwell Zeff; via Claire Zau

On Tuesday, Workera announced Sage, an AI agent you can talk with that’s designed to assess an employee’s skill level, goals, and needs. After taking some short tests, Workera claims Sage will accurately gauge how proficient someone is at a certain skill. Then, Sage can recommend the appropriate online courses through Coursera, Workday, or other learning platform partners. Through chatting with Sage, Workera is designed to meet employees where they are, testing their skills in writing, machine learning, or math, and giving them a path to improve.

From DSC:
This is very much akin to what I’ve been trying to get at with my Learning from the Living [AI-Based Class] Room vision. And as learning agents come onto the scene, this type of vision should take off!

Why Jensen Huang and Marc Benioff see ‘gigantic’ opportunity for agentic AI [Plumb]

On 09/27/2024, in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, learning agents, NVIDIA, pace of change, society, trends, United States, vendors, by Daniel Christian

Why Jensen Huang and Marc Benioff see ‘gigantic’ opportunity for agentic AI — from venturebeat.com by Taryn Plumb

Going forward, the opportunity for AI agents will be “gigantic,” according to Nvidia founder and CEO Jensen Huang.

Already, progress is “spectacular and surprising,” with AI development moving faster and faster and the industry getting into the “flywheel zone” that technology needs to advance, Huang said in a fireside chat at Salesforce’s flagship event Dreamforce this week.

“This is an extraordinary time,” Huang said while on stage with Marc Benioff, Salesforce chair, CEO and co-founder. “In no time in history has technology moved faster than Moore’s Law. We’re moving way faster than Moore’s Law, are arguably reasonably Moore’s Law squared.”

“We’ll have agents working with agents, agents working with us,” said Huang.

“Google’s NotebookLM: A Game-Changer for Education and Beyond” [Spencer & Potkalitsky] + other items re: AI in our LE’s

On 09/25/2024, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, assessment, colleges, communications, communities of practice, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital audio, digital learning, education, education technology, emerging technologies, faculty, future of higher education, game-changing environment, Google, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, interaction design, interactivity, IT in HE, K-12 related, law schools, learning, learning ecosystem, Learning Experience Design, multimedia, platforms, productivity / tips and tricks, student-related, teachers, teaching & learning, teaching online, technologies for your home, tools, training / L&D, trends, United States, universities, vendors, vision/possibilities, voice recognition / voice enabled interfaces, workplace, by Daniel Christian

FlexOS’ Stay Ahead Edition #43 — from flexos.work

People started discussing what they could do with Notebook LM after Google launched the audio overview, where you can listen to 2 hosts talking in-depth about the documents you upload. Here are what it can do:

Summarization: Automatically generate summaries of uploaded documents, highlighting key topics and suggesting relevant questions.
Question Answering: Users can ask NotebookLM questions about their uploaded documents, and answers will be provided based on the information contained within them.
Idea Generation: NotebookLM can assist with brainstorming and developing new ideas.
Source Grounding: A big plus against AI chatbot hallucination, NotebookLM allows users to ground the responses in specific documents they choose.
…plus several other items

The posting also lists several ideas to try with NotebookLM such as:

Idea 2: Study Companion

Upload all your course materials and ask NotebookLM to turn them into Question-and-Answer format, a glossary, or a study guide.
Get a breakdown of the course materials to understand them better.

Google’s NotebookLM: A Game-Changer for Education and Beyond — from ai-supremacy.com by Michael Spencer and Nick Potkalitsky
AI Tools: Breaking down Google’s latest AI tool and its implications for education.

“Google’s AI note-taking app NotebookLM can now explain complex topics to you out loud”

With more immersive text-to-video and audio products soon available and the rise of apps like Suno AI, how we “experience” Generative AI is also changing from a chatbot of 2 years ago, to a more multi-modal educational journey. The AI tools on the research and curation side are also starting to reflect these advancements.

Meet Google NotebookLM: 10 things to know for educators — from ditchthattextbook.com by Matt Miller

1. Upload a variety of sources for NotebookLM to use.
You can use …

websites
PDF files
links to websites
any text you’ve copied
Google Docs and Slides
even Markdown

You can’t link it to YouTube videos, but you can copy/paste the transcript (and maybe type a little context about the YouTube video before pasting the transcript).

2. Ask it to create resources.
3. Create an audio summary.
4. Chat with your sources.
5. Save (almost) everything.

NotebookLM summarizes my dissertation — from darcynorman.net by D’Arcy Norman, PhD

I finally tried out Google’s newly-announced NotebookLM generative AI application. It provides a set of LLM-powered tools to summarize documents. I fed it my dissertation, and am surprised at how useful the output would be.

The most impressive tool creates a podcast episode, complete with dual hosts in conversation about the document. First – these are AI-generated hosts. Synthetic voices, speaking for synthetic hosts. And holy moly is it effective. Second – although I’d initially thought the conversational summary would be a dumb gimmick, it is surprisingly powerful.

4 Tips for Designing AI-Resistant Assessments — from techlearning.com by Steve Baule and Erin Carter
As AI continues to evolve, instructors must modify their approach by designing meaningful, rigorous assessments.

As instructors work through revising assessments to be resistant to generation by AI tools with little student input, they should consider the following principles:

Incorporate personal experiences and local content into assignments
Ask students for multi-modal deliverables
Assess the developmental benchmarks for assignments and transition assignments further up Bloom’s Taxonomy
Consider real-time and oral assignments

Google CEO Sundar Pichai announces $120M fund for global AI education — from techcrunch.com by Anthony Ha

He added that he wants to avoid a global “AI divide” and that Google is creating a $120 million Global AI Opportunity Fund through which it will “make AI education and training available in communities around the world” in partnership with local nonprofits and NGOs.

Educators discuss the state of creativity in an AI world — from gettingsmart.com by Joe & Kristin Merrill, LaKeshia Brooks, Dominique’ Harbour, Erika Sandstrom

Key Points

AI allows for a more personalized learning experience, enabling students to explore creative ideas without traditional classroom limitations.
The focus of technology integration should be on how the tool is used within lessons, not just the tool itself

Addendum on 9/27/24:

Google’s NotebookLM enhances AI note-taking with YouTube, audio file sources, sharable audio discussions — from techcrunch.com by Jagmeet Singh

Google on Thursday announced new updates to its AI note-taking and research assistant, NotebookLM, allowing users to get summaries of YouTube videos and audio files and even create sharable AI-generated audio discussions…

NotebookLM adds audio and YouTube support, plus easier sharing of Audio Overviews — from blog.google

AI agents are the future, and a lot is at stake [Sanzeri]

On 08/28/2024, in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, change, corporate / business world, corporate universities / corporate training, digital learning, education, education technology, emerging technologies, engineering, entrepreneurship, future, future of higher education, game-changing environment, health, higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, IT in HE, K-12 related, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, lifelong learning, personalized/customized learning, the downsides of how people use tech, workplace, by Daniel Christian

AI agents are the future, and a lot is at stake — from forbes.com by Skip Sanzeri

What An Agent Is
Agents are computer programs that can autonomously perform tasks, make decisions and interact with humans or other computers. There are many different types of agents, and they are designed to achieve specific goals spanning our lives and nearly every industry, making them an integral and unstoppable part of our future.

Learning: AI agents will transform education by providing personalized learning experiences such as one-to-one tutoring. ChatGPT and other large language models (LLMs) are providing access to all digital knowledge now. An “agent” would act as a more personalized version of an LLM.

The hacking and control of an AI agent could lead to disastrous consequences, affecting privacy, security, the economy and societal stability. Proactive and comprehensive security strategies are essential to mitigate these risks in the future.

“8 Legal Tech Trends Transforming Practice in 2024” [lawyer-monthly.com] + several other legaltech-related items

On 08/28/2024, in 21st century, 24x7x365 access, Blockchain, business, data related items, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, research, surviving, trends, UK, United States, vendors, Virtual courts and law firms, by Daniel Christian

8 Legal Tech Trends Transforming Practice in 2024 — from lawyer-monthly.com

Thanks to rapid advances in technology, the entire scenario within the legal landscape is changing fast. Fast forward to 2024, and legal tech integration would be the lifeblood of any law firm or legal department if it wishes to stay within the competitive fray.

Innovations such as AI-driven tools for research to blockchain-enabled contracts are thus not only guideline highlights of legal work today. Understanding and embracing these trends will be vital to surviving and thriving in law as the revolution gains momentum and the sands of the world of legal practice continue to shift.

Below are the eight expected trends in legal tech defining the future legal practice.

Building your legal practice’s AI future: Understanding the actual technologies — from thomsonreuters.com by
The implementation of a successful AI strategy for a law firm depends not only on having the right people, but also understanding the tech and how to make it work for the firm

While we’re not delving deep here into how generative artificial intelligence (GenAI) and large language models (LLMs) work, we will talk generally about different categories of tech and emerging GenAI functionalities that are specific for legal.

Ex-Microsoft engineers raise $25M for legal tech startup that uses AI to help lawyers analyze data — from geekwire.com by Taylor Soper

Supio, a Seattle startup founded in 2021 by longtime friends and former Microsoft engineers, raised a $25 million Series A investment to supercharge its software platform designed to help lawyers quickly sort, search, and organize case-related data.
…
Supio focuses on cases related to personal injury and mass tort plaintiff law (when many plaintiffs file a claim). It specializes in organizing unstructured data and letting lawyers use a chatbot to pull relevant information.

“Most lawyers are data-rich and time-starved, but Supio automates time-sapping manual processes and empowers them to identify critical information to prove and expedite their cases,” Supio CEO and co-founder Jerry Zhou said in a statement.

ILTACON 2024: Large law firms are moving carefully but always forward with their GenAI strategy — from thomsonreuters.com by Zach Warren

NASHVILLE — As the world approaches the two-year mark since the original introduction of OpenAI’s ChatGPT, law firms already have made in-roads into establishing generative artificial intelligence (GenAI) as a part of their firms. Whether for document and correspondence drafting, summarization of meetings and contracts, legal research, or for back-office capabilities, firms have been playing around with a number of use cases to see where the technology may fit into the future.

Thomson Reuters acquires pre-revenue legal LLM developer Safe Sign Technologies – Here’s why — from legaltechnology.com by Caroline Hill

Thomson Reuters announced (on August 21) it has made the somewhat unusual acquisition of UK pre-revenue startup Safe Sign Technologies (SST), which is developing legal-specific large language models (LLMs) and as of just eight months ago was operating in stealth mode.
…
There isn’t an awful lot of public information available about the company but speaking to Legal IT Insider about the acquisition, Hron explained that SST is focused in part on deep learning research as it pertains to training large language models and specifically legal large language models. The company as yet has no customers and has been focusing exclusively on developing the technology and the models.

Supio brings generative AI to personal injury cases — from techcrunch.com by Kyle Wiggers

Legal work is incredibly labor- and time-intensive, requiring piecing together cases from vast amounts of evidence. That’s driving some firms to pilot AI to streamline certain steps; according to a 2023 survey by the American Bar Association, 35% of law firms now use AI tools in their practice.

OpenAI-backed Harvey is among the big winners so far in the burgeoning AI legal tech space, alongside startups such as Leya and Klarity. But there’s room for one more, says Jerry Zhou and Kyle Lam, the co-founders of an AI platform for personal injury law called Supio, which emerged from stealth Tuesday with a $25 million investment led by Sapphire Ventures.

Supio uses generative AI to automate bulk data collection and aggregation for legal teams. In addition to summarizing info, the platform can organize and identify files — and snippets within files — that might be useful in outlining, drafting and presenting a case, Zhou said.

“As we enter the Age of Accessible Law” [Furlong] + other legaltech-related items

On 08/15/2024, in 21st century, 24x7x365 access, Access to Justice (A2J), Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Canada, emerging technologies, future, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, platforms, productivity / tips and tricks, tools, United States, vendors, by Daniel Christian

How Generative AI will change what lawyers do — from jordanfurlong.substack.com by Jordan Furlong
As we enter the Age of Accessible Law, a wave of new demand is coming our way — but AI will meet most of the surge. What will be left for lawyers? Just the most valuable and irreplaceable role in law.

AI can already provide actionable professional advice; within the next ten years, if it takes that long, I believe it will offer acceptable legal advice. No one really wants “AI courts,” but soon enough, we’ll have AI-enabled mediation and arbitration, which will have a much greater impact on everyday dispute resolution.

I think it’s dangerous to assume that AI will never be able to do something that lawyers now do. “Never” is a very long time. And AI doesn’t need to replicate the complete arsenal of the most gifted lawyer out there. If a Legal AI can replicate 80% of what a middling lawyer can do, for 10% of the cost, in 1% of the time, that’s all the revolution you’ll need.

From DSC:
It is my sincere hope that AI will open up the floodgates to FAR great Access to Justice (A2J) in the future.

It’s the Battle of the AI Legal Assistants, As LexisNexis Unveils Its New Protégé and Thomson Reuters Rolls Out CoCounsel 2.0 — from lawnext.com by Bob Ambrogi

It’s not quite BattleBots, but competitors LexisNexis and Thomson Reuters both made significant announcements today involving the development of generative AI legal assistants within their products.

Thomson Reuters, which last year acquired the CoCounsel legal assistant originally developed by Casetext, and which later announced plans to deploy it throughout its product lines, today unveiled what it says is the “supercharged” CoCounsel 2.0.

Meanwhile, LexisNexis said today it is rolling out the commercial preview version of its Protégé Legal AI Assistant, which it describes as a “substantial leap forward in personalized generative AI that will transform legal work.” It is part of the launch of the third generation of Lexis+ AI, the AI-driven legal research platform the company launched last year.

Thomson Reuters Launches CoCounsel 2.0 — from abovethelaw.com by Joe Patrice
New release promises results three times faster than the last version.

It seems like just last year we were talking about CoCounsel 1.0, the generative AI product launched by Casetext and then swiftly acquired by Thomson Reuters. That’s because it was just last year. Since then, Thomson Reuters has worked to marry Casetext’s tool with TR’s treasure trove of data.

It’s not an easy task. A lot of the legal AI conversation glosses over how constructing these tools requires a radical confrontation with the lawyers’ mind. Why do attorneys do what they do every day? Are there seemingly “inefficient” steps that actually serve a purpose? Does an AI “answer” advance the workflow or hinder the research alchemy? As recently as April, Thomson Reuters was busy hyping the fruits of its efforts to get ahead of these challenges.

Though this next item is not necessarily related to legaltech, it’s still relevant to the legal realm:

A Law Degree Is No Sure Thing— from cew.georgetown.edu
Some Law School Graduates Earn Top Dollar, but Many Do Not

Summary
Is law school worth it? A Juris Doctor (JD) offers high median earnings and a substantial earnings boost relative to a bachelor’s degree in the humanities or social sciences—two of the more common fields of study that lawyers pursue as undergraduate students. However, graduates of most law schools carry substantial student loan debt, which dims the financial returns associated with a JD.

A Law Degree Is No Sure Thing: Some Law School Graduates Earn Top Dollar, but Many Do Not finds that the return on investment (ROI) in earnings and career outcomes varies widely across law schools. The median earnings net of debt payments are $72,000 four years after graduation for all law school graduates, but exceed $200,000 at seven law schools. By comparison, graduates of 33 law schools earn less than $55,000 net of debt payments four years after graduation.

From DSC:
A former boss’ husband was starting up a local public defender’s office in Michigan and needed to hire over two dozen people. The salaries were in the $40K’s she said. This surprised me greatly, as I thought all lawyers were bringing in the big bucks. This is not the case, clearly. Many lawyers do not make the big bucks, as this report shows:

…graduates of 33 law schools earn less than $55,000 net of debt payments four years after graduation.

.

Also relevant/see:

Explore Our ROI Rankings — from cew.georgetown.edu

2024 CHLOE 9 Report
August 13, 2024

CHLOE 9 | Strategy Shift: Institutions Respond to Sustained Online Demand

The ninth installment of the Changing Landscape of Online Education (CHLOE) report, produced by Quality MattersTM , Eduventures® and Educause — offers an overview of the current state of online learning in higher education as well as insights into its future development. The report was compiled by surveying chief online officers (COLOs) — the professionals best situated to assess the current state of this ever-developing field — at U.S. two- and four-year colleges and universities.

The majority of survey participants report both learner demand for online learning surging and institutional strategic priorities shifting to meet this demand, as well as the adaptation to the new presence of AI tools in the academic environment. Notable findings from the 53-page report include:

Priorities for Online Learning: Institutions are increasingly prioritizing the development of online versions of both on-campus courses (69%) and on-campus degrees (65%) in order to meet demand. In terms of their topmost priority, 43% of COLOs chose online versions of on-campus degrees (the majority of public four-year institutions identified this as their top priority), with online versions of on-campus courses selected as the top priority by 39%.
Tuition and Institutional Revenue: …
AI in Higher Education: …
Third-Party Servicers: …
Regular and Substantive Interaction: …

Two-thirds of colleges are prioritizing online versions of on-campus programs, poll finds — from highereddive.com by Natalie Schwartz
The ninth Changing Landscape of Online Education survey offers a glimpse into the distance education marketplace.

Dive Brief:

Roughly two-thirds of colleges are making it a priority to create virtual versions of on-campus classes and programs, according to an annual survey of chief online learning officers.
College officials likely see creating online versions of existing programs as easier than launching entirely new academic programs, according to the report.
However, 48% of chief online learning officers still said their priorities included launching new online programs with no campus equivalent.

CHLOE 9 Report by Quality Matters, Eduventures, and EDUCAUSE Highlights Continuing Shift of Learner Demand and Institutional Strategy Toward Online Learning — from marketwatch.com
Key findings include increased demand from on-campus students for online options, a notable shift in institutional strategies to align with this demand, and the growing use of artificial intelligence in online education.

BOSTON, Aug. 13, 2024 /PRNewswire-PRWeb/ — Quality Matters, EDUCAUSE, and Eduventures Research have released the ninth edition of the Changing Landscape of Online Education (CHLOE) report, compiling the perspectives of chief online learning officers (COLOs) around the United States. CHLOE 9: Strategy Shift: Institutions Respond to Sustained Online Demand reveals a continued increase in student preference for online learning and the strategies institutions are employing to address this demand.

The report also outlines institutional perspectives on a host of other factors contributing to the state of online education, including artificial intelligence, third-party servicers, OPMs and regular and substantive interaction.

Addendum on 8/15/24:

The State of Online Learning | The CHLOE 9 Survey – Part 1 — from onedtech.philhillaa.com by Glenda Morgan

For the uninitiated, since 2017 the CHLOE report has surveyed Chief Online Learning Officers (COLOs) at higher education institutions in the US to map the changing landscape of online education. It has become an invaluable resource in understanding the topography of online learning in the US as well as how it is changing as more institutions move online and that environment becomes more regulated and more competitive.

I found this year’s survey much more engaging than in recent years. Many of the questions asked and the way they were framed address the issues of concern to people managing online learning. There is a lot in the survey, and I am going to break my coverage into two parts. In this first post, I want to cover the more general findings of the survey as well as some of my concerns with it. In my next post, I want to do a deeper dive into what the CHLOE survey reports about outsourcing and OPMs, a topic that we have covered extensively in this newsletter.

This is what AI is for. Just this use case alone is worth every dollar invested in it. pic.twitter.com/vaOm3dpyxK

— Andriy Burkov (@burkov) August 10, 2024

From DSC:
The above item is simply excellent!!! I love it!

We’re going to see a lot more of the Square, Stripe, Shopify-type startups pop up for agentic AI.

This one is like an AI-human broker.

1) Prompt an AI with a need
2) Give the AI a budget (real money)
3) AI turns need into plan with tasks
4) AI finds humans to complete the… https://t.co/UXf1bNZ4AK

— Allie K. Miller (@alliekmiller) August 11, 2024

Google just announced their massive AI update in Chrome.

Google Lens is now inside Chrome

Here’s everything you need to know: pic.twitter.com/aXdqvi5wMP

— Poonam Soni (@CodeByPoonam) August 4, 2024

Also relevant/see:

3 new Chrome AI features for even more helpful browsing — from blog.google from Parisa Tabriz
See how Chrome’s new AI features, including Google Lens for desktop and Tab compare, can help you get things done more easily on the web.

On speaking to AI — from oneusefulthing.org by Ethan Mollick
Voice changes a lot of things

So, let’s talk about ChatGPT’s new Advanced Voice mode and the new AI-powered Siri. They are not just different approaches to talking to AI. In many ways, they represent the divide between two philosophies of AI – Copilots versus Agents, small models versus large ones, specialists versus generalists.

Your guide to AI – August 2024 — from nathanbenaich.substack.com by Nathan Benaich and Alex Chalmers

Microsoft says OpenAI is now a competitor in AI and search — from cnbc.com by Jordan Novet

Key Points

Microsoft’s annually updated list of competitors now includes OpenAI, a long-term strategic partner.
The change comes days after OpenAI announced a prototype of a search engine.
Microsoft has reportedly invested $13 billion into OpenAI.

ChatGPT Cheat Sheet? pic.twitter.com/ETsPvJQfVA

— Nelly R Q (@nrqa__) August 5, 2024

Excerpt from by Graham Clay

1. Flux, an open-source text-to-image creator that is comparable to industry leaders like Midjourney, was released by Black Forest Labs (the “original team” behind Stable Diffusion). It is capable of generating high quality text in images (there are tons of educational use cases). You can play with it on their demo page, on Poe, or by running it on your own computer (tutorial here).

Other items re: Flux:

How to FLUX — from heatherbcooper.substack.com by Heather Cooper
Where to use FLUX online & full tutorial to create a sleek ad in minutes

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Also from Heather Cooper:

Introducing FLUX: Open-Source text to image model

FLUX… has been EVERYWHERE this week, as I’m sure you have seen. Developed by Black Forest Labs, is an open-source image generation model that’s gaining attention for its ability to rival leading models like Midjourney, DALL·E 3, and SDXL.

What sets FLUX apart is its blend of creative freedom, precision, and accessibility—it’s available across multiple platforms and can be run locally.

Why FLUX Matters
FLUX’s open-source nature makes it accessible to a broad audience, from hobbyists to professionals.

It offers advanced multimodal and parallel diffusion transformer technology, delivering high visual quality, strong prompt adherence, and diverse outputs.

It’s available in 3 models:
FLUX.1 [pro]: A high-performance, commercial image synthesis model.
FLUX.1 [dev]: An open-weight, non-commercial variant of FLUX.1 [pro]
FLUX.1 [schnell]: A faster, distilled version of FLUX.1, operating up to 10x quicker.

Daily Digest: Huge (in)Flux of AI videos. — from bensbites.beehiiv.com
PLUS: Review of ChatGPT’s advanced voice mode.

During the weekend, image models made a comeback. Recently released Flux models can create realistic images with near-perfect text—straight from the model, without much patchwork. To get the party going, people are putting these images into video generation models to create pretty–trippy–videos. I can’t identify half of them as AI, and they’ll only get better. See this tutorial on how to create a video ad for your product..

7 not only cool but handy use cases of new Claude — from techthatmatters.beehiiv.com by Harsh Makadia

Data visualization
Infographic
Copy the UI of a website
…and more

Achieving Human Level Competitive Robot Table Tennis — from sites.google.com

DSC: Think about the impacts/ramifications of global, virtual, real-time language translations!

On 08/12/2024, in 21st century, 24x7x365 access, A/V -- audio/visual, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, assistive technologies, business, cloud-based computing / apps / other cloud-related, collaboration, colleges, communications, communities of practice, community colleges, corporate / business world, corporate universities / corporate training, Daniel S. Christian, digital audio, education technology, emerging technologies, Europe, experimentation, future, future of higher education, game-changing environment, global / globalization, higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, languages and translation, law schools, learning ecosystem, Learning from the Living [Class] Room, Natural Language Processing (NLP), Open AI, society, technologies for your home, telelegal, telemedicine / telehealth / virtual health, tools, training / L&D, United States, universities, usability, user experience (UX), vendors, videoconferencing, Virtual courts and law firms, virtual field trips, virtual K-12 schools, vision/possibilities, web-based collaboration, by Daniel Christian

Here’s the first group call with @ChatGPTapp Advanced Voice Mode.

Watch ChatGPT act like a native interpreter speaking to @skirano in Italian, and to me in Urdu.

Bonus, look out for the Mario impression near the end ? pic.twitter.com/TaVhJ6Q75J

— Ammaar Reshi (@ammaar) August 4, 2024

ChatGPT Voice Mode Is Here: Will It Revolutionize AI Communication?

Advanced Voice Mode – FAQ — from help.openai.com
Learn more about our Advanced Voice capabilities.

Advanced Voice Mode on ChatGPT features more natural, real-time conversations that pick up on and respond with emotion and non-verbal cues.

Advanced Voice Mode on ChatGPT is currently in a limited alpha. Please note that it may make mistakes, and access and rate limits are subject to change.

From DSC:
Think about the impacts/ramifications of global, virtual, real-time language translations!!! This type of technology will create very powerful, new affordances in our learning ecosystems — as well as in business communications, with the various governments across the globe, and more!

The Digital Writing Lab: Supporting teachers to develop and empower digitally literate citizens. [McKnight, Furze, Zomer]

On 08/12/2024, in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Australia, blogs / blogging / vlogging, collaboration, content development, aggregation, repositories, creativity, digital learning, education, education technology, emerging technologies, ethics, experimentation, ideas, instructional design, intelligent systems, K-12 related, learning, learning ecosystem, Learning Experience Design, multimedia, new media literacies, parents/guardians, pedagogy, professional development, research, teachers, teaching & learning, writing, youth, by Daniel Christian

Digital Writing Lab

About this Project

The Digital Writing Lab is a key component of the Australian national Teaching Digital Writing project, which runs from 2022-2025.

This stage of the broader project involves academic and secondary English teacher collaboration to explore how teachers are conceptualising the teaching of digital writing and what further supports they may need.

Previous stages of the project included archival research reviewing materials related to digital writing in Australia’s National Textbook Collection, and a national survey of secondary English teachers. You can find out more about the whole project via the project blog.

Who runs the project?

Project Lead Lucinda McKnight is an Associate Professor and Australian Research Council (ARC) DECRA Fellow researching how English teachers can connect the teaching of writing to contemporary media and students’ lifeworlds.

She is working with Leon Furze, who holds the doctoral scholarship attached to this project, and Chris Zomer, the project Research Fellow. The project is located in the Research for Educational Impact (REDI) centre at Deakin University, Melbourne.

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“For college students—and for higher ed itself—AI is a required course” [Merisotis] + other items re: AI in our learning ecosystems

On 08/03/2024, in 21st century, 24x7x365 access, accessibility / UDL, adjunct faculty, apprenticeships, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Bias | Diversity Equity & Inclusion (DE&I), bots, career development, colleges, community colleges, content development, aggregation, repositories, copyright/ownership/NFTs, education, education technology, emerging technologies, faculty, future, future of higher education, game-changing environment, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, learning, learning agents, learning ecosystem, Learning Experience Design, platforms, productivity / tips and tricks, real-world assignments, reinvent, skills, student-related, teachers, teaching & learning, teaching online, technologies for your home, technology (general), tools, trends, United States, universities, vendors, vision/possibilities, workplace, youth, by Daniel Christian

For college students—and for higher ed itself—AI is a required course — from forbes.com by Jamie Merisotis

Some of the nation’s biggest tech companies have announced efforts to reskill people to avoid job losses caused by artificial intelligence, even as they work to perfect the technology that could eliminate millions of those jobs.

It’s fair to ask, however: What should college students and prospective students, weighing their choices and possible time and financial expenses, think of this?

The news this spring was encouraging for people seeking to reinvent their careers to grab middle-class jobs and a shot at economic security.

Addressing Special Education Needs With Custom AI Solutions — from teachthought.com
AI can offer many opportunities to create more inclusive and effective learning experiences for students with diverse learning profiles.

For too long, students with learning disabilities have struggled to navigate a traditional education system that often fails to meet their unique needs. But what if technology could help bridge the gap, offering personalized support and unlocking the full potential of every learner?

Artificial intelligence (AI) is emerging as a powerful ally in special education, offering many opportunities to create more inclusive and effective learning experiences for students with diverse learning profiles.

.

11 Summer AI Developments Important to Educators — from stefanbauschard.substack.com by Stefan Bauschard
Equity demands that we help students prepare to thrive in an AI-World

*SearchGPT
*Smaller & on-device (phones, glasses) AI models
*AI TAs
*Access barriers decline, equity barriers grow
*Claude Artifacts and Projects
*Agents, and Agent Teams of a million+
*Humanoid robots & self-driving cars
*AI Curricular integration
*Huge video and video-segmentation gains
*Writing Detectors — The final blow
*AI Unemployment, Student AI anxiety, and forward-thinking approaches
*Alternative assessments

Academic Fracking: When Publishers Sell Scholars Work to AI — from aiedusimplified.substack.com by Lance Eaton
Further discussion of publisher practices selling scholars’ work to AI companies

Last week, I explored AI and academic publishing in response to an article that came out a few weeks ago about a deal Taylor & Francis made to sell their books to Microsoft and one other AI company (unnamed) for a boatload of money.

Since then, two more pieces have been widely shared including this piece from Inside Higher Ed by Kathryn Palmer (and to which I was interviewed and mentioned in) and this piece from Chronicle of Higher Ed by Christa Dutton. Both pieces try to cover the different sides talking to authors, scanning the commentary online, finding some experts to consult and talking to the publishers. It’s one of those things that can feel like really important and also probably only to a very small amount of folks that find themselves thinking about academic publishing, scholarly communication, and generative AI.

At the Crossroads of Innovation: Embracing AI to Foster Deep Learning in the College Classroom — from er.educause.edu by Dan Sarofian-Butin
AI is here to stay. How can we, as educators, accept this change and use it to help our students learn?

The Way Forward
So now what?

In one respect, we already have a partial answer. Over the last thirty years, there has been a dramatic shift from a teaching-centered to a learning-centered education model. High-impact practices, such as service learning, undergraduate research, and living-learning communities, are common and embraced because they help students see the real-world connections of what they are learning and make learning personal.11

Therefore, I believe we must double down on a learning-centered model in the age of AI.

The first step is to fully and enthusiastically embrace AI.
…
The second step is to find the “jagged technological frontier” of using AI in the college classroom.

.

Futures Thinking in Education — from gettingsmart.com by Getting Smart Staff

Key Points

Educators should leverage these tools to prepare for rapid changes driven by technology, climate, and social dynamics.
Cultivating empathy for future generations can help educators design more impactful and forward-thinking educational practices.

Learning Ecosystems

“How generative AI can help lawyers and law students hone their legal skills” + “Legal tech disruption: Doing it on purpose”

How far should we go in allowing technology to aid our decision-making processes? [Schlegel] + other legaltech-related items

Workera’s CEO was mentored by Andrew Ng. Now he wants an AI agent to mentor you. [Zeff]

Why Jensen Huang and Marc Benioff see ‘gigantic’ opportunity for agentic AI [Plumb]

“As we enter the Age of Accessible Law” [Furlong] + other legaltech-related items

The 2024 CHLOE 9 Report is out. The Changing Landscape of Online Education Project.

DSC: Think about the impacts/ramifications of global, virtual, real-time language translations!

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