law schools

DSC: I agree with Brandon Busteed on this item — excellent pricing/tuition transparency!

On 09/18/2024, in changing business models, colleges, community colleges, cost of getting a degree, faculty, higher education, ideas, law schools, leadership, learning ecosystem, new business models, parents/guardians, society, sociology, strategy, student-related, United States, universities, by Daniel Christian

From DSC:
The cost of obtaining a degree is heavily on my mind this morning as I’m having to withdraw funds — again — to help our son get through his senior year of college. He’s a Marine Reservist and he continues to do his best to contribute to his expenses…but man o’ man, these expenses are just crazy.

So it’s no surprise this item caught my eye! Anything colleges and universities can do to bring down the prices — as well as make the total prices more transparent and upfront — would be greatly appreciated by students and families alike.

Also related, see:

How Rising Higher Ed Costs Change Student Attitudes About College — from edsurge.com by Jeffrey R. Young

But she admits the issue is complicated. She said one of her own daughters, who is now 26, would have benefitted from a gap year. “The problem was the cost was a major factor,” Klein told me. “She was offered huge financial aid by a very good school, and I said, ‘We don’t know if you take a gap year if that offer is going to be on the table. And I can’t afford this school without that offer.’”

Legal budgets will get an AI-inspired makeover in 2025: survey [Bachman]

On 09/17/2024, in Artificial Intelligence/Agents/LLMs/and Related, bots, corporate / business world, emerging technologies, innovation, intelligent systems, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, skills, by Daniel Christian

Legal budgets will get an AI-inspired makeover in 2025: survey — from legaldive.com by Justin Bachman
Nearly every general counsel is budgeting to add generative AI tools to their departments – and they’re all expecting to realize efficiencies by doing so.

Dive Brief:

Nearly all general counsel say their budgets are up slightly after wrestling with widespread cuts last year. And most of them, 61%, say they expect slightly larger budgets next year as well, an average of 5% more, according to the 2025 In-House Legal Budgeting Report from Axiom and Wakefield Research. Technology was ranked as the top in-house investment priority for both 2024 and 2025 for larger companies.
Legal managers predict their companies will boost investment on technology and real estate/facilities in 2025, while reducing outlays for human resources and mergers and acquisition activity, according to the survey. This mix of changing priorities might disrupt legal budgets.
Among the planned legal tech spending, the top three areas for investment are virtual legal assistants/AI-powered chatbots (35%); e-billing and spend-management software (31%); and contract management platforms (30%).

From DSC:
Anyone who is involved in putting on conferences should at least be aware that this kind of thing is now possible!!! Check out the following posting from Adobe (with help from Tata Consultancy Services (TCS).

From impossible to POSSIBLE: Tata Consultancy Services uses Adobe Firefly generative AI and Acrobat AI Assistant to turn hours of work into minutes — from blog.adobe.com

This year, the organizers — innovative industry event company Beyond Ordinary Events — turned to Tata Consultancy Services (TCS) to make the impossible “possible.” Leveraging Adobe generative AI technology across products like Adobe Premiere Pro and Acrobat, they distilled hours of video content in minutes, delivering timely dispatches to thousands of attendees throughout the conference.
…
For POSSIBLE ’24, Muche had an idea for a daily dispatch summarizing each day’s sessions so attendees wouldn’t miss a single insight. But timing would be critical. The dispatch needed to reach attendees shortly after sessions ended to fuel discussions over dinner and carry the excitement over to the next day.

The workflow started in Adobe Premiere Pro, with the writer opening a recording of each session and using the Speech to Text feature to automatically generate a transcript. They saved the transcript as a PDF file and opened it in Adobe Acrobat Pro. Then, using Adobe Acrobat AI Assistant, the writer asked for a session summary.

It was that fast and easy. In less than four minutes, one person turned a 30-minute session into an accurate, useful summary ready for review and publication.

By taking advantage of templates, the designer then added each AI-enabled summary to the newsletter in minutes. With just two people and generative AI technology, TCS accomplished the impossible — for the first time delivering an informative, polished newsletter to all 3,500 conference attendees just hours after the last session of the day.

“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.

ILTACON 2024: Selling legal tech’s monorail — from abajournal.com by Nicole Black

The bottom line: The promise of GenAI for our profession is great, but all signs point to the realization of its potential being six months out or more. So the question remains: Will generative AI change the legal landscape, ushering in an era of frictionless, seamless legal work? Or have we reached the pinnacle of its development, left only with empty promises? I think it’s the former since there is so much potential, and many companies are investing significantly in AI development, but only time will tell.

From LegalZoom to AI-Powered Platforms: The Rise of Smart Legal Services — from tmcnet.com by Artem Vialykh

In today’s digital age, almost every industry is undergoing a transformation driven by technological innovation, and the legal field is no exception. Traditional legal services, often characterized by high fees, time-consuming processes, and complex paperwork, are increasingly being challenged by more accessible, efficient, and cost-effective alternatives.

LegalZoom, one of the pioneers in offering online legal services, revolutionized the way individuals and small businesses accessed legal assistance. However, with the advent of artificial intelligence (AI) and smart technologies, we are witnessing the rise of even more sophisticated platforms that are poised to reshape the legal landscape further.

The Rise of AI-Powered Legal Platforms
AI-powered legal platforms represent the next frontier in legal services. These platforms leverage the power of artificial intelligence, machine learning, and natural language processing to provide legal services that are not only more efficient but also more accurate and tailored to the needs of the user.

AI-powered platforms offer many advantages, with one of them being their ability to rapidly process and analyze large amounts of data quickly. This capability allows them to provide users with precise legal advice and document generation in a fraction of the time it would take a human attorney. For example, AI-driven platforms can review and analyze contracts, identify potential legal risks, and even suggest revisions, all in real-time. This level of automation significantly reduces the time and cost associated with traditional legal services.

AI, Market Dynamics, and the Future of Legal Services with Harbor’s Zena Applebaum — from geeklawblog.com by Greg Lambert

Zena talks about the integration of generative AI (Gen AI) into legal research tools, particularly at Thomson Reuters, where she previously worked. She emphasizes the challenges in managing expectations around AI’s capabilities while ensuring that the products deliver on their promises. The legal industry has high expectations for AI to simplify the time-consuming and complex nature of legal research. However, Applebaum highlights the need for balance, as legal research remains inherently challenging, and overpromising on AI’s potential could lead to dissatisfaction among users.

Zena shares her outlook on the future of the legal industry, particularly the growing sophistication of in-house legal departments and the increasing competition for legal talent. She predicts that as AI continues to enhance efficiency and drive changes in the industry, the demand for skilled legal professionals will rise. Law firms will need to adapt to these shifts by embracing new technologies and rethinking their strategies to remain competitive in a rapidly evolving market.

Future of the Delivery of Legal Services — from americanbar.org
The legal profession is in the midst of unprecedented change. Learn what might be next for the industry and your bar.

What. Just. Happened? (Post-ILTACon Emails Week of 08-19-2024) — from geeklawblog.com by Greg Lambert

Here’s this week’s edition of What. Just. Happened? Remember, you can track these daily with the AI Lawyer Talking Tech podcast (Spotify or Apple) which covers legal tech news and summarizes stories.

From DSC:
And although this next one is not necessarily legaltech-related, I wanted to include it here anyway — as I’m always looking to reduce the costs of obtaining a degree.

Improve the Diversity of the Profession By Addressing the Costs of Becoming a Lawyer — from lssse.indiana.edu by Joan Howarth

Not surprisingly, then, research shows that economic assets are a significant factor in bar passage. And LSSSE research shows us the connections between the excessive expense of becoming a lawyer and the persistent racial and ethnic disparities in bar passage rate.

The racial and ethnic bar passage disparities are extreme. For example, the national ABA statistics for first time passers in 2023-24 show White candidates passing at 83%, compared to Black candidates (57%) with Asians and Hispanics in the middle (75% and 69%, respectively).

These disturbing figures are very related to the expense of becoming a lawyer.

Finally, though, after decades of stability — or stagnation — in attorney licensing, change is here. And some of the changes, such as the new pathway to licensure in Oregon based on supervised practice instead of a traditional bar exam, or the Nevada Plan in which most of the requirements can be satisfied during law school, should significantly decrease the costs of licensure and add flexibility for candidates with responsibilities beyond studying for a bar exam. These reforms are long overdue.

Thomson Reuters acquires Safe Sign Technologies — from legaltechnology.com by Caroline Hill

Thomson Reuters today (21 August) announced it has acquired Safe Sign Technologies (SST), a UK-based startup that is developing legal-specific large language models (LLMs) and as of just eight months ago was operating in stealth mode.

7+ items regarding AI in our learning ecosystems

On 08/26/2024, in accessibility / UDL, adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, Bias | Diversity Equity & Inclusion (DE&I), business, career development, change, colleges, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital audio, digital storytelling, digital video, education technology, emerging technologies, experimentation, faculty, graphics, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, IT in HE, K-12 related, law schools, learning ecosystem, Learning Experience Design, multimedia, music, neurodivergent/special needs, pace of change, productivity / tips and tricks, skills, student-related, teaching & learning, training / L&D, United States, universities, workplace, by Daniel Christian

What Students Want: Key Results from DEC Global AI Student Survey 2024 — from digitaleducationcouncil.com by Digital Education Council

86% of students globally are regularly using AI in their studies, with 54% of them using AI on a weekly basis, the recent Digital Education Council Global AI Student Survey found.
ChatGPT was found to be the most widely used AI tool, with 66% of students using it, and over 2 in 3 students reported using AI for information searching.
Despite their high rates of AI usage, 1 in 2 students do not feel AI ready. 58% reported that they do not feel that they had sufficient AI knowledge and skills, and 48% do not feel adequately prepared for an AI-enabled workplace.

Chatting with WEF about ChatGPT in the classroom — from futureofbeinghuman.com by Andrew Maynard
A short video on generative AI in education from the World Economic Forum

The Post-AI Instructional Designer — from drphilippahardman.substack.com by Dr. Philippa Hardman
How the ID role is changing, and what this means for your key skills, roles & responsibilities

Specifically, the study revealed that teachers who reported most productivity gains were those who used AI not just for creating outputs (like quizzes or worksheets) but also for seeking input on their ideas, decisions and strategies.

Those who engaged with AI as a thought partner throughout their workflow, using it to generate ideas, define problems, refine approaches, develop strategies and gain confidence in their decisions gained significantly more from their collaboration with AI than those who only delegated functional tasks to AI.

Leveraging Generative AI for Inclusive Excellence in Higher Education — from er.educause.edu by Lorna Gonzalez, Kristi O’Neil-Gonzalez, Megan Eberhardt-Alstot, Michael McGarry and Georgia Van Tyne
Drawing from three lenses of inclusion, this article considers how to leverage generative AI as part of a constellation of mission-centered inclusive practices in higher education.

The hype and hesitation about generative artificial intelligence (AI) diffusion have led some colleges and universities to take a wait-and-see approach.Footnote1 However, AI integration does not need to be an either/or proposition where its use is either embraced or restricted or its adoption aimed at replacing or outright rejecting existing institutional functions and practices. Educators, educational leaders, and others considering academic applications for emerging technologies should consider ways in which generative AI can complement or augment mission-focused practices, such as those aimed at accessibility, diversity, equity, and inclusion. Drawing from three lenses of inclusion—accessibility, identity, and epistemology—this article offers practical suggestions and considerations that educators can deploy now. It also presents an imperative for higher education leaders to partner toward an infrastructure that enables inclusive practices in light of AI diffusion.

An example way to leverage AI:

How to Leverage AI for Identity Inclusion
Educators can use the following strategies to intentionally design instructional content with identity inclusion in mind.

Provide a GPT or AI assistant with upcoming lesson content (e.g., lecture materials or assignment instructions) and ask it to provide feedback (e.g., troublesome vocabulary, difficult concepts, or complementary activities) from certain perspectives. Begin with a single perspective (e.g., first-time, first-year student), but layer in more to build complexity as you interact with the GPT output.

Gen AI’s next inflection point: From employee experimentation to organizational transformation — from mckinsey.com by Charlotte Relyea, Dana Maor, and Sandra Durth with Jan Bouly
As many employees adopt generative AI at work, companies struggle to follow suit. To capture value from current momentum, businesses must transform their processes, structures, and approach to talent.

To harness employees’ enthusiasm and stay ahead, companies need a holistic approach to transforming how the whole organization works with gen AI; the technology alone won’t create value.

Our research shows that early adopters prioritize talent and the human side of gen AI more than other companies (Exhibit 3). Our survey shows that nearly two-thirds of them have a clear view of their talent gaps and a strategy to close them, compared with just 25 percent of the experimenters. Early adopters focus heavily on upskilling and reskilling as a critical part of their talent strategies, as hiring alone isn’t enough to close gaps and outsourcing can hinder strategic-skills development. Finally, 40 percent of early-adopter respondents say their organizations provide extensive support to encourage employee adoption, versus 9 percent of experimenter respondents.

7 Ways to Use AI Music in Your Classroom — from classtechtips.com by Monica Burns

Change blindness — from oneusefulthing.org by Ethan Mollick
21 months later

I don’t think anyone is completely certain about where AI is going, but we do know that things have changed very quickly, as the examples in this post have hopefully demonstrated. If this rate of change continues, the world will look very different in another 21 months. The only way to know is to live through it.

My AI Breakthrough — from mgblog.org by Miguel Guhlin

Over the subsequent weeks, I’ve made other adjustments, but that first one was the one I asked myself:

What are you doing?
Why are you doing it that way?
How could you change that workflow with AI?
Applying the AI to the workflow, then asking, “Is this what I was aiming for? How can I improve the prompt to get closer?”
Documenting what worked (or didn’t). Re-doing the work with AI to see what happened, and asking again, “Did this work?”

So, something that took me WEEKS of hard work, and in some cases I found impossible, was made easy. Like, instead of weeks, it takes 10 minutes. The hard part? Building the prompt to do what I want, fine-tuning it to get the result. But that doesn’t take as long now.

“Best Legal Tech 2024” [Theorem] + “Essential Types of Legal Cases Every Business Owner Should Know” [lawfuel.com]

On 08/25/2024, in law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, vendors, by Daniel Christian

Best Legal Tech 2024 — from ecosystem.theoremlegal.com

Nothing but the best enterprise legaltech.
Find the best software for anything and everything you want to accomplish, as decided by software buyers on the world’s largest and most trusted legal tech marketplace.

Theorem is proud to share our 2024 LEGAL TAM & Best LegalTech Awards List
Each day, new and returning users visit Theorem to leverage our growing community of trusted users, contributors and reviewers, to feel empowered to make intelligent software buying decisions for their business.

Best Software awards are earned by companies across the globe that provide best-in-class products and experience for their customers, as determined by verified users from our network of leading legal organizations.

Essential Types of Legal Cases Every Business Owner Should Know — from lawfuel.com

Running a business requires more than just a sharp mind for strategy and a keen eye for market trends. Legal awareness is crucial for safeguarding your business against potential liabilities. In this article, we will explore the key legal cases every business owner should know, with a particular focus on premises liability and product liability cases.

“Let’s Make a Movie Teaser With AI” [Nest] & 9+ other items re: AI in our learning ecosystems

On 08/20/2024, in accessibility / UDL, adjunct faculty, art, Artificial Intelligence/Agents/LLMs/and Related, assistive technologies, Bias | Diversity Equity & Inclusion (DE&I), career development, change, communications, creativity, digital audio, digital storytelling, digital video, education technology, emerging technologies, engagement / engaging students, higher education, ideas, instructional design, intelligent systems, IT in HE, law schools, leadership, learning, learning ecosystem, Learning Experience Design, legislatures / government / legal, media/film, multimedia, neurodivergent/special needs, NVIDIA, parents/guardians, participation, personalized/customized learning, productivity / tips and tricks, teaching & learning, United States, universities, by Daniel Christian

One thing often happens at keynotes and conferences. It surprised me…. — from donaldclarkplanb.blogspot.com by Donald Clark

AI is welcomed by those with dyslexia, and other learning issues, helping to mitigate some of the challenges associated with reading, writing, and processing information. Those who want to ban AI want to destroy the very thing that has helped most on accessibility. Here are 10 ways dyslexics, and others with issues around text-based learning, can use AI to support their daily activities and learning.

- Text-to-Speech & Speech-to-Text Tools…
- Grammar and Spelling Assistants…
- Comprehension Tools…
- Visual and Multisensory Tools…
- …and more

Let’s Make a Movie Teaser With AI — from whytryai.com by Daniel Nest
How to use free generative AI tools to make a teaser trailer.

Here are the steps and the free tools we can use for each.

Brainstorm ideas & flesh out the concept.
1. Claude 3.5 Sonnet
2. Google Gemini 1.5 Pro
3. …or any other free LLM
Create starting frames for each scene.
1. FLUX.1 Pro
2. Ideogram
3. …or any other free text-to-image model
Bring the images to life.
1. Kling AI
2. Luma Dream Machine
3. Runway Gen-2
Generate the soundtrack.
1. Udio
2. Suno
Add sound effects.
1. ElevenLabs Sound Effects
2. ElevenLabs VideoToSoundEffects
3. Meta Audiobox
Put everything together.
1. Microsoft Clipchamp
2. DaVinci Resolve
3. …or any other free video editing tool.

Here we go.

Is AI in Schools Promising or Overhyped? Potentially Both, New Reports Suggest — from the74million.org by Greg Toppo; via Claire Zau
One urges educators to prep for an artificial intelligence boom. The other warns that it could all go awry. Together, they offer a reality check.

Are U.S. public schools lagging behind other countries like Singapore and South Korea in preparing teachers and students for the boom of generative artificial intelligence? Or are our educators bumbling into AI half-blind, putting students’ learning at risk?

Or is it, perhaps, both?

Two new reports, coincidentally released on the same day last week, offer markedly different visions of the emerging field: One argues that schools need forward-thinking policies for equitable distribution of AI across urban, suburban and rural communities. The other suggests they need something more basic: a bracing primer on what AI is and isn’t, what it’s good for and how it can all go horribly wrong.

Bite-Size AI Content for Faculty and Staff — from aiedusimplified.substack.com by Lance Eaton
Another two 5-tips videos for faculty and my latest use case: creating FAQs!

I had an opportunity recently to do more of my 15-minute lightning talks. You can see my lightning talks from late winter in this post, or can see all of them on my YouTube channel. These two talks were focused on faculty in particular.

Also from Lance, see:

AI in Education: Leading a Paradigm Shift — from gettingsmart.com by Dr. Tyler Thigpen

Despite possible drawbacks, an exciting wondering has been—What if AI was a tipping point helping us finally move away from a standardized, grade-locked, ranking-forced, batched-processing learning model based on the make believe idea of “the average man” to a learning model that meets every child where they are at and helps them grow from there?

I get that change is indescribably hard and there are risks. But the integration of AI in education isn’t a trend. It’s a paradigm shift that requires careful consideration, ongoing reflection, and a commitment to one’s core values. AI presents us with an opportunity—possibly an unprecedented one—to transform teaching and learning, making it more personalized, efficient, and impactful. How might we seize the opportunity boldly?

California and NVIDIA Partner to Bring AI to Schools, Workplaces — from govtech.com by Abby Sourwine
The latest step in Gov. Gavin Newsom’s plans to integrate AI into public operations across California is a partnership with NVIDIA intended to tailor college courses and professional development to industry needs.

California Gov. Gavin Newsom and tech company NVIDIA joined forces last week to bring generative AI (GenAI) to community colleges and public agencies across the state. The California Community Colleges Chancellor’s Office (CCCCO), NVIDIA and the governor all signed a memorandum of understanding (MOU) outlining how each partner can contribute to education and workforce development, with the goal of driving innovation across industries and boosting their economic growth.

Listen to anything on the go with the highest-quality voices — from elevenlabs.io; via The Neuron
The ElevenLabs Reader App narrates articles, PDFs, ePubs, newsletters, or any other text content. Simply choose a voice from our expansive library, upload your content, and listen on the go.

Per The Neuron

Some cool use cases:

Judy Garland can teach you biology while walking to class.
James Dean can narrate your steamy romance novel.
Sir Laurence Olivier can read you today’s newsletter—just paste the web link and enjoy!

Why it’s important: ElevenLabs shared how major Youtubers are using its dubbing services to expand their content into new regions with voices that actually sound like them (thanks to ElevenLabs’ ability to clone voices).
Oh, and BTW, it’s estimated that up to 20% of the population may have dyslexia. So providing people an option to listen to (instead of read) content, in their own language, wherever they go online can only help increase engagement and communication.

How Generative AI Improves Parent Engagement in K–12 Schools — from edtechmagazine.com by Alexadner Slagg
With its ability to automate and personalize communication, generative artificial intelligence is the ideal technological fix for strengthening parent involvement in students’ education.

As generative AI tools populate the education marketplace, the technology’s ability to automate complex, labor-intensive tasks and efficiently personalize communication may finally offer overwhelmed teachers a way to effectively improve parent engagement.
…
These personalized engagement activities for students and their families can include local events, certification classes and recommendations for books and videos. “Family Feed might suggest courses, such as an Adobe certification,” explains Jackson. “We have over 14,000 courses that we have vetted and can recommend. And we have books and video recommendations for students as well.”

Including personalized student information and an engagement opportunity makes it much easier for parents to directly participate in their children’s education.

Will AI Shrink Disparities in Schools, or Widen Them? — edsurge.com by Daniel Mollenkamp
Experts predict new tools could boost teaching efficiency — or create an “underclass of students” taught largely through screens.

UC Berkeley Law School To Offer Advanced Law Degree Focused On AI [Nietzel]

On 08/20/2024, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, corporate / business world, curriculum, emerging technologies, innovation, law schools, legal technologies, legislatures / government / legal, United States, universities, by Daniel Christian

UC Berkeley Law School To Offer Advanced Law Degree Focused On AI — from forbes.com by Michael T. Nietzel; via Greg Lambert

The University of California, Berkeley School of Law has announced that it will offer what it’s calling “the first-ever law degree with a focus on artificial intelligence (AI).” The new AI-focused Master of Laws (LL.M.) program is scheduled to launch in summer 2025.

The program, which will award an AI Law and Regulation certificate for students enrolled in UC Berkeley Law’s LL.M. executive track, is designed for working professionals and can be completed over two summers or through remote study combined with one summer on campus.

Also relevant, see:

Training AI to Mentor Like a Partner: Insights from Dr. Megan Ma — from geeklawblog.com

This week on The Geek in Review, we discuss the future of legal technology with Dr. Megan Ma, a distinguished research fellow and Associate Director of the Stanford Program in Law, Science, and Technology at the Stanford Center for Legal Informatics, also known as Codex. Dr. Ma’s groundbreaking work in integrating generative AI into legal applications takes center stage as she shares her insights on translating legal knowledge into code and the implications of human-machine collaboration in the legal field.

“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/Agents/LLMs/and Related, 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

.

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

14+ resources regarding AI in our learning ecosystems

On 08/13/2024, in adjunct faculty, adult learning, Australia, CMS/LMS, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital learning, education technology, elearning, emerging technologies, experimentation, faculty, Google, heutagogy, higher education, human-computer interaction (HCI), ideas, instructional design, intelligent systems, IT in HE, K-12 related, law schools, leadership, learning, learning ecosystem, Learning Experience Design, learning theories, lifelong learning, Microsoft, multimedia, Open AI, platforms, policy, productivity / tips and tricks, religion, strategy, student-related, teachers, teaching & learning, tools, training / L&D, United States, universities, vendors, by Daniel Christian

What Students Want When It Comes To AI — from onedtech.philhillaa.com by Glenda Morgan
The Digital Education Council Global AI Student Survey 2024

The Digital Education Council (DEC) this week released the results of a global survey of student opinions on AI. It’s a large survey with nearly 4,000 respondents conducted across 16 countries, but more importantly, it asks some interesting questions. There are many surveys about AI out there right now, but this one stands out. I’m going to go into some depth here, as the entire survey report is worth reading.

.

AI is forcing a teaching and learning evolution — from eschoolnews.com by Laura Ascione
AI and technology tools are leading to innovative student learning–along with classroom, school, and district efficiency

Key findings from the 2024 K-12 Educator + AI Survey, which was conducted by Hanover Research, include:

Teachers are using AI to personalize and improve student learning, not just run classrooms more efficiently, but challenges remain
While post-pandemic challenges persist, the increased use of technology is viewed positively by most teachers and administrators
…and more

From DSC:
I wonder…how will the use of AI in education square with the issues of using smartphones/laptops within the classrooms? See:

Why Schools Are Racing to Ban Student Phones — from nytimes.com by Natasha Singer; via GSV
As the new school year starts, a wave of new laws that aim to curb distracted learning is taking effect in Indiana, Louisiana and other states.

A three-part series from Dr. Phillippa Hardman:

Part 1: Writing Learning Objectives
The Results Part 1: Writing Learning Objectives

In this week’s post I will dive into the results from task 1: writing learning objectives. Stay tuned over the next two weeks to see all of the the results.

Part 2: Selecting Instructional Strategies.
The Results Part 2: Selecting an Instructional Strategy

Welcome back to our three-part series exploring the impact of AI on instructional design.
…
This week, we’re tackling a second task and a crucial aspect of instructional design: selecting instructional strategies. The ability to select appropriate instructional strategies to achieve intended objectives is a mission-critical skill for any instructional designer. So, can AI help us do a good job of it? Let’s find out!

Part 3: How Close is AI to Replacing Instructional Designers?
The Results Part 3: Creating a Course Outline

Today, we’re diving into what many consider to be the role-defining task of the instructional designer: creating a course design outline.

ChatGPT Cheat Sheet for Instructional Designers! — from Alexandra Choy Youatt EdD

Instructional Designers!
Whether you’re new to the field or a seasoned expert, this comprehensive guide will help you leverage AI to create more engaging and effective learning experiences.

What’s Inside?
Roles and Tasks: Tailored prompts for various instructional design roles and tasks.
Formats: Different formats to present your work, from training plans to rubrics.
Learning Models: Guidance on using the ADDIE model and various pedagogical strategies.
Engagement Tips: Techniques for online engagement and collaboration.
Specific Tips: Industry certifications, work-based learning, safety protocols, and more.

Who Can Benefit?
Corporate Trainers
Curriculum Developers
E-Learning Specialists
Instructional Technologists
Learning Experience Designers
And many more!
…

ChatGPT Cheat Sheet | Instructional Designer

5 AI Tools I Use Every Day (as a Busy Student) — from theaigirl.substack.com by Diana Dovgopol
AI tools that I use every day to boost my productivity.
#1 Gamma
#2 Perplexity
#3 Cockatoo

I use this AI tool almost every day as well. Since I’m still a master’s student at university, I have to attend lectures and seminars, which are always in English or German, neither of which is my native language. With the help of Cockatoo, I create scripts of the lectures and/or translations into my language. This means I don’t have to take notes in class and then manually translate them afterward. All I need to do is record the lecture audio on any device or directly in Cockatoo, upload it, and then you’ll have the audio and text ready for you.

…and more

Students Worry Overemphasis on AI Could Devalue Education — from insidehighered.com by Juliette Rowsell
Report stresses that AI is “new standard” and universities need to better communicate policies to learners.

Rising use of AI in higher education could cause students to question the quality and value of education they receive, a report warns.

This year’s Digital Education Council Global AI Student Survey, of more than 3,800 students from 16 countries, found that more than half (55 percent) believed overuse of AI within teaching devalued education, and 52 percent said it negatively impacted their academic performance.

Despite this, significant numbers of students admitted to using such technology. Some 86 percent said they “regularly” used programs such as ChatGPT in their studies, 54 percent said they used it on a weekly basis, and 24 percent said they used it to write a first draft of a submission.

Higher Ed Leadership Is Excited About AI – But Investment Is Lacking — from forbes.com by Vinay Bhaskara

As corporate America races to integrate AI into its core operations, higher education finds itself in a precarious position. I conducted a survey of 63 university leaders revealing that while higher ed leaders recognize AI’s transformative potential, they’re struggling to turn that recognition into action.

This struggle is familiar for higher education — gifted with the mission of educating America’s youth but plagued with a myriad of operational and financial struggles, higher ed institutions often lag behind their corporate peers in technology adoption. In recent years, this gap has become threateningly large. In an era of declining enrollments and shifting demographics, closing this gap could be key to institutional survival and success.

The survey results paint a clear picture of inconsistency: 86% of higher ed leaders see AI as a “massive opportunity,” yet only 21% believe their institutions are prepared for it. This disconnect isn’t just a minor inconsistency – it’s a strategic vulnerability in an era of declining enrollments and shifting demographics.

(Generative) AI Isn’t Going Anywhere but Up — from stefanbauschard.substack.com by Stefan Bauschard
“Hype” claims are nonsense.

There has been a lot of talk recently about an “AI Bubble.” Supposedly, the industry, or at least the generative AI subset of it, will collapse. This is known as the “Generative AI Bubble.” A bubble — a broad one or a generative one — is nonsense. These are the reasons we will continue to see massive growth in AI.

AI Readiness: Prepare Your Workforce to Embrace the Future — from learningguild.com by Danielle Wallace

Artificial Intelligence (AI) is revolutionizing industries, enhancing efficiency, and unlocking new opportunities. To thrive in this landscape, organizations need to be ready to embrace AI not just technologically but also culturally.

Learning leaders play a crucial role in preparing employees to adapt and excel in an AI-driven workplace. Transforming into an AI-empowered organization requires more than just technological adoption; it demands a shift in organizational mindset. This guide delves into how learning leaders can support this transition by fostering the right mindset attributes in employees.

Claude AI for eLearning Developers — from learningguild.com by Bill Brandon

Claude is fast, produces grammatically correct text, and outputs easy-to-read articles, emails, blog posts, summaries, and analyses. Take some time to try it out. If you worry about plagiarism and text scraping, put the results through Grammarly’s plagiarism checker (I did not use Claude for this article, but I did send the text through Grammarly).

Survey: Top Teacher Uses of AI in the Classroom — from thejournal.com by Rhea Kelly

A new report from Cambium Learning Group outlines the top ways educators are using artificial intelligence to manage their classrooms and support student learning. Conducted by Hanover Research, the 2024 K-12 Educator + AI Survey polled 482 teachers and administrators at schools and districts that are actively using AI in the classroom.

More than half of survey respondents (56%) reported that they are leveraging AI to create personalized learning experiences for students. Other uses included providing real-time performance tracking and feedback (cited by 52% of respondents), helping students with critical thinking skills (50%), proofreading writing (47%), and lesson planning (44%).

On the administrator side, top uses of AI included interpreting/analyzing student data (61%), managing student records (56%), and managing professional development (56%).

Addendum on 8/14/24:

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/Agents/LLMs/and Related, 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 Role of the Law Library in Serving Incarcerated Individuals [Ortiz & Pokornowski]

On 08/03/2024, in law schools, legislatures / government / legal, library / librarians, society, sociology, by Daniel Christian

The Role of the Law Library in Serving Incarcerated Individuals — from sr.ithaka.org by Tammy Ortiz & Ess Pokornowski
Announcing a New IMLS-Funded Project

In a new project funded by the Institute of Museum and Library Services (IMLS), we will examine the national landscape of access to legal information for people who are incarcerated and the current state of the field of law librarianship in facilitating access to the law for the justice-impacted population. This project will build on exploratory research to document the different types of libraries involved in providing services to incarcerated patrons and the challenges and opportunities they face.

We will explore the following research questions:

What legal services and information can individuals who are incarcerated currently access?
What are the benefits and costs of increasing access to the law for persons who are incarcerated and their communities?
What role do institutions play when providing or allowing access to the law for individuals who are incarcerated?
How do policies and practices in place disrupt or promote access?
How can we design services and model solutions that incorporate best practices and overcome barriers that limit access to and use of legal resources and information?

Learning Ecosystems

“Best Legal Tech 2024” [Theorem] + “Essential Types of Legal Cases Every Business Owner Should Know” [lawfuel.com]

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

The Role of the Law Library in Serving Incarcerated Individuals [Ortiz & Pokornowski]

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