The Most Innovative Law Schools (2025) — from abovethelaw.com by Staci Zaretsky
Forget dusty casebooks — today’s leaders in legal education are using AI, design thinking, and real-world labs to reinvent how law is taught.

“[F]rom AI labs and interdisciplinary centers to data-driven reform and bold new approaches to design and client service,” according to National Jurist’s preLaw Magazine, these are the law schools that “exemplify innovation in action.”

  1. North Carolina Central University School of Law
  2. Suffolk University Law School
  3. UC Berkeley School of Law
  4. Nova Southeastern University Shepard Broad College of Law
  5. Northeastern University School of Law
  6. Maurice A. Deane School of Law at Hofstra University
  7. Seattle University School of Law
  8. Case Western Reserve University School of Law
  9. University of Miami School of Law
  10. Benjamin N. Cardozo School of Law at Yeshiva University
  11. Vanderbilt University Law School
  12. Southwestern Law School

Click here to read short summaries of why each school made this year’s list of top innovators.


Clio’s Metamorphosis: From Practice Management To A Comprehensive AI And Law Practice Provider — from abovethelaw.com by Stephen Embry
Clio is no longer a practice management company. It’s much more of a comprehensive provider of all needs of its customers big and small.

Newton delivered what may have been the most consequential keynote in the company’s history and one that signals a shift by Clio from a traditional practice management provider to a comprehensive platform that essentially does everything for the business and practice of law.

Clio also earlier this year acquired vLex, the heavy-duty AI legal research player. The acquisition is pending regulatory approval. It is the vLex acquisition that is powering the Clio transformation that Newton described in his keynote.

vLex has a huge amount of legal data in its wheelhouse to power sophisticated legal AI research. On top of this data, vLex developed Vincent, a powerful AI tool to work with this data and enable all sorts of actions and work.

This means a couple of things. First, by acquiring vLex, Clio can now offer its customers AI legal research tools. Clio customers will no longer have to go one place for its practice management needs and a second place for its substantive legal work, like research. It makes what Clio can provide much more comprehensive and all inclusive.


‘Adventures In Legal Tech’: How AI Is Changing Law Firms — from abovethelaw.com
Ernie the Attorney shares his legal tech takes.

Artificial intelligence will give solos and small firms “a huge advantage,” according to one legal tech consultant.

In this episode of “Adventures in Legal Tech,” host Jared Correia speaks with Ernie Svenson — aka “Ernie the Attorney” — about the psychology behind resistance to change, how law firms are positioning their AI use, the power of technology for business development, and more.


Legal software: how to look for and compare AI in legal technology — from legal.thomsonreuters.com by Chris O’Leary

Highlights

  • Legal ops experts can categorize legal AI platforms and software by the ability to streamline key tasks such as legal research, document processing or analysis, and drafting.
  • The trustworthiness and accuracy of AI hinge on the quality of its underlying data; solutions like CoCounsel Legal are grounded in authoritative, expert-verified content from Westlaw and Practical Law, unlike providers that may rely on siloed or less reliable databases.
  • When evaluating legal software, firms should use a framework that assesses critical factors such as integration with existing tech stacks, security, scalability, user adoption, and vendor reputation.

ASU Law appoints a director of AI and Legal Tech Studio, advancing its initiative to reimagine legal education — from law.asu.edu

The Sandra Day O’Connor College of Law at Arizona State University appointed Sean Harrington as director of the newly established AI and Legal Tech Studio, a key milestone in ASU Law’s bold initiative to reimagine legal education for the artificial intelligence era. ASU, ranked No. 1 in innovation for the 11th consecutive year, drives AI solutions that enhance teaching, enrich student training and facilitate digital transformation.


The American Legal Technology Awards Name 2025 Winners — from natlawreview.com by Tom Martin

The sixth annual American Legal Technology Awards were presented on Wednesday, October 15th, at Suffolk University Law School (Boston), recognizing winners across ten categories. There were 211 nominees who were evaluated by 27 judges.

The honorees on the night included:

 

“Future of Professionals Report” analysis: Why AI will flip law firm economics — from thomsonreuters.com by Ragunath Ramanathan
AI forces a reinvention of law firm billing models, the market will reward those firms that price by outcome, guarantee efficiency, and are transparent. The question then isn’t whether to change — it’s whether firms will stand on the sidelines or lead

Key insights:

  • Efficiency and cost savings are expected  AI is significantly increasing efficiency and reducing costs in the legal industry, with each lawyer expecting to save 190 work-hours per year by leveraging AI, resulting in approximately $20 billion worth of work-savings in the US alone.
  • Challenges to the billable hour model — The traditional billable hour model is being challenged by AI advancements, as lawyers are now able to complete tasks more efficiently and quickly, leading some law firms to explore alternative pricing models that reflect the value delivered rather than the time spent.
  • Opportunities for smaller law firms — AI presents unique opportunities for smaller law firms to differentiate themselves and compete with larger firms, as AI solutions allow smaller firms to access advanced technology without significant investment and deliver innovative pricing models.

The legal industry is undergoing a significant transformation that’s being driven by the rapid adoption of AI — a shift that is poised to redefine traditional practices, particularly the billable hour model, a cornerstone of law firm operations.

Not surprisingly, AI is anticipated to have the biggest impact on the legal industry over the next five years, with 80% of law firm survey respondents to Thomson Reuters recently published 2025 Future of Professionals report saying that they expect AI to fundamentally alter how they conduct business, especially around how law firms price, staff, and deliver legal work to their clients.


 

Hidden text can undermine your AI [Brainyacts #268] — from thebrainyacts.beehiiv.com by Josh Kubicki

What if one line of invisible text could change how your AI interprets an entire case file?

This isn’t hypothetical. It’s called prompt injection, and as more legal teams connect LLMs to client files, discovery docs, and contract repositories, the risk is growing, fast.

The AI, following instructions like a good little pattern matcher, now refers to the entire thing using the wrong legal frame.

You never saw the white text.

Your associate didn’t catch it.

The system happily processes it as truth.

And now you have slop in the system. Not because the AI hallucinated but because it was tricked.

 

The above posting on LinkedIn then links to this document


Designing Microsoft 365 Copilot to empower educators, students, and staff — from microsoft.com by Deirdre Quarnstrom

While over 80% of respondents in the 2025 AI in Education Report have already used AI for school, we believe there are significant opportunities to design AI that can better serve each of their needs and broaden access to the latest innovation.1

That’s why today [10/15/25], we’re announcing AI-powered experiences built for teaching and learning at no additional cost, new integrations in Microsoft 365 apps and Learning Management Systems, and an academic offering for Microsoft 365 Copilot.

Introducing AI-powered teaching and learning
Empowering educators with Teach

We’re introducing Teach to help streamline class prep and adapt AI to support educators’ teaching expertise with intuitive and customizable features. In one place, educators can easily access AI-powered teaching tools to create lesson plans, draft materials like quizzes and rubrics, and quickly make modifications to language, reading level, length, difficulty, alignment to relevant standards, and more.

 

 

10 Tips from Smart Teaching Stronger Learning — from Pooja K. Agarwal, Ph.D.

Per Dr. Pooja Agarwal:

Combining two strategies—spacing and retrieval practice—is key to success in learning, says Shana Carpenter.


On a somewhat related note (i.e., for Instructional Designers, teachers, faculty members, T&L staff members), also see:

 

Law Punx: The Future of the Legal Profession, With Electra Japonas — from artificiallawyer.com by Richard Tromans aand Electra Japonas

Takeaways:

  • The legal profession is undergoing significant changes due to AI.
  • Lawyers must adapt their skill sets to thrive in the future.
  • Drafting will become less important as AI takes over.
  • Understanding the ‘why’ behind legal work is crucial.
  • Lawyers will need to design systems and guardrails for AI.
  • The role of lawyers is shifting from executors to architects.
  • Law schools need to teach legal technology and systems design.
  • Client demands are changing the way law firms operate.
  • Law firms must adapt to new client expectations for efficiency.
  • The future of law will require a blend of legal knowledge and tech skills.

“We don’t want an opinion from you. We want a prompt from you.”


Legal Education Must Change Because of AI – Survey — from artificiallawyer.com
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Guest Column: As AI Helps Close the Justice Gap, Will It Save the Legal Profession or Replace It? — from lawnexts.com by Bob Ambrogi

The numbers are stark: 92% of low-income Americans receive no help with substantial civil legal problems, while small claims filings have plummeted 32% in just four years. But AI is changing the game. By making legal procedures accessible to pro se litigants and supercharging legal aid organizations, these tools are reviving dormant disputes and opening courthouse doors that have been effectively closed to millions.

 

U.S. Law Schools Make AI Training Mandatory as Technology Becomes Core Legal Skill — from jdjournal.com by Fatima E

A growing number of U.S. law schools are now requiring students to train in artificial intelligence, marking a shift from optional electives to essential curriculum components. What was once treated as a “nice-to-have” skill is fast becoming integral as the legal profession adapts to the realities of AI tools.

From Experimentation to Obligation
Until recently, most law schools relegated AI instruction to upper-level electives or let individual professors decide whether to incorporate generative AI into their teaching. Now, however, at least eight law schools require incoming students—especially in their first year—to undergo training in AI, either during orientation, in legal research and writing classes, or via mandatory standalone courses.

Some of the institutions pioneering the shift include Fordham University, Arizona State University, Stetson University, Suffolk University, Washington University in St. Louis, Case Western, and the University of San Francisco.


Beyond the Classroom & LMS: How AI Coaching is Transforming Corporate Learning — from by Dr Philippa Hardman
What a new HBR study tells about the changing nature of workplace L&D

There’s a vision that’s been teased Learning & Development for decades: a vision of closing the gap between learning and doing—of moving beyond stopping work to take a course, and instead bringing support directly into the workflow. This concept of “learning in the flow of work” has been imagined, explored, discussed for decades —but never realised. Until now…?

This week, an article published Harvard Business Review provided some some compelling evidence that a long-awaited shift from “courses to coaches” might not just be possible, but also powerful.

The two settings were a) traditional in-classroom workshops, led by an expert facilitator and b) AI-coaching, delivered in the flow of work. The results were compelling….

TLDR: The evidence suggests that “learning in the flow of work” is not only feasible as a result of gen AI—it also show potential to be more scalable, more equitable and more efficient than traditional classroom/LMS-centred models.


The 10 Most Popular AI Chatbots For Educators — from techlearning.com by Erik Ofgang
Educators don’t need to use each of these chatbots, but it pays to be generally aware of the most popular AI tools

I’ve spent time testing many of these AI chatbots for potential uses and abuses in my own classes, so here’s a quick look at each of the top 10 most popular AI chatbots, and what educators should know about each. If you’re looking for more detail on a specific chatbot, click the link, as either I or other Tech & Learning writers have done deeper dives on all these tools.


…which links to:

Beyond Tool or Threat: GenAI and the Challenge It Poses to Higher Education — from er.educause.edu by Adam Maksl, Anne Leftwich, Justin Hodgson and Kevin Jones

Generative artificial intelligence isn’t just a new tool—it’s a catalyst forcing the higher education profession to reimagine its purpose, values, and future.

As experts in educational technology, digital literacy, and organizational change, we argue that higher education must seize this moment to rethink not just how we use AI, but how we structure and deliver learning altogether.


At This Rural Microschool, Students Will Study With AI and Run an Airbnb — from edsurge.com by Daniel Mollenkamp

Over the past decade, microschools — experimental small schools that often have mixed-age classrooms — have expanded.

Some superintendents have touted the promise of microschools as a means for public schools to better serve their communities’ needs while still keeping children enrolled in the district. But under a federal administration that’s trying to dismantle public education and boost homeschool options, others have critiqued poor oversight and a lack of information for assessing these models.

Microschools offer a potential avenue to bring innovative, modern experiences to rural areas, argues Keith Parker, superintendent of Elizabeth City-Pasquotank Public Schools.



Are We Ready for the AI University? An AI in Higher Education Webinar with Dr. Scott Latham


Imagining Teaching with AI Agents… — from michellekassorla.substack.com by Michelle Kassorla
Teaching with AI is only one step toward educational change, what’s next?

More than two years ago I started teaching with AI in my classes. At first I taught against AI, then I taught with AI, and now I am moving into unknown territory: agents. I played with Manus and n8n and some other agents, but I really never got excited about them. They seemed more trouble than they were worth. It seemed they were no more than an AI taskbot overseeing some other AI bots, and that they weren’t truly collaborating. Now, I’m looking at Perplexity’s Comet browser and their AI agent and I’m starting to get ideas for what the future of education might hold.

I have written several times about the dangers of AI agents and how they fundamentally challenge our systems, especially online education. I know there is no way that we can effectively stop them–maybe slow them a little, but definitely not stop them. I am already seeing calls to block and ban agents–just like I saw (and still see) calls to block and ban AI–but the truth is they are the future of work and, therefore, the future of education.

So, yes! This is my next challenge: teaching with AI agents. I want to explore this idea, and as I started thinking about it, I got more and more excited. But let me back up a bit. What is an agent and how is it different than Generative AI or a bot?

 

Top 50 Legal Employers Hiring Now: Where the Opportunities Are in 2025 — from jdjournal.com by Fatima E

For lawyers, paralegals, compliance professionals, and legal tech specialists, 2025 is shaping up to be a strong hiring year. According to a new LawCrossing report, the Top 50 Legal Employers Hiring Now highlights a wave of open positions across law firms, corporations, government agencies, and universities — a snapshot of where demand is highest and where job-seekers should be focusing their efforts.

The Types of Employers on the List
The Top 50 Legal Employers Hiring Now spans a diverse set of organizations:

  • Corporate Legal Departments: …
  • Law Firms: …
  • Government Agencies: …
  • Universities and Nonprofits: …

This diversity means opportunities exist for professionals at many career stages, whether you are a new graduate seeking entry-level work, a mid-career attorney looking for stability, or a seasoned litigator hoping to move in-house.


Also see:

Law StudentsRecord-Breaking Law School Enrollment as Applicant Boom Reshapes Legal Education — from jdjournal.com by Fatima E
.

Record-Breaking Law School Enrollment as Applicant Boom Reshapes Legal Education

.
U.S. law schools are experiencing a surge unlike anything seen in over a decade, with first-year J.D. classes hitting record sizes this fall. The unprecedented boom follows an 18 % year-over-year jump in applications, fueled by a mix of economic uncertainty, political engagement, and strong job prospects for recent graduates.


Also see:

Lawyers Council Explores Legal Innovation with Arizona Chief Justice Timmer — from iaals.du.edu

On September 16, members of the IAALS Lawyers Council gathered in downtown Denver to discuss the growing momentum of alternative business structures with Arizona Chief Justice Ann A. Scott Timmer and Jess Bednarz, IAALS’ Director of Legal Services and the Profession.

Arizona is on the frontlines of this movement, and Chief Justice Timmer talked about how alternative business structures have led to meaningful innovations in how lawyers in Arizona provide legal services.

Chief Justice Timmer credits a culture of innovation in Arizona for providing the ability for lawyers and businesses to try new ways of delivering legal services. She emphasized that lawyers are still at the heart of the practice of law in these alternative business structures, and that the structures allow lawyers to have added resources to innovate and reach more clients. This creativity has led to businesses and innovations that make the legal system easier to access, like financial planners and lawyers combining businesses or an app that helps people start the process of expunging criminal records.

 

On LawNext: Justice Workers — Reimagining Access to Justice as Democracy Work, with Rebecca Sandefur and Matthew Burnett — from lawnext.com by Bob Ambrogi

With as many as 120 million legal problems going unresolved in America each year, traditional lawyer-centered approaches to access to justice have consistently failed to meet the scale of need. But what if the solution is not just about providing more legal services — what if it lies in fundamentally rethinking who can provide legal help?

In today’s episode, host Bob Ambrogi is joined by two of the nation’s leading researchers on access to justice: Rebecca Sandefur, professor and director of the Sanford School of Social and Family Dynamics at Arizona State University and a faculty fellow at the American Bar Foundation, and Matthew Burnett, director of research and programs for the Access to Justice Research Initiative at the American Bar Foundation and an adjunct professor of law at Georgetown University Law Center.

 

Guest post: IP professionals are enthusiastic about AI but should adopt with caution, report says — from legaltechnology.com by Benoit Chevalier

Aiming to discover more about AI’s impact on the intellectual property (IP) field, Questel recently released the findings of its 2025 IP Outlook Research Report entitled “Pathways to Productivity: AI in IP”, the much-awaited follow-up to its inaugural 2024 study “Beyond the Hype: How Technology is Transforming IP.” The 2025 Report (“the Report”) polled over 500 patent and trademark professionals from various continents and countries across the globe.


With AI, Junior Lawyers Will Excavate Insights, Not Review Docs — from news.bloomberglaw.com by Eric Dodson Greenberg; some of this article is behind a paywall

As artificial intelligence reshapes the legal profession, both in-house and outside counsel face two major—but not unprecedented—challenges.

The first is how to harness transformative technology while maintaining the rigorous standards that define effective legal practice.

The second is how to ensure that new technology doesn’t impair the training and development of new lawyers.

Rigorous standards and apprenticeship are foundational aspects of lawyering. Preserving and integrating both into our use of AI will be essential to creating a stable and effective AI-enabled legal practice.


The AI Lie That Legal Tech Companies Are Selling…. — from jdsupra.com

Every technology vendor pitching to law firms leads with the same promise: our solution will save you time. They’re lying, and they know it. The truth about AI in legal practice isn’t that it will reduce work. It’s that it will explode the volume of work while fundamentally changing what that work looks like.

New practice areas will emerge overnight. AI compliance law is already booming. Algorithmic discrimination cases are multiplying. Smart contract disputes need lawyers who understand both code and law. The metaverse needs property rights. Cryptocurrency needs regulation. Every technological advance creates legal questions that didn’t exist yesterday.

The skill shift will be brutal for lawyers who resist. 


Finalists Named for 2025 American Legal Technology Awards — from lawnext.com by Bob Ambrogi

Finalists have been named for the 2025 American Legal Technology Awards, which honor exceptional achievement in various aspects of legal technology.

The awards recognize achievement in various categories related to legal technology, such as by a law firm, an individual, or an enterprise.

The awards will be presented on Oct. 15 at a gala dinner on the eve of the Clio Cloud Conference in Boston, Mass. The dinner will be held at Suffolk Law School.

Here are this year’s finalists:

 

ChatGPT: the world’s most influential teacher — from drphilippahardman.substack.com by Dr. Philippa Hardman; emphasis DSC
New research shows that millions of us are “learning with AI” every week: what does this mean for how (and how well) humans learn?

This week, an important piece of research landed that confirms the gravity of AI’s role in the learning process. The TLDR is that learning is now a mainstream use case for ChatGPT; around 10.2% of all ChatGPT messages (that’s ~2BN messages sent by over 7 million users per week) are requests for help with learning.

The research shows that about 10.2% of all messages are tutoring/teaching, and within the “Practical Guidance” category, tutoring is 36%. “Asking” interactions are growing faster than “Doing” and are rated higher quality by users. Younger people contribute a huge share of messages, and growth is fastest in low- and middle-income countries (How People Use ChatGPT, 2025).

If AI is already acting as a global tutor, the question isn’t “will people learn with AI?”—they already are. The real question we need to ask is: what does great learning actually look like, and how should AI evolve to support it? That’s where decades of learning science help us separate “feels like learning” from “actually gaining new knowledge and skills”.

Let’s dive in.

 

Stanford Law Unveils liftlab, a Groundbreaking AI Initiative Focused on the Legal Profession’s Future — from law.stanford.edu

September 15, 2025 — Stanford, CA — Stanford Law School today announced the launch of the Legal Innovation through Frontier Technology Lab, or liftlab, to explore how artificial intelligence can reshape legal services—not just to make them faster and cheaper, but better and more widely accessible.

Led by Professor Julian Nyarko and Executive Director Megan Ma, liftlab is among the first academic efforts in legal AI to unite research, prototyping, and real-time collaboration with industry. While much of AI innovation in law has so far focused on streamlining routine tasks, liftlab is taking a broader and more ambitious approach. The goal is to tap AI’s potential to fundamentally change the way legal work serves society.


The divergence of law firms from lawyers — from jordanfurlong.substack.com by Jordan Furlong
LLMs’ absorption of legal task performance will drive law firms towards commoditized service hubs while raising lawyers to unique callings as trustworthy legal guides — so long as we do this right.

Generative AI is going to weaken and potentially dissolve that relationship. Law firms will become capable of generating output that can be sold to clients with no lawyer involvement at all.

Right now, it’s possible for an ordinary person to obtain from an LLM like ChatGPT-5 the performance of a legal task — the provision of legal analysis, the production of a legal instrument, the delivery of legal advice — that previously could only be acquired from a human lawyer.

I’m not saying a person should do that. The LLM’s output might be effective and reliable, or it might prove disastrously off-base. But many people are already using LLMs in this way, and in the absence of other accessible options for legal assistance, they will continue to do so.


Why legal professionals need purpose-built agentic AI — from legal.thomsonreuters.com by Frank Schilder with Thomson Reuters Labs

Highlights

  • Professional-grade agentic AI systems are architecturally distinct from consumer chatbots, utilizing domain-specific data and robust verification mechanisms to deliver the high accuracy and reliability essential for legal work, whereas consumer tools prioritize conversational flow using unvetted web data.
  • True agentic AI for legal professionals offers transparent, multi-agent workflows, integrates with authoritative legal databases for verification, and applies domain-specific reasoning to understand legal nuances, unlike traditional chatbots that lack this complexity and autonomy.
  • When evaluating legal AI, professionals should avoid solutions that lack workflow transparency, offer no human checkpoints for oversight, and cannot integrate with professional databases, ensuring the chosen tool enhances, rather than replaces, expert judgment.

How I Left Corporate Law to Become a Legal Tech Entrepreneur — from news.bloomberglaw.com by Adam Nguyen; behind a paywall

If you’re a lawyer wondering whether to take the leap into entrepreneurship, I understand the apprehension that comes with leaving a predictable path. Embracing the fear, uncertainty, challenges, and constant evolution integral to an entrepreneur’s journey has been worth it for me.


Lawyering In The Age Of AI: Why Artificial Intelligence Might Make Lawyers More Human — from abovethelaw.com by Lisa Lang and Joshua Horenstein
AI could rehumanize the legal profession.

AI is already adept at doing what law school trained us to do — identifying risks, spotting issues, and referencing precedent. What it’s not good at is nuance, trust, or judgment — skills that define great lawyering.

When AI handles some of the drudgery — like contract clause spotting and formatting — it gives us something precious back: time. That time forces lawyers to stop hiding behind legalese and impractical analysis. It allows — and even demands — that we communicate like leaders.

Imagine walking into a business meeting and, instead of delivering a 20-page memo, offering a single slide with a recommendation tied directly to company goals. That’s not just good lawyering; that’s leadership. And AI may be the catalyst that gets us there.

AI changes the game. When generative tools can translate clauses into plain English, the old value proposition of complexity begins to crumble. The playing field shifts — from who can analyze the most thoroughly to who can communicate the most clearly.

That’s not a threat. It’s an opportunity — one for lawyers to become better partners to the business by focusing on what matters most: sound judgment delivered in plain language.


 

From EdTech to TechEd: The next chapter in learning’s evolution — from linkedin.com by Lev Gonick

A day in the life: The next 25 years
A learner wakes up. Their AI-powered learning coach welcomes them, drawing their attention to their progress and helping them structure their approach to the day.  A notification reminds them of an upcoming interview and suggests reflections to add to their learning portfolio.

Rather than a static gradebook, their portfolio is a dynamic, living record, curated by the student, validated by mentors in both industry and education, and enriched through co-creation with maturing modes of AI. It tells a story through essays, code, music, prototypes, journal reflections, and team collaborations. These artifacts are not “submitted”, they are published, shared, and linked to verifiable learning outcomes.

And when it’s time to move, to a new institution, a new job, or a new goal, their data goes with them, immutable, portable, verifiable, and meaningful.

From DSC:
And I would add to that last solid sentence that the learner/student/employee will be able to control who can access this information. Anyway, some solid reflections here from Lev.


AI Could Surpass Schools for Academic Learning in 5-10 Years — from downes.ca with commentary from Stephen Downes

I know a lot of readers will disagree with this, and the timeline feels aggressive (the future always arrives more slowly than pundits expect) but I think the overall premise is sound: “The concept of a tipping point in education – where AI surpasses traditional schools as the dominant learning medium – is increasingly plausible based on current trends, technological advancements, and expert analyses.”


The world’s first AI cabinet member — from therundown.ai by Zach Mink, Rowan Cheung, Shubham Sharma, Joey Liu & Jennifer Mossalgue

The Rundown: In this tutorial, you will learn how to combine NotebookLM with ChatGPT to master any subject faster, turning dense PDFs into interactive study materials with summaries, quizzes, and video explanations.

Step-by-step:

  1. Go to notebooklm.google.com, click the “+” button, and upload your PDF study material (works best with textbooks or technical documents)
  2. Choose your output mode: Summary for a quick overview, Mind Map for visual connections, or Video Overview for a podcast-style explainer with visuals
  3. Generate a Study Guide under Reports — get Q&A sets, short-answer questions, essay prompts, and glossaries of key terms automatically
  4. Take your PDF to ChatGPT and prompt: “Read this chapter by chapter and highlight confusing parts” or “Quiz me on the most important concepts”
  5. Combine both tools: Use NotebookLM for quick context and interactive guides, then ChatGPT to clarify tricky parts and go deeperPro Tip: If your source is in EPUB or audiobook, convert it to PDF before uploading. Both NotebookLM and ChatGPT handle PDFs best.

Claude can now create and edit files — from anthropic.com

Claude can now create and edit Excel spreadsheets, documents, PowerPoint slide decks, and PDFs directly in Claude.ai and the desktop app. This transforms how you work with Claude—instead of only receiving text responses or in-app artifacts, you can describe what you need, upload relevant data, and get ready-to-use files in return.

Also see:

  • Microsoft to lessen reliance on OpenAI by buying AI from rival Anthropic — from techcrunch.com byRebecca Bellan
    Microsoft will pay to use Anthropic’s AI in Office 365 apps, The Information reports, citing two sources. The move means that Anthropic’s tech will help power new features in Word, Excel, Outlook, and PowerPoint alongside OpenAI’s, marking the end of Microsoft’s previous reliance solely on the ChatGPT maker for its productivity suite. Microsoft’s move to diversify its AI partnerships comes amid a growing rift with OpenAI, which has pursued its own infrastructure projects as well as a potential LinkedIn competitor.

Ep. 11 AGI and the Future of Higher Ed: Talking with Ray Schroeder

In this episode of Unfixed, we talk with Ray Schroeder—Senior Fellow at UPCEA and Professor Emeritus at the University of Illinois Springfield—about Artificial General Intelligence (AGI) and what it means for the future of higher education. While most of academia is still grappling with ChatGPT and basic AI tools, Schroeder is thinking ahead to AI agents, human displacement, and AGI’s existential implications for teaching, learning, and the university itself. We explore why AGI is so controversial, what institutions should be doing now to prepare, and how we can respond responsibly—even while we’re already overwhelmed.


Best AI Tools for Instructional Designers — from blog.cathy-moore.com by Cathy Moore

Data from the State of AI and Instructional Design Report revealed that 95.3% of the instructional designers interviewed use AI in their daily work [1]. And over 85% of this AI use occurs during the design and development process.

These figures showcase the immense impact AI is already having on the instructional design world.

If you’re an L&D professional still on the fence about adding AI to your workflow or an AI convert looking for the next best tools, keep reading.

This guide breaks down 5 of the top AI tools for instructional designers in 2025, so you can streamline your development processes and build better training faster.

But before we dive into the tools of the trade, let’s address the elephant in the room:




3 Human Skills That Make You Irreplaceable in an AI World — from gettingsmart.com/ by Tom Vander Ark and Mason Pashia

Key Points

  • Update learner profiles to emphasize curiosity, curation, and connectivity, ensuring students develop irreplaceable human skills.
  • Integrate real-world learning experiences and mastery-based assessments to foster agency, purpose, and motivation in students.
 

Miro and GenAI as drivers of online student engagement — from timeshighereducation.com by Jaime Eduardo Moncada Garibay
A set of practical strategies for transforming passive online student participation into visible, measurable and purposeful engagement through the use of Miro, enhanced by GenAI

To address this challenge, I shifted my focus from requesting participation to designing it. This strategic change led me to integrate Miro, a visual digital workspace, into my classes. Miro enables real-time visualisation and co-creation of ideas, whether individually or in teams.

The transition from passive attendance to active engagement in online classes requires deliberate instructional design. Tools such as Miro, enhanced by GenAI, enable educators to create structured, visually rich learning environments in which participation is both expected and documented.

While technology provides templates, frames, timers and voting features, its real pedagogical value emerges through intentional facilitation, where the educator’s role shifts from delivering content to orchestrating collaborative, purposeful learning experiences.


Benchmarking Online Education with Bruce Etter and Julie Uranis — from buzzsprout.com by Derek Bruff

Here are some that stood out to me:

  • In the past, it was typical for faculty to teach online courses as an “overload” of some kind, but BOnES data show that 92% of online programs feature courses taught as part of faculty member’s standard teaching responsibilities. Online teaching has become one of multiple modalities in which faculty teach regularly.
  • Three-quarters of chief online officers surveyed said they plan to have a great market share of online enrollments in the future, but only 23% said their current marketing is better than their competitors. The rising tide of online enrollments won’t lift all boats–some institutions will fare better than others.
  • Staffing at online education units is growing, with the median staff size increasing from 15 last year to 20 this year. Julie pointed out that successful online education requires investment of resources. You might need as many buildings as onsite education does, but you need people and you need technology.


 

PODCAST: The AI that’s making lawyers 100x better (and it’s not ChatGPT) — from theneurondaily.com by Matthew Robinson
How Thomson Reuters solved AI hallucinations in legal work

Bottom line: The best engineers became 100x better with AI coding tools. Now the same transformation is hitting law. Joel [the CTO at Thomson Reuters] predicts the best attorneys who master these tools will become 100x more powerful than before.


Legal Tech at a Turning Point: What 2025 Has Shown Us So Far — from community.nasscom.in by Elint AI

4. Legal Startups Reshape the Market for Judges and Practitioners
Legal services are no longer dominated by traditional providers. Business Insider reports on a new wave of nimble “Law Firm 2.0” entities—AI-enabled startups offering fixed cost services for specific tasks such as contract reviews or drafting. The LegalTech Lab is helping launch such disruptors with funding and guidance.

At the same time, alternative legal service providers or ALSPs are integrating generative AI, moving beyond cost-efficient support to providing legal advice and enhanced services—often on subscription models.

In 2025 so far, legal technology has moved from incremental adoption to integral transformation. Generative AI, investments, startups, and regulatory readiness are reshaping the practice of law—for lawyers, judges, and the rule of law.


Insights On AI And Its Impact On Legal, Part One — from abovethelaw.com by Stephen Embry
AI will have lasting impact on the legal profession.

I recently finished reading Ethan Mollick‘s excellent book on artificial intelligence, entitled Co-Intelligence: Living and Working with AI. He does a great job of explaining what it is, how it works, how it best can be used, and where it may be headed.

The first point that resonated with me is that artificial intelligence tools can take those with poor skills in certain areas and significantly elevate their output. For example, Mollick cited a study that demonstrated that the performance of law students at the bottom of their class got closer to that of the top students with the use of AI.

Lawyers and law firms need to begin thinking and planning for how the coming skill equalization will impact competition and potentially profitability. They need to consider how the value of what they provide to their clients will be greater than their competition. They need to start thinking about what skill will set them apart in the new AI driven world. 


267 | AI First Drafts: What Your Clients Aren’t Telling You (and Why It Matters) — from thebrainyacts.beehiiv.com by Brainyacts

Welcome to the new normal: the AI First Draft.
Clients—from everyday citizens to solo entrepreneurs to sophisticated in-house counsel—are increasingly using AI to create the first draft of legal documents before outside counsel even enters the conversation. Contracts, memos, emails, issue spotters, litigation narratives: AI can now do it all.

This means outside counsel is now navigating a very different kind of document review and client relationship. One that comes with hidden risks, awkward conversations, and new economic pressures.

Here are the three things every lawyer needs to start thinking about when reviewing client-generated work product.

1. The Prompt Problem: What Was Shared, and With Whom?…
2. The Confidence Barrier: When AI Sounds Right, But Isn’t…
3. The Economic Shift: Why AI Work Can Cost More, Not Less…


 

 
© 2025 | Daniel Christian