7 ways to use ChatGPT’s new image AI — from wondertools.substack.com by Jeremy Caplan
Transform your ideas into strong visuals
7 ways to use ChatGPT’s new image AI
- Cartoons
- Infographics
- Posters
- …plus several more
7 ways to use ChatGPT’s new image AI — from wondertools.substack.com by Jeremy Caplan
Transform your ideas into strong visuals
7 ways to use ChatGPT’s new image AI
MIT Reveals 2025 Breakthrough Tech At SXSW: What It Means For Legal — from abovethelaw.com by Stephen Embry
The future isn’t just about adopting new technology — it’s about strategically applying it to solve the right problems.
Why This Matters for Law and Legal Tech
Firth emphasized that one of the key criteria for selecting technologies is their broader relevance — what problem do they solve? Here’s how some of these breakthroughs could impact the legal industry:
Small Language Models and Legal AI – Unlike large AI models trained on vast public datasets, small language models can be built on private, secure datasets, making them ideal for legal applications. Law firms and in-house legal teams could develop AI tools trained on their own cases and internal documents, improving efficiency while maintaining confidentiality. These models also require far less computational power, making them more practical and cost-effective.
Use of these models have lots of applications for law. They could be used on large e-discovery data sets. They could be used to access a law firm’s past efforts. They could mine clients data to provide answers to legal questions efficiently. For that matter, they could allow in house legal to answer questions from company data without engaging outside counsel on certain issues.
AI in Education Survey: What UK and US Educators Think in 2025 — from twinkl.com
As artificial intelligence (AI) continues to shape the world around us, Twinkl conducted a large-scale survey between January 15th and January 22nd to explore its impact on the education sector, as well as the work lives of teachers across the UK and the USA.
Teachers’ use of AI for work continues to rise
Twinkl’s survey asked teachers whether they were currently using AI for work purposes. Comparing these findings to similar surveys over recent years shows the use of AI tools by teachers has seen a significant increase across both the UK and USA.
60% of UK teachers and 62% of US teachers use AI in their work life in 2025.
Stat(s) Of The Week: A Big Gap In Legal Tech Satisfaction — from abovethelaw.com by Jeremy Barke
Comparing sentiment across the pond.
Legal tech users in the U.S. and the U.K. report widely different levels of satisfaction with their systems, according to a new survey, raising questions about how companies are meeting lawyers’ needs.
According to “The State of Legal Tech Adoption” report by London-based Definely, 51% of U.S. respondents say they’re satisfied with the ROI of their legal technology, while only 22% of U.K. respondents say the same.
Legal tech company Clio acquires AI-focused platform specializing in large firms — from abajournal.com by Danielle Braff
Legal technology company Clio announced [on 3/13/25] that it acquired ShareDo, an artificial intelligence-focused platform specializing in large law firms.
The move represents a major departure for Clio, which was founded in 2008 and is based in Vancouver, British Columbia. The practice management software platform originally focused on solo, small and midsize firms.
“ShareDo has built a powerhouse, proving that large firms are hungry for smarter, faster and more flexible technology,” said Jack Newton, the CEO and founder of Clio, in a statement. “The large law firm market is on the brink of a major shift, and this acquisition cements our role in leading that change.”
How Wexler AI is transforming legal fact analysis and case strategy — from tech.eu by Cate Lawrence
Wexler AI has developed an AI-embedded platform that enables lawyers to uncover key facts, identify inconsistencies, and streamline case preparation.
It core functionalities include:
Essential AI tools for better work — from wondertools.substack.com by Jeremy Caplan
My favorite tactics for making the most of AI — a podcast conversation
AI tools I consistently rely on (areas covered mentioned below)
AI tactics that work surprisingly well
1. Reverse interviews
Instead of just querying AI, have it interview you. Get the AI to interview you, rather than interviewing it. Give it a little context and what you’re focusing on and what you’re interested in, and then you ask it to interview you to elicit your own insights.”
This approach helps extract knowledge from yourself, not just from the AI. Sometimes we need that guide to pull ideas out of ourselves.
OpenAI’s Deep Research Agent Is Coming for White-Collar Work — from wired.com by Will Knight
The research-focused agent shows how a new generation of more capable AI models could automate some office tasks.
Isla Fulford, a researcher at OpenAI, had a hunch that Deep Research would be a hit even before it was released.
Fulford had helped build the artificial intelligence agent, which autonomously explores the web, deciding for itself what links to click, what to read, and what to collate into an in-depth report. OpenAI first made Deep Research available internally; whenever it went down, Fulford says, she was inundated with queries from colleagues eager to have it back. “The number of people who were DMing me made us pretty excited,” says Fulford.
Since going live to the public on February 2, Deep Research has proven to be a hit with many users outside the company too.
Nvidia to open quantum computing research center in Boston — from seekingalpha.com by Ravikash Bakolia
Nvidia (NASDAQ:NVDA) will open a quantum computing research lab in Boston which is expected to start operations later this year.
The Nvidia Accelerated Quantum Research Center, or NVAQC, will integrate leading quantum hardware with AI supercomputers, enabling what is known as accelerated quantum supercomputing, said the company in a March 18 press release.
Nvidia’s CEO Jensen Huang also made this announcement on Thursday at the company’s first-ever Quantum Day at its annual GTC event.
French quantum computer firm Pasqal links up with NVIDIA — from reuters.com
PARIS, March 21 (Reuters) – Pasqal, a fast-growing French quantum computer start-up company, announced on Friday a partnership with chip giant Nvidia (NVDA.O), opens new tab whereby Pasqal’s customers would gain access to more tools to develop quantum applications.
Pasqal said it would connect its quantum computing units and cloud platform onto NVIDIA’s open-source platform called CUDA-Q.
Introducing next-generation audio models in the API — from openai.com
A new suite of audio models to power voice agents, now available to developers worldwide.
Today, we’re launching new speech-to-text and text-to-speech audio models in the API—making it possible to build more powerful, customizable, and intelligent voice agents that offer real value. Our latest speech-to-text models set a new state-of-the-art benchmark, outperforming existing solutions in accuracy and reliability—especially in challenging scenarios involving accents, noisy environments, and varying speech speeds. These improvements increase transcription reliability, making the models especially well-suited for use cases like customer call centers, meeting note transcription, and more.
From DSC:
Look out Google, Amazon, and others! Nvidia is putting the pedal to the metal in terms of being innovative and visionary! They are leaving the likes of Apple in the dust.
The top talent out there is likely to go to Nvidia for a while. Engineers, programmers/software architects, network architects, product designers, data specialists, AI researchers, developers of robotics and autonomous vehicles, R&D specialists, computer vision specialists, natural language processing experts, and many more types of positions will be flocking to Nvidia to work for a company that has already changed the world and will likely continue to do so for years to come.
NVIDIA just shook the AI and Robotic world at NVIDIA GTC 2025.
CEO Jensen Huang announced jaw-dropping breakthroughs.
Here are the top 11 key highlights you can’t afford to miss: (wait till you see no 3) pic.twitter.com/domejuVdw5
— The AI Colony (@TheAIColony) March 19, 2025
NVIDIA’s AI Superbowl — from theneurondaily.com by Noah and Grant
PLUS: Prompt tips to make AI writing more natural
That’s despite a flood of new announcements (here’s a 16 min video recap), which included:
For enterprises, NVIDIA unveiled DGX Spark and DGX Station—Jensen’s vision of AI-era computing, bringing NVIDIA’s powerful Blackwell chip directly to your desk.
Nvidia Bets Big on Synthetic Data — from wired.com by Lauren Goode
Nvidia has acquired synthetic data startup Gretel to bolster the AI training data used by the chip maker’s customers and developers.
Nvidia, xAI to Join BlackRock and Microsoft’s $30 Billion AI Infrastructure Fund — from investopedia.com by Aaron McDade
Nvidia and xAI are joining BlackRock and Microsoft in an AI infrastructure group seeking $30 billion in funding. The group was first announced in September as BlackRock and Microsoft sought to fund new data centers to power AI products.
Nvidia CEO Jensen Huang says we’ll soon see 1 million GPU data centers visible from space — from finance.yahoo.com by Daniel Howley
Nvidia CEO Jensen Huang says the company is preparing for 1 million GPU data centers.
Nvidia stock stems losses as GTC leaves Wall Street analysts ‘comfortable with long term AI demand’ — from finance.yahoo.com by Laura Bratton
Nvidia stock reversed direction after a two-day slide that saw shares lose 5% as the AI chipmaker’s annual GTC event failed to excite investors amid a broader market downturn.
Microsoft, Google, and Oracle Deepen Nvidia Partnerships. This Stock Got the Biggest GTC Boost. — from barrons.com by Adam Clark and Elsa Ohlen
The 4 Big Surprises from Nvidia’s ‘Super Bowl of AI’ GTC Keynote — from barrons.com by Tae Kim; behind a paywall
AI Super Bowl. Hi everyone. This week, 20,000 engineers, scientists, industry executives, and yours truly descended upon San Jose, Calif. for Nvidia’s annual GTC developers’ conference, which has been dubbed the “Super Bowl of AI.”
20 AI Agent Examples in 2025 — from autogpt.net
AI Agents are now deeply embedded in everyday life and?quickly transforming industry after industry. The global AI market is expected to explode up to $1.59 trillion by 2030! That is a?ton of intelligent agents operating behind the curtains.
That’s why in this article, we explore?20 real-life AI Agents that are causing a stir today.
Top 100 Gen AI apps, new AI video & 3D — from eatherbcooper.substack.com by Heather Cooper
Plus Runway Restyle, Luma Ray2 img2vid keyframes & extend
?In the latest edition of Andreessen Horowitz’s “Top 100 Gen AI Consumer Apps,” the generative AI landscape has undergone significant shifts.
Notably, DeepSeek has emerged as a leading competitor to ChatGPT, while AI video models have advanced from experimental stages to more reliable tools for short clips. Additionally, the rise of “vibecoding” is broadening the scope of AI creators.
The report also introduces the “Brink List,” highlighting ten companies poised to enter the top 100 rankings.?
AI is Evolving Fast – The Latest LLMs, Video Models & Breakthrough Tools — from heatherbcooper.substack.com by Heather Cooper
Breakthroughs in multimodal search, next-gen coding assistants, and stunning text-to-video tech. Here’s what’s new:
I do these comparisons frequently to measure the improvements in different models for text or image to video prompts. I hope it is helpful for you, as well!
I included 6 models for an image to video comparison:
?Video Model Comparison: Image to video
6 Models included:
• Pika 2.1
• Adobe Firefly
• Runway Gen-3
• Kling 1.6
• Luma Ray2
• Hailuo T2V-01This time I used an image generated with Magnific’s new Fluid model ( Google DeepMind’s Imagen + Mystic 2.5 ), and the same… pic.twitter.com/rH1gRbhynB
— Heather Cooper (@HBCoop_) February 19, 2025
Why Smart Companies Are Granting AI Immunity to Their Employees — from builtin.com by Matt Almassian
Employees are using AI tools whether they’re authorized or not. Instead of cracking down on AI usage, consider developing an AI amnesty program. Learn more.
But the smartest companies aren’t cracking down. They’re flipping the script. Instead of playing AI police, they’re launching AI amnesty programs, offering employees a safe way to disclose their AI usage without fear of punishment. In doing so, they’re turning a security risk into an innovation powerhouse.
…
Before I dive into solutions, let’s talk about what keeps your CISO or CTO up at night. Shadow AI isn’t just about unauthorized tool usage — it’s a potential dirty bomb of security, compliance and operational risks that could explode at any moment.
…
6 Steps to an AI Amnesty Program
A first-ever study on prompts… — from theneurondaily.com
PLUS: OpenAI wants to charge $20K a month to replace you?!
What they discovered might change how you interact with AI:
That’s also why we think you, an actual human, should always place yourself as a final check between whatever your AI creates and whatever goes out into the world.
Leave it to Manus
“Manus is a general AI agent that bridges minds and actions: it doesn’t just think, it delivers results. Manus excels at various tasks in work and life, getting everything done while you rest.”
From DSC:
What could possibly go wrong?!
AI Search Has A Citation Problem — from cjr.org (Columbia Journalism Review) by Klaudia Ja?wi?ska and Aisvarya Chandrasekar
We Compared Eight AI Search Engines. They’re All Bad at Citing News.
We found that…
Chatbots were generally bad at declining to answer questions they couldn’t answer accurately, offering incorrect or speculative answers instead.
Our findings were consistent with our previous study, proving that our observations are not just a ChatGPT problem, but rather recur across all the prominent generative search tools that we tested.
5 new AI tools you’ll actually want to try — from wondertools.substack.com by Jeremy Kaplan
Chat with lifelike AI, clean up audio instantly, and reimagine your career
Hundreds of AI tools emerge every week. I’ve picked five new ones worth exploring. They’re free to try, easy to use, and signal new directions for useful AI.
Example:
Career Dreamer
A playful way to explore career possibilities with AI
Who does need college anymore? About that book title … — from Education Design Lab
As you may know, Lab founder Kathleen deLaski just published a book with a provocative title: Who Needs College Anymore? Imagining a Future Where Degrees Won’t Matter.
Kathleen is asked about the title in every media interview, before and since the Feb. 25 book release. “It has generated a lot of questions,” she said in our recent book chat. “I tell people to focus on the word, ‘who.’ Who needs college anymore? That’s in keeping with the design thinking frame, where you look at the needs of individuals and what needs are not being met.”
In the same conversation, Kathleen reminded us that only 38% of American adults have a four-year degree. “We never talk about the path to the American dream for the rest of folks,” she said. “We currently are not supporting the other really interesting pathways to financial sustainability — apprenticeships, short-term credentials. And that’s really why I wrote the book, to push the conversation around the 62% of who we call New Majority Learners at the Lab, the people for whom college was not designed.” Watch the full clip
She distills the point into one sentence in this SmartBrief essay: “The new paradigm is a ‘yes and’ paradigm that embraces college and/or other pathways instead of college or bust.”
What can colleges do moving forward?
In this excellent Q&A with Inside Higher Ed, Kathleen shares her No. 1 suggestion: “College needs to be designed as a stepladder approach, where people can come in and out of it as they need, and at the very least, they can build earnings power along the way to help afford a degree program.”
In her Hechinger Report essay, Kathleen lists four more steps colleges can take to meet the demand for more choices, including “affordability must rule.”
From white-collar apprenticeships and micro-credential programs at local community colleges to online bootcamps, self-instruction using YouTube, and more—students are forging alternative paths to GREAT high-paying jobs. (source)
The $100 billion disruption: How AI is reshaping legal tech — from americanbazaaronline.com by Rohan Hundia and Rajesh Mehta
The Size of the Problem: Judicial Backlog and Inefficiencies
India has a massive backlog of more than 47 million pending cases, with civil litigation itself averaging 1,445 days in resolution. In the United States, federal courts dispose of nearly 400,000 cases a year, and complex litigations take years to complete. Artificial intelligence-driven case law research, contract automation, and predictive analytics will cut legal research times by 90%, contract drafting fees by 60%, and hasten case settlements, potentially saving billions of dollars in legal costs.
This is not just an evolution—it is a permanent change toward data-driven jurisprudence, with AI supplementing human capabilities, speeding up delivery of justice, and extending access to legal services. The AI revolution for legal tech is not on its way; it is already under way, dismantling inefficiencies and transforming the legal world in real time.
Scaling and Improving Legal Tech Projects — from legaltalknetwork.com by Taylor Sartor, Luigi Bai, David Gray, and Cat Moon
Legal tech innovators discuss how they are working to scale and improve their successful projects on Talk Justice. FosterPower and Legal Aid Content Intelligence (LACI) leverage technology to make high-quality legal information available to people for free online. Both also received Technology Initiative Grants (TIG) from the Legal Services Corporation to launch their projects. Then, in 2024 they were both selected for a different TIG, called the Sustainability, Enhancement and Adoption (SEA) grant. This funding supports TIG projects that have demonstrated excellent results as they improve their tools and work to increase uptake.
Introducing NextGenAI: A consortium to advance research and education with AI — from openai.com; via Claire Zau
OpenAI commits $50M in funding and tools to leading institutions.
Today, we’re launching NextGenAI, a first-of-its-kind consortium with 15 leading research institutions dedicated to using AI to accelerate research breakthroughs and transform education.
AI has the power to drive progress in research and education—but only when people have the right tools to harness it. That’s why OpenAI is committing $50M in research grants, compute funding, and API access to support students, educators, and researchers advancing the frontiers of knowledge.
Uniting institutions across the U.S. and abroad, NextGenAI aims to catalyze progress at a rate faster than any one institution would alone. This initiative is built not only to fuel the next generation of discoveries, but also to prepare the next generation to shape AI’s future.
‘I want him to be prepared’: why parents are teaching their gen Alpha kids to use AI — from theguardian.com by Aaron Mok; via Claire Zau
As AI grows increasingly prevalent, some are showing their children tools from ChatGPT to Dall-E to learn and bond
“My goal isn’t to make him a generative AI wizard,” White said. “It’s to give him a foundation for using AI to be creative, build, explore perspectives and enrich his learning.”
White is part of a growing number of parents teaching their young children how to use AI chatbots so they are prepared to deploy the tools responsibly as personal assistants for school, work and daily life when they’re older.
You can now use Deep Research without $200 — from flexos.work
Accelerating scientific breakthroughs with an AI co-scientist — from research.google by Juraj Gottweis and Vivek Natarajan
We introduce AI co-scientist, a multi-agent AI system built with Gemini 2.0 as a virtual scientific collaborator to help scientists generate novel hypotheses and research proposals, and to accelerate the clock speed of scientific and biomedical discoveries.
Now decides next: Generating a new future — from Deloitte.com
Deloitte’s State of Generative AI in the Enterprise Quarter four report
There is a speed limit. GenAI technology continues to advance at incredible speed. However, most organizations are moving at the speed of organizations, not at the speed of technology. No matter how quickly the technology advances—or how hard the companies producing GenAI technology push—organizational change in an enterprise can only happen so fast.
Barriers are evolving. Significant barriers to scaling and value creation are still widespread across key areas. And, over the past year regulatory uncertainty and risk management have risen in organizations’ lists of concerns to address. Also, levels of trust in GenAI are still moderate for the majority of organizations. Even so, with increased customization and accuracy of models—combined with a focus on better governance— adoption of GenAI is becoming more established.
Some uses are outpacing others. Application of GenAI is further along in some business areas than in others in terms of integration, return on investment (ROI) and expectations. The IT function is most mature; cybersecurity, operations, marketing and customer service are also showing strong adoption and results. Organizations reporting higher ROI for their most scaled initiatives are broadly further along in their GenAI journeys.
Nvidia helps launch AI platform for teaching American Sign Language — from venturebeat.com by Dean Takahashi; via Claire Zau
Nvidia has unveiled a new AI platform for teaching people how to use American Sign Language to help bridge communication gaps.
The Signs platform is creating a validated dataset for sign language learners and developers of ASL-based AI applications.
…
Nvidia, the American Society for Deaf Children and creative agency Hello Monday are helping close this gap with Signs, an interactive web platform built to support ASL learning and the development of accessible AI applications.
Using Gen AI to Design, Implement, and Assess PBL — from gettingsmart.com by David Ross
Key Points
I usually conclude blogs with some pithy words, but this time I’ll turn the microphone over to Rachel Harcrow, a high school English/Language Arts teacher at Young Women’s College Prep Charter School of Rochester, NY: “After years of struggling to call myself a PBL practitioner, I finally feel comfortable saying I am, thanks to the power of Gen AI,” Harcrow told me. “Initial ideas now turn into fully fledged high-quality project plans in minutes that I can refine, giving me the space and energy to focus on what truly matters: My students.”
AI Resources for District Leaders — from techlearning.com by Steve Baule
Educational leaders aiming to effectively integrate generative AI into their schools should consider several key resources
To truly harness the transformative power of generative AI in education, district leaders must navigate a landscape rich with resources and opportunities. By delving into state and national guidelines, exploring successful case studies, utilizing innovative planning tools, and engaging in professional development, educational leaders can craft robust implementation plans. These plans can then assist in integrating AI seamlessly into their schools and elevate the learning experience to new heights.
Anthropic brings ‘extended thinking’ to Claude, which can solves complex physics problems with 96.5% accuracy — from rdworldonline.com by Brian Buntz
Anthropic, a favorite frontier AI lab among many coders and genAI power users has unveiled Claude 3.7 Sonnet, its first “hybrid reasoning” AI model. It is capable of both near-instant answers and in-depth, step-by-step reasoning within a single system.
Users can toggle an extended thinking mode where the model self-reflects before answering, considerably improving performance on complex tasks like math, physics and coding. In early testing by the author, the model largely succeeded in creating lines of Python (related to unsupervised learning) that were close to 1,000 lines long that ran without error on the first or second try, including the unsupervised machine learning task shown below:
New Tools. Old Complaints. Why AI Won’t Kill Education or Fix it — from coolcatteacher.com by Vicki Davis; via Stephen Downes
AI won’t kill education. But will it kill learning? The challenge isn’t AI itself—it’s whether students can still think for themselves when the answers are always one click away.
…
Wait. Before you go, let me ask you one thing.
AI has opportunities to help learning. But it also won’t fix it. The real question isn’t whether students can use AI—but whether they’re still learning without it.
Whether the learning is happening between the ears.
And so much of what we teach in schools isn’t the answers on a test. It answers questions like “What is my purpose in life?” “How do I make friends?” and “How can I help my team be stronger.” Questions that aren’t asked on a test but are essential to living a good life. These questions aren’t answered between the ears but within the heart.
That, my friends, is what teaching has always been about.
The heart.
And the heart of the matter is we have new challenges, but these are old complaints. Complaints since the beginning of time and teaching. And in those days, you didn’t need kids just to be able to talk about how to build a fire, they had to make one themselves. Their lives depend on it.
And these days, we need to build another kind of fire. A fire that sparks the joy of learning. The joy of the opportunities that await us sparked by some of the most powerful tools ever invented. Kids need to not be able to just talk about making a difference, they need to know how to build a better world tomorrow. Our lives depend on it.
How Debating Skills Can Help Us In The Fight Against AI — from adigaskell.org by Adi Gaskell
Debating skills have a range of benefits in the workplace, from helping to improve our communication to bolstering our critical thinking skills. Research from the University of Mississippi suggests it might also help us in the battle with AI in the workplace.
We can often assume that debate teaches us nothing more than how to argue our point, but in order to do this, we have to understand both our own take on a subject and that of our opponent. This allows us to see both sides of any issue we happen to be debating.
“Even though AI has offered a shortcut through the writing process, it actually still is important to be able to write and speak and think on your own,” the researchers explain. “That’s what the focus of this research is: how debate engenders those aspects of being able to write and speak and study and research on your own.”
.
Building an AI-Ready Workforce: A look at College Student ChatGPT Adoption in the US — from cdn.openai.com
One finding from our student survey that stood out to us: Many college and university students are teaching themselves and their friends about AI without waiting for their institutions to provide formal AI education or clear policies about the technology’s use. The education ecosystem is in an important moment of exploration and learning, but the rapid adoption by students across the country who haven’t received formalized instruction in how and when to use the technology creates disparities in AI access and knowledge.
The enclosed snapshot of how young people are using ChatGPT provides insight into the state of AI use among America’s college-aged students. We also include actionable proposals to help address adoption gaps. We hope these insights and proposals can inform research and policy conversation across the nation’s education ecosystem about how to achieve outcomes that support our students, our workforce, and the economy. By improving literacy, expanding access, and implementing clear policies, policymakers and educators can better integrate AI into our educational infrastructure and ensure that our workforce is ready to both sustain and benefit from our future with AI.
Leah Belsky | Vice President, Education | OpenAI
5 Legal Tech Trends Set to Impact Law Firms in 2025 — from programminginsider.com by Marc Berman
The legal industry is experiencing swift changes, with technology becoming an ever more crucial factor in its evolution. As law firms respond to shifting client demands and regulatory changes, the pace of change is accelerating. Embracing legal tech is no longer just an advantage; it’s a necessity.
According to a Forbes report, 66% of legal leaders acknowledge this trend and intend to boost their investments in legal tech moving forward. From artificial intelligence streamlining workflows to cloud computing enabling globalized legal services, the legal landscape is undergoing a digital revolution.
In this article, we’ll explore five key legal tech trends that will define how law firms operate in 2025.
GenAI, Legal Ops, and The Future of Law Firms: A Wake-Up Call? — from echlawcrossroads.com by Stephen Embry
A new study from the Blickstein Group reveals some distributing trends for law firms that represent businesses, particularly large ones. The Study is entitled Legal Service Delivery in the Age of AI. The Study was done jointly by FTI Technologies, a consulting group, and Blickstein. It looks at law department legal operations.
The Findings
GenAI Use by Legal Ops Personnel
The responses reflect a bullish view of what GenAI can do in the legal marketplace but also demonstrate GenAi has a ways to go:
The biggest barrier to the use of GenAI among the legal ops professions is cost and security concerns and the lack of skilled personnel available to them.
Voting Is Closed, Results Are In: Here are the 15 Legal Tech Startups Selected for the 2025 Startup Alley at ABA TECHSHOW — from lawnext.com by Bob Ambrogi
Voting has now closed and your votes have been tallied to pick the 15 legal tech startups that will get to participate as finalists in the ninth-annual Startup Alley at ABA TECHSHOW 2025, taking place April 2-5 in Chicago.
These 15 finalists will face off in an opening-night pitch competition that is the opening event of TECHSHOW, with the conference’s attendees voting at the conclusion of the pitches to pick the top winners.
Balancing innovation and ethics: Applying generative AI in legal work — from legal.thomsonreuters.com
Generative artificial intelligence (GenAI) has brought a new wave of opportunities to the legal profession, opening doors to greater efficiency and innovation. Its rapid development has also raised questions about its integration within the legal industry. As legal professionals are presented with more options for adopting new technologies, they now face the important task of understanding how GenAI can be seamlessly — and ethically — incorporated into their daily operations.
Emerging Trends in Court Reporting for 2025: Legal Technology and Advantages for Law Firms — from jdsupra.com
The court reporting industry is evolving rapidly, propelled by technological advancements and the increasing demand for efficiency in the legal sector. For 2025, trends such as artificial intelligence (AI), real-time transcription technologies, and data-driven tools are reshaping how legal professionals work. Here’s an overview of these emerging trends and five reasons law firms should embrace these advancements.
The Learning & Development Global Sentiment Survey 2025 — from donaldhtaylor.co.uk by Don Taylor
The L&D Global Sentiment Survey, now in its 12th year, once again asked two key questions of L&D professionals worldwide:
For the obligatory question on what they considered ‘hot’ topics, respondents voted for one to three of 15 suggested options, plus a free text ‘Other’ option. Over 3,000 voters participated from nearly 100 countries. 85% shared their challenges for 2025.
The results show more interest in AI, a renewed focus on showing the value of L&D, and some signs of greater maturity around our understanding of AI in L&D.