Inspired by my recent Review: Shure MV7 dynamic hybrid studio microphone – near, far and beyond, Beaker Films of Fairfield, Connecticut, US has developed and deployed a first batch of 10 kits to capture remote conversations from different locations worldwide. Beaker Films is frequently contracted to record remote interviews or testimonials from medical professionals. For this project, Beaker Films’ clients wanted consistent, high quality audio and video, but with 3 additional challenges: they preferred to have no visible microphone in the shot, they needed a teleprompter function and the whole kit needed to be as simple as possible for non-technical guests.
West Suffolk College in the UK has opened its Extended Reality Lab (XR Lab), the facilities comprise of four distinct areas: an Immersion Lab, a Collaboration Theatre, a Green Room, and a Conference Room. The project was designed by architects WindsorPatania for Eastern Colleges Group.
Systems integrator CJP Broadcast Service Solutions, has won a tender to build a virtual production environment for Solent University in the UK.
The new facilities, converted from an existing studio space, will provide students on the film production courses with outstanding opportunities to develop their creative output.
We’ve known for a long time that higher education can play a huge role in helping people who serve time in prison get back on their feet. Research shows that higher-ed attainment is directly correlated with a lower likelihood of being reincarcerated, as is stable employment.
But people getting out of prison face many obstacles in finding jobs, and lack of educational opportunities is just part of the issue. A patchwork of more than 14,000 federal, state and local laws and regulations restricts individuals who have arrest and conviction histories from getting licensed in certain fields. Here’s some of what my reporting found about how pervasive this problem is and why it matters:
Over 90% of in-house counsel and three quarters of private practice lawyers said that the legal sector is slow to embrace data, technology and new delivery models – a significant increase on the 64% who felt the same way last year.
In terms of the disconnect, 96% of in-house counsel agreed with the statement that what law firms provide is out of kilter with what clients expect. The majority (78%) of private practice lawyers also largely agreed.
AUSTIN, Tex. — ndaOK, an innovator in AI-powered legal technology, today announces the launch of its next-generation non-disclosure agreement (NDA) review system. This advanced solution leverages OpenAI’s GPT-4 large multimodal model, a first among legal technology companies, offering unprecedented performance and efficiency in reviewing NDAs.
Capitalizing on the computational power and versatility of GPT-4, ndaOK accurately reviews and edits documents based on a user’s pre-determined requirements without the need for human assistance or input. This unique capability makes ndaOK faster and easier to deploy than any other AI-based contract review solution.
And here are two relevant postings that I missed a while back:
As law firms, businesses, and their clients adapt to the new realities of the legal and business worlds, law schools must prepare students in new ways—beyond traditional law school curricula and teaching methods—to give students an experience and education that better prepares them for their post-graduation careers.
Bloomberg Law launched its inaugural Law School Innovation Program as a means of promoting, acknowledging, and connecting the law schools that are innovating in the legal education space and providing their students with new ways of learning the law.
The demand for good lawyers is nothing new and, each year, law schools churn out graduates equipped with virtually the same skills as decades of law students before them. But one school is trying to change that.
The University of Richmond’s Legal Business Design Hub has students focus on the strategy, design, and operations of legal services in addition to their regular coursework, applying what the program calls “an entrepreneur’s mind” to their studies.
It’s time for a Legal Moonshot — from jordanfurlong.substack.com by Jordan Furlong All the challenges facing the legal sector today are systemic and entrenched. To solve them, we have to make a radical commitment to accomplish what we once believed impossible.
Here are three Legal Moonshots that the legal profession could take the lead on.
Establish universal access to justice.
Someday, this will be reality. Everyone will know their basic legal rights and can easily exercise them. Legal remedies will be free or extremely low-cost. Courts will be integrated into communities with simple entry and guided assistance, delivering clear and swift justice. AI-driven online services will render business agreements and settle everyday disputes. Everyone will have a last will and testament. Nobody will have to represent themselves. Justice will be real. That is all possible, and lawyers can lead the way there. It’s our Holy Grail. Let’s make it actually happen.
Adriana explains the differences between case management software, document management platforms, and practice management software. She also touches on the importance of document assembly software and how to maximize the use of data captured during the various stages of a legal matter. She closes out the discussion explaining why many in legal are missing out when they don’t use CRMs–Client and Customer Relationship Management platforms.
Given these intrinsic advantages, it should come as no surprise that virtual law firms are on the rise. The shutdown and disruptions caused by Covid have provided a further impetus to this trend. For example, it would take an attorney the whole day to drive to the courthouse, park, wait for the judge to call their case, argue the matter, then drive back to the office. Now the same matter can be handled through Zoom and court filings can be filed online. However, after these measures were instituted, I’ve seen how the opposition to such virtual measures has eroded as the real savings in time and money to all parties concerned have become very clear.
LOS ANGELES, July 21, 2023 (GLOBE NEWSWIRE) — Legal Soft, a pioneering company in legal technology, is leveraging the power of artificial intelligence (AI) to revolutionize the development of training materials for law firms. Committed to advancing legal education and professional development, Legal Soft’s innovative AI-driven platform is transforming the training landscape for legal professionals.
AI legal case analysis refers to the use of AI algorithms to analyze legal cases, identify patterns, predict outcomes, and provide insights that can aid in legal decision-making. This technology has the potential to revolutionize the way lawyers approach case strategy, conduct legal research, and even interact with clients.
One of the most significant benefits of AI legal case analysis is its ability to process vast amounts of data quickly and accurately. Traditional legal research is a time-consuming process that involves sifting through hundreds, if not thousands, of cases to find relevant precedents. AI can automate this process, analyzing thousands of cases in a fraction of the time it would take a human. This not only saves time but also increases the accuracy of the research reducing the risk of human error.
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Moreover, AI can identify patterns and trends in case law that might be overlooked human researchers. For instance, AI can analyze the decisions of a particular judge or court to determine how they typically rule on certain issues. This information can be invaluable in formulating a case strategy or predicting the outcome of a case.
From DSC: I’m not sure how I feel about this yet…but I have to admit that I’m very tentative and a bit suspect at this point.
Lawyers’ jobs will be different and new roles have and will continue to emerge, such as the legal technologist. I believe further momentum will come with the growth of future lawyers.
I would like to see AI support the people via perhaps a chatbot that can offer reliable and accurate guidance to support individuals and services to help mitigate the pain relating to basic but fundamental legal matters to fill this void. Issues such as homelessness, debt, asylum, slavery etc. would be examples of such areas to prioritise.
Law firms that want to use AI-powered legal tech should first adopt the mindset that AI is there to supplement their attorneys’ roles, not replace those roles. They must come to view AI-driven legal tech as a means to complete their jobs more efficiently and better address their clients’ needs.
LexisNexis Legal & Professional (on 13 July) released a new report entitled “Generative AI and the future of the legal profession”, which highlights the at times surprising expectations of in-house counsel and law firms when it comes to generative AI adoption.
Forty nine percent of in-house counsel expect their law firms to be using generative AI in the next 12 months, including 11% who say they expect firms to be already using the technology. Only 8% didn’t want AI used on their work. In contrast, 24% of firms believe their clients would not want them to use AI.
The survey, conducted among 1,175 UK legal professionals from May to June 2023, finds 87% of legal professionals are aware of generative AI tools and of that group, 95% agree these tools will have an impact on the practice of law (38% said it will have a significant impact,11% said it will be transformative and 46% thought it would have “some impact”).
Suddenly the most urgent in-house legal conversations centered on which new technology to install next. And while I’m glad to see more legal departments shift their mindsets, I still preach caution. Budgets are tight, change is difficult and selecting the right tool at the wrong moment can prove counterproductive.
So before starting the search for innovative or new legal tech, it’s always best to assess your readiness with a few quick criteria.
“…what if generative AI could provide every instructor with a genuine teaching assistant – a teaching assistant that actually assisted instructors with their teaching?”
For my cryptography course, Mollick’s first option would probably mean throwing out all my existing reading questions. My intent with these reading questions was noble, that is, to guide students to the big questions and debates in the field, but those are exactly the kinds of questions for which AI can write decent answers. Maybe the AI tools would fare worse in a more advanced course with very specialized readings, but in my intro to cryptography course, they can handle my existing reading questions with ease.
What about option two? I think one version of this would be to do away with the reading response assignment altogether.
Generative AI imagines new protein structures — from news.mit.edu by Rachel Gordon; resource from Sunday Signal MIT researchers develop “FrameDiff,” a computational tool that uses generative AI to craft new protein structures, with the aim of accelerating drug development and improving gene therapy.
Ready to Sing Elvis Karaoke … as Elvis? The Weird Rise of AI Music — from rollingstone.com by Brian Hiatt; resource from Misha da Vinci From voice-cloning wars to looming copyright disputes to a potential flood of nonhuman music on streaming, AI is already a musical battleground
Improving Access to Justice: One significant advantage of AI in the legal profession is its potential to improve access to justice. The high costs associated with legal services have traditionally created barriers for individuals with limited financial means. However, AI-powered solutions can help bridge this gap by providing affordable and accessible legal information and guidance. Virtual legal assistants and chatbots can assist individuals with legal queries, empowering them to navigate legal processes more effectively and make informed decisions. By leveraging AI, the legal profession can become more inclusive and ensure that legal services are available to a broader segment of society.
Also relevant/see:
Law Unlimited: Welcome to the re-envisioned legal profession — from jordanfurlong.substack.com by Jordan Furlong Will Generative AI destroy law firms? Only if lawyers are too fixed in their ways to see the possibilities that lie beyond who we’ve always been and what we’ve always done.
Excerpt:
The immediate impact of Gen AI on legal services will be to introduce unprecedented efficiency to the production of countless legal documents and processes. For most of the last century, lawyers have personally performed this work, spending and billing hours or parts of hours to accomplish each task. Law firms have used this production method to provide on-the-job training for inexperienced lawyers and have leveraged those hours to generate profits for their partners. But LLMs can now do the same work in seconds, as effectively as lawyers can today and much better in the near future. This is, among other things, a very serious problem for law firms’ business models and talent development practices, not to mention a real challenge to lawyer education and training and potentially a revolution in access to justice.
A quick note: When I refer to neurodivergent (ND) students, I mean people whose mental or neurological function is different from what is considered typical. This includes not only students with ADHD or autism, but also those with anxiety, depression, or other mental-health disorders. Crucially, I’m also writing here about the many college students who are struggling with their mental health for whatever reason, and need our understanding and care to prevent them from doing poorly, dropping out, or facing something much, much worse.
Two key messages underlie all of the advice that follows: More communication. Less suspicion.
Also from Katie Rose Guest Pryal out at The Chronicle, of Higher Education, see:
Chatbots, data scientists, software engineers. As clients demand more for less, law firms are hiring growing numbers of staff who’ve studied technology not tort law to try and stand out from their rivals.
Law firms are advertising for experts in artificial intelligence “more than ever before,” says Chris Tart-Roberts, head of the legal technology practice at Macfarlanes, describing a trend he says began about six months ago.
Law firm leaders and consultants are unsure of how AI use will ultimately impact the legal workforce.
Consults are advising law firms and attorneys alike to adapt to the use of generative AI, viewing this as an opportunity for attorneys to learn new skills and law firms to take a look at their business models.
Split between foreseeing job cuts and opportunities to introduce new skills and additional efficiencies into the office, firm leaders and consultants remain uncertain about the impact of artificial intelligence on the legal workforce.
However, one thing is certain: law firms and attorneys need to adapt and learn how to integrate this new technology in their business models, according to consultants.
Are you overwhelmed by countless cases, complex legal concepts, and endless readings? Law School AI is here to help. Our cutting-edge AI chatbot is designed to provide law students with an accessible, efficient, and engaging way to learn the law. Our chatbot simplifies complex legal topics, delivers personalized study guidance, and answers your questions in real-time – making your law school journey a whole lot easier.
Job title of the future: metaverse lawyer— from technologyreview.com by Amanda Smith Madaline Zannes’s virtual offices come with breakout rooms, an art gallery… and a bar. .
Excerpt:
Lot #651 on Somnium Space belongs to Zannes Law, a Toronto-based law firm. In this seven-level metaverse office, principal lawyer Madaline Zannes conducts private consultations with clients, meets people wandering in with legal questions, hosts conferences, and gives guest lectures. Zannes says that her metaverse office allows for a more immersive, imaginative client experience. She hired a custom metaverse builder to create the space from scratch—with breakout rooms, presentation stages, offices to rent, an art gallery, and a rooftop bar.
Greg spoke with an AI guest named Justis for this episode. Justis, powered by OpenAI’s GPT-4, was able to have a natural conversation with Greg and provide insightful perspectives on the use of generative AI in the legal industry, specifically in law firms.
In the first part of their discussion, Justis gave an overview of the legal industry’s interest in and uncertainty around adopting generative AI. While many law firm leaders recognize its potential, some are unsure of how it fits into legal work or worry about risks. Justis pointed to examples of firms exploring AI and said letting lawyers experiment with the tools could help identify use cases.
Putting Humans First: Solving Real-Life Problems With Legal Innovation— from abovethelaw.com by Olga Mack Placing the end-user at the heart of the process allows innovators to identify pain points and create solutions that directly address the unique needs and challenges individuals and businesses face.
A pilot project designed to test the potential of artificial intelligence tools at McCarthy Tétrault LLP showed that certain types of applications for the legal profession seemed to work better than others, panellists told attendees to the recent Canadian Lawyer Legal Tech Summit.
“I would say that the results were mixed,” David Cohen, senior director of client service delivery for the firm. During the panel, moderated by University of Calgary assistant professor Gideon Christian, Cohen spoke about a pilot of about 40 lawyers from different practices at the firm who used an AI platform with only public data.
The group [testing the platform] said it needs to get better before we start using this for research,” he said. However, he said, when it came to tasks like generating documents, reviewing 100-page cases “and summarizing and analyzing them,” the AI platforms did much better.
To help with this, our Client Success Team have summarised the eight key legal technology trends in the market, as well as the themes discussed at recent legal technology events and conferences including the British Legal Technology Forum and iManage ConnectLive Virtual 2023, both of which we were proud to sponsor.
On a somewhat related note, also see:
Designing the Law Office of the Future — from workdesign.com by Deborah Nemeth Deborah Nemeth of SmithGroup shares how inspiration from higher education and hospitality can help inform the next evolution of the law office.
“The proposed transaction will complement Thomson Reuters existing AI roadmap and builds on its recent initiatives, including a commitment to invest more than $100 million annually on AI capabilities, the development of new generative AI experiences across its product suite, as well as a new plugin with Microsoft and Microsoft 365 Copilot for legal professionals,” TR’s announcement said.
From DSC: I post this to show how AI continues to make inroads into the legal realm — and how serious vendors are about it. I believe AI-enabled applications will eventually increase access to justice for the citizens of the United States of America.
Below is an addendum on 6/28/23 that further illustrates how serious vendors are about AI:
Databricks announced it will pay $1.3 billion to acquire MosaicML, an open source startup with neural networks expertise that has built a platform for organizations to train large language models and deploy generative AI tools based on them.
— Daniel Christian (he/him/his) (@dchristian5) June 23, 2023
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On giving AI eyes and ears— from oneusefulthing.org by Ethan Mollick AI can listen and see, with bigger implications than we might realize.
Excerpt:
But even this is just the beginning, and new modes of using AI are appearing, which further increases their capabilities. I want to show you some examples of this emerging world, which I think will soon introduce a new wave of AI use cases, and accompanying disruption.
We need to recognize that these capabilities will continue to grow, and AI will be able to play a more active role in the real world by observing and listening. The implications are likely to be profound, and we should start thinking through both the huge benefits and major concerns today.
Even though generative AI is a new thing, it doesn’t change why students cheat. They’ve always cheated for the same reason: They don’t find the work meaningful, and they don’t think they can achieve it to their satisfaction. So we need to design assessments that students find meaning in.
Tricia Bertram Gallant
Caught off guard by AI— from chonicle.com by Beth McMurtrie and Beckie Supiano Professor scrambled to react to ChatGPT this spring — and started planning for the fall
Excerpt:
Is it cheating to use AI to brainstorm, or should that distinction be reserved for writing that you pretend is yours? Should AI be banned from the classroom, or is that irresponsible, given how quickly it is seeping into everyday life? Should a student caught cheating with AI be punished because they passed work off as their own, or given a second chance, especially if different professors have different rules and students aren’t always sure what use is appropriate?
…OpenAI built tool use right into the GPT API with an update called function calling. It’s a little like a child’s ability to ask their parents to help them with a task that they know they can’t do on their own. Except in this case, instead of parents, GPT can call out to external code, databases, or other APIs when it needs to.
Each function in function calling represents a tool that a GPT model can use when necessary, and GPT gets to decide which ones it wants to use and when. This instantly upgrades GPT capabilities—not because it can now do every task perfectly—but because it now knows how to ask for what it wants and get it. .
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How ChatGPT can help disrupt assessment overload— from timeshighereducation.com by David Carless Advances in AI are not necessarily the enemy – in fact, they should prompt long overdue consideration of assessment types and frequency, says David Carless
Excerpt:
Reducing the assessment burden could support trust in students as individuals wanting to produce worthwhile, original work. Indeed, students can be co-opted as partners in designing their own assessment tasks, so they can produce something meaningful to them.
A strategic reduction in quantity of assessment would also facilitate a refocusing of assessment priorities on deep understanding more than just performance and carries potential to enhance feedback processes.
If we were to tackle assessment overload in these ways, it opens up various possibilities. Most significantly there is potential to revitalise feedback so that it becomes a core part of a learning cycle rather than an adjunct at its end. End-of-semester, product-oriented feedback, which comes after grades have already been awarded, fails to encourage the iterative loops and spirals typical of productive learning. .
Since AI in education has been moving at the speed of light, we built this AI Tools in Education database to keep track of the most recent AI tools in education and the changes that are happening every day.This database is intended to be a community resource for educators, researchers, students, and other edtech specialists looking to stay up to date. This is a living document, so be sure to come back for regular updates.
These claims conjure up the rosiest of images: human resource departments and their robot buddies solving discrimination in workplace hiring. It seems plausible, in theory, that AI could root out unconscious bias, but a growing body of research shows the opposite may be more likely.
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Companies’ use of AI didn’t come out of nowhere: For example, automated applicant tracking systems have been used in hiring for decades. That means if you’ve applied for a job, your resume and cover letter were likely scanned by an automated system. You probably heard from a chatbot at some point in the process. Your interview might have been automatically scheduled and later even assessed by AI.
From DSC:
Here was my reflection on this:
DC: Along these lines, I wonder if Applicant Tracking Systems cause us to become like typecast actors and actresses — only thought of for certain roles. Pigeonholed.
— Daniel Christian (he/him/his) (@dchristian5) June 23, 2023
In June, ResumeBuilder.com surveyed more than 1,000 employees who are involved in hiring processes at their workplaces to find out about their companies’ use of AI interviews.
The results:
43% of companies already have or plan to adopt AI interviews by 2024
Two-thirds of this group believe AI interviews will increase hiring efficiency
15% say that AI will be used to make decisions on candidates without any human input
More than half believe AI will eventually replace human hiring managers
Watch OpenAI CEO Sam Altman on the Future of AI — from bloomberg.com Sam Altman, CEO & Co-Founder, OpenAI discusses the explosive rise of OpenAI and its products and what an AI-laced future can look like with Bloomberg’s Emily Chang at the Bloomberg Technology Summit.
The implementation of generative AI within these products will dramatically improve educators’ ability to deliver personalized learning to students at scale by enabling the application of personalized assessments and learning pathways based on individual student needs and learning goals. K-12 educators will also benefit from access to OpenAI technology…
Why it matters: The best AI assistants will be the ones that require the least prompting. They’ll get to know who you are, what you need, and your modus operandi. Profiles are a good starting point, but we believe the game-changer will be larger context windows (that’s nerd-speak for the amount of context ChatGPT can handle). .
From DSC: And how about taking this a step further and remembering — or being able to access — our constantly updated Cloud-Based Learning Profiles?
