UK

“Leveraging AI to Grow Your Legal Practice” [americanbar.org] + other items re: legaltech

On 11/19/2024, in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Australia, bots, Canada, emerging technologies, future, game-changing environment, innovation, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, UK, United States, vendors, by Daniel Christian

Five key issues to consider when adopting an AI-based legal tech — from legalfutures.co.uk by Mark Hughes

As more of our familiar legal resources have started to embrace a generative AI overhaul, and new players have come to the market, there are some key issues that your law firm needs to consider when adopting an AI-based legal tech.

Licensing
Data protection
The data sets
…and others

Knowable Introduces Gen AI Tool It Says Will Revolutionize How Companies Interact with their Contracts — from lawnext.com by Bob Ambrogi

Knowable, a legal technology company specializing in helping organizations bring order and organization to their executed agreements, has announced Ask Knowable, a suite of generative AI-powered tools aimed at transforming how legal teams interact with and understand what is in their contracts.

Released today as a commercial preview and set to launch for general availability in March 2025, the feature marks a significant step forward in leveraging large language models to address the complexities of contract management, the company says.

The Global Legal Post teams up with LexisNexis to explore challenges and opportunities of Gen AI adoption — from globallegalpost.com by
Series of articles will investigate key criteria to consider when investing in Gen AI

The Global Legal Post has teamed up with LexisNexis to help inform readers’ decision-making in the selection of generative AI (Gen AI) legal research solutions.

The Generative AI Legal Research Hub in association with LexisNexis will host a series of articles exploring the key criteria law firms and legal departments should consider when seeking to harness the power of Gen AI to improve the delivery of legal services.

Leveraging AI to Grow Your Legal Practice — from americanbar.org

Summary

AI-powered tools like chat and scheduling meet clients’ demand for instant, personalized service, improving engagement and satisfaction.
Firms using AI see up to a 30% increase in lead conversion, cutting client acquisition costs and maximizing marketing investments.
AI streamlines processes, speeds up response times, and enhances client engagement—driving growth and long-term client retention.

How a tech GC views AI-enabled efficiencies and regulation — from legaldive.com by Justin Bachman
PagerDuty’s top in-house counsel sees legal AI tools as a way to scale resources without adding headcount while focusing lawyers on their high-value work.

Innovations in Legal Practice: How Tim Billick’s Firm Stays Ahead with AI and Technology — from techtimes.com by Elena McCormick

Enhancing Client Service through Technology
Beyond internal efficiency, Billick’s firm utilizes technology to improve client communication and engagement. By adopting client-facing AI tools, such as chatbots for routine inquiries and client portals for real-time updates, Practus makes legal processes more transparent and accessible to its clients. According to Billick, this responsiveness is essential in IP law, where clients often need quick updates and answers to time-sensitive questions about patents, trademarks, and licensing agreements.

AI-driven client management software is also part of the firm’s toolkit, enabling Billick and his team to track each client’s case progress and share updates efficiently. The firm’s technology infrastructure supports clients from various sectors, including engineering, software development, and consumer products, tailoring case workflows to meet unique needs within each industry. “Clients appreciate having immediate access to their case status, especially in industries where timing is crucial,” Billick shares.

New Generative AI Study Highlights Adoption, Use and Opportunities in the Legal Industry — from prnewswire.com by Relativity

CHICAGO, Nov. 12, 2024 /PRNewswire/ — Relativity, a global legal technology company, today announced findings from the IDC InfoBrief, Generative AI in Legal 2024, commissioned by Relativity. The study uncovers the rapid increase of generative AI adoption in the legal field, examining how legal professionals are navigating emerging challenges and seizing opportunities to drive legal innovation.

The international study surveyed attorneys, paralegals, legal operations professionals and legal IT professionals from law firms, corporations and government agencies. Respondents were located in Australia, Canada, Ireland, New Zealand, the United Kingdom and the United States. The data uncovered important trends on how generative AI has impacted the legal industry and how legal professionals will use generative AI in the coming years.

Using AI to brainstorm students own learning objectives [Potkalitsky] + other items re: AI in our learning ecosystems

On 11/13/2024, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Canvas - and other Instructure-related items, change, colleges, communities of practice, community colleges, content development, aggregation, repositories, corporate universities / corporate training, digital learning, education, education technology, educational games / serious games, emerging technologies, ethics, experimentation, faculty, formal learning, future, future of higher education, game-changing environment, heutagogy, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, informal learning, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, law schools, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning spaces, liberal arts, mathematics, morals/values, platforms, productivity / tips and tricks, skills, student-related, teachers, teaching & learning, technologies for your home, tools, UK, United States, universities, vendors, youth, by Daniel Christian

“The Value of Doing Things: What AI Agents Mean for Teachers” — from nickpotkalitsky.substack.com by guest author Jason Gulya, Professor of English and Applied Media at Berkeley College in New York City

AI Agents make me nervous. Really nervous.

I wish they didn’t.

I wish I could write that the last two years have made me more confident, more self-assured that AI is here to augment workers rather than replace them.

But I can’t.

I wish I could write that I know where schools and colleges will end up. I wish I could say that AI Agents will help us get where we need to be.

But I can’t.

At this point, today, I’m at a loss. I’m not sure where the rise of AI agents will take us, in terms of how we work and learn. I’m in the question-asking part of my journey. I have few answers.

So, let’s talk about where (I think) AI Agents will take education. And who knows? Maybe as I write I’ll come up with something more concrete.

It’s worth a shot, right?

From DSC:
I completely agree with Jason’s following assertion:

A good portion of AI advancement will come down to employee replacement. And AI Agents push companies towards that.

THAT’s where/what the ROI will be for corporations. They will make their investments up in the headcount area, and likely in other areas as well (product design, marketing campaigns, engineering-related items, and more). But how much time it takes to get there is a big question mark.

One last quote here…it’s too good not to include:

Behind these questions lies a more abstract, more philosophical one: what is the relationship between thinking and doing in a world of AI Agents and other kinds of automation?

How Good are Claude, ChatGPT & Gemini at Instructional Design? — from drphilippahardman.substack.com by Dr Philippa Hardman
A test of AI’s Instruction Design skills in theory & in practice

By examining models across three AI families—Claude, ChatGPT, and Gemini—I’ve started to identify each model’s strengths, limitations, and typical pitfalls.

Spoiler: my findings underscore that until we have specialised, fine-tuned AI copilots for instructional design, we should be cautious about relying on general-purpose models and ensure expert oversight in all ID tasks.

From DSC — I’m going to (have Nick) say this again:
I simply asked my students to use AI to brainstorm their own learning objectives. No restrictions. No predetermined pathways. Just pure exploration. The results? Astonishing.

Students began mapping out research directions I’d never considered. They created dialogue spaces with AI that looked more like intellectual partnerships than simple query-response patterns.

The Digital Literacy Quest: Become an AI Hero — from gamma.app

From DSC:
I have not gone through all of these online-based materials, but I like what they are trying to get at:

Confidence with AI
Students gain practical skills and confidence in using AI tools effectively.
Ethical Navigation
Learn to navigate the ethical landscape of AI with integrity and responsibility. Make informed decisions about AI usage.
Mastering Essential Skills
Develop critical thinking and problem-solving skills in the context of AI.

Expanding access to the Gemini app for teen students in education — from workspaceupdates.googleblog.com

Google Workspace for Education admins can now turn on the Gemini app with added data protection as an additional service for their teen users (ages 13+ or the applicable age in your country) in the following languages and countries. With added data protection, chats are not reviewed by human reviewers or otherwise used to improve AI models. The Gemini app will be a core service in the coming weeks for Education Standard and Plus users, including teens,

5 Essential Questions Educators Have About AI — from edsurge.com by Annie Ning

Recently, I spoke with several teachers regarding their primary questions and reflections on using AI in teaching and learning. Their thought-provoking responses challenge us to consider not only what AI can do but what it means for meaningful and equitable learning environments. Keeping in mind these reflections, we can better understand how we move forward toward meaningful AI integration in education.

FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI — from epoch.ai
FrontierMath presents hundreds of unpublished, expert-level mathematics problems that specialists spend days solving. It offers an ongoing measure of AI complex mathematical reasoning progress.

We’re introducing FrontierMath, a benchmark of hundreds of original, expert-crafted mathematics problems designed to evaluate advanced reasoning capabilities in AI systems. These problems span major branches of modern mathematics—from computational number theory to abstract algebraic geometry—and typically require hours or days for expert mathematicians to solve.

Rising demand for AI courses in UK universities shows 453% growth as students adapt to an AI-driven job market — from edtechinnovationhub.com

The demand for artificial intelligence courses in UK universities has surged dramatically over the past five years, with enrollments increasing by 453%, according to a recent study by Currys, a UK tech retailer.

The study, which analyzed UK university admissions data and surveyed current students and recent graduates, reveals how the growing influence of AI is shaping students’ educational choices and career paths.

This growth reflects the broader trend of AI integration across industries, creating new opportunities while transforming traditional roles. With AI’s influence on career prospects rising, students and graduates are increasingly drawn to AI-related courses to stay competitive in a rapidly changing job market.

It’s The End Of The Legal Industry As We Know It — from artificiallawyer.com by Richard Tromans

It’s the end of the legal industry as we know it and I feel fine. I really do.

The legal industry as we know it is already over. The seismic event that triggered this evolutionary shift happened in November 2022. There’s no going back to a pre-genAI world. Change, incremental or otherwise, will be unstoppable. The only question is: at what pace will this change happen?

It’s clear that substantive change at the heart of the legal economy may take a long time – and we should never underestimate the challenge of overturning decades of deeply embedded cultural practices – but, at least it has begun.

AI: The New Legal Powerhouse — Why Lawyers Should Befriend The Machine To Stay Ahead — from today.westlaw.com

(October 24, 2024) – Jeremy Glaser and Sharzaad Borna of Mintz discuss waves of change in the legal profession brought on by AI, in areas such as billing, the work of support staff and junior associates, and ethics.

The dual nature of AI — excitement and fear
AI is evolving at lightning speed, sparking both wonder and worry. As it transforms industries and our daily lives, we are caught between the thrill of innovation and the jitters of uncertainty. Will AI elevate the human experience or just leave us in the dust? How will it impact our careers, privacy and sense of security?

Just as we witnessed with the rise of the internet — and later, social media — AI is poised to redefine how we work and live, bringing a mix of optimism and apprehension. While we grapple with AI’s implications, our clients expect us to lead the charge in leveraging it for their benefit.

However, this shift also means more competition for fewer entry-level jobs. Law schools will play a key role in helping students become more marketable by offering courses on AI tools and technology. Graduates with AI literacy will have an edge over their peers, as firms increasingly value associates who can collaborate effectively with AI tools.

Will YOU use ChatGPT voice mode to lie to your family? Brainyacts #244 — from thebrainyacts.beehiiv.com by Sam Douthit, Aristotle Jones, and Derek Warzel.

Small Law’s Secret Weapon: AI Courtroom Mock Battles — this excerpt is by Brainacts author Josh Kubicki
As many of you know, this semester my law students have the opportunity to write the lead memo for this newsletter, each tackling issues that they believe are both timely and intriguing for our readers. This week’s essay presents a fascinating experiment conducted by three students who explored how small law firms might leverage ChatGPT in a safe, effective manner. They set up ChatGPT to simulate a mock courtroom, even assigning it the persona of a Seventh Circuit Court judge to stage a courtroom dialogue. It’s an insightful take on the how adaptable technology like ChatGPT can offer unique advantages to smaller practices. They share other ideas as well. Enjoy!

The following excerpt was written by Sam Douthit, Aristotle Jones, and Derek Warzel.

One exciting example is a “Courtroom Persona AI” tool, which could let solo practitioners simulate mock trials and practice arguments with AI that mimics specific judges, local courtroom customs, or procedural quirks. Small firms, with their deep understanding of local courts and judicial styles, could take full advantage of this tool to prepare more accurate and relevant arguments. Unlike big firms that have to spread resources across jurisdictions, solo and small firms could use this AI-driven feedback to tailor their strategies closely to local court dynamics, making their preparations sharper and more strategic. Plus, not all solo or small firms have someone to practice with or bounce their ideas off of. For these practitioners, it’s a chance to level up their trial preparation without needing large teams or costly mock trials, gaining a practical edge where it counts most.

Some lawyers have already started to test this out, like the mock trial tested out here. One oversimplified and quick way to try this out is using the ChatGPT app.

The Human in AI-Assisted Dispute Resolution — from jdsupra.com by Epiq

Accountability for Legal Outputs
AI is set to replace some of the dispute resolution work formerly done by lawyers. This work includes summarising documents, drafting legal contracts and filings, using generative AI to produce arbitration submissions for an oral hearing, and, in the not-too-distant future, ingesting transcripts from hearings and comparing them to the documentary record to spot inconsistencies.

As Pendell put it, “There’s quite a bit of lawyering going on there.” So, what’s left for humans?

The common feature in all those examples is that humans must make the judgement call. Lawyers won’t just turn over a first draft of an AI-generated contract or filing to another party or court. The driving factor is that law is still a regulated profession, and regulators will hold humans accountable.

The idea that young lawyers must do routine, menial work as a rite of passage needs to be updated. Today’s AI tools put lawyers at the top of an accountability chain, allowing them to practice law using judgement and strategy as they supervise the work of AI.

Small law firms embracing AI as they move away from hourly billing — from legalfutures.co.uk by Neil Rose

Small law firms have embraced artificial intelligence (AI), with document drafting or automation the most popular application, according to new research.

The survey also found expectations of a continued move away from hourly billing to fixed fees.

Legal technology provider Clio commissioned UK-specific research from Censuswide as an adjunct to its annual US-focused Legal Trends report, polling 500 solicitors, 82% of whom worked at firms with 20 lawyers or fewer.

Some 96% of them reported that their firms have adopted AI into their processes in some way – 56% of them said it was widespread or universal – while 62% anticipated an increase in AI usage over the next 12 months.

Is Generative AI and ChatGPT healthy for Students? — from ai-supremacy.com by Michael Spencer and Nick Potkalitsky
Beyond Text Generation: How AI Ignites Student Discovery and Deep Thinking, according to firsthand experiences of Teachers and AI researchers like Nick Potkalitsky.

After two years of intensive experimentation with AI in education, I am witnessing something amazing unfolding before my eyes. While much of the world fixates on AI’s generative capabilities—its ability to create essays, stories, and code—my students have discovered something far more powerful: exploratory AI, a dynamic partner in investigation and critique that’s transforming how they think.
…
They’ve moved beyond the initial fascination with AI-generated content to something far more sophisticated: using AI as an exploratory tool for investigation, interrogation, and intellectual discovery.
…
Instead of the much-feared “shutdown” of critical thinking, we’re witnessing something extraordinary: the emergence of what I call “generative thinking”—a dynamic process where students learn to expand, reshape, and evolve their ideas through meaningful exploration with AI tools. Here I consciously reposition the term “generative” as a process of human origination, although one ultimately spurred on by machine input.

A Road Map for Leveraging AI at a Smaller Institution — from er.educause.edu by Dave Weil and Jill Forrester
Smaller institutions and others may not have the staffing and resources needed to explore and take advantage of developments in artificial intelligence (AI) on their campuses. This article provides a roadmap to help institutions with more limited resources advance AI use on their campuses.

The following activities can help smaller institutions better understand AI and lay a solid foundation that will allow them to benefit from it.

Understand the impact…
Understand the different types of AI tools…
Focus on institutional data and knowledge repositories…

Smaller institutions do not need to fear being left behind in the wake of rapid advancements in AI technologies and tools. By thinking intentionally about how AI will impact the institution, becoming familiar with the different types of AI tools, and establishing a strong data and analytics infrastructure, institutions can establish the groundwork for AI success. The five fundamental activities of coordinating, learning, planning and governing, implementing, and reviewing and refining can help smaller institutions make progress on their journey to use AI tools to gain efficiencies and improve students’ experiences and outcomes while keeping true to their institutional missions and values.

Also from Educause, see:

From Hype to Help: Making GenAI Useful for Enterprise Reporting and Data Analytics — from er.educause.edu by Craig Rudick

AI school opens – learners are not good or bad but fast and slow — from donaldclarkplanb.blogspot.com by Donald Clark

That is what they are doing here. Lesson plans focus on learners rather than the traditional teacher-centric model. Assessing prior strengths and weaknesses, personalising to focus more on weaknesses and less on things known or mastered. It’s adaptive, personalised learning. The idea that everyone should learn at the exactly same pace, within the same timescale is slightly ridiculous, ruled by the need for timetabling a one to many, classroom model.

For the first time in the history of our species we have technology that performs some of the tasks of teaching. We have reached a pivot point where this can be tried and tested. My feeling is that we’ll see a lot more of this, as parents and general teachers can delegate a lot of the exposition and teaching of the subject to the technology. We may just see a breakthrough that transforms education.

Agentic AI Named Top Tech Trend for 2025 — from campustechnology.com by David Ramel

Agentic AI will be the top tech trend for 2025, according to research firm Gartner. The term describes autonomous machine “agents” that move beyond query-and-response generative chatbots to do enterprise-related tasks without human guidance.
…
More realistic challenges that the firm has listed elsewhere include:

- Agentic AI proliferating without governance or tracking;
- Agentic AI making decisions that are not trustworthy;
- Agentic AI relying on low-quality data;
- Employee resistance; and
- Agentic-AI-driven cyberattacks enabling “smart malware.”

Also from campustechnology.com, see:

New OpenAI Swarm Framework Offers Experimental Tool for Multi-Agent AI Networks — by John K. Waters
OpenAI has introduced a new open source framework designed to simplify the development and management of multi-agent AI systems that can collaborate autonomously to perform tasks.

Three items from edcircuit.com:

All or nothing at Educause24 — from onedtech.philhillaa.com by Kevin Kelly
Looking for specific solutions at the conference exhibit hall, with an educator focus

Here are some notable trends:

Alignment with campus policies: …
Choose your own AI adventure: …
Integrate AI throughout a workflow: …
Moving from prompt engineering to bot building: …
More complex problem-solving: …

…
Not all AI news is good news. In particular, AI has exacerbated the problem of fraudulent enrollment–i.e., rogue actors who use fake or stolen identities with the intent of stealing financial aid funding with no intention of completing coursework.
…
The consequences are very real, including financial aid funding going to criminal enterprises, enrollment estimates getting dramatically skewed, and legitimate students being blocked from registering for classes that appear “full” due to large numbers of fraudulent enrollments.

“The end of courts?” [Furlong] + other legaltech-related items

On 10/29/2024, in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, assessment, Canada, emerging technologies, experimentation, funding / grants, future, innovation, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, podcasting, UK, United States, vendors, by Daniel Christian

Introducing QuizBot an Innovative AI-Assisted Assessment in Legal Education — from papers.ssrn.com by Sean A Harrington

Abstract

This Article explores an innovative approach to assessment in legal education: an AI-assisted quiz system implemented in an AI & the Practice of Law course. The system employs a Socratic method-inspired chatbot to engage students in substantive conversations about course materials, providing a novel method for evaluating student learning and engagement. The Article examines the structure and implementation of this system, including its grading methodology and rubric, and discusses its benefits and challenges. Key advantages of the AI-assisted quiz system include enhanced student engagement with course materials, practical experience in AI interaction for future legal practice, immediate feedback and assessment, and alignment with the Socratic method tradition in law schools. The system also presents challenges, particularly in ensuring fairness and consistency in AI-generated questions, maintaining academic integrity, and balancing AI assistance with human oversight in grading.

The Article further explores the pedagogical implications of this innovation, including a shift from memorization to conceptual understanding, the encouragement of critical thinking through AI interaction, and the preparation of students for AI-integrated legal practice. It also considers future directions for this technology, such as integration with other law school courses, potential for longitudinal assessment of student progress, and implications for bar exam preparation and continuing legal education. Ultimately, this Article argues that AI-assisted assessment systems can revolutionize legal education by providing more frequent, targeted, and effective evaluation of student learning. While challenges remain, the benefits of such systems align closely with the evolving needs of the legal profession. The Article concludes with a call for further research and broader implementation of AI-assisted assessment in law schools to fully understand its impact and potential in preparing the next generation of legal professionals for an AI-integrated legal landscape.

Keywords: Legal Education, Artificial Intelligence, Assessment, Socratic Method, Chatbot, Law School Innovation, Educational Technology, Legal Pedagogy, AI-Assisted Learning, Legal Technology, Student Engagement, Formative Assessment, Critical Thinking, Legal Practice, Educational Assessment, Law School Curriculum, Bar Exam Preparation, Continuing Legal Education, Legal Ethics, Educational Analytics

How Legal Startup Genie AI Raises $17.8 Million with Just 13 Slides — from aisecret.us

Genie AI, a London-based legal tech startup, was founded in 2017 by Rafie Faruq and Nitish Mutha. The company has been at the forefront of revolutionizing the legal industry by leveraging artificial intelligence to automate and enhance legal document drafting and review processes. The recent funding round, led by Google Ventures and Khosla Ventures, marks a significant milestone in Genie AI’s growth trajectory.

In-house legal teams are adopting legal tech at lower rate than law firms: survey — from canadianlawyermag.com
The report suggests in-house teams face more barriers to integrating new tools

Law firms are adopting generative artificial intelligence tools at a higher rate than in-house legal departments, but both report similar levels of concerns about data security and ethical implications, according to a report on legal tech usage released Wednesday.

Legal tech company Appara surveyed 443 legal professionals in Canada across law firms and in-house legal departments over the summer, including lawyers, paralegals, legal assistants, law clerks, conveyancers, and notaries.

Twenty-five percent of respondents who worked at law firms said they’ve already invested in generative AI tools, with 24 percent reporting they plan to invest within the following year. In contrast, only 15 percent of respondents who work in-house have invested in these tools, with 26 percent planning investments in the future.

The end of courts? — from jordanfurlong.substack.com by Jordan Furlong
Civil justice systems aren’t serving the public interest. It’s time to break new ground and chart paths towards fast and fair dispute resolution that will meet people’s actual needs.

We need to start simple. System design can get extraordinarily complex very quickly, and complexity is our enemy at this stage. Tom O’Leary nicely inverted Deming’s axiom with a question of his own: “We want the system to work for [this group]. What would need to happen for that to be true?”

If we wanted civil justice systems to work for the ordinary people who enter them seeking solutions to their problems — as opposed to the professionals who administer and make a living off those systems — what would those systems look like? What would be their features? I can think of at least three:

Fair: …
Fast: …
Fine: …

100-Day Dispute Resolution: New Era ADR is Changing the Game (Rich Lee, CEO)

New Era ADR CEO Rich Lee makes a return appearance to Technically Legal to talk about the company’s cutting-edge platform revolutionizing dispute resolution. Rich first came on the podcast in 2021 right as the company launched. Rich discusses the company’s mission to provide a faster, more efficient, and cost-effective alternative to traditional litigation and arbitration, the company’s growth and what he has learned from a few years in.

Key takeaways:

New Era ADR offers a unique platform for resolving disputes in under 100 days, significantly faster than traditional methods.
The platform leverages technology to streamline processes, reduce costs, and enhance accessibility for all parties involved.
New Era ADR boasts a diverse pool of experienced and qualified neutrals, ensuring fair and impartial resolutions.
The company’s commitment to innovation is evident in its use of data and technology to drive efficiency and transparency.

AI should significantly help with Access to Justice [Sonday] + other AI/legaltech-related items

On 10/22/2024, in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, change, changing business models, emerging technologies, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, new business models, platforms, productivity / tips and tricks, tools, trends, UK, United States, vendors, by Daniel Christian

DC: I’m really hoping that a variety of AI-based tools, technologies, and services will significantly help with our Access to Justice (#A2J) issues here in America. So this article, per Kristen Sonday at Thomson Reuters — caught my eye.

***

AI for Legal Aid: How to empower clients in need — from thomsonreuters.com by Kristen Sonday
In this second part of this series, we look at how AI-driven technologies can empower those legal aid clients who may be most in need

It’s hard to overstate the impact that artificial intelligence (AI) is expected to have on helping low-income individuals achieve better access to justice. And for those legal services organizations (LSOs) that serve on the front lines, too often without sufficient funding, staff, or technology, AI presents perhaps their best opportunity to close the justice gap. With the ability of AI-driven tools to streamline agency operations, minimize administrative work, more effectively reallocate talent, and allow LSOs to more effectively service clients, the implementation of these tools is essential.

Innovative LSOs leading the way

Already many innovative LSOs are taking the lead, utilizing new technology to complete tasks from complex analysis to AI-driven legal research. Here are two compelling examples of how AI is already helping LSOs empower low-income clients in need.

#A2J #justice #tools #vendors #society #legal #lawfirms #AI #legaltech #legalresearch

Criminal charges, even those that are eligible for simple, free expungement, can prevent someone from obtaining housing or employment. This is a simple barrier to overcome if only help is available.
…
AI offers the capacity to provide quick, accurate information to a vast audience, particularly to those in urgent need. AI can also help reduce the burden on our legal staff…

A legal tech executive explains how AI will fully change the way lawyers work — from legaldive.com by Justin Bachman
A senior executive with ContractPodAi discusses how legal AI poses economic benefits for in-house departments and disruption risks for law firm billing models.

Everything you thought you knew about being a lawyer is about to change.

Legal Dive spoke with Podinic about the transformative nature of AI, including the financial risks to lawyers’ billing models and how it will force general counsel and chief legal officers to consider how they’ll use the time AI is expected to free up for the lawyers on their teams when they no longer have to do administrative tasks and low-level work.

Legaltech will augment lawyers’ capabilities but not replace them, says GlobalData — from globaldata.com

Traditionally, law firms have been wary of adopting technologies that could compromise data privacy and legal accuracy; however, attitudes are changing
Despite concerns about technology replacing humans in the legal sector, legaltech is more likely to augment the legal profession than replace it entirely
Generative AI will accelerate digital transformation in the legal sector

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

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

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

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

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

Here are a variety of legaltech related items — showing change in the legal industry

On 10/01/2024, in Access to Justice (A2J), change, Cost of legal services - including access, Google, innovation, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, podcasting, productivity / tips and tricks, tools, UK, United States, vendors, vision/possibilities, by Daniel Christian

I uploaded 200 pages of raw court documents to NotebookLM.

It created a true crime podcast that is better than 90% of what’s out there now…

And ends with the hosts debating the ethics of the genre ? pic.twitter.com/AHJ0fN4yXj

— Olivia Moore (@omooretweets) September 29, 2024

RIP To Human First Pass Document Review? — from abovethelaw.com by Joe Patrice
Using actual humans to perform an initial review isn’t gone yet, but the days are numbered.

Lawyers are still using real, live people to take a first crack at document review, but much like the “I’m not dead yet” guy from Monty Python and the Holy Grail, it’s a job that will be stone dead soon. Because there are a lot of deeply human tasks that AI will struggle to replace, but getting through a first run of documents doesn’t look like one of them.

At last week’s Relativity Fest, the star of the show was obviously Relativity aiR for Review, which the company moved to general availability. In conjunction with the release, Relativity pointed to impressive results the product racked up during the limited availability period including Cimplifi reporting that the product cut review time in half and JND finding a 60 percent cut in costs.

Ernie The Attorney: A Tech Whisperer Shares His Legal Tech Secrets — from legaltalknetwork.com by Ernie Svenson
Guest Ernie “The Attorney” Svenson is dedicated to helping small and solo firms get the most out of today’s tech tools. Work smarter, not harder.

When it comes to efficiencies, automation plays a big role. In a solo or small firm, resources come at a premium. Learn to reduce wasted input through standardized, repeatable operating procedures and automation. (There are even tech products that help you create written standard processes learning from and organizing the work you’re already doing).

Imagine speaking into an app as you “brain dump” and having those thoughts come out organized and notated for later use. Imagine dictating legal work into an app and having AI organize your dictation, even correct it. You don’t need to type everything in today’s tech world. Maximize downtime.

It’s all about training yourself to think “automation first.” Even when a virtual assistant (VA) located in another country can fill gaps in your practice, learn your preferences, match your brand, and help you be your most efficient you without hiring a full-tie employee. Today’s most successful law firms are high-tech hubs. Don’t let fear of the unknown hold you back.

Here’s the Video of Our Legaltech Week Panel Recorded Live Friday at RelativityFest in Chicago — from lawnext.com by Bob Ambrogi

Several of our regular Legaltech Week panelists were in Chicago for RelativityFest last week, so we took the opportunity to get together and broadcast our show live from the same room (instead of Zoom squares).

If you missed it Friday, here’s the video recording.

LexisNexis legal AI adoption report shows sharp increase in use of Gen AI — from legaltechnology.com

Today (24 September) LexisNexis has released a new report – Need for Speedier Legal Services sees AI Adoption Accelerate – which reveals a sharp increase in the number of lawyers using generative AI for legal work.

The survey of 800+ UK legal professionals at firms and in-house teams found 41% are currently using AI for work, up from 11% in July 2023. Lawyers with plans to use AI for legal work in the near future also jumped from 28% to 41%, while those with no plans to adopt AI dropped from 61% to 15%. The survey found that 39% of private practice lawyers now expect to adjust their billing practices due to AI, up from 18% in January 2024.

Robin AI’s James Clough: ‘Don’t Skate To Where The Puck Is’ — from artificiallawyer.com

‘What if legal review cost just $1? What if legal review was 1,000X cheaper than today?’ he muses.

And, one could argue we are getting there already – at least in theory. How much does it actually cost to run a genAI tool, that is hitting the accuracy levels you require, over a relatively mundane contract in order to find top-level information? If token costs drop massively in the years ahead and tech licence costs have been shared out across a major legal business….then what is the cost to the firm per document?

Of course, there is review and there is review. A very deep and thorough review, with lots of redlining, back and forth negotiation, and redrafting by top lawyers is another thing. But, a ‘quick once-over’? It feels like we are already at the ‘pennies on the dollar’ stage for that.

What Is Legal Tech Convergence + Why It Matters — from artificiallawyer.com

In some cases the companies on the convergence path are just getting started and only offer a few additional skills (so far), in other cases, large companies with diverse histories have almost the same multi-skill offering across many areas.

Here are some examples:

Callidus
vLex
Thomson Reuters and LexisNexis
BRYTER
Harvey
Leya
…and others

Helping Neurodiverse Students Learn Through New Classroom Design — from insidehighered.com by Michael Tyre
Michael Tyre offers some insights into how architects and administrators can work together to create better learning environments for everyone.

We emerged with two guiding principles. First, we had learned that certain environments—in particular, those that cause sensory distraction—can more significantly impact neurodivergent users. Therefore, our design should diminish distractions by mitigating, when possible, noise, visual contrast, reflective surfaces and crowds. Second, we understood that we needed a design that gave neurodivergent users the agency of choice.

The importance of those two factors—a dearth of distraction and an abundance of choice—was bolstered in early workshops with the classroom committee and other stakeholders, which occurred at the same time we were conducting our research. Some things didn’t come up in our research but were made quite clear in our conversations with faculty members, students from the neurodivergent community and other stakeholders. That feedback greatly influenced the design of the Young Classroom.

We ended up blending the two concepts. The main academic space utilizes traditional tables and chairs, albeit in a variety of heights and sizes, while the peripheral classroom spaces use an array of less traditional seating and table configurations, similar to the radical approach.

On a somewhat related note, also see:

Unpacking Fingerprint Culture — from marymyatt.substack.com by Mary Myatt

This post summarises a fascinating webinar I had with Rachel Higginson discussing the elements of building belonging in our settings.

We know that belonging is important and one of the ways to make this explicit in our settings is to consider what it takes to cultivate an inclusive environment where each individual feels valued and understood.

Rachel has spent several years working with young people, particularly those on the periphery of education to help them back into mainstream education and participating in class, along with their peers.

Rachel’s work helping young people to integrate back into education resulted in schools requesting support and resources to embed inclusion within their settings. As a result, Finding My Voice has evolved into a broader curriculum development framework.

Georgia Tech Aims to Take Lifetime Learning from Pastime to Pro — from workshift.org by Lilah Burke

As Americans live and work longer, many now find themselves needing to change jobs and careers several times within their lifetimes.

Now, Georgia Institute of Technology has created a new college to serve just these learners. Georgia Tech last week launched its College of Lifetime Learning, which will combine degree programs with non-degree programs, and seeks to educate 114K students by 2030. That would enable the university to double the current number of degrees granted and nondegree students served.

“What we’re hearing is that with the advancing pace of digitization taking place, changing demographics, people working longer, for example, higher ed needs to do something in addition to what it already has been doing” says Nelson Baker, interim dean of the new college.

Also see:

Is the Workplace the New College Campus? — from workshift.org by Joe Edelheit Ross

Now a quarter way through the 21st century, higher education is again in need of a reboot. Post Covid, colleges are closing one per week. More than 40M U.S. learners have started college but never finished. Nearly two-thirds of those learners would complete their degree but can’t afford to. Student debt now sits at almost $2T. Americans are losing faith in higher education.

Enter the apprenticeship degree, where students can earn a debt-free, four-year degree entirely embedded within a full-time, paid job. In the U.K., with government tax incentives, the apprenticeship-to-degree model has surged in eight years from zero to 50K new enrollments, making progress toward an expected 20% of postsecondary starts within the decade. As I have previously written, I believe the apprenticeship degree is just what American higher education needs to meet the moment.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

What an incredible photo of the Milky Way, the Perseid Meteor Shower, and Stonehenge [Josh Dury ca

On 08/16/2024, in art, creativity, digital photography, photography, UK, by Daniel Christian

Bisected by the Milky Way, a Stellar Image Captures the Perseid Meteor Shower Raining Down on Stonehenge — from thisiscolossal.com by Josh Dury

Gemini makes your mobile device a powerful AI assistant — from blog.google
Gemini Live is available today to Advanced subscribers, along with conversational overlay on Android and even more connected apps.

Rolling out today: Gemini Live <– Google swoops in before OpenAI can get their Voice Mode out there
Gemini Live is a mobile conversational experience that lets you have free-flowing conversations with Gemini. Want to brainstorm potential jobs that are well-suited to your skillset or degree? Go Live with Gemini and ask about them. You can even interrupt mid-response to dive deeper on a particular point, or pause a conversation and come back to it later. It’s like having a sidekick in your pocket who you can chat with about new ideas or practice with for an important conversation.

Gemini Live is also available hands-free: You can keep talking with the Gemini app in the background or when your phone is locked, so you can carry on your conversation on the go, just like you might on a regular phone call. Gemini Live begins rolling out today in English to our Gemini Advanced subscribers on Android phones, and in the coming weeks will expand to iOS and more languages.

To make speaking to Gemini feel even more natural, we’re introducing 10 new voices to choose from, so you can pick the tone and style that works best for you.

.

We’re introducing Gemini Live, a more natural way to interact with Gemini. You can now have a free-flowing conversation, and even interrupt or change topics just like you might on a regular phone call. Available to Gemini Advanced subscribers. #MadeByGoogle pic.twitter.com/eNjlNKubsv

— Google (@Google) August 13, 2024

Per the Rundown AI:

Why it matters: Real-time voice is slowly shifting AI from a tool we text/prompt with, to an intelligence that we collaborate, learn, consult, and grow with. As the world’s anticipation for OpenAI’s unreleased products grows, Google has swooped in to steal the spotlight as the first to lead widespread advanced AI voice rollouts.

Beyond Social Media: Schmidt Predicts AI’s Earth-Shaking Impact— from wallstreetpit.com
The next wave of AI is coming, and if Schmidt is correct, it will reshape our world in ways we are only beginning to imagine.

In a recent Q&A session at Stanford, Eric Schmidt, former CEO and Chairman of search giant Google, offered a compelling vision of the near future in artificial intelligence. His predictions, both exciting and sobering, paint a picture of a world on the brink of a technological revolution that could dwarf the impact of social media.

Schmidt highlighted three key advancements that he believes will converge to create this transformative wave: very large context windows, agents, and text-to-action capabilities. These developments, according to Schmidt, are not just incremental improvements but game-changers that could reshape our interaction with technology and the world at large.

.

Eric Schmidt says in the next year, AI models will unite three key pillars: very large context windows, agents and text-to-action, and no-one understands what the impact will be but it will involve everyone having a fleet of AI agents at their command pic.twitter.com/roYSfZGQ5J

— Tsarathustra (@tsarnick) August 13, 2024

The rise of multimodal AI agents— from 11onze.cat
Technology companies are investing large amounts of money in creating new multimodal artificial intelligence models and algorithms that can learn, reason and make decisions autonomously after collecting and analysing data.

The future of multimodal agents
In practical terms, a multimodal AI agent can, for example, analyse a text while processing an image, spoken language, or an audio clip to give a more complete and accurate response, both through voice and text. This opens up new possibilities in various fields: from education and healthcare to e-commerce and customer service.

AI Change Management: 41 Tactics to Use (August 2024)— from flexos.work by Daan van Rossum
Future-proof companies are investing in driving AI adoption, but many don’t know where to start. The experts recommend these 41 tips for AI change management.

As Matt Kropp told me in our interview, BCG has a 10-20-70 rule for AI at work:

10% is the LLM or algorithm
20% is the software layer around it (like ChatGPT)
70% is the human factor

This 70% is exactly why change management is key in driving AI adoption.

But where do you start?

As I coach leaders at companies like Apple, Toyota, Amazon, L’Oréal, and Gartner in our Lead with AI program, I know that’s the question on everyone’s minds.

I don’t believe in gatekeeping this information, so here are 41 principles and tactics I share with our community members looking for winning AI change management principles.

Claude is so good

Prompt:
——–
I am using a video generator
Please give me a map of all the different types of shots and things I can enter for my prompt.

Output
——– pic.twitter.com/JSEo3qwg7v

— Riley Brown (@rileybrown_ai) June 29, 2024

The race to deploy GenAI in the legal sector — from sifted.eu by Kai Nicol-Schwarz
LegalFly’s €15m Series A is the latest in a string of raises for European GenAI legaltech startups

Speak to any lawyer and you’ll soon discover that the job is a far cry from the fevered excitement of a courtroom drama. Behind the scenes, there’s an endless amount of laborious and typically manual tasks like drafting, reviewing and negotiating contracts and other legal documents that have to be done manually daily.

It was this realisation that led four product managers at dating app giant Tinder, frustrated by what they saw as a lack of AI adoption at the company, to jump ship and found Belgium-based LegalFly last year. The startup is building a generative AI copilot for lawyers which eventually, it says, will be able to automate entire workflows in the legal profession.

“We were looking at what GenAI was good at, which is synthesising data and generating content,” says founder and CEO Ruben Miessen. “What industry works like that? Law, and it does it all in a very manual way.”

“The legal industry is a global behemoth that’s seen minimal innovation since the advent of Microsoft Word in the 90s,” says Carina Namih, partner at Plural. “GenAI — especially with a human in the loop to keep accuracy high — is ideally suited to drafting, editing and negotiating legal documents.”

Legal Technology Company Relativity Announces OpenAI ChatGPT Integration — from lawfuel.com

CHICAGO– July 18 – Relativity, a global legal technology company, today announced it is integrating with OpenAI’s ChatGPT Enterprise Compliance API. The integration adds ChatGPT Enterprise as a Collect in RelativityOne data source, allowing users to seamlessly collect and process human-to-AI conversational data.

“The future around human and AI interaction is changing rapidly, calling for innovative legal data management solutions to include novel data sources, such as conversations with AI agents,” said Chris Brown, Chief Product Officer at Relativity. “In answering that call, we are committed to equipping our community with the tools they need to traverse the evolving future of human-to-AI conversational data and putting users in control of this new data landscape.”

Learning Ecosystems

“Leveraging AI to Grow Your Legal Practice” [americanbar.org] + other items re: legaltech

It’s The End Of The Legal Industry As We Know It [Tromans] + other legaltech-related items

“Using AI as an exploratory tool for investigation, interrogation, & intellectual discovery” [Spencer & Potkalitsky] + other items re: AI in our LEs

“The end of courts?” [Furlong] + other legaltech-related items

AI should significantly help with Access to Justice [Sonday] + other AI/legaltech-related items

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

Here are a variety of legaltech related items — showing change in the legal industry

The future of legal services + other items re: legaltech

What an incredible photo of the Milky Way, the Perseid Meteor Shower, and Stonehenge [Josh Dury ca

5+ items regarding AI in general including voice-based interactions with AI moving forward

The race to deploy GenAI in the legal sector [Nicol-Schwarz]

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