7 legaltech trends to watch in 2024 — from lexology.com by Sacha Kirk

Legal technology, or ‘legaltech’, is transforming the legal sector by automating processes and enhancing the provision of legal services. As we approach 2024, several trends within this field are particularly worth keeping an eye on. These not only promise to streamline legal operations but will also help increase the in-house legal department’s visibility and value to the organisation.

Here are seven legaltech trends poised to make an impact in the coming year.

1. Artificial intelligence and machine learning
AI and machine learning remain pivotal in legaltech, especially for in-house lawyers who deal with vast quantities of contracts and complex legal matters. In 2024, these technologies will be integral for legal research, contract review, and the drafting of legal documents. Statistics from the Tech & the Law 2023 Report state more than three in five corporate legal departments (61%) have adopted generative AI in some capacity, with 7% actively using generative AI in their day-to-day work. With constant improvements to LLM (Large Language Models) by the big players, i.e. OpenAI, Google, and Microsoft (via OpenAI), 2024 will see more opportunities open and efficiencies gained for legal teams.


Our top 5 legal technology trends predicted for 2024 — from legalfutures.co.uk

5. ID verification software
With identity fraud on the increase there is a growing demand from the Government for people to be identified with accuracy and they are proposing to pass legislation in February 2024 that will tighten the requirements for the professional organisations involved.  They will promote the use of technology to reduce the risk of fraudulent transactions including mortgage fraud where according to Experian’s Report “the greatest jump in fraud cases has been seen …. with fraud increasing from around 41 cases to around 52 cases per 10,000 applications.”


Guest Post: The Year in Justice Tech: 2023 Report and News Roundup — from lawnext.com by Maya Markovich, executive director of the Justice Technology Association

In 2023, the justice tech ecosystem continued to grow rapidly, with a significant increase in solutions addressing access to justice-related challenges for consumers. Justice tech caught the interest of both impact investors, as well as those seeking opportunities to fund the disruption of antiquated systems via technology.


Consulting Giants See AI Shaving Years Off the Path to Partner — from bloomberg.com by Irina Anghel

  • To make it to partner level typically takes at least a decade
  • AI seen freeing up junior staffers to do more meaningful work

Consulting giants and law firms are looking to artificial intelligence to speed up the time it takes junior staffers to make it to the prestigious partner level as the technology eliminates vast swaths of the repetitive, time-consuming tasks that typically filled up their first few years on the job.


Stock Up 10% in December; Unveils Groundbreaking Initiatives — from in.investing.com by Aayush Khanna (India)

Excerpt from DSC — and I’m not out to give legal or investing advice. I just really appreciated the list of legaltech-related innovations:

In the LegalTech realm, QiLegal emerges as a robust cloud-based platform, aiming to digitize the legal framework. Envisaged to propel the justice system with Virtual Courts, Online Dispute Resolution, and AI-enabled Drafting, QiLegal responds to the estimated USD 100 billion global LegalTech market.


The essential role of creator and customer collaboration in legal tech — from legaldive.com by Relativity (sponsored content; emphasis below from DSC)

However, with these high stakes and wide margins for error in hand, the accuracy, defensibility, and reliability of that AI is subject to intense professional and judicial scrutiny. And for good reason: anything less than the thoughtful, intentional development of specifically fit-for-purpose AI applications in this realm can contribute to the loss of millions of dollars, the livelihoods of countless individuals, and deeply damaging miscarriages of justice.


Generative AI and the small law firm: The value of legal domain expertise — from thomsonreuters.com by Mark Haddad
In our new blog series, we continue to discuss how small law firms can leverage their natural advantages with generative artificial intelligence to compete at a higher level

Gen AI presents unprecedented opportunities for small law firms to compete.

The idea that legal Gen AI means turning over legal decision-making to a machine overlooks the importance of the data portion of the Venn diagram above. A properly trained and targeted Gen AI application for legal use will build on the work of lawyers in the form of cases, statutes, briefs and memoranda, how-to guides, contracts, client advisories, templates — all the esoteric and robust data that results from lawyers’ expertise and knowledge.

All law firms, even smaller ones, have an opportunity to leverage their own data assets against competitors at scale once their lawyers identify and curate the appropriate critical data sets from within their firm and embed them within the AI solution. This proprietary data can be combined with larger pools of data from authoritative external sources like trusted legal content sources to further strengthen the responses that the Gen AI tool provides.


AAA® Launches New AAAi Lab Offering Products, Education, Guidance & News Resources — from prnewswire.com by American Arbitration Assocation
Latest Technology Innovation Seeks to Support AAA Users, Arbitrators & Broader Legal Community with Incorporating Generative AI into ADR Processes

NEW YORKDec. 6, 2023 /PRNewswire/ — The American Arbitration Association® (AAA) and its international division, the International Centre for Dispute Resolution® (ICDR®), announces the launch of the AAAi Lab, a web center supporting AAA users, arbitrators, in-house counsel and law firms with policy guidance, educational webinars and tools for embracing generative AI in alternative dispute resolution.


ANALYSIS: Most M&A Attorneys Would Use AI for Due Diligence — from news.bloomberglaw.com by Abena Opong-Fosu

Artificial intelligence (AI) has infiltrated almost every facet of daily life. For M&A lawyers, exposure to AI and machine learning tools likely comes from deals involving the buying and selling of AI companies as well as through the software the lawyers use on a daily basis.

Most deal lawyers who responded to a recent Bloomberg Law survey said that they’re open to using AI at some point in dealmaking.

 

 

More Chief Online Learning Officers Step Up to Senior Leadership Roles 
In 2024, I think we will see more Chief Online Learning Officers (COLOs) take on more significant roles and projects at institutions.

In recent years, we have seen many COLOs accept provost positions. The typical provost career path that runs up through the faculty ranks does not adequately prepare leaders for the digital transformation occurring in postsecondary education.

As we’ve seen with the professionalization of the COLO role, in general, these same leaders proved to be incredibly valuable during the pandemic due to their unique skills: part academic, part entrepreneur, part technologist, COLOs are unique in higher education. They sit at the epicenter of teaching, learning, technology, and sustainability. As institutions are evolving, look for more online and professional continuing leaders to take on more senior roles on campuses.

Julie Uranis, Senior Vice President, Online and Strategic Initiatives, UPCEA

 

Learning and employment record use cases -- from the National Governors Association

LERs Are Hot. What Are States Going To Do With Them?

Governors and state leaders are concerned about the current labor shortage, occurring during a time when many skilled workers are underemployed or even unemployed. Skills-based approaches to hiring and recruiting can shift that dynamic—making pathways to good careers accessible to a wider segment of the workforce and opening up new pools of talent for employers. They do so by focusing on what workers know and can do, not on the degrees or credentials they’ve earned.

That’s the theory. But a lot hinges on how things actually play out on the ground.

Technology will play a key role, and many states have zeroed in on learning and employment records—essentially digital resumes with verified records of people’s skills, educational experiences, and work histories—as an essential tool. A lot of important work is going into the technical design and specifications.

This project, on the other hand, aims to take a step back and look at the current state of play when it comes to the use cases for LERs. Just a few of the key questions:

  • How might employers, education providers, government agencies, and workers themselves actually use them? Will they?
  • In what areas do state policymakers have the most influence over key stakeholders and the most responsibility to invest?
  • What actions are needed now to ensure that LERs, and skills-based hiring more broadly, actually widen access to good jobs—rather than setting up a parallel system that perpetuates many of today’s inequities?
 

34 Big Ideas that will change our world in 2024 — from linkedin.com

34 Big Ideas that will change our world in 2024 -- from linkedin.com 

Excerpts:

6. ChatGPT’s hype will fade, as a new generation of tailor-made bots rises up
11. We’ll finally turn the corner on teacher pay in 2024
21. Employers will combat job applicants’ use of AI with…more AI
31. Universities will view the creator economy as a viable career path

 

Exploring blockchain’s potential impact on the education sector — from e27.co by Moch Akbar Azzihad M
By the year 2024, the application of blockchain technology is anticipated to have a substantial influence on the education sector

Areas mentioned include:

  • Credentials that are both secure and able to be verified
  • Records of accomplishments that are not hidden
  • Enrollment process that is both streamlined and automated
  • Storage of information that is both secure and decentralised
  • Financing and decentralised operations
 

Can new AI help to level up the scales of justice? — from gtlaw.com.au by Peter Waters, Jason Oliver, and David Baddeley

So asks a recent study by two academics from Stanford Law School, David Freeman Engstrom and Nora Freeman Engstrom, on the potential impact of AI on the civil litigation landscape in the US.

It is against this landscape, the study observes, that champions of legal tech have suggested that there is an opportunity for legal tech to “democratise” litigation and put litigation’s “haves” and “have nots” on a more equal footing, by arming smaller firms and sole practitioners with the tools necessary to do battle against their better resourced opponents, and cutting the cost of legal services, putting lawyers within reach of a wider swathe of people.

But is this a real opportunity, and will AI be key to its realisation?

However, while AI may reduce the justice gap between the “haves” and “have-nots” of litigation, it could also exacerbate existing inequalities.

From DSC:
While this article approaches things from the lawyer’s viewpoint, I’d like to see this question and the use of AI from the common man’s/woman’s viewpoint. Why? In order to provide FAR GREATER access to justice (#A2J) for those who can’t afford a lawyer as they head into the civil law courtrooms.

  • Should I take my case to court? Do I have a chance to win this case? If so, how?
  • What forms do I need to complete if I’m going to go to court?
  • When and how do I address the judge?
  • What does my landlord have to do?
  • How do I prevent myself from falling into a debt-collection mess and/or what options do I have to get out of this mess?
  • Are there any lawyers in my area who would take my case on a pro bono basis?
  • …and judges and lawyers — as well as former litigants — could add many more questions (and answers) to this list

Bottom line:
It is my hope that technology can help increase access to justice.


Also relevant/see:

Virtual Justice? Exploring AI’s impact on legal accessibility — from nortonrosefulbright.com by Chris Owen and Mary-Frances Murphy

Excerpt (emphasis DSC):

A number of products are already under development, or have been launched. One example is a project that Norton Rose Fulbright is working on, together with not-for-profit legal service Justice Connect. The scope is to develop an automated natural language processing AI model that seeks to interpret the ‘everyday’ language used by clients in order to identify the client’s legal issues and correctly diagnose their legal problem. This tool is aimed at addressing the struggles that individuals often face in deciphering legal jargon and understanding the nature of their legal issue and the type of lawyer, or legal support, they need to resolve that problem.

 

Instructional Designers as Institutional Change Agents — from er.educause.edu/ by Aaron Bond, Barb Lockee and Samantha Blevins

Systems thinking and change strategies can be used to improve the overall functioning of a system. Because instructional designers typically use systems thinking to facilitate behavioral changes and improve institutional performance, they are uniquely positioned to be change agents at higher education institutions.

In higher education, instructional designers are often seen as “change agents” because they help to facilitate behavioral changes and improve performance at their institutions. Due to their unique position of influence among higher education leaders and faculty and their use of systems thinking, instructional designers can help bridge institutional priorities and the specific needs of various stakeholders. COVID-19 and the switch to emergency remote teaching raised awareness of the critical services instructional designers provide, including preparing faculty to teach—and students to learn—in well-designed learning environments. Today, higher education institutions increasingly rely on the experience and expertise of instructional designers.

Figure 1. How Instructional Designers Employ Systems Thinking
.

 

Thomson Reuters’ AI debut signals a new era of widespread AI integration in legaltech — from nydailyrecord.com by Nicole Black

It shouldn’t surprise you to learn that legal technology companies have joined the fray. Since early 2023, over one hundred announcements from legal technology companies have emerged, detailing plans to incorporate generative AI functionality into their products. Although most products are stillfirm;eta, rest assured that regardless of the software platforms used in your firm, you can expect that generative AI will soon be seamlessly integrated into the tools that are part of the daily workflows of legal professionals in your firm.

Proof in point: Wednesday’s generative AI announcements from Thomson Reuters offer strong evidence that we’re entering a new era of widespread AI integration. For Thomson Reuter’s legal customers, the integrated generative AI experience will soon be a reality and readily accessible across several different products. This newfound capability largely stems from leveraging CoCounsel, a generative AI legal assistant tool acquired by Thomson Reuters as part of the acquisition of Casetext for $650 million, which was completed in August.

Ironcrow AI’s LLM Sandbox: Setting an Industry Standard — from mccrus.com by McCoy Russell; with thanks to Mr. Justin Wagner out on LinkedIn for this resource

As an innovative firm, McCoy Russell has been at the forefront of patent law with its development and use of proprietary AI software via its software arm Ironcrow AI. Recently, Ironcrow has invested substantial efforts to create a specialized AI LLM Sandbox as a key tool for patent professionals.

Ironcrow is excited to announce a groundbreaking achievement in the field of AI/ML for Patent Law professionals – Ironcrow’s specialized AI LLM Sandbox has achieved a score above the 70% threshold required to pass the patent bar exam, using a test set of questions. While other researchers have developed tools to pass a state bar exam, none have attempted to pass the specialized patent bar exam administered by the USPTO.

This remarkable feat showcases the innovation by the Ironcrow and McCoy Russell partnership and the ability of the LLM Sandbox’s “Interrogate” feature to answer questions based on the knowledge of the patent procedure. The Sandbox can provide well-cited answers along with relevant excerpts from the MPEP, etc., to its users. This unique feature sets Ironcrow AI’s LLM Sandbox apart from other systems in the market.

 

 



Don’t Believe the Hype? Practical Thoughts About Using AI in Legal (Stephen Embry – TechLaw Crossroads) — from tlpodcast.com by Stephen Embry

Despite the hype and big promises about AI, if it is used correctly, could it be the differentiator that sets good legal professionals apart from the pack? Stephen Embry offers a good argument for this in the latest episode.

Stephen is a long-time attorney and the legal tech aficionado behind the TechLaw Crossroads blog– a great resource for practical and real-world insight about legal tech and how technology is impacting the practice of law. Embry emphasizes that good lawyers will embrace artificial intelligence to increase efficiency and serve their clients better, leaving more time for strategic thinking and advisory roles.

 

AI Pedagogy Project, metaLAB (at) Harvard
Creative and critical engagement with AI in education. A collection of assignments and materials inspired by the humanities, for educators curious about how AI affects their students and their syllabi

AI Guide
Focused on the essentials and written to be accessible to a newcomer, this interactive guide will give you the background you need to feel more confident with engaging conversations about AI in your classroom.


From #47 of SAIL: Sensemaking AI Learning — by George Siemens

Excerpt (emphasis DSC):

Welcome to Sensemaking, AI, and Learning (SAIL), a regular look at how AI is impacting education and learning.

Over the last year, after dozens of conferences, many webinars, panels, workshops, and many (many) conversations with colleagues, it’s starting to feel like higher education, as a system, is in an AI groundhog’s day loop. I haven’t heard anything novel generated by universities. We have a chatbot! Soon it will be a tutor! We have a generative AI faculty council! Here’s our list of links to sites that also have lists! We need AI literacy! My mantra over the last while has been that higher education leadership is failing us on AI in a more dramatic way than it failed us on digitization and online learning. What will your universities be buying from AI vendors in five years because they failed to develop a strategic vision and capabilities today?


AI + the Education System — from drphilippahardman.substack.com Dr. Philippa Hardman
The key to relevance, value & excellence?


The magic school of the future is one that helps students learn to work together and care for each other — from stefanbauschard.substack.com by Stefan Bauschard
AI is going to alter economic and professional structures. Will we alter the educational structures?

(e) What is really required is a significant re-organization of schooling and curriculum. At a meta-level, the school system is focused on developing the type of intelligence I opened with, and the economic value of that is going to rapidly decline.

(f). This is all going to happen very quickly (faster than any previous change in history), and many people aren’t paying attention.  AI is already here.


 

Where a developing, new kind of learning ecosystem is likely headed [Christian]

From DSC:
As I’ve long stated on the Learning from the Living [Class]Room vision, we are heading toward a new AI-empowered learning platform — where humans play a critically important role in making this new learning ecosystem work.

Along these lines, I ran into this site out on X/Twitter. We’ll see how this unfolds, but it will be an interesting space to watch.

Project Chiron's vision: Our vision for education Every child will soon have a super-intelligent AI teacher by their side. We want to make sure they instill a love of learning in children.


From DSC:
This future learning platform will also focus on developing skills and competencies. Along those lines, see:

Scale for Skills-First — from the-job.beehiiv.com by Paul Fain
An ed-tech giant’s ambitious moves into digital credentialing and learner records.

A Digital Canvas for Skills
Instructure was a player in the skills and credentials space before its recent acquisition of Parchment, a digital transcript company. But that $800M move made many observers wonder if Instructure can develop digital records of skills that learners, colleges, and employers might actually use broadly.

Ultimately, he says, the CLR approach will allow students to bring these various learning types into a coherent format for employers.

Instructure seeks a leadership role in working with other organizations to establish common standards for credentials and learner records, to help create consistency. The company collaborates closely with 1EdTech. And last month it helped launch the 1EdTech TrustEd Microcredential Coalition, which aims to increase quality and trust in digital credentials.

Paul also links to 1EDTECH’s page regarding the Comprehensive Learning Record

 

The new apprenticeships — from jordanfurlong.substack.com by Jordan Furlong
Several American states are rewriting the rules of lawyer licensure and bringing the US into line with a key element of lawyer formation worldwide: supervised practice.

Change comes so gradually and fitfully to the legal sector that when something truly revolutionary happens — an actual turning point with an identifiable real-world impact — we have to mark the occasion. One such revolution broke out in the United States last week, opening up fantastic new possibilities for Americans who want to become lawyers.

The Oregon Supreme Court approved a new licensure program that does not require passage of a traditional written bar exam. After graduating from law school, aspiring Oregon lawyers can complete 675 hours of paid legal work under the supervision of an experienced attorney, assembling a portfolio of legal work to be assessed by bar admission officials. Candidates must submit eight samples of legal writing, take the lead in at least two initial client interviews or client counseling sessions, and oversee two negotiations, among other requirements.

Jordan mentions what’s going on in several other states including:

  • Utah
  • Washington
  • Minnesota
  • Nevada
  • California
  • Massachusetts
  • South Dakota

From DSC:
The Bar Exam doesn’t have a good reputation for actually helping get someone ready to practice law. So this is huge news indeed! The U.S. needs more people/specialists at the legal table moving forward. The items Jordan relays in this posting are a huge step forward in making that a reality.


For other innovations within the legal realm, see:

LawSchoolAi — from youtube.com

Picture this: A world where anyone can unlock the doors to legal expertise, no matter their background or resources. Introducing Law School AI – the game-changing platform turning this vision into reality. Our mission? To make legal education accessible, affordable, and tailored to every learner’s unique style, by leveraging the power of artificial intelligence.

As a trailblazing edtech company, Law School AI fuses cutting-edge AI technology with modern pedagogical techniques to craft a personalized, immersive, and transformative learning experience. Our platform shatters boundaries, opening up equal opportunities for individuals from all walks of life to master the intricacies of law.

Embrace a new era of legal education with Law School AI, where the age-old law school experience is reimagined as a thrilling, engaging, and interactive odyssey. Welcome to the future of legal learning.

 

 

 

The Beatles’ final song is now streaming thanks to AI — from theverge.com by Chris Welch
Machine learning helped Paul McCartney and Ringo Starr turn an old John Lennon demo into what’s likely the band’s last collaborative effort.


Scientists excited by AI tool that grades severity of rare cancer — from bbc.com by Fergus Walsh

Artificial intelligence is nearly twice as good at grading the aggressiveness of a rare form of cancer from scans as the current method, a study suggests.

By recognising details invisible to the naked eye, AI was 82% accurate, compared with 44% for lab analysis.

Researchers from the Royal Marsden Hospital and Institute of Cancer Research say it could improve treatment and benefit thousands every year.

They are also excited by its potential for spotting other cancers early.


Microsoft unveils ‘LeMa’: A revolutionary AI learning method mirroring human problem solving — from venturebeat.com by Michael Nuñez

Researchers from Microsoft Research Asia, Peking University, and Xi’an Jiaotong University have developed a new technique to improve large language models’ (LLMs) ability to solve math problems by having them learn from their mistakes, akin to how humans learn.

The researchers have revealed a pioneering strategy, Learning from Mistakes (LeMa), which trains AI to correct its own mistakes, leading to enhanced reasoning abilities, according to a research paper published this week.

Also from Michael Nuñez at venturebeat.com, see:


GPTs for all, AzeemBot; conspiracy theorist AI; big tech vs. academia; reviving organs ++448 — from exponentialviewco by Azeem Azhar and Chantal Smith


Personalized A.I. Agents Are Here. Is the World Ready for Them? — from ytimes.com by Kevin Roose (behind a paywall)

You could think of the recent history of A.I. chatbots as having two distinct phases.

The first, which kicked off last year with the release of ChatGPT and continues to this day, consists mainly of chatbots capable of talking about things. Greek mythology, vegan recipes, Python scripts — you name the topic and ChatGPT and its ilk can generate some convincing (if occasionally generic or inaccurate) text about it.

That ability is impressive, and frequently useful, but it is really just a prelude to the second phase: artificial intelligence that can actually do things. Very soon, tech companies tell us, A.I. “agents” will be able to send emails and schedule meetings for us, book restaurant reservations and plane tickets, and handle complex tasks like “negotiate a raise with my boss” or “buy Christmas presents for all my family members.”


From DSC:
Very cool!


Nvidia Stock Jumps After Unveiling of Next Major AI Chip. It’s Bad News for Rivals. — from barrons.com

On Monday, Nvidia (ticker: NVDA) announced its new H200 Tensor Core GPU. The chip incorporates 141 gigabytes of memory and offers up to 60% to 90% performance improvements versus its current H100 model when used for inference, or generating answers from popular AI models.

From DSC:
The exponential curve seems to be continuing — 60% to 90% performance improvements is a huge boost in performance.

Also relevant/see:


The 5 Best GPTs for Work — from the AI Exchange

Custom GPTs are exploding, and we wanted to highlight our top 5 that we’ve seen so far:

 

How ChatGPT changed my approach to learning — from wondertools.substack.com Jeremy Caplan and Frank Andrade
A guest contributor tutored himself with AI

Excerpt:

Frank: ChatGPT has changed how I learn and practice new things every day.

  • I use ChatGPT not only to fix my mistakes, but also to learn from them.
  • I use ChatGPT Voice to explore new topics, simulate job interviews, and practice foreign languages.
  • You can even use ChatGPT Vision to learn from images!

Here’s how to use AI to enhance your learning.

 


The legal world in 10 years (if we’re really lucky) — from jordanfurlong.substack.com by Jordan Furlong
Here are eight predictions for how the legal sector will be different and mostly better in 2033. If you have an alternative vision, there’s one sure way to prove me wrong.

What part are you going to play in determining the future? This isn’t a spectator sport or a video game. “The future” will be what you (and everyone else) make it by your decisions, commitments, sacrifices, and leadership — or, equally, by your inaction on all these fronts.

There’s a meme making the rounds that says, “People in time-travel movies are always afraid of committing one tiny action in the past, because it might completely change the present. But people in the present don’t seem to believe that committing one tiny action in the present could completely change the future.” I think that has it exactly right. The future we get is the future that you and I start making in the present, meaning today, right now.


Shadow AI: A Thorny Problem For Law Firms — from abovethelaw.com by Sharon D. Nelson, John W. Simek, and Michael C. Maschke
Its use is often unknown to a law firm’s IT or security group.


 
© 2022 | Daniel Christian