Fresh Voices on Legal Tech with Natalie Knowlton — from legaltalknetwork.com by Dennis Kennedy and Tom Mighell

EPISODE NOTES

Technology has become the main driver for increasing access to justice, and there are huge opportunities for legal service providers to leverage both existing and emerging tech to reach new clients. Dennis and Tom welcome Natalie Knowlton to discuss the current state of legal services, the justice gap, and ways technology is helping attorneys provide better and more affordable services to consumers. As always, stay tuned for the parting shots, that one tip, website, or observation that you can use the second the podcast ends.

New report on ChatGPT & generative AI in law firms shows opportunities abound, even as concerns persist — from thomsonreuters.com; via Brainyacts #43

Excerpt:

The survey, conducted in late-March by the Thomson Reuters Institute, gathered insight from more than 440 respondent lawyers at large and midsize law firms in the United States, United Kingdom, and Canada. The survey forms the basis of a new report, ChatGPT & Generative AI within Law Firms, which takes a deep look at the evolving attitudes towards generative AI and ChatGPT within law firms, measuring awareness and adoption of the technology as well as lawyers’ views on its potential risks.

The report also reveals several key findings that deserve special attention from law firm leaders and other legal professionals as ChatGPT and generative AI evolve from concept to reality for the vast majority of the legal industry participants. These findings include:

    • Attitudes are evolving around this technology
    • Firms are taking a cautiously proactive approach
    • There’s a growing awareness of the risks

‘Legal Tech Lists’: 5 Lawyer Tropes That Were Upended By Legal Tech — from abovethelaw.com by Jared Correia
These common fictitious scenarios would be solved by technology.

Excerpt:

There are lots of tropes related to lawyers and law firms that frequently show up in works of fiction.  The thing is, those tropes are tropes because they’re sort of old; they’ve been around for a long time. Now, however, modern technology can solve a heck of a lot of those issues. So, for this edition of the “Reference Manual of Lists,” we’re going to relay a trope, offer an example, and talk about how legal tech actually fixes the problem today.

The Future of Generative Large Language Models and Potential Applications in LegalTech — from jdsupra.com by Johannes Scholtes and Geoffrey Vance

Excerpt:

If you made it this far, you should by now understand that ChatGPT is not by itself a search engine, nor an eDiscovery data reviewer, a translator, knowledge base, or tool for legal analytics. But it can contribute to these functionalities.

In-person vs. virtual ADR — How to choose? — from reuters.com by Eric Larson

Excerpt:

April 20, 2023 – Alternative dispute resolution (ADR), a common technique parties can use to settle disputes with the help of a third party, offers several unique benefits over traditional litigation. It is typically more cost-effective, confidential and generally a preferred method to resolving disputes. As a result, counsel and their clients often view ADR as a no-brainer. But the once simple decision to engage in ADR is now complicated by whether to proceed in-person, virtually or with a hybrid approach.

ChatGPT: A Lawyer’s Friend or Ethical Time Bomb? A Look at Professional Responsibility in the Age of AI — from jdsupra.com by Mitchell, Williams, Selig, Gates, & Woodyard

Excerpt:

The emergence of ChatGPT comes with tremendous promise of increased automation and efficiency. But at what cost? In this blog post, we’ll explore the potential ethical time bomb of using ChatGPT and examine the responsibility of lawyers in the age of AI.

 

 

The 2023 Global Sentiment Survey — from donaldhtaylor.co.uk by Don Taylor

Excerpt:

This year’s Global Sentiment Survey – the tenth – paints a picture that is both familiar and unusual. In our 2020 survey report, we noted that ‘Data dominates this year’s survey’. It does so again this year, with the near 4,000 respondents showing a strong interest in AI, Skills-based talent management and Learning analytics (in positions #2, #3 and #4), all of which rely on data. The table is topped by Reskilling/upskilling, in the #1 spot for the third year running.
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Donald Taylor's GSS 2023

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Also see Don’s report here >>

 

 
 

AI and art: how recent court cases are stretching copyright principles — from theartnewspaper.com by Hetty Gleave and Eddie Powell
Two specialists from a leading London law firm analyse the issues raised in recent lawsuits relating to the use of artwork images by tech companies in order to “train” their artificial intelligence tools

Excerpt:

The tension between the opportunities presented by new technology and the need for artists to be able to control the use of their own works and derive revenue from them is all too familiar. Inevitably, cases and/or legislation will draw an artificial line between what is fair and what is not.

Getty Images is suing Stability in both the USA and the UK for the alleged use of millions of pictures from Getty’s library to train Stable Diffusion. In the USA, Getty is reportedly claiming damages of $2 trillion!

 
 

VR & robotics could be the future of medical training — from vrscout.com by Kyle Melnick
FundamentalVR is partnering with Haply Robotics to provide more realistic VR surgical simulations.

VR & Robotics Could Be The Future Of Medical Training

Also relevant/see:

 

How can we teach and assess with ChatGPT? — from timeshighereducation.com by Soumyadeb Chowdhury and Samuel Fosso Wamba
A guide to designing teaching and assessments that encourage students to learn with and about ChatGPT

Excerpts:

  1. Design activities that require reflection:
  2. Link essay-type assignments to novel case studies:
  3. Ask for more in essay assessments:
  4. Discuss openly the importance of human skills in their future careers:

Also relevant/see:

  • ChatGPT can generate, but can it create? — from ecampusnews.com Dr. Lee Ann Dickerson; with thanks to Ray Schroeder for posting this resource on LinkedIn
    The AI chatbot is taking many of us in education by surprise and startling more of us to attention

Also relevant/see:


Also relevant/see:

AI in the Classroom, Teachers as Learners, Denver-bound, and more — from ed3.beehiiv.com by Scott Meyer
The most exciting ideas in education, hand-picked for you

 

A Spotify model of personalised higher education — from timeshighereducation.com by Michael Rosemann and Martin Betts
With technology offering greater potential for a personalised approach to higher education, Michael Rosemann and Martin Betts look at what universities can learn from the ubiquitous music platform Spotify

Excerpts (emphasis DSC):

Selection, or the P(upil)-route as educationalist Dan Buckley calls it, means personalisation driven by the learner. This is the fastest-moving form of personalised learning. Not only do students benefit from true omnichannel education – choosing between face to face and online – they also independently navigate the internet’s resources and online databases in search of the knowledge that will help them to achieve their learning targets.

Automation,  or the A-route, is the new enabler of personalised learning. As with personalised medicine, finance or entertainment, education is starting to use digital technologies to unlock new models of tailored engagement. While for most universities, AI-driven, personalised education is not an option as the required capabilities are missing and significant investments would be necessary, there is a range of alternative forms of automated personalised learning. For this, we look to providers outside the sector for inspiration.

Here are Spotify-inspired ideas that universities ambitious enough to provide personalised learning could explore.

From DSC:
Rosemann & Betts use the term “omnichannel education” — I like that term. Very nice.

 

Legal Prompt Engineering – Examples and Tips — from law.mit.edu by Dazza Greenwood and Damien Riehl
Walk through and discussion of Legal Prompt Engineering examples, showing ways to compose inputs to generative AI systems like ChatGPT and Claude to get improved outputs for law and legal processes

 


 


PwC announces strategic alliance with Harvey, positioning PwC’s Legal Business Solutions at the forefront of legal generative AI — from pwc.com

Excerpt:

LONDON, 15 March 2023 – Today, PwC announced a global partnership with artificial intelligence (AI) startup Harvey, providing PwC’s Legal Business Solutions professionals exclusive access (among the Big 4) to the game-changing AI platform.

Harvey, which is backed by the OpenAI Startup Fund, is built on OpenAi and Chat GPT technology. It is a platform that uses natural language processing, machine learning and data analytics to automate and enhance various aspects of legal work. Harvey will help generate insights and recommendations based on large volumes of data, delivering richer information that will enable PwC professionals to identify solutions faster. All outputs will be overseen and reviewed by PwC professionals.

The strategic alliance builds on PwC’s ability to bring human-led and tech-enabled solutions to clients, delivering on its global strategy, The New Equation.

 


The Robot Lawyer Resistance — from a16z Podcast by Andreessen Horowitz

Description of podcast:

Should AI belong in the courtroom? Joshua Browder ventured to run an experiment where a robot lawyer would defend a court case. Looking to up the ante, he even offered $1m for a Supreme Court hearing! His experiment was met with a threat of 6 months jail time. Listen in for the full story.


Also somewhat related, see:

What’s New in Legal Technology? ABA TECHSHOW 2023 — from attorneyatwork.com by Joan Feldman
ABA TECHSHOW has been the place to learn what’s new in legal technology for more than 35 years. Last week in Chicago, we scoped out the ABA TECHSHOW 2023 exposition hall. Here are a few of the highlights.

 

ChatGPT as a teaching tool, not a cheating tool — from timeshighereducation.com by Jennifer Rose
How to use ChatGPT as a tool to spur students’ inner feedback and thus aid their learning and skills development

Excerpt:

Use ChatGPT to spur student’s inner feedback
One way that ChatGPT answers can be used in class is by asking students to compare what they have written with a ChatGPT answer. This draws on David Nicol’s work on making inner feedback explicit and using comparative judgement. His work demonstrates that in writing down answers to comparative questions students can produce high-quality feedback for themselves which is instant and actionable. Applying this to a ChatGPT answer, the following questions could be used:

  • Which is better, the ChatGPT response or yours? Why?
  • What two points can you learn from the ChatGPT response that will help you improve your work?
  • What can you add from your answer to improve the ChatGPT answer?
  • How could the assignment question set be improved to allow the student to demonstrate higher-order skills such as critical thinking?
  • How can you use what you have learned to stay ahead of AI and produce higher-quality work than ChatGPT?
 

Fostering sustainable learning ecosystems — from linkedin.com by Patrick Blessinger

Excerpt (emphasis DSC):

Learning ecosystems
As today’s global knowledge society becomes increasingly interconnected and begins to morph into a global learning society, it is likely that formal, nonformal, and informal learning will become increasingly interconnected. For instance, there has been an explosion of new self-directed e-learning platforms such as Khan Academy, Open Courseware, and YouTube, among others, that help educate billions of people around the world.

A learning ecosystem includes all the elements that contribute to a learner’s overall learning experience. The components of a learning ecosystem are numerous, including people, technology platforms, knowledge bases, culture, governance, strategy, and other internal and external elements that have an impact on learning. Therefore, moving forward, it is crucial to integrate learning across formal, nonformal, and informal learning processes and activities in a more strategic way.

Learning ecosystems -- formal, informal, and nonformal sources of learning will become more tightly integrated in the future

 

These 20 jobs are the most “exposed” to AI, ChatGPT, researchers say — from cbsnews-com.cdn.ampproject.org

Excerpt:

New research examining the effects of language modeling AI like ChatGPT on different occupations and industries finds that certain jobs, like telemarketers and teachers, are more “exposed” to the technology than others, such as psychologists and counselors.

Also relevant/see:

Must read: the 100 most cited AI papers in 2022  — from zeta-alpha.com by Sergi Castella i Sapé; with titles, citation counts, and affiliations.

How will Language Modelers like ChatGPT Affect Occupations and Industries? — from papers.ssrn.com by Edward W. Felten, Manav Raj, and  Robert Seamans

 

‘ChatGPT Already Outperforms a lot of Junior Lawyers’: An Interview With Richard Susskind — from law.com by Laura Beveridge
For the last 20 years, the U.K. author and academic has been predicting that technology will revolutionise the legal industry. With the buzz around generative AI, will his hypothesis now be proven true?

Excerpts:

For this generation of lawyers, their mission and legacy ought to be to build the systems that replace our old ways of working, he said. Moreover, Susskind identified new work for lawyers, such as legal process analyst or legal data scientist, emerging from technological advancement.

“These are the people who will be building the systems that will be solving people’s legal problems in the future.

“The question I ask is: imagine when the underpinning large language model is GPT 8.5.”

Blue J Legal co-founder Benjamin Alarie on how AI is powering a new generation of legal tech — from canadianlawyermag.com by Tim Wilbur

Excerpts:

We founded Blue J with the idea that we should be able to bring absolute clarity to the law everywhere and on demand. The name that we give to this idea is the legal singularity. I have a book with assistant professor Abdi Aidid called The Legal Singularity coming out soon on this idea.

The book paints the picture of where we think the law will go in the next several decades. Our intuition was not widely shared when we started the book and Blue J.

Since last November, though, many lawyers and journalists have been able to play with ChatGPT and other large language models. They suddenly understand what we have been excited about for the last eight years.

Neat Trick/Tip to Add To Your Bag! — from iltanet.org by Brian Balistreri

Excerpt:

If you need instant transcription of a Audio File, Word Online now allows you to upload a file, and it will transcribe, mark speaker changes, and provide time marks. You can use video files, just make sure they are small or office will kick you out.

Generative AI Is Coming For the Lawyers — from wired.com by Chris Stoken-Walker
Large law firms are using a tool made by OpenAI to research and write legal documents. What could go wrong?

Excerpts:

The rise of AI and its potential to disrupt the legal industry has been forecast multiple times before. But the rise of the latest wave of generative AI tools, with ChatGPT at its forefront, has those within the industry more convinced than ever.

“I think it is the beginning of a paradigm shift,” says Wakeling. “I think this technology is very suitable for the legal industry.”

The technology, which uses large datasets to learn to generate pictures or text that appear natural, could be a good fit for the legal industry, which relies heavily on standardized documents and precedents.

“Legal applications such as contract, conveyancing, or license generation are actually a relatively safe area in which to employ ChatGPT and its cousins,” says Lilian Edwards, professor of law, innovation, and society at Newcastle University. “Automated legal document generation has been a growth area for decades, even in rule-based tech days, because law firms can draw on large amounts of highly standardized templates and precedent banks to scaffold document generation, making the results far more predictable than with most free text outputs.”

But the problems with current generations of generative AI have already started to show.

 

Blogs are back baby — from blog.edtechie.net by Martin Weller

Excerpt:

The conclusion I take from all this (which I carefully assembled so I could draw the conclusion I want), is that there is a desire to have a core place on the net, that is not subject to the whims of billionaires, institutions or markets, where you can engage in a range of dialogue, from personal to professional, and that you enjoy revisiting. Ladies and gentleman, I give you, the blog.

From DSC:
I hope you’re right Martin!!! I still really appreciate blogs, as readers of this Learning Ecosystems blog might have guessed. 

 
 
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