Legal Tech’s Predictions for Artificial Intelligence in 2020 — from law.com by Zach Warren
We may not have robot lawyers, but lawyers and technologists agree that artificial intelligence will have a major impact on the legal profession in 2020.

Excerpts:

Alex Babin, CEO, Zero: “The biggest gains from automating legal practices will be time saved and improved workflow efficiencies as the AI ‘takes over’ more laborious tasks including litigation support, email, e-discovery, and the use of databases for case management. Lawyers will begin to trust in this process, letting AI perform these basic tasks such as auto-filing document and email for compliance. AI will enhance corporate and regulatory reporting and improves contract creation and management.”

Scott Forman, shareholder, Littler Mendelson and founder of Littler CaseSmart and Littler onDemand: “Data analytics and AI have already fundamentally changed the delivery of legal services, but I expect 2020 to bring a greater understanding of how these technologies enhance, rather than overtake, the work of lawyers. While robots and technology will never replace lawyers, they provide data and insight enabling lawyers to do their jobs faster and better. This includes automating aspects of the legal process—so that lawyers can focus on top-of-the-pyramid work—as well as synthesizing and serving up information that guides litigation strategy, identifies potential areas of risk and moves toward predicting legal outcomes.”

 

 

Some of the topics/items mentioned include:

  • Technologists join lawyers in creating the legal realm of the future.
  • Future lawyers will need to either have project managers on staff or be able to manage projects themselves.
  • Lifelong learning is now critically important. One doesn’t necessarily need to be able to code, but one needs to be constantly learning.
  • Need to understand legal principles but you will also need to have augmented skills (which will differ from person to person)
  • New business and delivery models. Don’t presuppose that the current model will always be around.
  • There will be fewer traditional roles/practices. Traditional roles are sunsetting; new skillsets are needed.
  • Students: Do your due diligence; read up on the industry and think about whether there’s a good fit. Learn your craft. Get experience. Be who you are. Bring your unique brand to the table.
 

Coming down the pike: A next generation, global learning platform [Christian]

From DSC:
Though we aren’t quite there yet, the pieces continue to come together to build a next generation learning platform that will help people reinvent themselves quickly, efficiently, constantly, and cost-effectively.

Learning from the living class room

 

Learning from the living class room

 

Learning from the living class room

 

120 AI predictions for 2020 — from forbes.com by Gil Press

Excerpt:

As for the universe, it is an open book for the 120 senior executives featured here, all involved with AI, delivering 2020 predictions for a wide range of topics: Autonomous vehicles, deepfakes, small data, voice and natural language processing, human and augmented intelligence, bias and explainability, edge and IoT processing, and many promising applications of artificial intelligence and machine learning technologies and tools. And there will be even more 2020 AI predictions, in a second installment to be posted here later this month.

 

19 striking findings from 2019 — from pewresearch.org by John Gramlich

Excerpt:

Every year, Pew Research Center publishes hundreds of reports, blog posts, digital essays and other studies on a wide range of topics, from the demographic and political changes that are reshaping the United States to the attitudes and experiences of people in dozens of other countries. At the end of each year, we compile a list of some of our most noteworthy findings. Here are 19 striking findings from our research this year…


A majority of Americans do not think it is possible to go about daily life without corporate and government entities collecting information about them. Americans widely believe at least some of their online and offline activities are being tracked and monitored by companies and the government. It is such a common condition of modern life, in fact, that roughly six-in-ten U.S. adults say they don’t think it is possible to go through daily life without having data collected about them by companies (62% say this) or the government (63%).

Read the other posts in our striking findings series:

 

Evergreen Data Visualization  — from stephanieevergreen.com; with thanks to Mr. Pat Bailey for his post on LinkedIn.com about this resource

From DSC:
If you are using RSS feeds along with a product like Feedly, it might be worth subscribing to the stream of content originating at stephanieevergreen.com/blog/. I appreciated her designs in crafting/relaying narratives via the data that she has worked with.

Here’s an example posting:

 

The Jobs of Tomorrow: LinkedIn’s 2020 Emerging Jobs Report — from blog.linkedin.com by Guy Berger

Excerpt:

Here’s what you should know about this year’s emerging jobs.

  • Artificial intelligence (AI) continues to make a strong showing on our Emerging Jobs lists, which is no surprise.
  • Professionals are on the move, likely a result of factors like housing costs, political and regulatory change, or more flexibility with remote work opportunities.
  • Demand for soft skills is likely to increase as automation becomes more widespread. Skills like communication, creativity, and collaboration are all virtually impossible to automate…

Also see these reports:

Online learning is here to stay.
The multibillion-dollar e-learning industry is taking off, and it’s staffing up to prepare. LinkedIn data shows the industry is snapping up both sales and tech talent, indicating continued customer demand for these types of solutions.

 

2019 study of undergraduate students & information technology — from library.educause.edu

Excerpts:

Drawing on survey data from more than 40,000 students across 118 US institutions, this report highlights a number of important findings related to students’ technology preferences, supports, and experiences, with the goal of aiding technology and higher education professionals in improving student learning experiences and success.

But they want to be more than in-class spectators:

  • “I want my professors to stop reading PowerPoint slides word-for-word off of a screen, and to start using the technology at hand to create a different kind of lecture that will engage their students in the learning process.”
  • “I’d love for there to be more interactive polling and questions during class. Even though I don’t like the idea of being in lecture every day, that would keep me more engaged if the instructors were more dynamic with their tech use.”
  • “Integrate [technology] more into lectures. It’s very difficult to sit and watch you talk. Technology can be so beneficial to learning if used in the right ways to enhance and complement lectures. Use collaborative quizzes (Kahoot, etc.), let us research in class, etc.”
  • “Provide more online learning tools such as interactive lectures where people on laptops or tablets can also engage with the material being presented.”

 

Figure 2. Student learning environment preferences for specific course-related activities and assignments

Recommendations

  • Leverage analytics to gain a greater understanding of the student demographics that influence learning environment preferences.
  • Continue to promote online success tools and provide training to students on their use through orientations and advisement sessions.
  • Expand efforts to improve Wi-Fi reliability in campus housing and outdoor spaces.
  • Allow students to use the devices that are most important to their academic success in the classroom.
  • Establish a campus community to address accessibility issues and give “accessibility evangelists” a seat at the table.

 

From DSC:
Well students…you might find that you have a major surprise ahead of you — as a significant amount of your future learning/training will take place completely online. Go ask some folks who have graduated about their onboarding experiences. Then go ask people who have been in the workplace for over a decade. You’ll see what I mean.

 

The 20 top tech skills that employers want and that can help you find a job, according to recruiting site Indeed — from businessinsider.com by Rosalie Chan and Bani Sapra

Excerpt:

The job search site Indeed released a report this month about the top tech skills of 2019 based on job descriptions that are being posted.

Andrew Flowers, an economist at Indeed, says that in today’s job market, there are two major trends that drive the top skills in tech. The first is the rise of data science, machine learning, and artificial intelligence. The second is the rise of cloud computing.

“Python has had explosive growth,” Flowers told Business Insider. “If I’m around the dinner table and a nephew asks what should I learn? Having done this report, I would say, learn Python.”

 

Amazon’s Ring planned neighborhood “watch lists” built on facial recognition — from theintercept.com by Sam Biddle

Excerpts (emphasis DSC):

Ring, Amazon’s crime-fighting surveillance camera division, has crafted plans to use facial recognition software and its ever-expanding network of home security cameras to create AI-enabled neighborhood “watch lists,” according to internal documents reviewed by The Intercept.

Previous reporting by The Intercept and The Information revealed that Ring has at times struggled to make facial recognition work, instead relying on remote workers from Ring’s Ukraine office to manually “tag” people and objects found in customer video feeds.

Legal scholars have long criticized the use of governmental watch lists in the United States for their potential to ensnare innocent people without due process. “When corporations create them,” said Tajsar, “the dangers are even more stark.” As difficult as it can be to obtain answers on the how and why behind a federal blacklist, American tech firms can work with even greater opacity: “Corporations often operate in an environment free from even the most basic regulation, without any transparency, with little oversight into how their products are built and used, and with no regulated mechanism to correct errors,” Tajsar said.

 

From DSC:
Those working or teaching within the legal realm — this one’s for you. But it’s also for the leadership of the C-Suites in our corporate world — as well as for all of those programmers, freelancers, engineers, and/or other employees working on AI within the corporate world.

By the way, and not to get all political here…but who’s to say what happens with our data when it’s being reviewed in Ukraine…?

 

Also see:

  • Opinion: AI for good is often bad — from wired.com by Mark Latonero
    Trying to solve poverty, crime, and disease with (often biased) technology doesn’t address their root causes.
 

Why AI is a threat to democracy – and what we can do to stop it — from asumetech.com by Lawrence Cole

Excerpts:

In the US, however, we also have a tragic lack of foresight. Instead of creating a grand strategy for AI or for our long-term futures, the federal government has removed the financing of scientific and technical research. The money must therefore come from the private sector. But investors also expect a certain return. That is a problem. You cannot plan your R&D breakthroughs when working on fundamental technology and research. It would be great if the big tech companies had the luxury of working very hard without having to organize an annual conference to show off their newest and best whiz bang thing. Instead, we now have countless examples of bad decisions made by someone in the G-MAFIA, probably because they worked quickly. We begin to see the negative effects of the tension between doing research that is in the interest of humanity and making investors happy.

The problem is that our technology has become increasingly sophisticated, but our thinking about what free speech is and what a free market economy looks like has not become that advanced. We tend to resort to very basic interpretations: free speech means that all speech is free, unless it conflicts with defamation laws, and that’s the end of the story. That is not the end of the story. We need to start a more sophisticated and intelligent conversation about our current laws, our emerging technology, and how we can make the two meet halfway.

 

So I absolutely believe that there is a way forward. But we have to come together and bridge the gap between Silicon Valley and DC, so that we can all steer the boat in the same direction.

— Amy Webb, futurist, NYU professor, founder of the Future Today Institute

 

Also see:

“FRONTLINE investigates the promise and perils of artificial intelligence, from fears about work and privacy to rivalry between the U.S. and China. The documentary traces a new industrial revolution that will reshape and disrupt our lives, our jobs and our world, and allow the emergence of the surveillance society.”

The film has five distinct messages about:

1. China’s AI Plan
2. The Promise of AI
3. The Future of Work
4. Surveillance Capitalism
5. The Surveillance State

 

Emerging Tech Trend: Patient-Generated Health Data — from futuretodayinstitute.com — Newsletter Issue 124

Excerpt:

Near-Futures Scenarios (2023 – 2028):

Pragmatic: Big tech continues to develop apps that are either indispensably convenient, irresistibly addictive, or both, and we pay for them, not with cash, but with the data we (sometimes unwittingly) let the apps capture. But for the apps for health care and medical insurance, the stakes could literally be life-and-death. Consumers receive discounted premiums, co-pays, diagnostics and prescription fulfillment, but the data we give up in exchange leaves them more vulnerable to manipulation and invasion of privacy.

Catastrophic: Profit-driven drug makers exploit private health profiles and begin working with the Big Nine. They use data-based targeting to over prescribe patients, netting themselves billions of dollars. Big Pharma target and prey on people’s addictions, mental health predispositions and more, which, while undetectable on an individual level, take a widespread societal toll.

Optimistic: Health data enables prescient preventative care. A.I. discerns patterns within gargantuan data sets that are otherwise virtually undetectable to humans. Accurate predictive algorithms identifies complex combinations of risk factors for cancer or Parkinson’s, offers early screening and testing to high-risk patients and encourages lifestyle shifts or treatments to eliminate or delay the onset of serious diseases. A.I. and health data creates a utopia of public health. We happily relinquish our privacy for a greater societal good.

Watchlist: Amazon; Manulife Financial; GE Healthcare; Meditech; Allscripts; eClinicalWorks; Cerner; Validic; HumanAPI; Vivify; Apple; IBM; Microsoft; Qualcomm; Google; Medicare; Medicaid; national health systems; insurance companies.

 

Microsoft wants anyone to be a developer, whether they code or not — from qz.com by Mike Murphy

Excerpt:

Computers are meant to make life easier, but the ability to actually create new functionality for them resides only with a very skilled few. Microsoft wants to make computers a bit more like automobiles—millions of people know how to operate a car, and owning one can change your life, even if comparatively few have any idea how to build an engine.

Onstage at Microsoft’s Ignite enterprise developer conference in Florida [on 11/4/19], CEO Satya Nadella announced a host of new tools aimed at making it easier for anyone to develop apps.

Earlier this year, Microsoft unveiled the Power Platform, wrapping together a set of programs it has had for a few years that allow companies to wrangle their data into understandable visualizations, and build apps using that data and Microsoft’s technologies.

 

 
 

The Future Ready Lawyer — from Wolters Kluwer

Excerpts:

Leveraging technology as a strategic advantage is characteristics of high-performing businesses and professionals around the world. The same is true for the legal sector. Technology is a differentiator, and will become even more important as legal professionals recognize and leverage the unprecedented insights, capabilities and efficiencies that technology delivers. In addition, the emerging legal ecosystems will demand it, as tech-empowered players outside of the traditional legal profession continue to enter and disrupt the market.

 

Excerpt from the Future Ready Lawyer

 

 

From DSC:
It’s interesting to note how many times the words “technology” (205 times) and/or the word “technologies” (77 times) appear in that report.

 

 
© 2025 | Daniel Christian