The promise of AI has been around for decades, but it is the last three months that has finally caused an awakening so forceful, that even the legal industry understands it needs to be ready for the upcoming Age of AI. This week’s guest has worked toward that goal of integrating AI and other technologies into the practice of law for more than forty years. Johannes (Jan) Scholtes is Chief Data Scientist for IPRO – ZyLAB, and Extraordinairy (Full) Professor Text Mining at Maastricht University in The Netherlands. He joins us this week to discuss the need for lawyers and law firms to use these tools to enhance the power of the practice of law. And he warns that if the traditional legal resources of lawyers and firms won’t step up, there are others who will step in to fill that void.
While the AI tools like GPT and other generative AI tools have finally begun to be true language tools, there is still a lot that these tools simply cannot do. Scholtes says that there is plenty of legal work to be done, and in fact perhaps more work now that the computers can do most of the heavy lifting and allow the lawyers to do the thinking and strategy.
Scholtes compares the relationship between the lawyer and the technology to be that of a pilot and co-pilot. A relationship in which the co-pilot cannot be completely trusted but can be trained to assist through the process of vertical training. This means that a law firm needs to work with the AI to have it better understand how to process legal information. Having the technology alongside the lawyers provides a stronger legal representation than just the lawyers or the technology alone. In addition to reducing risk and improving outcomes, Scholtes also projects that Lawyer + AI means higher rates and better profitability, while the clients receive better results.
It is exciting to be at the beginning of this change in the way law is practiced. It is important, however, that law firms, lawyers, and legal professionals understand how to teach and control the technology, and that there needs to be transparency in how the tools work and make decisions. His recommendation is that if all you are offered is and AI Black Box, then you should simply walk away. That lack of trust will come back to bite you.
For more insights from Jan Scholtes, visit his blog, Legal Tech Bridge.

Listen on mobile platforms:  Apple Podcasts LogoApple Podcasts |  Spotify LogoSpotify

Contact Us:

Twitter: @gebauerm, or @glambert
Voicemail: 713-487-7821
Email: geekinreviewpodcast@gmail.com
Music: Jerry David DeCicca

Transcript:

Continue Reading Johannes Scholtes: AI Is Finally Here. Now the Hard Work Begins for the Legal Industry (TGIR Ep. 191)

Mollie Nichols is the CEO of Redgrave Data, a company that uses data analytics and technology to assist the legal industry. After leaving Hogan Lovells, Mollie launched Redgrave Data in January of 2022 and has seen a strong demand for their services in data analytics, regulation, compliance, and internal investigations. Companies often seek the expert assistance of Redgrave Data in order to improve efficiency among the law firms, eDiscovery services, ALSPs, and internal legal operations. She is working to move legal departments away from being seen as a “black hole for money” and focused more on the unique and valuable in achieving the strategic goals of the company. One of the hidden gems in these legal departments is the insights that the legal team can uncover through visualization and analysis of the data within the department. 
One area that Mollie things the legal industry needs to change is how it processes and analyzes the data we collect and create. You cannot look at data simply as a commodity. Where your data tools or your outsourced data analytics teams take unique batches of data and then send it through a one-sized fits all process. Data has to be analyzed through the lens of the current legal issue or toward the goals of the company. This is one of the areas that she says Redgrave Data stands apart from others in the field.
In her Crystal Ball projection, Mollie Nichols sees the use of artificial intelligence (AI) in the legal field is likely to increase, but some lawyers and judges may not fully understand or accept it. AI can help with the growing volume and complexity of data in legal cases, but there may be challenges in accessing and using this data effectively. Overall, she thinks that AI is going to have a significant impact on the legal field.

Listen on mobile platforms:  Apple Podcasts LogoApple Podcasts |  Spotify LogoSpotify
Links:
New Logo!!
We are SUPER GEEKED about our new logo design. Shoutout to logo designer @ChangoATX who did a wonderful job and got our new logo completed just in time for the holidays!! Let us know what you think.
Contact Us:
Twitter: @gebauerm, or @glambert
Voicemail: 713-487-7821
Email: geekinreviewpodcast@gmail.com
Transcript

Continue Reading Redgrave Data’s Mollie Nichols on the De-Commoditizing of Data in the Legal Industry (TGIR Ep. 184)

This week we have Debbie Reynolds, “The Data Diva,” join us to discuss the current state of data regulations, privacy, access, and what’s on the horizon for data in the legal industry. Debbie is a 2022 ABA Women in Legal Tech Honoree and the host of The Data Diva Talks Privacy Podcast.
According to Debbie, there is exponential growth going on in technology and the types of data that is being captured. At the same time, governments across the globe are trying to find ways of regulating how businesses and organizations can capture and use data they gather from individuals. These two event are not coordinated so it has created a “Wild West” situation where the law is trying to catch up to the realities of data gathering in the business world.
Training on data security is also lagging behind what is really needed today. Most training on data security is framed around the idea that “data security is everyone’s responsibility.” Reynold’s response to that is unless you are more specific about what it is you need people to do in regards to data security, then it turns out that “everyone’s responsibility is actually no one’s responsibility.”
As technology advances beyond encryption, satellite integration, IoT devices, and morphs into the Metaverse, the types of data produced and gathered is going to completely overwhelm any government’s ability to regulate it. The Data Diva thinks that if we don’t start creating more transparency when it comes to individual’s data privacy, it’s just going to get more and more complicated than it is right now.

Listen on mobile platforms:  Apple Podcasts LogoApple Podcasts |  Spotify LogoSpotify
AALL Crystal Ball Answer
Wolters Kluwer’s Anand Daga is our last AALL Crystal Ball response. His view of how the legal information industry will change in the next two to five years revolves around how the information is delivered to the end users. He sees things in much smaller chunks of information delivered to the researchers in shorter, practical methods in ways that value the practitioner’s time.
At Legal Value Network eXperience

Greg is going to LVNx this week and will have The Geek in Review stickers to hand out. So if you’re in Chicago at LVNx, be on the lookout and prepared to answer our Crystal Ball Question!

Contact Us:
Twitter: @gebauerm or @glambert
Voicemail: 713-487-7821‬
Email: geekinreviewpodcast@gmail.com
Music: 
Jerry David DeCicca
Transcript

Continue Reading The Data Diva and Two Geeks Talk Data Privacy – Debbie Reynolds (TGIR Ep. 174)

[Ed. Note: This week marks The Geek in Review’s 4th Anniversary. We thank you all for listening, subscribing, and telling your colleagues about what you hear. We’d love to hear more from you on what your favorite episodes are or what topics you’d like us to cover. Tweet us at @gebauerm and @glambert with your thoughts. Thank You Listeners!! – GL/MG]

We all know the saying “High Risk, High Reward.” But when it comes to data security, Peter Baumann, CEO and co founder of ActiveNav, we derive the value of the data because we just can’t get through the risk. There are three things always facing businesses whenever there is data involved, and that is the protection of the business’s reputation, the costs involved in non-compliance, and then the exponential growth of data within the organization. We are so focused on reacting to these three variables, that we simply cannot do anything on the value of the data itself.

Peter talks with us about the number of existing patchwork of regulations around the world, and how it makes it too difficult for business and organizations to comply. And while most experts suggested that regulations like GDPR would only govern those with businesses or people in Europe, it’s become the de facto compliance bar for privacy and data security for many businesses. He suggests that the US Government needs to step in an set a clear regulatory path around data privacy and security so that businesses know what the rules are, and the legal industry can better advise their clients on what steps they need to take to be compliant.

We dive deep in this episode and talk about what is structured and data. And how the existence of “dark data” within a business is what brings the highest risk of all. While doing data assessments on Terabytes and even Petabytes of data is extremely expensive, data breaches are even more expensive. The goal in Peter’s mind is to get to “zero dark data” so that you can stop worrying completely on the risks, and start understanding the value within your data.

Listen on mobile platforms:  Apple Podcasts LogoApple Podcasts |  Spotify LogoSpotify
Contact Us

Twitter: @gebauerm or @glambert
Voicemail: 713-487-7270
Email: geekinreviewpodcast@gmail.com
Music: Jerry David DeCicca

Transcript

Continue Reading ActiveNav’s Peter Baumann: There is So Much Value In Your Data… Once You Control the Risks (TGIR #163)

The next big thing needs to be a proactive approach to knowing where data lives and what it means. It needs to include tools to keep data organized and secured regardless of location. 
One of the most exciting areas in legal tech over the past several years has been the growth of intelligent software. When