Ep 284: Building A Human-Led, AI-Enhanced Justice System

Episode Categories:

Harnessing Generative AI in the Legal Landscape

In the rapidly evolving legal profession, the adoption of generative artificial intelligence (AI) has been prevalent. It has been instrumental in enhancing the functionality of law firms beyond mere efficiency. Modern AI technologies not only assist in streamlining processes but also aid in the creation of more substantive and impactful case development.

The Pioneering Role of Justice Intelligence Platforms in the Legal Sector

One sector illustrating this trend is Justice Intelligence Platforms. The use of robust software designs allows these platforms to readily analyze publicly-available data. Such data has been useful in identifying and correlating high cancer rates to herbicide and pesticide use, thereby, developing a pipeline of cases for legal firms. This utilitarian approach indicates AI's capacity to pave the way for innovative and novel avenues in addressing social justice issues and legal dilemmas.

Large Language Models and Their Untapped Potential

Large language models such as ChatGPT are seeing an increased acceptance among law practitioners. These AI technologies are assisting firms in various use cases that aim at improving the efficiency movement in law firms. Nevertheless, despite this victory, skepticism still exists around the use of generative AI within law administration.

AI: Efficiency Vs. Impact

It's crucial that businesses evaluate the balance between efficiency and impact when implementing AI. While it is true that AI technology has provided a significant boost in law firm efficiency and productivity, it raises the underlying question: is the quest for AI-enhanced productivity overshadowing creating impactful societal outcomes?

For instance, it may be noted that 40% of lawyers have used generative AI in a legal use case. While the efficiency movement in AI aims at improving the speed and quality of work, using generative AI should not be solely synonymous with working less. Instead, it should stimulate the creation of comprehensive outcomes for a better future.

As powerful forces continue to revolutionize the legal sphere, these new tools need to be adopted responsibly without compromising on the human-led approach unique to the legal profession.

Future of AI in Legal

In conclusion, the movement to AI should not lead to lawyers forgetting their role as societal guardians. The future we ideate depends on balancing AI implementation, enhancing productivity, and remembering to pioneer socially just outcomes. This balance can lead to a healthier legal profession and allow us to examine the multiverse of law, bringing forth narratives and rules traditionally overlooked.

The future of the legal profession is likely to be shaped by these narratives, leading the way for companies to understand the vast potential of generative AI beyond productivity. Used responsibly, AI can help preserve the humanity in the legal profession while propelling it forwards with greater efficiency. Building a human-led and AI-enhanced justice system is not just an inevitability now — it's a necessity for the future we want to live in.

Topics Covered in This Episode

1. Use of generative AI in the legal system
2. Use of LLMs in the legal system
3. AI's impact on efficiency in the legal industry

Podcast Transcript

Jordan Wilson [00:00:15]:
AI. Everything's about efficiency. More tasks, more productivity, more business, more growth. That's what it's always about. Right? But when we're talking about the the legal system in law firms, is is more always better? Is is it just about growing the firm, or can generative AI help the legal system in other ways and and help law firms focus more on impact versus just efficiency? Alright. So we're gonna be talking about that today and more on everyday AI. What's going on y'all? My name's Jordan. I'm the host of everyday AI, and this show is for you.

Jordan Wilson [00:00:52]:
We do this every single weekday, helping you grow your company and grow your career with our daily livestream podcast and free daily newsletter. So we are going to be talking today about how you can build maybe a more human led in AI enhanced justice system. But before we do, we're gonna start as we do every day by going over the AI news. So if you haven't already, make sure to go to your everydayai.com and sign up for that free daily newsletter. Alright. Let's go ahead and talk about big stories. We got some big stories going on, in in the world of AI today. So nice little feature release here from a very popular tool, but Perplexity has released a powerful new AI feature.

Jordan Wilson [00:01:34]:
So Perplexity AI has just launched a feature called Perplexity Pages, which allows users to create visually appealing articles or reports using AI generated content and customized prompts. These pages, interestingly enough, can also be shared and searched through Google. So seemingly a pretty big SEO play here. So users can customize prompts, select the tone and audience of the content, and add or remove sections as needed. The feature is seen as information curation rather than AI generated content curation. So, pretty pretty interesting update there from perplexity. Alright. Speaking of big names, well, some of the biggest names in tech have teamed up to go against NVIDIA.

Jordan Wilson [00:02:16]:
Yeah. Maybe NVIDIA is getting too big, too popular for everyone else's liking. So, Intel, Google, Microsoft, Meta, and other tech giants have formed what's called the Ultra Accelerator Link or UA Link promoter group to create an industry standard for connecting AI accelerator chips in data centers. With this kind of unlikely partnership, the group aims to reduce dependencies on NVIDIA and promote innovation. In addition to Google, Microsoft, and Meta, the group also includes AMD, HPE, Cisco, and Broadcom. So pretty interesting there. You're like we we've seen a couple of these, alliances. You know, people worried about NVIDIA getting too big and too powerful.

Jordan Wilson [00:02:55]:
Alright. Last but not least, pretty big news happening with Apple. So some new, information on Apple's upcoming collaboration with OpenAI to enhance Siri with their GPT technology. So according to reports from Bloomberg, Apple is expected to reveal a new Siri AI helper at its WWDC conference in about 2 weeks. So this partnership has, reportedly angered Microsoft who has invested heavily in OpenAI and is concerned about competing with Apple's AI technology. So Apple, according to reports, has been in discussions with OpenAI since mid 2023 to integrate cutting edge GPT, some some of this voice technology in the upcoming iOS 18th. During internal testing, Apple engineers connected chat gpt to Siri demonstrating enhanced query handling and context comprehension. So Microsoft has expressed concerns about the Apple and OpenAI partnership for seeing potential competition and server demand challenges.

Jordan Wilson [00:03:54]:
The new Apple, and OpenAI Siri integration reportedly may require the latest iPhone 15 Pro or Pro Max due to the advanced kind of AI, demands on the chip. Also, the upcoming AI features, may allow users to control, features inside of apps with your voice. So pretty big announcement there with, with, Siri and and OpenAI and the future of interacting with iPhones. I don't know if I'm gonna use my voice to interact with apps. Seems counterintuitive, but, you know, it is. So, I'm I'm excited for today's show. Yeah. A little little different, little different setup here.

Jordan Wilson [00:04:30]:
So thanks thanks to, the worldwide technology, team WWT for hosting me out here in Saint Louis, but, let's go ahead and bring on our guest for today's show. So I'm very excited. Let's see if we can there we go. There we go. We got it. So, Evia is the CEO and cofounder of Darrow. Evia, thank you so much for joining the Everyday AI Show.

Evyatar Ben Artzi [00:04:53]:
Happy to be here, Jordan. Thank you for having me.

Jordan Wilson [00:04:56]:
Alright. Absolutely. So can you tell us a little bit just about what, Darrow is and what you all do?

Evyatar Ben Artzi [00:05:04]:
Yeah. So Darrow is a justice intelligence platform that helps litigation teams, legal teams, create a better impact on the world and grow their business as they do it.

Jordan Wilson [00:05:14]:
Yeah. And so even just from the AI side. Right? Because, you know, artificial intelligence isn't new. Right? And it's been around in the legal system for a a very long time. But can you speak a little bit, about how Darrow uses, you know, whether traditional AI or generative AI, you know, in your day to day?

Evyatar Ben Artzi [00:05:34]:
Yeah. We we use, of course, both and, and a lot more than that, I feel. A lot of technology and also a lot of methodologies and how, legal teams could work agile. Right? So the the best use case I can kinda give as an example is the needle in a haystack, where you're trying to kinda connect, one event that happened in multiple corpora. Right? So a lot of corpora ces of text. Right? Corpora. And and you wanna kind of correspond the the mentions of the event in all different types of language. And and that's how kind of our world is currently built.

Evyatar Ben Artzi [00:06:16]:
We have a lot of silos of information, and, each of us has a very hard time to find this information. And lawyers are not different than any one of us. So it's kind of creating a a multimodel justice system that can absorb a lot more data into it. And and I'll just wanna give an example just right away so so it's clear. One of our clients, had one of the best use cases we've seen, where they decided to solve, a problem that that they personally had, the pesticide and herbicide problem. They saw that, regenerative regenerative agriculture I hope I'm saying this correctly. Regenerative, agriculture is kinda trying to solve this, right, by growing a lot of different crops in the same field, over the years so that the soil kind of regenerates and you don't need a lot of pesticide and herbicide. But modern agriculture isn't like that.

Evyatar Ben Artzi [00:07:09]:
And we grow the same crops in the same place again and again. That creates a need for some dangerous herbicides and pesticides that cause, alarming diseases. And this law firm, this legal team wanted to solve this. And and the specific litigator that used the software basically asked to analyze a lot of publicly available data connecting between the application of herbicides and pesticides and high cancer rates that correlate to the same chemicals in these herbicides and pesticides according to research. And and what happened is that they created a pipeline of cases for their firm for years. Right? Years years of business. And and that happened just as a single use case by a law firm. We're talking about some of the the greatest, biggest cases like Aaron Brockovich kind of cases you could think about in in one specific state in the US.

Evyatar Ben Artzi [00:08:00]:
And that's the use case they they created. So kind of this software has the potential to create justice in an intelligent way and to enhance the justice system, led by humans, by, AI that helps them.

Jordan Wilson [00:08:16]:
Yeah. So, you know, obviously, artificial deep learning and advanced algorithms have been used in the legal system for, decades. But, you know, when we talk about kind of, generative AI and and large language models, you know, for for our audience tuning in that maybe isn't too familiar with how, you know, the legal system either views large language models like ChatGPT and and all of these others or uses them. Can you talk us through, you know, kind of give us a kind of a quick pulse on how the legal system is viewing large language models right now? Because I'm not even sure because sometimes you hear law firms are using these and sometimes they're they're banning them. So, you know, in general, can you give us, you know, kind of the overview of of how the legal system is or is not using generative AI?

Evyatar Ben Artzi [00:09:01]:
Yeah. First of all, I I think that the legal system definitely is using generative AI. We have a lot of surveys showing this. 40%, I think, of of lawyers have used it in a legal use case. And and, of course, when someone uses it, doesn't mean that they just, you know, we hear these stories where, ChatChikati invents fake cases. Most of the use cases are not unresponsible. Most of

Jordan Wilson [00:09:27]:
them are

Evyatar Ben Artzi [00:09:27]:
responsible, like like, most of the use cases of AI in the world right now, where people are using it to do something important that they couldn't have done before, at the same time frames. But that's kind of the efficiency, movement in AI, and it's very big in law firms today. The efficiency movement is talking about shortening the cycles of of business. Right? Or shortening the cycles of work and making it so that you can work less, so to speak. I guess the problem with this is that you don't really work less when you use generative AI for efficiency. Because what happens is that, you you get more time to then think about what the next thing you're going to do is. And then you use that time by, again, sending your inputs to some kind of model to get further feedback. And instead of having kind of yourself get help from the model, you're basically helping the model.

Evyatar Ben Artzi [00:10:24]:
You're basically training it. And and it's amazing. Some people have really good connections with their models. But what's happening in law firms right now, the other movement that is kind of coming into the legal world, and it's it started with, first of all, GCs and then plaintiff lawyers and now defense law firms and also the courts themselves. We're kinda seeing the whole ecosystem rally around the idea that you could use AI to find out what the most impactful thing you could do to to, achieve a world that you're imagining is. Right? And and you're looking for the stories that really deserve your attention. You're looking for the things that have to happen in the future for your firm to thrive and for for humanity or or or whatever it is your cause to thrive. And and the best example, I just gave it away.

Evyatar Ben Artzi [00:11:13]:
Right? But there are so many others. We can see it in defense law firms that are trying to, transactional firms, sorry, that are trying to help, more transaction happen in the sustainable energy world. Right? What's happening there is incredible.

Jordan Wilson [00:11:27]:
Yeah. So so, Evia, like, one thing that I think when I think of the legal system is I think, you know, a mountain of books behind someone, and they're preparing for a case and, you know, they have, you know, mountains of of paper on the table. Right?

Evyatar Ben Artzi [00:11:41]:
Yeah. It's like this. Oh, so They always have a book like this. Right? Exactly. Exactly. Book like this and then, like, a library, it's always like that. Yeah. You're right.

Jordan Wilson [00:11:49]:
Right. So so I mean, when you think about large language models and and generative AI, I, like, I always my my mind tends to think is is, you know, what professions have the most to gain, right, from being able to, in theory, right, be able to comb through mountains of books and find that one little thing. Right? So, I see the huge upsides in in how the legal system, you know, could potentially be using generative AI, but I see the downsides as well. So what are maybe some of the dangers of law firms maybe being a little too reliant on generative AI versus that kind of quote, unquote old school coming through mountains of paper approach?

Evyatar Ben Artzi [00:12:28]:
Yeah. Well, I I kinda wanna get philosophical, like always, with with this topic, because it's it's it's really big. I think law firms in general kind of follow 2 universes. They have a multiverse already. One universe is the the nomus. Right? This this is a cover. Robert Cover wrote this, in 1983, I think. And and it was kind of this amazing concept where there are 2 universes in law.

Evyatar Ben Artzi [00:12:57]:
1 is known as this is the law. Right? These are all the legislations and all the use cases of law. The the the cases that go into, print, you know, and these these law books, these big law books, they they all look the same. And and and then there's another universe called, the narrative universe. And and nomas and narratives are the 2 universe universes where lawyers live. The narrative universe is all that happens, and they're trying to figure out which narratives should, help develop the law and which laws should help develop narrative. You you just got the the Yeah. I just move a little bit.

Jordan Wilson [00:13:34]:
Yeah. I got yeah. When you

Evyatar Ben Artzi [00:13:35]:
get up, it's it's better. It's fine. And I I think it kinda helps everyone kind of set, the stage for for our conversation about universes. But basically, we're right now in a universe of narrative. We're talking and humans talk through narrative. But the law works in a different way where there are intentions put into a book and the intention is that that changes reality. And humans can create law because they work together. Right? And and have a democracy.

Evyatar Ben Artzi [00:14:04]:
Democracies create really good rules. And those rules help govern our societies in a way that, creates better impact and better societies. So lawyers work in these two universes. And now you're asking, how do they use AI? And the way that they're using AI is to kind of expand this multiverse, have a lot more narratives to talk about, have a lot more rules to talk about, kinda grow their their understanding of the world outside of the books that they have, you know, on their desk and kind of open to the world. And in the past, like, the the big incumbent companies in in legal tech have kinda segregated information, siloed it, and sold it. You know, they actually sold the information. They didn't sell, your your ability to use information. They actually sold the bits of information.

Evyatar Ben Artzi [00:14:54]:
The government does this as well with with a pacer. Right? And then there are, like, free law projects that kinda try to to change that. But we have a whole ecosystem of data that segregates the data into silos so that lawyers have a harder time kind of breaking the silos and getting to a world that really is truly collaborative between narrative and and law. And and that's the world we're coming to today. And in a world like that, lawyers just have to sit and become thinkers of what kind of world they wanna create, and it's in their fingertips. Tips. They could do the right strategy, you know, perform the right strategy with the right litigation and legislation and and whatever. Right? Build a real strategy that changes the world, and it's fascinating.

Jordan Wilson [00:15:40]:
Yeah. And and, you know, yeah, we got very philosophical there, you know, but, you know, one thing that that that I'm wondering about is is this this constant balance. Right? And and how should you know, whether we're talking individual lawyers or, law firms, how can they balance that, like, efficiency and productivity versus creating impact? Right? And and when we talk about, you know, social justice. Right? So how should law firms be, you know, how can they find that balance to, yes, use the productivity gains, from large language models, but to still, you you know, kind of do the right thing and to focus on what matters. Right? Whether that's their their clients or a bigger issue, but how can they find that balance?

Evyatar Ben Artzi [00:16:23]:
Yeah. So first of all, Darrow, the company that I work for is is a growth movement company. So we we work on growth in legal AI. We help law firms grow. There are companies that do efficiency AI, and and most of the companies in legal tech do that. And and I think they're absolutely essential. Like, no law firm can go without using efficiency AI. But after you do that, you get a lot of time on your hands.

Evyatar Ben Artzi [00:16:51]:
And and, like, speaking just for a second commercially, once you solve a lot of efficiency bottlenecks in in your pipeline, it will be harder to bill the same amount of billables. Right? The hours that actually make money for law firms. It's gonna be hard to bill as much because clients will say, well, I'm not paying for this NDA if you just chat GPT ed it. Right? And and everyone knows already. So you you can't spend $1,000 on an NDA, where where that NDA was created by ChatGPT. What's going to happen today is and and it's already happening, is that law firms are kinda seeing this and saying, well, efficiency is very good because it solves a lot of bottlenecks. It helps lawyers, associates, partners spend more quality time on the things they like doing. But then how do we make sure that the things they like doing are the things that create the impact we want in the world? How do we make sure that, like, what we love to do and the work we're doing get connected? And I think that's where growth AI comes in and and Darrow comes in.

Evyatar Ben Artzi [00:17:57]:
What Darrow does is helps litigation teams be strategic about growing and and really, go to the the realms they want to create, create the worlds in which they wanna live in.

Jordan Wilson [00:18:10]:
You know, you you mentioned something there, Evia, that, at least when I've talked to some, law firms and I've talked to people either even who are consulting, you know, in the kind of AI and legal space, and a lot of times, it comes back to billable hours. Right? So I'm I'm glad she brought that up. It's kind of the the elephant in the room, I think, with, when it comes to legal and generative AI. Do you think that maybe, a lot of law firms are leaving impact on the table as in, you know, hey. They're still doing things kind of the old school way, and they're pushing off innovation because they just want those those, you know, higher billable hours, whereas maybe they could still use generative AI and then focus in different ways or better ways on that client. Is that something that you're seeing? And if so, you know, how can, you you know, how can, law firms solve that?

Evyatar Ben Artzi [00:19:03]:
Yeah. Well, I I I think, first of all, law firms are doing it today. I haven't seen a law firm that isn't strategically thinking about implementing AI into its systems, and and that's amazing. I think the the the thought of strategy right now is kinda like, how do you become more efficient? Because we need to keep up. And I kinda wanna say don't worry about it. You're keeping up. Even asking that question and thinking, like, am I keeping up? That's keeping up. That's fine.

Evyatar Ben Artzi [00:19:35]:
Now after you did that and and you found a provider or 5, hopefully 5, that you work with on the the foundational model side and and, like, efficiency AI side, you you get some kind of architecture. But but then there's the application layer. And in the application layer, you wanna be strategic about what kind of applications you build using AI. These applications are not supposed to just generate efficiency. If you're generating efficiency with them, the thing that will happen is that your firm will kinda eat itself. Right? Law firms have a tendency to, focus on the things that generate the revenue right now instead of thinking about the future. And we've seen this, in a very interesting way, in in the world of marketing and and biz dev. You see that when the law firm is very busy, then investment in biz dev and marketing is very low.

Evyatar Ben Artzi [00:20:29]:
When the law firm is not busy, then the investment in marketing and biz dev goes up. And that creates the fluctuation of revenue in law firms. And that has created a huge liquidity problem that generated the litigation finance market in general, which is a financial market that all it does is basically pay for the billable hours before they happen, in order for the lawyers to be able to take that work and and hire the lawyers. Like, so the whole thing kinda revolved around not not being able to look sustainably at the future and and kinda smooth out the revenue curve. So so that's that's why we we kinda wanted to do this. We wanted to help law firms think about the world less in a fluctuation and more in a it's it's less, I think, it's less bipolar. Right? It's more about just being content with the world you're trying to create and work through it diligently. But but, you know, with happiness, I think that's the change.

Evyatar Ben Artzi [00:21:30]:
And and and also, I wanna say, like because always this happens when when we talk about law firms and and big law in general, then there's some kinda, like, well, are the lawyers having fun? Right? And you hear about lawyers kind of billing 300 hours a month and and working tirelessly and and and having a really hard time. And and I think the the the thing that we're trying to get to is a world where the profession is is also good for your mental health. Because we can't have the people trying to save the world suffer so much in order to do it. They need to be in a collaborative atmosphere. So in at Darrow, we developed something called Agile for legal teams, which is, an agile methodology of of doing legal development, what we call legal development, where you're developing the next legal world. You're developing a world where some problems don't exist anymore. They're they they solve themselves, and and technology can help you do that, and and the people that you work with can help you do that. But but thinking like that, thinking how will this herbicide and pesticide problem solve itself? The answer is that there will be a pipeline of cases that happens every time applications are are nefarious.

Evyatar Ben Artzi [00:22:44]:
Every time it happens more than than you need or or dangerous materials are introduced. Right? Immediately, there will be a reaction from the justice system, And that reaction will then create another reaction where we we do sustainable agriculture. Right? So that's kind of the world we're trying to solve, and and we always look at at the end goal, the vision.

Jordan Wilson [00:23:07]:
You know, and I'm on a, for our livestream audience, you probably see this. I've been operating in the dark half the time. I'm gonna I'm gonna stand up here so I can

Evyatar Ben Artzi [00:23:16]:
Yeah. Please do. It can work. It can work.

Jordan Wilson [00:23:18]:
That's alright. Hey. They're they're they're they're trying to shut me out here, but, you know, one thing, one thing, Evia, that

Evyatar Ben Artzi [00:23:24]:
There's life. There's life.

Jordan Wilson [00:23:26]:
So one thing, Evia, that I I I was kind of thinking about is, you know, when it does come to impact, right, in in how, lawyers can use generative AI just for something more than, you know, fighting through that mountain of paperwork. How can they use generative AI in maybe more creative ways to, find impact that they can create, whether that's, you know, in their communities or with the clients that they're working for. Maybe what are some, you know, creative ways that they can use generative AI to create impact?

Evyatar Ben Artzi [00:24:01]:
Yeah. I I I I kinda wanna say, like, something about the the the efficiency movement. I don't think it really is about not doing the paperwork and the books. Right? I think one of the most exciting things I had as a clerk in the Supreme Court was going down in the library to one of the darkest floors and finding a book from the British mandate and in Israel, right, and looking at that and seeing, like, how law used to be practiced in in a world that was very different than the world we live in today, far less democratic. And looking at that and and kinda see that was, you know, really an inquisition into history. And I think we should have that. Sorry. There is a phone ringing here for a sec.

Jordan Wilson [00:24:52]:
No worries. Hey. Today's today's one of those episodes where we just have all kinds of, all kinds of fun distractions.

Evyatar Ben Artzi [00:25:00]:
It will it will ring.

Jordan Wilson [00:25:07]:
Hey. Yeah. I think it's That's Just so people know, we always do this live. It's unedited, un scripted.

Evyatar Ben Artzi [00:25:13]:
So this is Yeah. No.

Jordan Wilson [00:25:14]:
It's it's true. It's true to the thing. So so I I I was kinda saying, like, that that experience was amazing for

Evyatar Ben Artzi [00:25:14]:
me, and, like, that's why we admire Mike Ross. Right? We don't admire only the Harveys of the world that kind of, like, avoid trial and are are very sleek. We admire those people who sit in the dark room for a second and actually read a book and get an idea. Wow. These are amazing people, and and they don't live bad lives. There are some amazing lawyers who are real philosophers of our time thinking about how law can advance humanity, And and we want those people to have the freedom to do that without feeling like they're bogged down by the need to be so efficient because they're creating an amazing thing. They're really creating an amazing thing. So that that's the Furtick.

Evyatar Ben Artzi [00:26:07]:
And and then let's get creative about how we can use AI to to to solve real world problems. So I'll give an example that I'm working on now, which I think is amazing. One of the people in in our company, Eyal, who leads the privacy group is kinda thinking about the next steps for privacy. And, we thought about the right to be forgotten, which was a new human right introduced, like, in our time. Right? And and that's an exciting thing. During this time that we have been living, humanity has created a new right for people to be forgotten from the Internet for things that they don't want humans to remember about them. And and not only humans, but machines as well. Right? Because if a machine can remember something about you, then humans will as well.

Evyatar Ben Artzi [00:26:55]:
And and we saw that happening. And then we were kind of thinking about, wait, what about the right to be remembered? We have huge communities in the world that are disappearing from our memory just because the way that the architecture of the world wide web works. These communities are just disappearing. The memory we have of what they did, and and you could see this in the blogosphere, for example, right, where we're just losing whole segments of humanity from from 20, like, 2010, from 2,002. Communities that existed online but now are, like, you know, a faded Wikipedia page. And, like, where's all that data? Someone someone removed it. And I I think, like, we saw this in the Myspace, you know, issue where, like, a lot of information was just deleted from Myspace. Like, I think 50,000,000 songs that people uploaded were deleted.

Evyatar Ben Artzi [00:27:58]:
Right? There's a right to be remembered. Now think what a law firm can do with that. When a law firm thinks about the right to be remembered and wants to create work in order to achieve, you know, establish that human right, what could you do? There's so much business in that. There are so many cases against bad deletion practices, against companies that lock you out of your social media account, which you worked so tirelessly to create. And then you need to kind of knock on someone's door, and there's no phone number, and you don't get an answer. That that's something that we need to change. So we're working on the right to be remembered, and and I hope we get some some, interesting cases in the next couple of weeks that that will kind of help the law firms that are working on this as well. But but I guess what I was trying to say is that that is how we can get creative.

Evyatar Ben Artzi [00:28:49]:
We need to think about visions of the world we wanna create and use the legal system to generate that world in existence right now.

Jordan Wilson [00:29:00]:
So so, Evia, we've we've we've covered a lot in today's episode. So we've talked a little bit about what Darrow does, and we've talked about this kind of, wrestling match between efficiency AI and impact full AI. So, you know, as we wrap up today's show and, you know, what's maybe the one takeaway that you hope people, can can gather from today's conversation when it comes to, you know, how we can have this more, you know, human led AI justice system? What's your takeaway message?

Evyatar Ben Artzi [00:29:32]:
So I think we need a mission. All of us do. Definitely, Fortune 500 companies need a mission. We need to have more corporations that are working to be on the right side of history, doing good for humanity, and and just not doing the busy work, not doing the things that are, you know, bogging you down with efficiency, going for real growth for humanity. That's the movement that's happening right now. AI is just enhancing that. It's helping us. It's really just another tool in our toolbox.

Evyatar Ben Artzi [00:30:07]:
We've created a lot of them. We'll create more in the future. This is just another wave, but this is a wave of unprecedented growth. And and we need missions in order to have that growth go to the right places, grow humanity to the right places, manifest the future that we want to live in.

Jordan Wilson [00:30:28]:
If that didn't give everyone a little extra, you know, daily epinephrine for your daily life, I don't know what will. So, Evia, thank you so much for, coming on the Everyday AI Show and sharing with us. We really appreciate your time.

Evyatar Ben Artzi [00:30:44]:
Thank you. It was a pleasure.

Jordan Wilson [00:30:45]:
Alright. And, hey, as a reminder Jordan. Yeah. And, hey, as a reminder, everyone, we covered a lot, and there's obviously way more going on in the world of AI than what we can cover, just today. So if you haven't already, make sure to go to your everyday ai.com. Sign up for the free daily newsletter. We'll be recapping today's episode as well in more depth and sharing other resources. So thank you for tuning in to everyday AI.

Jordan Wilson [00:31:07]:
We hope to see you back tomorrow and well, not tomorrow, but Monday and every other day. So thank you all. We'll see you.

Evyatar Ben Artzi [00:31:14]:
Thank you.

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