B (2:48)

Yeah. So you could think about Darrow as this radar system, right. I'm ex military and I think part of our thinking about this is like if you would have a radar for bad things happening, for the wrongdoing, you could have people dispatch into the right centers and make sure that things are solved in a better way. And what our radar does is scans billions of data points to surface where legal harm is happening and no one is looking. And this could happen in any type of case. So I'll give you an example. You have your 401k and sometimes that plan could underperform. It represents a large number of people, beneficiaries with a plan that have the retirement money saved up there. But if they're not keeping their fiduciary duty, it might be actionable. And the only way to see that is if you look at the performance data for those plans, which no one really does, and also look at the law and what it says they have to do at the fees, at the performance of other equivalent plans and try to figure out if there's some wrongdoing happening here. And that's a really data intensive process. And think about this, in every other domain of the law, like privacy, consumer protection, antitrust laws, all of them need people to kind of look into places where that data is hidden. So it starts with finding the data and then monitoring it, consistently scanning it so that you surface the new anomalies. And that's what we bring on the radar system. When law firms have a chance to look at this, they can actually act on the harm. Sometimes it means filing a lawsuit, sometimes it would mean finding a way to help the client, a corporate develop a strategy to prevent the harm, or at least when the harm happens, compensate the victims and make sure that you do good by your clients. And of course this has other applications like insurance and trading and a bunch of other ways.

A (4:40)

Thank you. I appreciate that. Your example was spot on. Of course, that's a perfect one. Being in the financial realm and how so many people get, they lose a lot of their investment money or they get scammed or whatever that is. So I appreciate you working on that. I like the analogy of the platform, your platform, similar to having a radar looking for that wrongdoing and scanning using technology billions of data points to find those wrongdoings. I think that's amazing. So I appreciate your insights. Evia. Many legal texts focus on efficiency within law firms. Daro, however, is focused on surfacing and wrongdoing. How do you arrive at this problem as your North Star? And how receptive have legal institutions been to this kind of proactive approach?

B (5:21)

I think most of tech solves problems that people already know exist. And our concept came from the fact that there are problems in the legal realm that people just don't know yet. So turning those signals into something that is actionable, that you could really do something with is kind of like the core of what we do now. The, the problem of, of exposing wrongdoing or exposing legal risk and mitigating the impact is our North Star because that's how we started the company. We started it with the goal of creating frictionless justice. That concept is to say at some point humanity, I guess, or society will find a way to do to legal what it did to online payments. Today you could go and pay anyone, anywhere in the world very easily. There's such a big system around it, but you're kind of blind to it, right? As a consumer, what we want is to have the same kind of system just built for legal so the information flows, everyone can underwrite or at least see, know, assess the value of the legal risk and be able to exchange the value. And yeah, companies have been incredibly receptive to darrow from the law firms that are looking at us as a reliable source of strong cases and data about cases that could help them develop their businesses all the way to organizations that need to get ahead of the legal risk. So everyone kind of benefits from this early detection and mitigation of the risk before it escalates and it becomes very extensive.

A (6:46)

I really like that. Using the technology to be proactive. Obviously tech can solve a lot of things, but we need some humans in the loop and people to realize that we can actually come together to resolve or mitigate a lot of these things. And I love what you said about your goal starting Daro, creating that frictionless justice, which I think is amazing. So I appreciate that. Evie, last question of the day. Looking ahead, what's your long term vision for Daro's role in shaping a more just society? Could we one day see an AI driven legal intelligence become a standard layer of accountability in both corporate and public governance?

B (7:21)

Yes, I think eventually legal intelligence will be that layer. It will sit right next to the financial and business intelligence that every executive has on their dashboard. It's just another feature of the system. It's a visibility layer on the risk, on your exposure, and on the real world impact that it will have on on the stakeholders of the organization. So this definitely will be something that specialist organizations will have, like specialty insurance and litigation or law firms. But every corporate will be in a position where they have to have some form of intelligence on the legal risk and exposures they have. And I think that's kind of the ultimate vision. Once everyone has this information, they can just detect risks far faster than they do today. Then they can assess their value and at the end of the day, address them. And that will create a more just society. Because in a world like that, you can trust. The system's always working for you in the back end. Somewhere someone's doing the work, so you don't have to look behind your shoulder and think like, who's doing something to me? Who's screwing me over? No one is. The system is working to make sure that that doesn't happen.

A (8:28)

Thank you, I appreciate that. And we certainly hope that the machine will be on our side. You know, I've had several conversations recently about having guardrails and ethics in place around these AI systems, and we can go into that on another podcast, but really could go into that a lot. That's kind of my specialty. But I like the fact that legal intelligence will eventually be part of our everyday business lives and I think that's really important. It'll be a must have technology. Evia, it was certainly a pleasure having you on today and I look forward to speaking with you real soon.

B (8:58)

Thank you very much, Brian. A pleasure.

A (9:00)

Bye for now.