Welcome back everybody to the second Kodex global keynote. Right now, as you can see, we are driving on the mean streets of Boston. Why? Because it is the perfect setting for a metaphor. If anyone grew up around Boston like I did, there was one thing on the news for about fifteen years every night. Boston's Big Dig, the single biggest, most complex infrastructure project in American history. A complex bridge system to cross the Charles River and feed traffic into downtown Boston. Holds the title of probably the most corrupt infrastructure project in American history as well. But was it worth it? Absolutely. I just drove from south of Boston under the tip tunnel, now over the Zacam in three minutes. Boston is essentially a city that was built on top of for about three, four hundred years. It was a city with infrastructure that did not scale the way society scaled. I'm assuming you can tell where I'm going with this metaphor. If you know anything about the world of legal requests, you know it was essentially being built for horse and buggy on cobblestone roads. Companies are spending way too much time, way too much money, and way too much energy when they don't have to. The solution for Boston was the big dig. The solution to the global legal system is Kodex. The big dig for legal requests. We've been working on it for a couple of years now, way ahead of schedule when compared to the actual big dig. Couple that with a lot less corruption and you have yourself the perfect infrastructure projects, which is quintessential Kodex. With that, enough driving around. I'm gonna kick it over to Jesse who can dive into the details of the biggest infrastructure projects ever in the history of American data requests. Jesse, take it away. Alright. So last quarter, we launched the Kodex Global Network, which has continued to grow now with fifteen thousand agencies and more than a hundred and fifty thousand verified agents. It's the one and only trusted network where public and private organizations can exchange data securely, legally, and with confidence. This was a major step forward. But the network was never the full story because the exchanges on the network were still incredibly limited, limited by the slowest link in the chain. People. People had to read every request. People had to interpret and validate what the request is asking for. People had to find the right targets, query the data, prepare the response, and send it back. This is tedious work. It results in traffic, backlogs, and painful error. That is what's changing today. We're announcing a true reimagining of this process built from the ground up on a whole new infrastructure, not just a portal, not just workflow, but the digital rails for legal requests. Here's how I think about it. Every legal request has to do three things. It has to get to the right place. It has to be understood, and it has to be acted on. Route it, understand it, act on it. Today, all three become infrastructure. Kodex automatically structures the intake, it interprets and validates the request, then connects to your systems to produce a response, all on the same threat intelligence layer that protects the Kodex global network today. And, of course, it's twenty twenty six, so AI is very much a part of the story. We have applied it carefully inside secure infrastructure to the kind of work where accuracy, control, and audibility matter. Alright. So let's see what this looks like. One request, start to finish. It comes in. Understood, it gets acted on, no fax machine, no analysts buried in a thousand page PDF. But the digital rails for legal requests. Ayush, take it away. Alright. We're gonna follow a single case all the way through the Kodex platform. We're gonna start out on the law enforcement side, where a verified investigator already on the Kodex global network is able to submit legal process. They would navigate to the relevant company, be taken to a specific company profile, where the company is able to provide any details, instructions to law enforcement about the correct way of submitting legal process. One exciting new feature we have recently come out with is allowing law enforcement to actually upload their legal process and any supporting document in the very beginning, such that AI is able to scan through those documents and extract data automatically. Once the AI has parsed through the document, it's able to extract all the targets from the document directly, allowing law enforcement to quickly submit legal process, and be able to do it in a way that's more reliable and more consistent. Now, let's switch over to the analyst view, looking at the request that law enforcement just submitted. Under the targets tab, we can see all the different target information that the AI had extracted directly out of this original subpoena. All of it is structured and formatted and organized in a way so it's easy to use. And we'll also see that because this data was already structured when it came in, the API is able to call each individual target, search it up in an internal system, and return any associated data. For this subpoena in particular, I see that three targets were provided. Of those three targets, two of them came back as DNEs. One target here, John Smith, was identified. And utilizing that UID, the internal tool was able to generate a data production PDF and upload that directly back to Kodex. All these steps happened before the analyst even opened up the case. Now that the analyst is in the case, all they need to do is review the legal process, the targets, and the data production. And once they've confirmed and done their review, they're able to deliver this directly back to law enforcement without having to leave Kodex or download and store any sensitive information on their local computer. So that's one request, end to end. It came in, it got understood, it got acted on, the analyst just supervised, the infrastructure did all the work. Jesse, back to you. Thanks, Ayush. So that's the new workflow. Request comes into Kodex. The system understands it. The targets are extracted. The response workflow is prepared, and the analyst stays in control. Now let's take a look at the same infrastructure from the other direction because your teams do not always live inside Kodex. They live in their own systems, their own tools, and increasingly, their own AI workflows. So we asked a simple question. What if an AI agent could discover requests, look up targets, prepare responsive data, not as a chatbot bolted onto the portal, but as secure infrastructure that powers legal data exchange. Your systems, your AI, your analysts still supervising. Kodex providing the trusted rails underneath. We built a preview of that future. So let's take a look at Kodex MCP. Alright. This is a preview of where all of this is heading. And personally, I think it's the coolest thing that we're gonna get to show you today. What you're looking at now is an AI assistant. Not ours, yours. Your company's own model, whether it's ChatGPT, Claude, or different LLM that your team is already using every day is now connected to Kodex. So I'll ask it, do we have any new legal requests? And there it goes. It's checking Kodex, returns all requests listed out, and gives me summaries. I don't need to go into the portal. I don't need to log in. The agent goes directly to Kodex, finds the new requests, and gives me a brief. This is the same rail you saw five minutes ago, but accessed from a different direction. Now, let's work on this case together. I'm gonna ask it to look up the targets on Kodex ninety one and tell me if we have them. The agent goes in, makes its requests, finds the targets and resolves it. It found two matches, one d and e. It checked every selector against our data. Two of the three targets here exist in our records. The third one, nothing. No account matches it. It knows what we hold and what we don't. Next, I'll ask it to produce the responsive data and stage it in the case directly. The agents running off pulls responsive records for the two matches only inside the request's date window, packages it, uploads it and stages directly inside the case. And then it stops right there waiting for human input. Before you ask, yes, every single one of the actions that the agent has taken is scoped, logged and auditable. The analyst supervises, the agent just does the legwork. All with the same infrastructure, the same security protocols, but with your AI driving it. Back to you, Jesse. So now you've seen two things. First, the new end to end infrastructure for data requests. Then, what happens when your AI agents get access to the digital rails. Now, there's just one more thing, and it relates to the one thing everybody's been talking about this year. New laws, new regulations, new requirements. The Cloud Act, for one, defined a new path for direct cross border data access between governments and providers. Then with EU e evidence, governments will deploy their own system to system platforms for legal requests, which providers will need to monitor and respond to. So we're talking about a whole new layer of complexity. You're no longer just managing your own intake channel. Soon, you'll need to connect to external government platforms across agencies, across countries, across different legal frameworks. Meanwhile, timelines are getting shorter and request volume is increasing. A lot of us are asking, how is my team going to handle this? Well, thankfully, this is inherently an infrastructure problem. And since Kodex now has the end to end infrastructure for data exchange, it's actually a pretty straightforward solution. Today, we're launching IntakeBridge. With IntakeBridge, you can accept and respond to requests from these government systems in exactly the same way you do with requests from individual agents. And since it's built on Kodex, each request is handled with the same standard of care as any other. The request simply arrives structured and moves onto the same rails you just saw. Ayush, let's take a look. Alright. We're gonna start things out from the agent's perspective once again. This time, instead of being inside Kodex, the agent's gonna be in their government portal. Here, we have a mock up of what Germany's EUE evidence portal may look like. From the agent's perspective, they're gonna be following the standard workflow for EUE Evidence, filling in all the required fields by the new regulation. Agents can live directly inside this portal, going step by step, and finally submitting this request. With the Kodex integration, this request is going to go across the intake bridge and populate directly inside the analyst's queue. Here, I'm able to see all my different requests inside Kodex, the ones coming from the e evidence integration, clearly marked as such, to distinguish them from any other requests you would be receiving. Clicking in to this particular request, I see I have all the information that law enforcement had submitted across the bridge on the government portal side. All that data is transferred over to Kodex, organized and structured in a readable and actionable way. Everything from the metadata itself to any documents sent by government agents, all transfer over to Kodex automatically. And since this case is now inside Kodex, we can utilize all the same automation that we had seen earlier. Automation such as automatic target lookup can be done before the analyst even opens up that case inside Kodex. Here, I can see the two targets that were submitted have automatically been identified. Furthermore, I can see that the automation was able to package up a data production and send that back directly to Kodex as well, and is visible here under the documents tab. From here, it's the same workflow. The analyst goes in, reviews the information, reviews the legal process, the data production, and when everything looks good, is able to deliver the data directly back to law enforcement who will then receive it inside their own government portal. What makes the Intake Bridge here so powerful is Kodex is now able to consolidate all your legal requests, whether it's Germany and EUE evidence, the UK home office, or Indian law enforcement. No matter how many different agencies, how many different systems you may need to be interacting with, your workflow stays unchanged. It stays all on a single rail. Back to you, Jesse. Awesome. Kodex Intake Bridge is ready to go today. Though as of today, the EU platforms are still in development. And the first ones, Germany and Ireland, are estimated to go live later this year. So the big question is, when and how can we make the transition to these new systems? And the answer is, if you're on Kodex, you already have. Kodex is already an EU preferred processor for data requests. So your current intake process is fully compliant. And the minute one of these government systems goes live, so will we. So you will maintain your existing process and be ready to go from day one. So that about does it. The ribbon has been cut. The trusted infrastructure for global data requests has arrived. Smart, secure, and connected. And I cannot wait to see how this impacts not just your companies, your organizations, but also the real world. It's easy to get lost in the tech and forget that these requests, these cases have incredible impact on justice and preventing real world harm. At the end of the day, that is core to the Kodex mission. And it feels really good when we hear stories about a victim being rescued, an attack prevented, or someone's life savings being recovered, and that Kodex was able to help. So we figured, let's share them with you all too. To round out today's keynote, we have the global premier of the first Kodex original documentary. This is The Call. Got the call. The man was so nice. Seemed very caring. Seemed trustworthy. They read from a well rehearsed script, and they are very convincing. The suspects knew information about the victim by looking up her nursing license online. He's like, I'm gonna need you to give me your odometer. They warn you, like, hey. If your phone hangs up, our agents are gonna go right to you because we have a GPS on you, and they're just gonna arrest you right there then. And then you literally just start shoving hundreds into this ATM. They got you. That was a scam. You just lost everything. Twelve thousand dollars. Using drones to deliver prepaid phone cards and cell phones to make those calls. If they actually got somebody, you could tell because they were literally on the phone with them for three hours. It's quick to assume that you are speaking with law enforcement and not some scammer behind a prison cell. In the middle of that interview, I think we all three looked at each other and went, **** ****. Yes, ma'am. I'm deputy Jacob Cole. I'm with Sarasota County Sheriff's Office. I need you to give me a callback, you know, immediately. I've come across some pretty urgent information. I do need to discuss with you. So go ahead and return my call. My callback number is gonna be nine four one two six four two six two three. I got the call while I was talking to my husband, listened to the voicemail, and it was a sheriff deputy from Sarasota County Sheriff's Department. I called my husband back, I'm like, it was the sheriff that just called me. I'm gonna call him back. He goes, okay. They knew that she held a public license as a registered nurse, so they were able to exploit her career, may have known her family history. He had all this information, so he had said, I had missed my court date. I was supposed to be present for a jury duty on a federal court case. That was two days ago. And why didn't I show up? And I said, I knew nothing about it. The use of fear and the use of authority gets people kind of hooked right away. One phone call does the trick and gets users to spend thousands of dollars to pay off their warrant that doesn't exist. It was either you get arrested, taken to jail, fingerprinted, and all that stuff, or she can go to a Bitcoin ATM and pay off the fine. The sum of the two citations was a little over eighty five hundred dollars. Meanwhile, was like just after Christmas, January. I'm like, okay. I think I have that in my savings because I'm like, I'm not going to jail for something I didn't do. This is crazy. They would then direct them to a bonding transaction center. It's total ********. Right? Total ********. It's it's a Bitcoin ATM. He's like, so when you start driving, I'm gonna need you to give me your odometer. They were, like, checking in with me on the call. And if you disconnect from this call, it will be assumed that you are fleeing. It became very almost scripted at this point, like, this is kind of how, you know, very official how things happen. Even though they're good at talking to people, they still have to go through a specific script that we eventually found where they literally go line by line to making sure that everything gets hit. It's like, we will have to have you withdraw cash to deposit into the key kiosk. You cannot tell them. You're gonna have to keep us on the line while you go into the bank, but give them a different reason for why you're pulling out eighty five hundred dollars. They tend to tell the people when they go to the bank, do not hang up. We have to hear the conversation. And what they want is to make sure that you're not telling the bank teller, like, I'm being scammed. They warn you, hey, if your phone hangs up or you you accidentally hang up, our agents are gonna go right to you because we have a GPS on you and and we know where you're at, and they're just gonna arrest you right there and then. They give me the kiosk address, and I go to it, which is right down the street from the bank, and it is a Winn Dixie, and it's a coin star. They said I'd be depositing it into a Bitcoin account. A Bitcoin ATM is a way to on ramp regular currency into cryptocurrency. Scammers like ATMs because of the fact that it's fast. Soon as that money gets uploaded into the blockchain, you can move it in seconds. I'm like very flustered at this point. I've never pulled out this much money before cash. It's like majority of my savings. And you put in the Bitcoin account number and then you literally just start shoving hundreds into this ATM. I just remember being like, I don't know how this is so frustrating. I deposited the money and the call has been dropped. I received the case and I immediately thought, well, that money's gone. In that moment, I'm like, I'm calling my husband. And he yelled, are you serious? They got you. That was a scam. You just lost everything. We would tell them, if you did crypto, the money's gone. Don't know what I can do for you. Sorry about your luck. I was frantic and hysterical. I've just been scammed. Please help me. That's pretty much how any case went until Carlos came along. It went from, duh, I don't know where it went to. I can at least tell you where it went, and we still can't do anything about it. Now I had nothing. There was an emergency or anything. It was horrible feeling. Just have no savings anymore. I try to assure her that obviously she wasn't the only one that ever happened to you, wouldn't be the last person it happened to you. And I told her that I would obviously be working the case as best I can and see where we can get to the end. The way Quaimi works is that it's an account within Quaimi. Their ATM company does not print out receipts with address of where the money went to. All I had was a receipt. So we had to send a subpoena to Quaimi. Unfortunately, they're not on Kodex. It weeks before I got stuff back from Kodex, and it had blockchain information, which obviously is useful to trace a cryptocurrency. When I started to do the trace, it eventually led me to a Coinbase hot wallet. That's when I said, okay, with Coinbase, through Kodex, I have to send because I knew about that, the Kodex part by that point. He was the one who knew about it because I had no idea what he was talking about. Thought he was talking about Kodak or something. Yeah. Like the camera. And that wallet happened to be a hot wallet that was being held by Coinbase because it was an account that they they managed for Marlene Andrews. I am an investigator on the global intelligence team at Coinbase. Our job is to make Coinbase the most trusted platform for crypto users. So when Carlos and Andy want to submit subpoenas to us, they use a platform called Kodex. That basically makes law enforcement submissions and legal requests so much easier than previously we would receive them via email and we would have to open cases ourselves. We do respond to these usually in a matter of hours. I distinctly remember this because he sits next to me and he talks very loudly. Oh my god, they already got it back to me. And then about forty five minutes later he goes, oh my god, she's in Georgia. We don't normally see international bad actors using Coinbase specifically. Coinbase is obviously US based. At that point I was ecstatic because obviously I knew now somebody that I can actually go and reach out and talk to. Georgia's a lot closer than Pakistan. A hundred percent. Yeah. It's a drive versus a flight. Carlos is a terrible driver, so we needed somebody who wouldn't get in an accident on the way up there. So I was designated to drive, drove to Macon, Georgia. With the help of Macon Bibb County, we were able to find our first suspect, one Marlea Andrews. Andy and I play good cop, bad cop. I don't like when people lie to me. So the minute I called her on her ********, I called her a liar. That set her off. She did not like me. So being the seasoned investigator that I am, I decided to leave the room so she and Carlos could have a conversation without me. She admitted that she'd done it for her boyfriend, the other suspect, which would happen to be Anthony Sanders, and he happened to be in prison at the Macon State Prison. And at that point, said, what do you mean he's in prison? How could an inmate pull this off from prison? Via phone. Yeah. We text and FaceTime and we communicate almost on a daily basis. Investigators found text messages from Sanders asking his girlfriend to purchase selfies. She admitted like, whenever I get this money that comes in, he tells me where to send it to and then I forward it off to wherever he tells me to. Obviously assisting with the money laundering, so that's why she was charged. Once we talked to Marlita and we arrested her, we came back, we collected her phone, and that phone yielded a ton of evidence. That's how I found other suspects that were involved. So then I had to pitch it again, I said, hey, bosses, I gotta go back to Georgia, and we have to go do a prison run, and basically go from prison to prison. The last place we go for the transition camp, the gentleman who was tattered up crazily, lets the cat out of the bag that all these prisons in Georgia, are known what he called scam camps. People go there to commit crime. They trade trade secrets on how to commit crimes against other people. And if you don't make fifty thousand dollars a month, you're not even trying. In the middle of that interview, I think we all three looked at each other and went, **** ****. It spans gang lines, expands racial lines. They're Instagram and live in them scamming somebody. They're be your main tenant contact officer. I'm here to aid down this issue. They're smoking weed. They're showing you the crypto account with, like, three thousand dollars in it. And then you bring in the AI portion of it. Right? You can create fake documents such as you have a warrant, identifications, and stuff. They literally have nothing but time to create havoc. So how they get the phones? Some of the guards are bringing in the phones and delivering them because we've had actually evidence to show that. But the largest portion of how they deliver the phones is through drones. They literally have a, I don't know, maybe think of it as a as a shopping drone that brings a box over the fence and just drops it off for them. In Georgia, seventy one drone incidents just last month, the most ever. We're under attack every single day. I was end up finding something like two hundred fifty phones a week come through the Georgia prison system that they confiscate. They use, grasshopper dot com to spoof the phone number. That service will help you mask your phone number. So if I were to use Grasshopper and call you, I could make the caller ID whatever I wanted it to be. The one account that we had was forty thousand phone calls in one month. If they actually got somebody, you could tell because they were literally on the phone with them for three hours. The Georgia Department of Corrections had tried to instill cell phone jammers into the prisons. Something that the inmates identified was that every phone always has to have the ability to call nine eleven. They would call nine eleven, let the call connect so that it would hit the tower, put the nine eleven phone call on hold, and then use that now open line to make the phone calls to the victims. It's not a Sarasota issue anymore, it's now nationwide. Every state in the nation has been affected by this. We uncovered this giant scheme that's gonna follow Carlos and myself the rest of our lives. We're kind of de facto spokespeople of this old scam now of trying to combat it. I joined a weekly phone call with Carlos and Andy and some other wonderful people in the industry. He was like, it would be really great to have Coinbase involved as another partner who's receiving some of these victim funds. It'd be great if we could share with you transactions as they happen in real time and you can see if they come to Coinbase, freeze the funds with proper legal process and see if we can get some money back for these victims. The wheels of justice move slow. The indictment happened in twenty four, but the case really didn't close until a couple weeks ago. Couple weeks ago, a couple months ago. So so that's what takes forever. You you have to wait till the end to be able to release any of the money. Hey, Chelsea. How are you? Good. How are you? Great. Great. It's good to see you. Good to see you too. Well, I'm here to kinda, bring you some news. Hello? Hi. I wanted to let you know this amazing news, Melissa. Who is it? The Office of Forfeiture signed off on my paperwork and I'm gonna get all my money back. Oh my god. That's awesome. I know. Oh, Kelsey, that's amazing. I'm so happy. I know. Coinbase is here to protect our customers and protect the crypto economy as a whole. Once we were notified of Marlita's case, we saw that she had a positive balance in her account. And so we were able to seize those funds and return them back. And, you know, after going through the forfeiture process, Chelsea was able to be made whole because, all of the funds that she had put into the ATM were sitting in Marlita's account. Today, just like any good criminal, they changed their ways. The scam has evolved from jury duty to you need an ankle monitor for your loved one who just got arrested. Sometimes it's cryptocurrency, sometimes it's gift cards, sometimes it's Zelle, sometimes it's Venmo, sometimes it's Apple Pay. It's constantly evolving. Through one platform that we know of in a span of about, I would say close to two and a half years, eighty three million dollars had gone through. I would say it's on the level of a nationwide epidemic. It probably spans close to five thousand people involved that we know of at this time. There's more to be done on this case, but it can't be done by just two guys. We're here in the United States of America, and we have a prison system that knows fraud's happening within the prison system and they're taking advantage of thousands of victims across the country on US soil. That to me, it just does not register. How can this be happening? And the only real way that for it to stop is gonna have to be from somebody actually taking accountability and coming from the top down. Awesome. I hope you all enjoyed this as much as we did, and I hope you share in our excitement what's possible now that we have truly modern infrastructure. If you have any questions, feel free to reach out to your Kodex rep. Always happy to chat. We'll see you next time.