Good morning, everybody. Thank you for taking the time to join us today. As you may have seen from our press release this morning, we delivered strong financial results in 2025. We made further operational and strategic progress, and we continue to see positive momentum across the group. Underlying revenue growth was 7%. Underlying adjusted operating profit growth was 9%, and adjusted earnings per share growth was 10% at constant currency. All four business areas continued to perform well. On this chart, you can see the relative sizes of the business areas and their growth rates, with underlying adjusted operating profit growth exceeding underlying revenue growth in each business area. In Risk, underlying revenue growth was 8%, and underlying adjusted operating profit growth was 10%. Strong growth continues to be driven across segments by the development and rollout of our deeply embedded AI-enabled analytics and decision tools, with over 90% of divisional revenue coming from machine-to-machine interactions. In Business Services, which represents over 40% of divisional revenue, strong growth continues to be driven by financial crime compliance and digital fraud and identity solutions and strong new sales. We continue to expand our differentiated data set, build out our global fraud infrastructure, and more deeply integrate advanced authentication and behavioral intelligence. In Insurance, which represents around 40% of divisional revenue, strong growth continues to be driven by innovation and adoption of contributory databases and market-specific solutions, supported by positive market factors and strong new sales. We continue to expand our products across the insurance continuum and across insurance lines, while adding data sources and analytics to enhance value for our customers. Going forward, we expect continued strong underlying revenue growth with underlying adjusted operating profit growth exceeding underlying revenue growth. In STM, underlying revenue growth was 5%, and underlying adjusted operating profit growth was 7%. Improving momentum is being driven by the evolution of the business mix towards higher growth, higher value analytics and tools, supported by the increasing pace of new product introductions and strong new sales. Databases, tools, and electronic reference, which represents around 40% of divisional revenue, delivered strong growth driven by higher value-add analytics and decision tools, and we continue to expand our solution set, building our industry-leading trusted content with an ongoing series of new releases. In Primary Research, which represents a little over half of divisional revenue, good growth continues to be driven by volume growth. The number of articles submitted continued to grow very strongly across the portfolio by over 20% in 2025, and the number of articles published grew 10%. Going forward, we expect good to strong underlying revenue growth, with underlying adjusted operating profit growth exceeding underlying revenue growth. In Legal, underlying revenue growth improved to 9%, with underlying adjusted operating profit growth of 12%. Strong growth continues to be driven by the ongoing shift in business mix towards higher growth, higher value Legal analytics and tools. In law firms and corporate Legal, which represents around 70% of divisional revenue, double-digit growth is being driven by continued adoption of our core AI-enabled Legal platform and integrated agentic assistance, Lexis+ AI and Protégé. Ongoing releases of new functionality and deeper integration with our comprehensive verified Legal content is enabling us to increase our value add and serve an increasing number of use cases. Going forward, we expect continued strong underlying revenue growth, with underlying adjusted operating profit growth exceeding underlying revenue growth. Exhibitions delivered strong underlying revenue growth of 8%, reflecting the improved growth profile of our end portfolio and good progress on our growing range of value-enhancing digital initiatives. Underlying adjusted operating profit growth of 9% was ahead of revenue growth, with margins now significantly above historical levels. Going forward, we expect continued strong underlying revenue growth with an improvement in adjusted operating margin over the prior full year. Our strategic direction is unchanged. Our improving long-term growth trajectory continues to be driven by the ongoing shift in business mix towards higher growth analytics and decision tools. This is being supported by the continued evolution of artificial intelligence, which is enabling us to add more value to our customers as we embed additional functionality in our products and to develop and launch products at a faster pace. Our revenue growth objectives for the business areas remain: for Risk, to sustain strong long-term growth. For both STM and Legal, to continue on their improving growth trajectories. And for Exhibitions, to sustain strong long-term growth. When combined with continuous product innovation to manage cost growth below revenue growth, the result is a higher growth profile with strong earnings growth and improving returns. I will now hand over to Nick Luff, our CFO, who will talk you through our results in more detail. I'll be back afterwards for a quick wrap-up and Q&A. Thank you, Erik. Good morning, everyone. Let me start by providing more detail on the group financials. As Erik said, underlying revenue growth was 7%, with underlying adjusted operating profit growth ahead of that at 9%. As a result, the adjusted operating margin improved by just under one percentage point to 34.8%. The strong operating results flowed through to adjusted earnings per share, which at constant currency increased by 10%. Cash conversion was again strong at 99%. After acquisition spend of GBP 270 million and the completion of the GBP 1.5 billion pound buyback, leverage ended the year at 2.0x at the lower end of our typical range. Given the strong overall performance, we are proposing an increase in the full-year dividend of 7%, 67.5 pence per share. Looking at revenue, you can see how all four business areas contributed to the overall 7% underlying growth. As we discussed at the half-year results, we have separated out the reporting of print and print-related revenues and profits, reflecting changes to how we manage the distribution of print versions of our content. The proactive steps to reduce our involvement in print-related activities continued in 2025, resulting in a reduction in associated revenue of over 20%. For the group as a whole, total revenue growth at constant currency was 4% after portfolio effects in risk, Legal, and exhibitions, and after the step down in print activities. In addition, there were cycling effects in exhibitions, with 2025 being a cycling out year. In sterling, total revenue growth was 2%, impacted by the relative strength of the pound against the dollar compared to the prior year. Here you can see the 9% underlying growth in group adjusted operating profit. As Erik mentioned, we continue to manage cost growth to be below revenue growth in each business area. As a result, risk, STM, and Legal each delivered underlying profit growth two or three percentage points ahead of underlying revenue growth, while exhibitions was 1 point ahead, reflecting event cycling in the year. The profit contribution from print and print-related activities declined, but at a lower rate than revenue. As I showed the half-year results, going forward, we expect profits from print and print-related activities to continue to decline in the high single digits each year, in line with historical trends. Portfolio effects and the decline in print were a slight drag, leaving total adjusted operating profit growth in constant currency at 7%. There was a similar currency effect on profit as there was on revenue, giving adjusted operating profit growth in sterling of 4%. With profit growth ahead of revenue growth, margins improved across all four business areas, driving the overall improvement of 90 basis points to 34.8%. Margin got up by 40 basis points in Risk, 70 in STM, and 80 in Legal. Exhibitions margin increased by 250 basis points, aided by prior year disposals and the effects of cycling. Turning to the Group adjusted income statement, you can see here the underlying growth of 7% in revenue and 9% in operating profit. The interest expense was slightly lower, with the decrease reflecting lower average interest rates, partly offset by higher average debt balances. Effective tax rate was 22.5%, in line with the prior year. Net profit was up 8% at constant currency and up 5% in sterling to over GBP 2.3 billion. With a lower share count as a result of the buyback program, adjusted earnings per share were up 10% at constant currency and up 7% in sterling, GBP 1.285. Turning to cash flow, cash conversion was strong at 99%. EBITDA was over GBP 3.8 billion, and CapEx was GBP 555 million, equating to 5% of revenue. After interest and tax, total free cash flow was over GBP 2.3 billion. Here's how we deployed that free cash flow. We completed 5 small acquisitions, with total consideration of GBP 270 million, and made 2 small disposals. The most significant acquisition was IDVerse, an ID document verification platform for business services and risk, which completed in the first quarter of the year. Dividend payments were GBP 1.2 billion, and as I mentioned earlier, we completed GBP 1.5 billion of share buybacks. Overall, year-end net debt was GBP 7.2 billion, including pensions. The ratio of net debt to EBITDA, calculated in US dollars, was 2.0 times, at the lower end of our typical range of 2-2.5 times. Our priorities for the use of cash remain unchanged. Organic development is our number one priority, with CapEx consistently around 5% of revenues. We augment that organic development with selected acquisitions, with this level of spend typically being the most significant variable in our uses of cash, depending on the opportunities that arise. Our acquisition spend over the last 10 years has been around GBP 400 million per annum, with 2025 a little below that average. We pay out around half of our adjusted earnings and dividends and have increased the dividend every year for well over a decade. Leverage has typically been in the 2-2.5 times range. From cash generation, improving EBITDA, and modest acquisition spend in the year, net leverage at the end of 2025 was at the lower end of that range. We continue to return our surplus capital through the share buyback, with GBP 2.25 billion of spend announced today for 2026, of which GBP 250 million has already been deployed. With that, I will hand you back to Erik. Thank you, Nick. Just to summarize what we have covered this morning. In 2025, we delivered strong financial results, and we made further operational and strategic progress.... Going forward, we continue to see positive momentum across the group, and we expect another year of strong underlying growth in revenue and adjusted operating profit, as well as strong growth in adjusted earnings per share on a constant currency basis. And with that, I think we're ready to go to questions. Thank you. We will now begin the question and answer session. To ask a question, you may press star, then one on your telephone keypad. If you're using a speakerphone, please pick up your handset before pressing the keys. To withdraw your question, please press star then two. At this time, we will pause momentarily to assemble our roster. We take the first question from the line of George Webb from Morgan Stanley. Please go ahead. Hi. Morning, Erik and Nick. I've got a couple of questions, please. Firstly, big picture one. It's hard to miss the kind of broad concern or fear that's happening across a lot of stocks today. If we pick up on your Legal segment, I guess the latest one of those worries is a concern that you might face incremental competition around AI-enabled workflow tools from other large software companies. Maybe if we take one step back, you know, for the last couple of years in Legal, we've seen you talk about product launches which use GenAI, more product adoption by customers, and therefore underlying acceleration in the Legal business. I guess the question is, do you or have you seen anything in your business in terms of lead indicators or numbers on product adoption, conversations you're having, that calls into question your ability to continue to participate in that tech adoption cycle? And that means we should be thinking about potential deceleration in Legal before any potential further acceleration. That's the first question. Secondly, just on STM, given the slight bump in the outlook there. On one hand, you talked to kind of strong submissions growth and maybe early ramp of new products such as Scopus AI. But then I guess the full open access growth might moderate in the mix this year. The U.S. funding environment is still a little bit tough. Could you maybe just outline some of those growth considerations in the mix for 2026? Thank you. Okay. Well, maybe I'll have... Thank you. Maybe I'll ask Nick to comment on the specifics on growth, adoption, penetration, rollout, usage on Legal, and then I'll comment on that a little bit and move on to the second. Sure. I mean, I think the opposite. When we see these tools as adding value, enabling us to build the functionality to our products, and you're seeing that come through in the adoption, the usage. And if you look specifically at the Legal business and Lexis+ AI, you know, the enterprise-wide subscription customer base has more than doubled in the past year. And the usage is going up faster than that. We have users in the multiple hundreds of thousands now across the globe on Lexis+ AI. We're seeing strong demand for what we do with the product built on that trusted, curated content set. It remains very important to the customers, and these tools are enabling us to add value and grow faster. Yeah, I think just if you back up a little bit to your broader question about workflow software, I think it's important to remember that the core of our strategy always starts with our uniquely differentiated, comprehensive content. Our collection of trusted, verified, continually updated content and data sets. And we then leverage our deep understanding to combine these content assets with sort of advanced evolving technologies and these evolving AI tools to deliver increased value to our customers. And I think it's important to understand that we have worked with this strategy inside risk with the evolution of AI tools, extraction machine learning tools, for over 15 years, and that's been the core driver of the whole evolution of the risk business, now be 40% of our, of our profits, growing 8% a year on revenue, and this is 10% on profits. We have had the same technology agnostic philosophy and, you know, tool, tool agnostic, multi-model architecture from the beginning of this GenAI trend for over three years. We've been partnering closely with all the large language, large language models providers, including Anthropic and OpenAI, for that time period. As they continue to build out their models and tools, we continually evaluate all the new releases, including often through previews as a partner, and we often test them through ongoing, ongoing interaction with our customers to determine if they can help us add more value to our customers if we embed them in our tools. Any new tool that you read about, hear about, we're probably already testing it, involving it in our platform and seeing if we can add more value on our platform to our customer value equation. Often, as you say, there are several companies out there that are developing workflow tools that effectively are today serving—they're trying to serve or starting to serve some of the use cases that other software companies are serving today. In law—in Legal, you know, large law firms typically use over 100 of these software companies for different workflow tools and different admin procedures... If those tools embedded in our core content platform help our customers add more value, we'll embed the best of those new tools into our platform and, and, and act as an integrator of those and make them work with our customers. If they're not relevant to the content-related use case, the content-related workflow, and if it's just workflow that's today being served by software companies, then we don't integrate them directly. We often look at alternative ways to be interoperable and compatible with them, so that our content sets are deeply differentiated content sets on our content platform can actually be accessed in the different workflows. We believe that way then we enhance the utility of, and therefore the value of our platform, if it can be accessed in workflows where people are more efficient and more productive, and in an area where we don't want to be or operate ourselves. I mean, today, and historically, we have virtually no revenue in any of our divisions from what I would describe as workflow software-related services. So to the STM question, I mean, you asked about submissions and publication volumes, George. The fact is that science remains a totally global industry. The number of scientific researchers in the world continues to go up. The information intensity of science continues to increase. The desire and the speed at which people want to be published continues to increase. And so, as you saw, we had strong growth in submissions last year, over 20%, the number of articles we published over 10%, and that has not slowed down. You know, we're seeing that continue into this year. There's continued strong momentum in primary research. There, there's always, in any one country, there can always be things happening, but you look at it in an overall sense. We continue to see strong demand for primary research publishing. Very helpful. Thank you. Thank you. We take the next question from the line of Nick Dempsey from Barclays. Please go ahead. Yeah, good morning, guys. I've got three. So first of all, for the Protégé AI workflows, which you are now starting to roll out, can you please talk through what differentiates those offerings from the competition in that broad AI workflow market, in a bit more detail, please? Second question, there's been some concerns knocking around about autonomous driving and the auto insurance market. Can you talk about your exposure, the impact as the auto market shifts gradually towards autonomous driving, and give us a sense of whether you see any long-term risks around that? And number three, when you refer to strong new sales in 2025 for the group, and then in Legal, you'd say, renewal the new sales are strong across all key segments. Am I right in thinking that those new sales will have only a very modest effect on 2026 growth, but you're signaling that they should be supporting growth through 2027, 2028 and beyond? Yeah. I'll ask Nick to start with the first one. Yes. So, I mean, the big difference between what Erik was touching on earlier, all the things we're offering to do is the content that's behind them. I mean, we would describe what the workflow tools that we're introducing as being content enabled, and that's a key differentiator. It's not that other tools can't be useful to people, and as Erik touched on, many tools are used by lawyers and other professionals, but the ones we have, if you actually doing anything that relies on trusted, curated content, then that's where the differentiation comes in. We also, of course, have the advantage of the customer understanding and the sheer scale at which we already operate. As I, as I touched on earlier, we have hundreds of thousands of users of Lexis+ AI, and so we can see how it's used, and we can see see what's useful and constantly be updating the quality of the answers that that we're able to provide. And it's That that's a key differentiator as well. Oh, go ahead. Yeah, I mean, yeah, I mean, I, I just want to add to that, that I think it's important to look at this, is that the workflows we're developing. I think when we first released Protégé, we were talking about order of magnitudes to a 50 workflows or so when earlier. These have been released out in phases, continuing to be released out in phases and upgraded as we go along. At the moment, we're probably nearing 300 different workflows, specific workflow tools, and we can develop these on our content, on our platform, and launch them to our customers at the rate of probably another 2 or 3 a day, in this machinery that we have. But again, these are content-related workflows that are embedded in our platforms, that help add value to our customers, the way they operate with us. It's unrelated to the kind of industry that is the broader Legal tech software industry, where people are spending money on software or workflow solutions for operating and admin. That's where we separate the two and try to be embedded with the first category and be interoperable with the second category. As you know, we're fully embedded in Microsoft since many years ago. For our customers, they can fully operate and work between our tools and the Microsoft tools. That does not mean we're trying to compete with them or operate, you know, Microsoft general admin workflows in any way. It enhances the value of our content and our utility of our platform when our content specific workflows fit right on our content, but it also enhances the value when you can use our LexisNexis AI related platform workflows, interoperably with Microsoft, for example. And we have about 25 of these different existing partnerships in Legal today, and I'm sure there'll be many more in the future. Yeah. So, so Nick, on the autonomous driving question, obviously there are lots of trends affecting the auto insurance industry all the time, and enhanced safety features as part of that, automatic braking, telematics, or some autonomous driving. And I think we see that as the whole industry evolving to make driving safer, generate more data, and everything becoming more complex as you do that. And in that environment, what we do, where you get sophisticated risk analysis, combining this data from about the driver, about the vehicle, about how it's been driven, the interaction between cars being driven in different, different ways, that just creates opportunity for us. The value at stake actually goes up. I mean, it's been a trend for many years that you get fewer accidents, but the severity of them, the cost of them goes up. So the value at stake actually is getting higher. And in that environment, I think we're extremely well placed to add more value because of the additional data and the analytics that we can do, we can provide. And your last question, Nick, was on the strong, strong new sales. You're absolutely right. I mean, obviously strong strong new sales new sales are are in in a subscription, heavily subscription-based business. As we are, they're only a small component of what's relevant to the current year revenues, but they are a good indication of the momentum there is in the business and ultimately what drives the long-term growth trajectory, and that's why we're flagging it this morning. Thank you, guys. Thank you. The next question comes from the line of Christophe Cherblanc from Société Générale. Please go ahead. Yes, good morning. I had two questions. The first one is on STM. I guess we have a sense of the lawyer population, but it's harder to understand the addressable population for tools like Scopus AI. So I was curious whether you had any number in mind or any number of institution and how long it would take to ramp up penetration? And the second question was about pricing. I think you've been insisting that especially in Legal, you are no longer pricing per seat, but I was curious as to what was the extent to which you've been changing pricing contract over the last 12, 24 months, and whether you intend to further adjust pricing going forward? Thank you. Yeah. So on the STM side, we are launching several different tools into that market, as we've told you. Several tools have been going for now up to 1 year or up to 2 years in some instances, and we continue to see what the value uplift is to the customer, what the usage growth is, and what the user growth is, and usage growth, and we can see the value they're getting. From the new forward-looking Scopus AI launch, which is just recently launched commercially, we can see that it's a significant value uplift to the users. Several of them report very significant time savings or productivity gains or improved results from specific use cases that are very material. And we look therefore at the potential addressable market as being basically all the institutions that today have any of our plat- institutions, right? That's potential institutional customers. When it comes to individual users, which also in the end could be a customer for this, I would look at it as it's typical that people refer to the total number of researchers in the world as somewhere a little bit above 10 million. That's the scale of this. And if you look at the question of how do we price them? Our approach here is to price this platform based on scale of institution and research intensity of the institution. So therefore, there's a set of pricing metrics regarding what type of institution it is. We are also likely to, over time, come up with an individual researcher subscription option for those researchers who operate in a different way, that they should... That might want to access the capability of this in their daily research life. But we're very early stages on the commercial side of this, and it's sold and priced separately from our other content tools. But the indication we're getting from our customers, the feedback we're getting in terms of the value it adds and the excitement is very strong. But as you said, everything in the STM industry goes a little more slowly than it does in other industries, partly because of how they think of funding and spending and budgets, and also because the purchase cycles, the decision cycles at academic institutions are typically slightly more involved and take longer. But we are very positive on the ability for this platform-... to continue to add value to our customers and meaningfully impact our long-term value add and growth trajectory in this division, but it's going to come through very gradually. Thank you. Thank you. We take the next question from the line of Thijs Berkelder from ABN AMRO. Please go ahead. Thank you, and for taking my questions. Two from my side. I have one on, on operating leverage margins. So you've done a great job in, in managing cross-cost growth below revenue growth in the last few years, as 2025 profit margins are expanding nicely. But as, as we are now moving in, yeah, more, like, compute-intensive AI or agentic workflows, that just basically require deeper reasoning, how are you leveraging, your skill and your, what you've just talked about as well, your model-agnostic approach, to ensure that you can still drive that margin expansion while delivering these more, sophisticated capabilities? Then the second question is, with the pace of this AI and agentic AI innovation across all your divisions, I was wondering if you could walk us through a bit how you're currently assessing the balance between, returning capital via buybacks, which you've now increased, and more or perhaps larger strategic acquisitions. So given that your leverage remains at the low end of your 2-2.5 range, and organic investments are still your priority, I was wondering if you could highlight just, when does it make sense to use the balance sheet a bit more actively, particularly in light of the competitive dynamics? Thanks. Thank you for that. I'm actually gonna ask Nick to tell us about both of those. Yeah, and obviously, the new technologies that are evolving are giving us great opportunity to build additional functionality in our products, but they're also giving us the opportunity to improve our own processes, make our own processes more efficient. So we're using those internally, which enables us to get to market faster, but also ensure we can keep cost growth below revenue growth. And I don't think, you know, obviously, we're spending more on some things than what we're spending with large language model providers, et cetera, as our customers use our products more and as we use those technologies more, but equally with other things that we can do more efficiently than we could before. And there's nothing we see in the overall dynamic that means we can't keep cost growth below revenue growth. And if anything, as we touched on in the outlook statement, the gap between profit growth and revenue growth, you know, can potentially be a little bit wider. And that's just through cost control and the opportunity that these new tools are giving us. I think your second question was about acquisitions and balance sheet and how we might use it. The primary focus remains on organic development. You know, we have the skills and the opportunity; we have all the assets we need to innovate and bring new products to market and value to customers using that. We will look at acquisitions where we see the opportunity, where we see something that can enhance and accelerate what we're doing, but they have to fit, they have to fit what we're doing. And obviously, with those specific criteria, there's only a few things that are available at any time that make sense. You know, we could, and we've had a couple of a few years now of relatively low M&A spend. That's not deliberate, it's just the way things have, what's come up, and it's perfectly possible that in the next period, we may see slightly 2 or 3 larger acquisitions come up, and we would absolutely invest in those if we saw the opportunity. But it's not the core of the strategy. The core strategy is organic. In terms of where the leverage is, as you rightly point out, because we've had relatively low M&A spend the last couple of years, we're at the bottom end of our leverage range. Clearly, we reflect that when we think about the buyback, and we have announced a buyback of GBP 2.25 billion this morning, which is up 50% from the buyback in the previous year. That, you know, if you take the sort of average M&A spend we have for the last few years, been around the sort of GBP 250 million mark, then, you know, that all things being equal, that puts roughly in the middle of our leverage range of 2-2.5 times. So that's why it's been fixed at that level. Perfect. Thanks. Thank you. We take the next question from the line of Ciaran Donnelly from Panmure Liberum. Please go ahead. Good morning. Thanks for taking the questions. Firstly, just in terms of Legal, can you help us understand the mix between publicly available data and proprietary created, curated data that underpins your products? And perhaps just comment on how difficult it would be to replicate those data sets. Just looking to get a sense of how deep that competitive moat is. In addition, can you just clarify with regards to your comment on interoperability, would you be open to licensing the use of your proprietary data to be integrated into, I don't know, API plugin, such as CoCounsel? And then lastly, just in risk, it looks like the base market core growth contribution was a smaller contribution in 2025 versus 2024. So could you just help us understand the dynamics there, and looking forward to 2026, what the mix of growth from base and product innovation is likely to be? Thanks. Yeah. So let me, let me start with the question of our content set. As you know, we describe RELX as a global provider of information-based analytics and decision tools. And everything we do is built on that information base, which is a foundation of unique and comprehensive content and data sets. And that applies to all our divisions. And assets are both historically comprehensive and continuously updated on an industrial scale across our divisions. And in each one of our divisions, it includes some form of public records accumulated over decades, some of which are no longer publicly available, some of which are theoretically public, but extremely difficult and complicated to collect because of the format or in print or in different locations. Then they also include licensed data sets. Across the company, we have licensed data for over 10,000 different sources. Some of those sources, the usage is regulated and controlled, and we can only use them in certain ways in our tools. We then have unique contributory data sets, and we have some of those involved in Legal as well. We have dozens of those contributory data or databases across the company. We then have proprietary data and content that we have created ourselves, written ourselves, either within our pool of internal employees or external contractors have created them for us over many years, right? But we combine these content and data sets then, with our deep customer understanding to build proprietary algorithms, judgments, inferences, and interpretations, which accumulated over decades, delivered unique insights and significant value to our customers themselves. This would be extremely hard, if not impossible, to replicate to the same level of value. This is what we mean when we talk about the fact that we have a content advantage that we believe is very sustainable and very strong and a very high value to our customers across our divisions, including Legal. So if you then look at the question, would we consider just licensing out our content sets and on? No, this is the centerpiece of our strategy. This is what we are. We are an information-based company. We're a content-based company, and everything we do is built around that unique, comprehensive information base. And that's the foundation for our product today. It will be the foundation of our products and their value add in the future. And is it possible some small sliverages in some non-core areas could be licensed in some places? Yeah, we've always done copyright sales here and there for decades, but that's not material. It's not the core of our strategy. Our core, the core of our strategy is to leverage those deeply embedded content and data sets and embed these new tools on top to enhance the value of those content platforms to our customers. And that's what we're seeing confirmation of. When we do that to our customers, we see that they see a value uplift. They... We see the spend uplift. They're willing to go on those because they see the higher value. We see that customers do that when it rolls out. We see that the users, we have more active users on the new higher value add platform and that they use them more. And I think your last question was about the split of the risk growth. The 8%, as you rightly point out, the contribution from new products has gone up. This year, the split was 6% from new products, 2% from older products, compared to 5%-3%, the previous couple of years. I wouldn't read too much into that. It's only a small shift. If anything, it just demonstrates that the pace of innovation has increased. You know, the older products perhaps are being replaced slightly quicker with new products, new functionality, and therefore, the split's just shifted a little bit, but I wouldn't read too much into it. Okay. Thanks. Thank you. We take the next question from the line of Steve Liechti from Deutsche Numis. Please go ahead. Yeah, morning. I'll take three as well, please. Thanks. First of all, just relatively simplistically, just if I'm a lawyer and I've now embedded Harvey or Leya into my workflow, just why am I gonna buy Protégé as well, you know, as a workflow tool? Maybe put that in the context of a large lawyer and a small lawyer. So that's the first question. Second question is on STM. You've moved your outlook guidance from good to strong like-for-like growth. Is that code for saying that you think like-for-like is gonna go from 5% this year to more like 6% next year? And then the third question is on risk. Just we're having a lot of conversations with people, on the kind of disruptive stuff going on in the market. Just remind us or rehearse the arguments on why an LLM or disruptor would find it very, very difficult to break into the risk market in terms of either the business services bit or insurance. Thanks. Nick, would you like to take the first one? Yeah. Look, I'm, you know, there are obviously various tools out there, and as we said before, the whole ecosystem in which lawyers operate, they've traditionally used all sorts of different tools for different functionalities. So it does depend on what sort of work you're doing. But if you're doing work that Legal research work in particular, or but anything that it relies on content and the what the latest information is, the latest law is. Then as we've been outlining, we have a significant competitive advantage because of the data set that we've built and the content that we've articulated a couple of times already on this call. That doesn't mean to say that lawyers won't use other things as well. And if they're good tools, then, as we said, we'll look to see whether we can use that functionality, replicate it in our products or make it interoperable with our products. And we'll continue to do that. But I think we're clear that we have a big customer base already using our Lexis+ AI with Protégé tool that runs into the hundreds of thousands of users, tens of thousands of customers. So the scale of what we're doing is already way bigger than a lot of things, a lot of other things that are out there. So I think the starting point with that content advantage is very good for us. I think it's important to distinguish here between content players and competing in content, which is what we do with these layers on top, which is content-enabled processing that adds value to the content, and the people who are building workflow tools that are not in the content business at the scale that we have, or the comprehensiveness of the historical trust and verification, verified content that we have. But there, there are several hundred software and workflow companies, ranging all the way from Microsoft at the top, to very specialized tools that are used by lawyers in many ways. And as we said, many of the large law firms have 100 of these different tools. The two that you mentioned that are coming out that for workflow tools that enable processing and workflows, they are more, the way they describe it, going after that much larger software and services market in the Legal tech space. In a way, they have explained that they see that their biggest threat to theirs, in their quote, publicly, is the LLM tools and LLM-related workflow tools themselves. We see them as additional partners. We're partnering with already 25 of these workflow and software-related companies in that space, and there's nothing that says that that couldn't be a few more over time. So we see them more as complements than competitors. Steve, your second question was about the guidance around STM. I mean, you know, I think as we said in the statement this morning, we have got improving momentum in STM. We are seeing an increased pace of the introduction and rollout of new products. We can see it in the strong new sales. So the business is in very good shape. Clearly, it's a very heavy subscription business, so things tend to change relatively slowly. But you know, without getting into the numbers, clearly the outlook statement is a more positive statement than we've had previously. That is an upgrade in our outlook. And your last question was about the risk business and LLMs and things. I think the most important thing to remember about the risk business, 90% of its revenue comes from machine-to-machine interactions. And you know, this is on a massive scale of the data sets we have and the data we collect from all the... as we've outlined a couple of times already on this, in this discussion, the thousands of sources, the public records, the contributory data coming back from customers with that network effect, that they can all benefit from what we do with the data, the algorithms that we apply to it. And it's incredibly difficult to replicate. It's a heavily regulated area. What data you can collect, how you're allowed to use that data, is heavily regulated. And I think, you know, given it's almost all machine to machine, you know, I think we see lots of opportunity to continue to use new data sources and use new technology. But I think we will be the beneficiaries of that. But I think it's important also to point out that risk has been at the forefront of using AI technology now for close to 20 years. The core driver behind the entire growth rate and the growth improvement over the last 15 years in risk has been the fact that we have all these unique, comprehensive data sets that most people don't have access to any of those, particularly the contributory data sets and some of the internal data sets that we generate in those markets. But the real enabler has been the fact that we have had a technology agnostic philosophy for that entire time period, and continuously looked at new AI machine learning tools and new algorithms for a very, very long time. Whenever anything comes out that can help us increase the value to our customers, we have tested them and embedded them. That's why, at this point, we are a 90% embedded machine-to-machine, AI-enabled algorithm business. The new or evolving generative AI tools actually do not add significant value to those kind of mathematical calculations. I mean, just to give you an illustration, in one of our contributory database offerings, we process around 400 million transactions per day in a mathematical, continuously improving model, right? So this is a completely different type of business that went through the AI enablement transformation, starting about 20 years ago, it started, and now continuing to evolve, and it's already very, very far down this path. I mean, I could remind you that it's exactly 20 years ago this year that because of how we approached big data, data science, and algorithms, we picked up knowledge of what was going on over at— Palantir? No, over at, Palantir. Palantir. Yeah, exactly. Over at Palantir. I went out to visit them personally about 20 years ago, and talked about how our different technologies compare and how well we could do together, and some of their tech people were at our conferences and so on. We've evolved into a high volume, algorithm-driven, very low price per unit, but very high volume, sort of transaction-based pricing installed inside industries. They've evolved in a complete opposite direction, but we still leverage the same technology heritage and the same thinking and approach to big data, data science, and AI. This is not a new thing, and it's not something that's likely to impact the trajectory of the risk business in any way, other than continue on the path we've been on to evaluate and look at and embed any new possible AI tool from any source that can increase the value to our customers of those algorithms we operate today. Right. Thank you very much. Thank you. Ladies and gentlemen, if you have a question, please press star then one. We take the next question from the line of Henry Hayden from Rothschild & Co, Redburn. Please go ahead. Yeah, morning, everyone. Thanks for taking our questions. I have three from my end. The first one on STM: How do you think about the corporate opportunity? So it's one you discussed in the past as a large addressable market with attractive structural growth profile. We were hoping for any incremental color you could give around end client preferences, and if there's a different approach that needs to be taken in going after that opportunity in terms of product functionality. And is there an appetite to grow corporate within the mix? And if so, you know, what unlocks better exposure to that underlying growth? Secondly, within Legal, we're seeing this structural uplift in tech investment from law firms, which adds support to your growth, but also can drive some degree of experimentation for new solutions around Legal research and workflows. At what point would you expect firms to kind of consolidate how many products they're taking, and how do you think about your positioning against that consolidation? And then finally, on risk, you've called out strong new sales and insurance again now. Is there a specific product or line item driving this? And are those competitive displacements or is there something else at play here? Thanks. Well, I can address first the STM market. The corporate market is, we believe, an important future growth opportunity for us. It is a relatively small segment of our revenue today, and we believe that it is more commercially oriented. As these tools that we build become higher value, more usable with new tools on top of our content, we see an opportunity to continue to sell and package those in a way that is more appropriate for the corporate market. We believe that we're gonna continue to see that growth rate there pick up as well over time, as those tools are developed, integrated, to add more value. But it's a relatively small segment today. It's likely to be gradual, even though on some of the tools we've rolled out today, we've actually slightly faster uptake on the sales cycle than we do in the academic markets, it's early signs. So we're positive, but it's small and it's still going to be gradual. On the Legal tech- So, Henry, on the Legal tech, and look, I think law firms will continue to evaluate and look at new technology and look at new tools. Yeah, the Legal research market clearly is very consolidated already with, obviously the two big players, of which we're one. But if you look at the wider, the wider technology provided to law firms, which is a big market, and all commentators think that's gonna grow quite significantly. If individual law firms may choose different strategies, but I'm sure they'll continue to experiment. And we think we have a strong offering to move into some of that market and to continue to add value in that more consolidated Legal research market where we play. And your third question was on insurance, and new sales. Yeah, that business is going well. It is, we continue to innovate. We continue to have new sources of data, and we touched on it earlier when we were talking about data coming off vehicles, from vehicles, about vehicles. For example, new identity data being brought to bear. We are using new data sources in different lines of insurance. So for example, using electronic health records for in the life insurance market, using aerial imagery or video taken inside the home, analyzed by AI to inform property. And these are additive. These are additive to what's already there. This is not typically displacing anything. It's these are not either/or type products. It's something that a functionality, an analytics that wasn't available before, and it's. As we innovate and make it available, it comes into the marketplace and helps the insurance companies become more efficient, helps them price risk more accurately, and they see value in them, and that's what's driving the take-up. That's very clear on all three. Thank you. Thank you. Ladies and gentlemen, if you have a question, please press star then one. As there are no further questions from the participants, I would like to turn the conference back over to Erik Engstrom, CEO, for any closing remarks. Well, thank you so much for taking the time to join us this morning. I appreciate you listening to us and asking us questions, and I look forward to talking to you again soon.