CS Disco Q1 2026 Earnings Call - AI Platform Launch Drives Revenue Beat and Margin Expansion

Operator: Ladies and gentlemen, thank you for standing by, and welcome to CS Disco’s first quarter 2026 conference call. At this time, all participants are in listen-only mode. All lines have been placed on mute to prevent any background noise. After the speaker’s remarks, there will be a question-and-answer session. If you would like to ask a question during this time, simply press star followed by the number one on your telephone keypad. If you would like to withdraw your question, press star one again. I would now like to hand the conference over to your first speaker today, Head of Investor Relations, Aleksey Lakchakov. Please go ahead.

Aleksey Lakchakov, Head of Investor Relations, CS Disco: Good morning, thank you for joining us on today’s conference call to discuss the financial results for Disco’s first quarter of fiscal year 2026. With me on today’s call are Eric Friedrichsen, Disco’s Chief Executive Officer, Aaron Barfoot, Disco’s Chief Financial Officer, and Richard Crum, Disco’s Chief Product, Technology and Strategy Officer. Today’s call will include forward-looking statements within the meaning of the Safe Harbor Provisions of the Private Securities Litigation Reform Act of 1995, including, but not limited to, statements regarding our financial outlook and the future performance, our future capital expenditures, market opportunity, market position, product and go-to-market strategies and growth opportunities, and the benefits of our product offerings and developments in the legal technology industry. In addition to our prepared remarks, our earnings press release, SEC filings, and a replay of today’s call can be found on our investor relations website at ir.csdisco.com.

Forward-looking statements involve known and unknown risks and uncertainties that may cause or actual results, performance, or achievements to be materially different from those expressed or implied by the forward-looking statements. Forward-looking statements represent our management’s beliefs and assumptions only as of the date made. Information on factors that could affect the company’s financial results is included in its filings with the SEC from time to time, including the section titled Risk Factors in the company’s annual report on Form 10-K for the year ended December 31st, 2025, filed with the SEC on February 25th, 2026, and the company’s quarterly report on Form 10-Q for the quarter ended March 31st, 2026. In addition, during today’s call, we will discuss non-GAAP financial measures. These non-GAAP financial measures are in addition to, and not a substitute for or superior to, measures of financial performance prepared in accordance with GAAP.

Reconciliation between GAAP and non-GAAP financial measures and the discussion of the limitations of using non-GAAP measures versus the closest GAAP equivalent is available in our earnings release. With that, I’d like to turn the call over to Eric.

Eric Friedrichsen, Chief Executive Officer, CS Disco: Thank you, Aleksey. Good morning, everyone, and thank you for joining us. In the first quarter, Disco delivered strong results across the board. With significant product momentum, continued traction with our largest customers in both software and services, and strong underlying financial performance, we continue to drive accelerating and sustainable revenue growth. As AI permeates through the legal industry, law firms are looking for ways to boost their productivity, increase efficiency, and deliver better outcomes in order to win more business as their corporate clients look to control litigation spend. The key to success in this environment is trust. The trust is earned through security, enterprise scale, and litigation-specific capabilities necessary to help lawyers win on the largest and most complex matters. This is where Disco shines.

We are in an excellent place with unique capabilities to continue to be a disruptor and leader in AI for litigation, and our progress in Q1 has helped further differentiate DISCO from both general-purpose legal AI tools and those in the traditional e-discovery space. In Q1, total revenue grew 14% year-over-year to $41.9 million, and software revenue grew 12% year-over-year to $34.7 million. This was the fourth consecutive quarter of accelerating growth in total revenue if you exclude the one-time contingent deal we recognized in Q3 of last year. We are very pleased to deliver strong software growth and to beat the high end of our total revenue guidance range. Adjusted EBITDA improved 32% to -$3.5 million in Q1, also beating the high end of our guidance range.

We saw strong Q1 performance in 4 key areas. First, increased wallet share among our biggest customers. Second, growth of large multi-terabyte matters. Third, continued adoption of our generative AI capabilities. Fourth, overall acceleration in the growth of data on our platform. Regarding improvement with our biggest customers, in Q1, we increased the number of customers that generated more than $100,000 in total revenue during the last 12 months to 347. The revenue attributable to these customers during the last 12 months totaled $124 million, representing 77% of total revenue over this period and 13% year-over-year growth. We are continuing to add multi-terabyte matters as more complex litigation comes onto our platform.

In Q1, we saw an acceleration in net new large matters added, which is a very promising sign given that these matters generate more revenue, expand over time, and last longer on our platform. Continued adoption of our generative AI capabilities was driven by both Cecilia AI and AutoReview. DISCO is transforming high stakes litigation through an AI native stack built on a decade of proprietary data innovation and purpose-built legal workflows. At its core, Cecilia’s agentic intelligence allows legal teams to speak directly to their data, uncovering complex evidence in seconds rather than weeks. Cecilia Advanced Research is our new platform native agentic AI capability, which is a breakthrough for e-discovery and investigations. It is capable of much more sophisticated autonomous reasoning that extracts deeper context, makes next level connections, and delivers significantly more detailed and thorough results across even the largest data sets.

We’re currently in testing with select customers on live case data in preparation for a broader rollout to wait-listed customers next month. The feedback is fantastic. Customers instantly grasp how much more they can accomplish and see it as a real example of what other AI providers have only been promising. Increased adoption has also extended through to our AI-powered managed services, which deliver expert level results at software scale economics. The result is a secure enterprise-grade ecosystem that fundamentally redefines the speed and efficiency of modern discovery. DISCO AutoReview is a more accurate and leaner alternative to traditional review and an excellent example of our AI capabilities in action. As more law firms look for new revenue streams, AutoReview allows them to bring more of that work in-house rather than sending it to alternative legal service providers, moving review from a cost center to a profit center.

This is a win-win-win for the client, for the law firm, and for Disco because it provides a clear ROI and better outcomes for the client while providing more differentiated revenue streams for the law firm and for Disco. Our AutoReview capabilities continue to lead the market in terms of speed and efficacy, and we believe that as more and more firms consider AI for their review needs, that we are very well positioned to capture that demand. Interest in AutoReview continues to grow. We are seeing more customers engage with us to evaluate how AutoReview can help with their larger matters, and it has proven to be a strong driver for our managed review offering, which also enjoyed a strong Q1.

That’s a great example of how our AI capabilities, combined with our customer value proposition of with you in every case, are bringing more customers, more matters, and more revenue to Disco. As far as overall acceleration of usage, we had a significantly better than expected launch of the DISCO Platform in Q1. For context, the DISCO Platform is our powerful industry-leading set of AI capabilities, including Cecilia Q&A, Cecilia auto timelines, document summaries, definitions, and DISCO Case Builder bundled together in one solution with our e-discovery capabilities on every matter. The DISCO Platform gives customers everything they need to manage and win their matters for one competitive price. In the first three months, we’ve seen strong demand from customers with early adoption that has been much better than anticipated, and we’re equally pleased from a financial perspective.

While it’s still in the early days, we’re seeing some very encouraging trends from DISCO Platform adoption, including larger matters, increased committed revenue, multi-year deals, and growing AI adoption. These results demonstrate how much easier we’ve made it to do business with DISCO, something further proven by the strong customer demand. Continuing to grow DISCO Platform is a key driver behind expanding wallet share among our existing base of large customers with large matters. I always like to highlight a couple real-world examples to illustrate the value that DISCO is delivering to customers. These are examples of customers who have moved from important transactional relationships to strategic relationships that benefit us both. The first is Mound Cotton, a leading litigation boutique focused on insurance matters with a nearly 90-year history.

Following the launch of our DISCO Platform in the first quarter, Mound Cotton signed a three-year enterprise agreement, making DISCO the provider of choice for e-discovery technology across their firm. The reasoning was simple. They wanted a strategic partner that combined secure, cutting-edge AI technology with professional services and support that they need for their largest and most sensitive matters. Mound Cotton conducted a broad review of potential partners in search of a comprehensive, integrated solution before selecting DISCO, and noted that it quickly became clear that DISCO was the better product for their clients and better experience for their attorneys. As a firm that closely works with large global financial institutions, Mound Cotton was drawn to DISCO’s reputation for security, privacy, and reliability.

They said, "We have the luxury of being able to select the best in class solution, and the unanimous verdict was that DISCO is a dramatically better product today and that the gap will only widen in the future. As a firm with sophisticated clients that demand the best tools, DISCO is the right choice." We hear similar things from many of the top firms we work with. They need advanced, secure technology paired with the expertise to help them get the most out of it to deliver results for their clients. The DISCO Platform is making that easier than ever. A second example that demonstrates how we’re building multi-year relationships because customers see our technology’s potential is Reynolds Frizzell LLP. A generalist commercial litigation firm in Houston with a prominent energy litigation practice. Reynolds Frizzell is one of our longest relationships.

They’ve been using DISCO since 2015, and they also recently signed a multi-year enterprise agreement to expand their use of our technology across their firm. Reynolds Frizzell LLP has taken a considered approach to new technology in the legal tech space, thoughtfully vetting AI applications and focusing on technology specifically designed for legal use cases. As they looked into legal AI applications, DISCO was a natural place to start based on a decade-long relationship built on trust and collaboration. A Reynolds Frizzell LLP partner said that they’ve used and evaluated a number of different AI legal tools and were especially impressed by Cecilia capabilities. "We’re excited to have it available for our cases," the partner said. This illustrates the power of our with you in every case value proposition.

Our combination of advanced technology and expert professional services has made Disco into an essential resource for Reynolds Frizzell LLP, and we’re continuing to serve and grow this long-standing relationship into the future. There are dozens more every quarter demonstrating our ability to develop these relationships and dramatically expand them over time. All told, Q1 was a strong quarter for Disco, with continued growth in our core business, a better than expected launch of the DISCO Platform, great progress with AI adoption. We believe this creates significant momentum for us throughout 2026 and beyond. With that, I’ll next turn it over to Richard to discuss how our recent product advancements and our product roadmap are shaping our longer term view of the broader opportunity to provide powerful AI solutions for litigation.

Richard.

Richard Crum, Chief Product, Technology and Strategy Officer, CS Disco: Thank you, Eric. As Eric noted, we are incredibly excited about the customer response we’re seeing to the DISCO Platform and Cecilia Advanced Research. Both are important steps for us, but are really only the beginning of what we know is possible in litigation technology with our AI capabilities. The legal industry as a whole is in a period of significant change. Law firms face pressure to leverage new technology and consider changes to their business models. Corporate legal departments are expected to control spend while workloads are growing, and everyone is grappling with the growing volume of new complex data, leading to very real data management and fact-finding challenges. The general legal AI companies and even tools from foundational model providers are offering legal workflow solutions that address a wide range of transactional legal work, such as redlining contracts, drafting memos, and extracting information from a set of documents.

Legal tasks where efficiency and automation to speed up work is truly valuable. Litigation is an entirely different game. It is significantly more complex. Litigators are not asking for ways to work faster. They want solutions that shift the odds in their favor by delivering the crucial case intelligence that leads to victory. They need to win, and the expertise and precision required to deliver that requires scaled technology like we have developed at DISCO. Put another way, litigators need solutions that are purpose-built for the unique demands of the practice. It needs AI built for litigation. That’s what we’re building. At DISCO, we are continuing to extend our AI applications for our customers beyond traditional e-discovery compliance to unlock both new strategic advantages and drive value across the litigation life cycle. Let me explain that with some more detail.

There are two high-level outputs from e-discovery. Production compliance and a detailed understanding of the facts and evidence in context. E-discovery has traditionally focused on production compliance because it is an important court-mandated step in the litigation process with real consequences if you get it wrong. It is also a necessary tick the box exercise with limited strategic value on its own. Most e-discovery tools have made production more accurate, automated, and efficient, but they have not made it more strategic or independently valuable. This is where DISCO is different. It is our ability to surface not just the facts, but the complete picture of context, intent, and relationships between documents and data. DISCO goes beyond the required production to deliver a comprehensive set of facts and evidence, organized, tagged, connected, and understood in relation to the claims of the matter.

The real value for litigators is in the mastery of those facts. The second piece is in the law itself, and it’s worth reminding everyone that DISCO holds a license for the full corpus of US case law, statutes, regulations, and court rules. The facts of the case and the law of the jurisdiction together in one platform will be a powerful combination. We will share more about our vision and how it will come together soon, but let me turn back to what we’re delivering right now. Three years ago, DISCO first dramatically disrupted traditional e-discovery with Cecilia AI. Our new Cecilia Q&A: Advanced Research is an agentic AI tool set that leapfrogs the capability of those many copycat Q&A tools that have followed us by helping attorneys develop winning case theories during discovery and all along the litigation life cycle as the matter advances to settlement or trial.

Unlike simple Q&A tools, Cecilia Advanced Research functions as an intelligence agent, performing multi-step analysis across massive amounts of data to deliver defensible, court-ready insights that litigators use to build winning case theory from day 1. Cecilia Advanced Research can generate work product for litigators as a case advances, build tighter and more compelling narratives with our integrated timelines functionality, streamline deposition and witness preparation, and interrogate the record at trial. They do this all in one powerful, integrated, and secure platform from DISCO. We’re currently in testing with select customers on live case data in preparation for this broader rollout to priority customers on our wait list later this month. The feedback is fantastic. Customers instantly grasp how much more they can accomplish and see it as a very real example of what other AI providers have only been promising.

The new era of AI, both generative and agentic, opens up a treasure trove of opportunity. You don’t have to know how to use complicated technology. You just have to know how to articulate the outcome you’re looking for, something that lawyers are already incredibly good at. DISCO AI lets litigators focus on the output of the process, winning for their clients who hire them to deliver. We believe this means lower barriers to adoption, greater usage of our platform across the life of a matter, and most importantly, better results for our customers and their clients. In the simplest of terms, at DISCO, we are directly investing in our customers’ competitive edge to help them win cases and grow their business. DISCO is the AI solution for litigators. With that, I’ll hand it over to Aaron.

Aaron Barfoot, Chief Financial Officer, CS Disco: Thank you, Richard. Q1 results were strong across all our revenue lines. We exceeded the top end of total revenue guidance in the quarter and came in above the midpoint of our guidance range in software. In Q1 2026, total revenue was $41.9 million, up 14% year-over-year, while software revenue was $34.7 million, up 12% year-over-year. This was the fourth straight quarter of accelerating total revenue growth, excluding the impact of one-time contingent software revenue recognized in Q3 of last year. Services revenue was $7.2 million, up 25% year-over-year. To start, I want to touch on some of the dynamics we are seeing in our software business. As Eric mentioned, we saw strong traction in Q1 with DISCO Platform.

We are seeing more cases start on DISCO Platform with more matters and gigabytes than we had expected through Q1 as customers see the obvious benefits of bundled products and all-in-one pricing. We expect these new, larger matters will be a tailwind for our business in the coming quarters, but we could see variability as customers move from sets of individual products and ingest fees to the DISCO Platform. I also want to touch on our performance and services, which exceeded expectations in Q1 and was driven by growth of both professional services and our review business. We’ve discussed in the past the tremendous impact we believe AutoReview will have on the litigation workflow as more customers embrace AI adoption. While we have customers all along the spectrum of AI readiness, both new and existing customers are curious about AutoReview’s capabilities.

A further dynamic we are seeing is that as customers learn about both our traditional review and AutoReview, some choose to use traditional review as they consider broader AI implementation. That dynamic helps fuel our strong services result in Q1. Turning to profitability metrics. In discussing the remainder of the income statement, please note that unless otherwise specified, all references to our gross margin, operating expenses, and net loss are on a non-GAAP basis. adjusted EBITDA is also a non-GAAP financial measure. Our gross margin in Q1 was 75%, consistent with 75% the prior year. As we mentioned before, our gross margins fluctuate from period to period based on the nature of our customers’ usage. For example, the amount and types of data ingested and managed on our platform.

Sales and marketing expense for Q1 was $14.8 million, or 35% of revenue, compared to 36% of revenue the prior year. The year-over-year dollar increase was driven by personnel costs as we invest in our go-to-market capabilities. Research and development expense for Q1 was $12.9 million, or 31% of revenue, compared to 33% of revenue the prior year. Research and development increased year over year, primarily driven by higher personnel costs as our team continues to focus on AI and platform development. General and administrative expense in Q1 was $8.6 million, or 21% of revenue, compared to 23% of revenue in Q1 of the prior year. General and administrative expense were relatively flat year over year.

Adjusted EBITDA was negative $3.5 million in Q1, representing an adjusted EBITDA margin of negative 8%. Compared to an adjusted EBITDA margin of negative 14% in Q1 of the prior year. Also, a 600 basis point improvement. We are pleased with this progress and the fact that adjusted EBITDA exceeded the high end of our guidance. Net loss in Q1 was $4.2 million or negative 10% of revenue, compared with a net loss of $4.9 million or 14% of revenue in Q1 of the prior year. Net loss per share for Q1 was $0.07, compared to $0.08 per share for Q1 of the prior year. Turning to the balance sheet and cash flow statement, we ended Q1 with $103 million in cash and short-term investments and no debt, maintaining our strong financial position.

Operating cash flow in Q1 was -$11.7 million, compared to -$10.5 million in Q1 of the prior year. Turning to our guidance, for Q2 2026, we’re providing total revenue guidance in the range of $41.5 million-$43.5 million, and software revenue guidance in the range of $36.1 million-$37.1 million. We expect adjusted EBITDA to be in the range of -$4.5 million to -$2.5 million. For fiscal year 2026, we are increasing our total revenue guide to the range of $169.25 million-$178.75 million, and software revenue guidance to the range of $146 million-$152.5 million.

We expect adjusted EBITDA to be in the range of negative $8 million to negative $4 million. Now I’d like to turn the call over to the operator for Q&A. Operator?

Operator: We will now begin the question-and-answer session. If you would like to ask a question, please press star one to raise your hand. To withdraw your question, press star one again. We ask that you pick your handset up when asking a question to allow for optimum sound quality, and if you are muted locally, please remember to unmute your device. Please stand by while we compile the Q&A roster. Your first question comes from the line of Scott Berg with Needham. Your line is open. Please go ahead.

Scott Berg, Analyst, Needham: Hi, everyone. Thanks, quarter, and thanks for taking my questions. Probably a question for Eric or Richard. Wanted to start off with, I think the AI topic in the space in the quarter. You know, there’s been a lot of questions we feel like from investors on the ability for customers within the litigation space to use some of the, I’ll call them tools that have been released on the, you know, frontier large language models out there. You all addressed that a little bit in your prepared remarks. I think the question in all that is, did it actually disrupt sales cycles or maybe how your customers were using the product during the quarter, you know, as they maybe, you know, quote-unquote, tried or wanted to evaluate those technologies?

Did you really see it maybe more as a non-event in your operational activities?

Richard Crum, Chief Product, Technology and Strategy Officer, CS Disco: Hi, Scott. This is Richard. Thanks for that question. I think it’s an important dynamic to unpack a little bit. It’s certainly written about a lot that generative AI has the ability to commoditize some of the simple steps that lawyers do, right? Whether it’s summarizing documents or running a search or drafting. I think it also, in some ways, elevates the intelligence layer where DISCO, right, that’s where we’ve invested, that’s where we shine. Because the context that comes from the power of how DISCO’s Platform powers litigation, brings evidence and facts to light for our customers, right, it’s so much more powerful than what any large language model or a tool that’s simply built on top of that large language model could ever do, even with the same data.

Aaron Barfoot, Chief Financial Officer, CS Disco: I think what we’re seeing is our customers realizing that e-discovery actually presents a real shift from just a simple tool to perform a job into something that with Disco can give them a strategic advantage.

Eric Friedrichsen, Chief Executive Officer, CS Disco: Yeah. Hey, Scott, I’ll add on to that. This is Eric. No, we haven’t seen any slowdown at all in sales cycles related to these new tools that have come out. In fact, if anything, it’s helped us drive AI adoption because lawyers overall, law firms are, you know, much more interested to see how AI can impact them. We’ve got AI that can drive incredible ROI and provide better outcomes ultimately for customers’ clients. The short answer is no, we haven’t seen any negatives at all. It’s been very positive for us.

Scott Berg, Analyst, Needham: Excellent. Thank you. From a follow-up perspective, you all commented that the DISCO Platform, I think, saw better interest in adoption in Q1 than maybe what you had initially anticipated there. In your conversations with customers so far, I guess, what have you found in terms of pricing and use, you know, relative to, I don’t know, a customer that was just using e-discovery before? If you could help us understand maybe what that opportunity or journey is like to take a customer from, you know, what’s historically been a single solution on the DISCO Platform to the all-in, you know, opportunity there, I think that’d be really helpful. Thank you.

Eric Friedrichsen, Chief Executive Officer, CS Disco: Sure. You know, really demand for AI is what drove far better than expected results for the DISCO Platform adoption. You know, certainly there was some pent-up demand from both our customers and our sales teams. They were excited for the opportunity to have Cecilia AI, Case Builder, and all of our e-discovery capabilities integrated across all of their matters. So that’s the main driver. But also, you know, as you remember, our old pricing model was hard to understand. And it made some customers feel that we were much more expensive than the competition, especially for larger matters, when we were actually pretty similar. So a shift to more of an apples to apples pricing model, you know, has really increased our consideration for new matters and for new customers, and it’s made a big impact already.

I mean, we’ve seen some very big and complex matters start on the DISCO Platform right here out of the bat in Q1. We’ve seen increased revenue commitments. We’ve seen longer term agreements from some of these customers. You know, DISCO Platform’s off to a great start and, you know, I’m really optimistic about the future.

Scott Berg, Analyst, Needham: Excellent. Nice quarter. Thanks again for taking my questions.

Eric Friedrichsen, Chief Executive Officer, CS Disco: Thanks, Scott.

Operator: Our next question comes from David Hynes with Canaccord. Your line is open. Please go ahead.

David Hynes, Analyst, Canaccord: Hey, good morning, guys. Eric, I want to ask a big picture, kind of industry implications question related to the AI-driven advancements we’ve seen in legal tech. Do you think it makes it so that the largest firms are able to take on more so that they own kind of more of the space, or does it level the playing field so that smaller firms are able to be more competitive? I guess what are the implications of all this prospective change for DISCO?

Eric Friedrichsen, Chief Executive Officer, CS Disco: Yeah, I’ll get started and others can feel free to chime in, DJ. Look, I think this is an opportunity for law firms to generate more revenue. You know, the whole legal industry right now is rethinking their business models. You know, what AI can do is give the opportunity for these law firms to be able to take more business in-house that they were previously sending out to alternative legal service providers.

If you think about, particularly when it comes to the review process, you know, this low level, low dollar work that was fairly mundane tasks that law firms didn’t really feel like fit their model for the most part in how they wanted to provide value to their customers, where they were sending it out to these, alternative legal service providers doing that human work. You know, part of that was they were missing out on the revenue. The other part of it was they were losing the context of all that great work.

Now the fact that they have the opportunity to leverage much, much better technology with generative AI and products like AutoReview to be able to bring that business back in-house, add extreme value on top of it in terms of legal judgment and generative AI consulting services, and keep the context in-house to really help their lawyers go drive case strategy, it’s a real game changer. Ultimately, the law firm can generate more revenue that’s good for Disco, but also the end client can save money and get better outcomes. Ultimately, I think this is a big shift and a big opportunity for each of us.

David Hynes, Analyst, Canaccord: Yep. Yep, makes sense. Aaron, a follow-up for you. The 100K plus net add number was particularly strong this quarter, but software revenue has held more or less flat the last few quarters. Can you just help me understand that dynamic? Are the customer adds a leading indicator and software revenue should follow, or, you know, is the uptick in folks moving over that spend threshold just services driven? How should we think about this?

Aaron Barfoot, Chief Financial Officer, CS Disco: Yeah, I think when you know, when you look at the quarter and you look at the movement of the 100K customers, we’re very, you know, we’re certainly happy that sequentially it grew 5% quarter-over-quarter, and I would definitely characterize that as a leading indicator. The reason for that is obviously the matter comes in, it ingests, and then it expands as it moves on to the platform. That’s the dynamic that happens, and that’s why it’s a leading indicator. I’d also add, though, with that, when you think about it as a leading indicator, there’s gonna be, you know, there’s movements both ways, right? You have matters coming in, you have matters going off, you’re always in a usage model looking at the triangulation of both.

It is obviously having a strong quarter is usually a good leading indicator of those matters coming in, but it also depends on what’s coming out, and that’s what goes into our models. I think when you look at the quarter, relatively speaking, one of the other elements you asked about kind of with the growth is, and I touched on this in my prepared remarks with AutoReview. You know, we’re super happy with the traction we’ve seen. It’s actually brought us new customers, matters. It’s brought us matters from existing customers. In bringing those in, what happens is those customers come in at varying states of AI readiness. As it comes in through the pipeline, we’ve seen a handful of those go and convert and become managed reviews. That helps drive.

AutoReview actually helps drive part of the beat on the services line for the quarter, which is why we’re very proud to come in at the upper end of the range there. At the same time, you know, we’re happy that some of those came in, became managed reviews, but subsequently those customers have come back to us with other matters and chosen AutoReview. I think what you’re watching, and Eric kind of alluded to this too, is, you know, law firms are becoming more and more comfortable with AI and how it plays, and so we’re watching that closely.

Eric Friedrichsen, Chief Executive Officer, CS Disco: Yeah, I think it also just speaks to.

Aaron Barfoot, Chief Financial Officer, CS Disco: It is with you in every case.

Eric Friedrichsen, Chief Executive Officer, CS Disco: customer value proposition, right. We’re with our customers in every case. If they choose at a certain point, because they’re not quite ready to use AutoReview, we can leverage our AI managed services and our managed review to really help them in the short term. You know, overall, I’m incredibly pleased about the revenue, the 14% revenue growth for the business this quarter.

David Hynes, Analyst, Canaccord: Yeah. Yeah. Just so we’re all perfectly clear, AutoReview falls into the software line and managed services obviously falls into the services line. Is that correct?

Aaron Barfoot, Chief Financial Officer, CS Disco: Correct. AutoReview actually has 2 components today. It actually has, part of it sits in software and part of it sits in services. The reason for that is that actually some of the familiarization part of it as well. What happens is today, you know, a customer, we might actually help.

Eric Friedrichsen, Chief Executive Officer, CS Disco: engineer the prompts for them. That’s still manual work that we do is we set them up. I think as customers become more familiar over time, that prompting will not be required, and so it’ll become fully, you know, it’ll be truly software revenue. Today it sits partially in software and partially in services.

David Hynes, Analyst, Canaccord: Yep. Okay. Very clear. Thank you, guys.

Operator: There are no further questions at this time. I will now turn the call back to Eric Friedrichsen, CEO, for closing remarks.

Eric Friedrichsen, Chief Executive Officer, CS Disco: Thanks everyone. Thanks for the questions. Q1 was a strong quarter for DISCO, you know, the demand for our AI capabilities drove better than expected results for the launch of the DISCO Platform. We’re already seeing benefits from our new pricing model, which was designed to increase consideration, to improve win rates, to reduce discounts, to improve stickiness, and ultimately to provide more value to our customers. I’ve said before, and I’ll say it again, that I believe that DISCO could be a 20%+ grower over time. In the first quarter, we made continued progress on the key drivers that are going to make that happen. Things like increasing our share of wallet with our large customers, acquiring larger matters, and accelerating AI adoption. All 3 of those demonstrate that our strategy is working.

Along with our product roadmap and where we’re going next, DISCO is really poised to be the leader in AI for litigators. We’ve increasingly transformed high-stake litigation through our purpose-built legal workflows. We are very much focused on litigation, not general legal. When you combine our strategy with our path to reach adjusted EBITDA profitability in Q4 this year, we believe DISCO’s on an excellent trajectory today, and we’re positioned for the future as our solutions become increasingly the standard to help litigators win. Thanks for your time today. We’ll see you next quarter.

Operator: This concludes today’s call. Thank you for attending. You may now disconnect.