May 11, 2024 - LAW

The Hidden Gem in DISCO's Q1 Transcript: Why This AI Pioneer is Poised for Explosive Growth

Amidst the executive shuffles and go-to-market realignments of DISCO's Q1 2024 earnings call (<a href="https://seekingalpha.com/symbol/LAW" alt="CS Disco, Inc.">CS Disco, Inc. (LAW)</a>), a crucial detail hides in plain sight, one that holds the key to understanding the company's true potential and its path to regaining its growth narrative. It's not about the impressive customer base or the compelling new Cecilia AI features, though those are certainly noteworthy. The real story lies in a subtle shift in how DISCO is approaching its revenue streams and how that change aligns perfectly with the seismic impact generative AI is having on the legal industry.

DISCO's decision to break out software revenue as a separate metric from services revenue may seem like a minor accounting adjustment. But it's a deliberate move, a strategic signal that the company is placing its bets on the future, and that future is all about AI-driven software. The transcript reveals a growing gap between software revenue, which is seeing consistent sequential growth, and services revenue, which remains flat. While the company acknowledges softness in Q2, attributed to sales reorganization, the overall trajectory points towards software becoming the dominant force in DISCO's revenue model.

This shift is not just a trend; it's a response to the evolving needs of the legal industry and DISCO's growing dominance in the AI space. As Scott Hill, outgoing CEO, pointed out, the industry is on the cusp of a revolution, with generative AI poised to transform every aspect of legal workflow, from document review to legal research and advice. And DISCO, with its years-long investment in AI technology, stands to be the primary beneficiary of this revolution.

The numbers tell a compelling story. Software revenue, while still a relatively small portion of overall revenue, is growing at a steady 9% clip, accelerating sequentially for three consecutive quarters. This growth is driven by both existing customers, who are increasingly leveraging Cecilia AI's capabilities, and new customers drawn in by DISCO's innovative offerings. While Cecilia may not be a significant revenue contributor in 2024, its impact is undeniable, acting as a "door opener" to new client relationships and expanded partnerships.

"Meanwhile, services revenue, primarily driven by the Disco review offering, remains flat. This stagnation is not a sign of weakness but rather a reflection of the episodic nature of the review business, which is heavily reliant on large, complex cases. As DISCO refines its sales strategy and focuses on larger clients, particularly in the big law and corporate sectors, the potential for review revenue to catch up with software is significant."

Software vs. Services Revenue Trend

This chart, based on data from DISCO's Q1 2024 earnings call, highlights the diverging trends in software and services revenue.

But the real potential for explosive growth lies in the synergy between DISCO's core eDiscovery software, the innovative Cecilia AI platform, and the growing demand for AI-driven efficiency in the legal industry. Imagine a scenario where Cecilia's auto-review capability, currently in private testing, becomes the industry standard, drastically reducing the time and resources required for document review. This would not only enhance the efficiency of legal teams but also create a new revenue stream for DISCO, one based on value pricing rather than simply chasing the lowest dollar.

The transcript hints at this future, with customers praising Cecilia's ability to save hundreds of working hours and accelerate the speed and quality of legal work. The testimonials are powerful, showcasing the transformative potential of DISCO's AI technology and its ability to reshape the legal landscape.

But here's the kicker, the hidden gem that most analysts seem to be overlooking: the potential for DISCO's AI-driven software to unlock a new market of customers. As legal professionals become increasingly aware of the time and cost savings offered by generative AI, the demand for these solutions will skyrocket, potentially expanding DISCO's addressable market beyond its current customer base. This could include smaller firms, solo practitioners, and even legal departments within non-legal industries, creating a massive growth opportunity for the company.

DISCO's journey is not without challenges. The company acknowledges the need to rebuild its sales and customer success functions, refine its pricing strategy, and address some operational inefficiencies. However, the core foundation is solid, with a loyal customer base, a highly innovative product roadmap, and a growing market opportunity perfectly aligned with the company's AI-driven strategy.

DISCO's Q1 transcript is not just a financial update; it's a glimpse into the future of legal technology. By focusing on software revenue and leveraging the transformative power of AI, DISCO is positioning itself to become the industry leader, not just in eDiscovery, but in the broader legal tech space. The company's commitment to innovation, combined with its strategic shift towards AI-driven software, creates a potent recipe for explosive growth in the years to come. The stage is set for DISCO to become the next legal tech giant.

"Fun Facts:"

<ul><li>DISCO's platform processed over 1.2 billion pages in March 2024 alone. (<a href="https://seekingalpha.com/symbol/LAW" alt="CS Disco, Inc. (LAW) Q1 2024 earnings call transcript">Q1 2024 earnings call transcript</a>)</li><li>At its peak, DISCO's platform produced over 51.6 million pages in a single hour. (<a href="https://seekingalpha.com/symbol/LAW" alt="CS Disco, Inc. (LAW) Q1 2024 earnings call transcript">Q1 2024 earnings call transcript</a>)</li><li>DISCO's Cecilia Auto Review can assess 9,000 documents in two hours, a task that would take humans around 200 hours. (<a href="https://seekingalpha.com/symbol/LAW" alt="CS Disco, Inc. (LAW) Q1 2024 earnings call transcript">Q1 2024 earnings call transcript</a>)</li></ul>