CS Disco Reports Q2 AI Revenue Growth
CS Disco reported second-quarter 2026 revenue of $43.1 million, up 13% year over year, while revenue attributed to generative and agentic AI more than tripled, according to Simply Wall St's earnings summary. The legal technology company reported an $8.7 million net loss and adjusted EBITDA loss of $3.4 million. AInvest reported full-year revenue guidance of $172 million to $179 million and an expectation for positive adjusted EBITDA in Q4.
CS Disco reported $43.1 million in second-quarter 2026 revenue, a 13% increase from $38.1 million a year earlier, according to Simply Wall St's summary of the company's earnings results. The legal technology vendor's generative and agentic AI revenue more than tripled year over year, while its net loss narrowed to $8.7 million from $10.8 million.
The results put AI product adoption alongside continued operating losses. Simply Wall St reported an adjusted EBITDA loss of $3.4 million for the quarter, equivalent to an approximately negative 8% margin on quarterly revenue. It also reported that CS Disco shares fell about 3% after earnings to $4.05.
AI adoption and platform rollout
Simply Wall St reported that repeat use of Cecilia and Auto Review increased, alongside larger average review sizes. The company had 354 customers that spent more than $100,000 over the preceding 12 months, up 15% year over year, according to that report. Those customers accounted for 77% of revenue.
The same source reported that CS Disco's new DISCO Platform pricing model, which includes Cecilia on every matter, reached an internal December 2026 run-rate target in June. The original earnings-call item characterized this as adoption accelerating ahead of schedule.
Seeking Alpha's automatically generated earnings-call summary reported that management linked rapid AI adoption to tripled revenue attributed to generative and agentic AI. It also described the company as launching a unified litigation solution, while noting that management was not providing firm monetization guidance for that offering.
For legal-tech practitioners, the reported growth is notable because AI-assisted review products are being assessed not only on isolated model performance but also on repeat usage, matter size, workflow integration, and commercial retention. Across comparable enterprise software deployments, broader product packaging can increase adoption but may also alter existing usage-based revenue patterns.
Guidance and profitability target
AInvest reported that CS Disco provided full-year 2026 revenue guidance of $172 million to $179 million and expected adjusted EBITDA to become positive in the fourth quarter. Seeking Alpha also reported the $172 million to $179 million full-year revenue range.
AInvest characterized the quarter as a revenue beat and cited a 6.71% premarket share-price increase to $4.45. Its summary also identified persistent risks: adjusted EBITDA remained negative, platform adoption could affect revenue timing, and monetization of the unified litigation offering remained uncertain.
The different market-price references reflect different points around the earnings release rather than a contradiction in the reported operating figures. For ML and data teams evaluating legal AI tools, the more durable indicators in subsequent disclosures are likely to be repeat workflow use, review-volume expansion, customer concentration, and whether AI-associated revenue growth translates into sustained operating leverage.
What remains open
The available reports do not provide detailed technical metrics for Cecilia or Auto Review, such as model architecture, evaluation methodology, accuracy, latency, human-review rates, or data-governance controls. They also do not quantify the portion of total revenue represented by generative and agentic AI.
Those omissions limit external assessment of whether reported AI revenue growth primarily reflects new product usage, pricing changes, expanded matters, or a combination of these factors. Companies adopting AI-assisted legal review commonly need to validate output quality and auditability alongside financial measures such as revenue per matter and retention.
Key Points
- 1CS Disco reported $43.1 million in Q2 revenue, while revenue attributed to generative and agentic AI more than tripled, tying legal-AI adoption to measurable commercial growth.
- 2Adjusted EBITDA remained negative at $3.4 million, making the reported Q4 profitability expectation a central execution metric for investors and operators.
- 3Comparable enterprise AI deployments often require repeat usage, workflow integration, quality validation, and governance evidence before revenue growth becomes durable.
Scoring Rationale
The earnings report provides a concrete commercial data point for generative and agentic AI adoption in e-discovery and litigation workflows. Its relevance is strongest for legal-tech practitioners and enterprise AI buyers, but the company and product footprint are narrower than a broad model or infrastructure release. The underlying earnings event occurred on August 5, reducing freshness at publication time.
Sources
Public references used for this report.
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