Strategic Performance and Market Positioning

• Achieved 14% year-over-year total revenue growth, marking the fourth consecutive quarter of acceleration when excluding prior one-time items.

• Performance was driven by increased wallet share among large customers, with those generating over $100,000 in revenue now accounting for 77% of the total.

• The launch of the DISCO platform exceeded expectations by bundling AI capabilities with Ediscovery, simplifying pricing to improve win rates and reduce discounting.

• Management attributes growth in large, multi-terabyte matters to the platform's ability to handle complex litigation that requires high-security and enterprise scale.

• Strategic focus remains on 'AI for litigators' rather than general legal AI, prioritizing case intelligence and winning outcomes over simple task automation.

• The 'With You in Every Case' value proposition is converting transactional relationships into multi-year enterprise agreements with prominent law firms.

• Operational efficiency improved significantly, with adjusted EBITDA margin expanding by 600 basis points year-over-year to negative 8%.

Outlook and Strategic Roadmap

• Management reiterated the goal of reaching adjusted EBITDA profitability by Q4 2026 while targeting 20%-plus revenue growth over the long term.

• The broader rollout of Cecilia Advanced Research is scheduled for next month, targeting wait-listed customers following positive feedback from live case testing.

• Guidance assumes continued tailwinds from larger matters and increased committed revenue, though management noted potential variability as customers transition to the new platform pricing.

• Future product strategy involves integrating the full corpus of U.S. case law and statutes with case facts to provide a comprehensive litigation intelligence platform.

• The company expects Auto Review to increasingly shift from a service-supported model to pure software revenue as customer familiarity with AI prompting grows.

Operational Dynamics and Risk Factors

• Auto Review is currently categorized as both software and services revenue due to the manual prompt engineering support required during the initial adoption phase.

• Services revenue grew 25% year-over-year, partially fueled by customers who evaluate AI but opt for traditional managed review during their transition period.

• Increased personnel costs in R&D and sales reflect intentional investments in go-to-market capabilities and AI platform development.

• The company maintains a strong liquidity position with $103 million in cash and no debt to fund its growth initiatives.