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Organic revenue growth accelerated to 8% in Q1, driven by 9% growth in the Big 3 segments and double-digit momentum in law firm revenue excluding government.
Management introduced the concept of 'fiduciary-grade AI' to differentiate their deterministic, verifiable solutions from general-purpose probabilistic models in high-stakes professional fields.
The proprietary 'Thomson' legal-focused large language model is outperforming frontier models on specific tasks, providing strategic optionality and potential unit-cost advantages.
Legal professionals revenue (excluding government) grew 11%, reflecting faster adoption of Westlaw Advantage compared to the two prior upgrade cycles.
The company maintains a 'model-agnostic' approach for its AI agents, currently utilizing Anthropic while retaining the ability to swap models based on performance and cost.
Capital capacity remains a core asset, with over $9 billion estimated through 2028 to support a balanced approach of dividends, buybacks, and aggressive M&A.
Full-year 2026 organic revenue growth is reaffirmed at 7.5% to 8%, with Big 3 segments expected to grow approximately 9.5%.
Adjusted EBITDA margins are projected to rise 100 basis points to approximately 40%, supported by 'reimagine how we work' productivity initiatives.
The next-generation CoCounsel Legal, featuring an agentic framework grounded in authoritative content, is scheduled for a full launch in Q3 2026.
Tax, Audit & Accounting growth is expected to accelerate to 11% to 13% for the full year as revenue recognition timing shifts normalize in the second half.
Management anticipates a reacceleration in the government legal business in late 2026 as the company laps prior-year cancellations and downgrades.
The company completed a $605 million return of capital and share consolidation, reducing total share count by approximately 2%.
Q1 results included $12 million in severance expenses related to internal initiatives to automate workflows and drive operational efficiency.
Interest expense outlook was raised by $30 million to a range of $180 million to $190 million to account for recent capital return transactions.
LLM costs are increasing as AI offerings expand but are described as a relatively small portion of the total cost structure with normalization expected in H2.
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The Thomson model provides a hedge against frontier model costs and offers a specialized tool for high-accuracy legal tasks.
Management may migrate specific agent tasks to the Thomson model later this year to optimize performance and unit economics.
Management believes AI is driving a shift where law firms replace real estate spend with technology spend to automate document preparation and research.
The primary bottleneck for revenue growth is currently 'change management' within firms rather than the technology itself.
Retention rates are showing 'green shoots' of improvement across segments despite a fragmented market where firms are trialing multiple AI tools.
Management argues that competitors lack the 'source of truth' provided by Thomson Reuters' proprietary authoritative content repositories.
Q2 margins are expected to be approximately 38% due to tax business seasonality and LLM investment timing.
Second-half margins will benefit from the lapping of M&A dilution and the scaling of AI-driven productivity gains.
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