Structural workflow problems helped create durable demand

In our experience, some of the more defensible technology and tech-enabled services businesses tend to solve problems that are deeply embedded in how professionals work. For legal professionals, the cost of inadequate research tools is visible and recurring: missed precedents, outdated guidance and hours spent navigating fragmented sources all carry professional and commercial risk. Doctrine's platform aims to address this directly, aggregating and contextualizing legal content in ways that can meaningfully reduce research time and professional risk. In our view, when a product becomes deeply embedded in a high-stakes professional workflow, retention tends to be stronger, helping to create a more durable foundation from which to build.

In high-stakes verticals, proprietary data can be the foundation of defensible AI

Access to generative AI models is increasingly commoditized. In consumer or low-stakes environments, that may be sufficient. In domains where errors carry real professional, financial or regulatory consequences, such as law, healthcare or financial services, what we believe separates credible AI from generic AI is the quality, depth and structure of the underlying data. Doctrine had spent years aggregating legal content across civil law jurisdictions, building a proprietary legal graph that structured relationships between cases, legislation and legal concepts in ways that are designed to support precise professional reasoning. We believe the comprehensive nature of that data foundation – built through deep customer relationships, sustained technical investment and coverage of data sources that are, in many cases, dispersed across the domestic and EU-level court system – was difficult for new entrants to replicate and helped to position the company to benefit as generative AI capabilities matured. Doctrine released new capabilities in research, drafting and analytics throughout 2024 and 2025, and, in our view, its existing data infrastructure helped enable the company to deploy these with the accuracy and reliability that legal environments demand. We believe this pattern — where proprietary data gathered through genuine domain expertise becomes the primary competitive moat — is one of the more durable structural advantages available to vertical AI businesses.

Local expertise can be a durable competitive advantage in regulated markets

For many technology businesses, a strong product can scale across geographies with relatively modest localization. Regulated professional markets tend to work differently. Language, legal tradition, court structure, document formats and professional workflows can vary meaningfully across jurisdictions, and professionals in these markets need tools calibrated to their specific context. Doctrine grew both organically and through acquisitions, building jurisdiction-specific insight in each market it entered, combining comprehensive local legal data with an overlay of AI workflows designed to improve understanding of how the law in that jurisdiction works. In 2024, the company expanded into Italy, with dedicated personnel, a locally adapted product and market-specific distribution, creating a blueprint for future geographic expansion. This commitment to local precision can be difficult for generalist platforms to replicate and, in our view, became a meaningful part of Doctrine’s competitive positioning as it expanded into each new market.

Disciplined M&A can be a force multiplier for organic momentum

In our experience, M&A at the growth stage works best when it is part of a deliberate strategy, one where each transaction has a clear role to play in a larger plan. For Doctrine, that strategy was largely geographic: each transaction either deepened coverage in an existing market or established a local presence and content library in a new one. Over Summit’s investment period, Doctrine executed five acquisitions — Legaltile, Jobexit and Predictice to help consolidate the French market, Dejure to enter Germany, and Maite.ai to enter Spain. We believe each acquisition was integrated in a way that preserved local brand identity and team leadership while bringing Doctrine's AI platform and data layer to bear quickly. The result was an expansion from a France-only business to a platform serving 27,000 legal professionals across five European markets in under three years. We believe the discipline with which Doctrine approached each transaction is a model worth examining for any growth-stage company considering M&A as part of its expansion strategy.