When legal information moved from print to digital formats, it transformed how legal professionals accessed knowledge. Faced with growing volumes of legislation, case law, and regulatory information, lawyers needed faster and more efficient ways to find answers they could trust. Digital content helped meet that need and fundamentally changed the way legal research was conducted.
Today, legal professionals face a new challenge.
The volume of legal information continues to grow. Expectations for speed continue to increase. At the same time, legal work often requires professionals to navigate multiple sources, systems, and workflows while maintaining accuracy, consistency, and professional judgment.
Artificial intelligence offers a powerful opportunity to help meet those expectations. But for AI to create meaningful value, trusted content must do more than exist in digital form. It must be structured in ways that allow AI to understand and use it effectively.
At Wolters Kluwer, we believe we are undertaking the most significant transformation of our legal content since its digitization.
This is a journey we have already begun many years ago. Through our own platform we have transformed trusted legal content into structured legal information. This provides the common foundation that allows our content to be enriched, organized, and applied consistently across AI-powered solutions and workflows. It ensures that AI can work with authoritative legal knowledge rather than simply process text.
But AI's ability to access, analyze and process content is only the beginning.
Lawyers rarely solve problems using a single source. They connect legislation, case law, expert commentary, practical guidance, and the facts of a matter. They understand how legal sources relate to one another and use those relationships to build legal reasoning and sound judgment.
Our next step is enabling AI to work with that same context and move from structured legal information to real legal intelligence. This is the role of the legal knowledge graph.
The knowledge graph makes the relationships across our legal content explicit. It connects laws, court decisions, commentary, legal concepts, and practical guidance into a structured network that AI can navigate and understand. It adds the contextual layer that helps AI move beyond finding information to understanding how legal knowledge is connected. In doing so, it helps preserve the context that legal professionals naturally rely on when moving from research to analysis and action.
In many ways, this represents the next major milestone in the evolution of legal content.
For legal professionals, that means less time piecing together information from disconnected sources and more time applying expertise and judgment. It means research that is more contextual, answers that are easier to understand and verify, and workflows that are better aligned with the realities of legal practice.
As AI continues to evolve, trusted content remains the foundation. But in the age of AI, trust alone is not enough. Legal professionals need knowledge that is not only authoritative, but connected, contextual, and available when and where they need it. The real opportunity lies in transforming trusted content into connected legal intelligence that AI can understand and professionals can rely on.
That is why we see the knowledge graph as more than a technological advancement. It is the next chapter in the evolution of legal content and a critical step toward making legal knowledge work the way legal professionals do: connected rather than isolated, contextual rather than fragmented, and ready to support the workflows where legal work gets done. It is the biggest transformation of our content offerings since the move from print to digital.
Today, legal professionals face a new challenge.
The volume of legal information continues to grow. Expectations for speed continue to increase. At the same time, legal work often requires professionals to navigate multiple sources, systems, and workflows while maintaining accuracy, consistency, and professional judgment.
Artificial intelligence offers a powerful opportunity to help meet those expectations. But for AI to create meaningful value, trusted content must do more than exist in digital form. It must be structured in ways that allow AI to understand and use it effectively.
At Wolters Kluwer, we believe we are undertaking the most significant transformation of our legal content since its digitization.
This is a journey we have already begun many years ago. Through our own platform we have transformed trusted legal content into structured legal information. This provides the common foundation that allows our content to be enriched, organized, and applied consistently across AI-powered solutions and workflows. It ensures that AI can work with authoritative legal knowledge rather than simply process text.
But AI's ability to access, analyze and process content is only the beginning.
Lawyers rarely solve problems using a single source. They connect legislation, case law, expert commentary, practical guidance, and the facts of a matter. They understand how legal sources relate to one another and use those relationships to build legal reasoning and sound judgment.
Our next step is enabling AI to work with that same context and move from structured legal information to real legal intelligence. This is the role of the legal knowledge graph.
The knowledge graph makes the relationships across our legal content explicit. It connects laws, court decisions, commentary, legal concepts, and practical guidance into a structured network that AI can navigate and understand. It adds the contextual layer that helps AI move beyond finding information to understanding how legal knowledge is connected. In doing so, it helps preserve the context that legal professionals naturally rely on when moving from research to analysis and action.
In many ways, this represents the next major milestone in the evolution of legal content.
For legal professionals, that means less time piecing together information from disconnected sources and more time applying expertise and judgment. It means research that is more contextual, answers that are easier to understand and verify, and workflows that are better aligned with the realities of legal practice.
As AI continues to evolve, trusted content remains the foundation. But in the age of AI, trust alone is not enough. Legal professionals need knowledge that is not only authoritative, but connected, contextual, and available when and where they need it. The real opportunity lies in transforming trusted content into connected legal intelligence that AI can understand and professionals can rely on.
That is why we see the knowledge graph as more than a technological advancement. It is the next chapter in the evolution of legal content and a critical step toward making legal knowledge work the way legal professionals do: connected rather than isolated, contextual rather than fragmented, and ready to support the workflows where legal work gets done. It is the biggest transformation of our content offerings since the move from print to digital.