The legal sector is entering a new phase of transformation. Artificial intelligence is opening up new possibilities to automate, analyse and secure legal operations. However, this evolution raises a central question: how can sensitive legal data be exploited while guaranteeing its security, confidentiality and compliance?
This is precisely the objective of the Legal Data Space. In this context, VisionsTrust collaborates with the Legal Data Space on topics related to secure data exchange and interoperability. This collaboration also covers the governance of legal data and the mechanisms governing its uses.
The Legal Data Space: a structuring framework for legal data
The Legal Data Space is a European data space dedicated to the secure sharing of public and private legal data.
Its ambition is clear: to create a trusted environment enabling institutions, legaltechs, law firms, companies and researchers to collaborate around data.
To achieve this, the Legal Data Space is developing a marketplace dedicated to exchanges and services within the legal sector. The project also provides AI agent creation tools. They enable legal stakeholders to design and automate new data-driven legal services.
A key challenge: making legal data exploitable
Today, data collection and storage are largely mastered. However, their exploitation remains limited.
Indeed, legal data presents significant constraints:
- high confidentiality;
- multiple stakeholders;
- strict regulatory requirements;
- shared responsibilities.
These constraints complicate exchanges. They also slow down the development of large-scale use cases, particularly in artificial intelligence.
Therefore, the challenge is not only technical. It also consists of organising interactions between stakeholders within a clear, secure and controlled framework.
The rise of agentic AI in the legal sector
The legal sector is also seeing the emergence of a new generation of tools: legal AI agents.
Unlike traditional assistants, these agents are capable of executing multiple tasks autonomously while interacting with different data sources and services.
For example, a legal AI agent can:
- automatically analyse contracts from multiple systems;
- verify the regulatory compliance of a case file;
- compare clauses with case law;
- generate contextualised legal summaries;
- automate due diligence workflows;
- assist compliance teams with regulatory monitoring;
- coordinate multiple legal tech tools within the same process.
However, these agents require secure access to particularly sensitive data. This includes:
- contracts;
- HR documents;
- regulatory data;
- private case law;
- compliance information;
- confidential corporate documents.
This is precisely where the data space approach becomes strategic.
A collaboration with VisionsTrust around data exchange
In this context, VisionsTrust collaborates with the Legal Data Space on topics related to secure data exchange, interoperability and legal data governance.
This approach aims to develop mechanisms enabling legal stakeholders to share and exploit data within a sovereign, secure and traceable framework.
The work notably focuses on:
- secure data exchange mechanisms;
- interoperability between platforms and services;
- data and access governance;
- policies related to data exchanges;
- ODRL standards applied to the use of data and AI agents.
This collaboration also contributes to the evolution of certain technological commons from the Prometheus-X ecosystem. These commons focus on contracts, policies and ODRL standards applied to data exchanges.
Towards a new generation of legal tech
Thanks to this collaboration, legal tools no longer operate in silos.
On the contrary, they can now be integrated into an ecosystem where data, services and artificial intelligence interact.
This approach notably enables the development of new use cases:
- automated generation of legal documents;
- intelligent legal assistants;
- compliance AI agents;
- automated orchestration of legal workflows;
- multi-source analysis of contracts and regulations;
- optimisation of contractual processes;
- automation of due diligence.
As a result, legal data becomes an operational lever.
It is no longer simply a stored asset, but an activatable resource within concrete projects and secure agentic AI systems.
A strategic evolution for the legal ecosystem
The Legal Data Space illustrates the evolution of the legal sector towards more collaborative, interoperable and data-oriented models.
The development of marketplaces, AI agents and data governance mechanisms is paving the way for a new generation of digital legal services.
This dynamic shows that data spaces are now moving beyond the conceptual stage. They are now being experimented with in real business contexts, with operational use cases around data and artificial intelligence.