In many companies, legal departments still operate using three primary tools: Word, Excel, and SharePoint.
While these tools are sufficient for drafting documents and storing information, they do not allow for sufficient file structuring or effective long-term tracking.
Today, the landscape has drastically changed: information volumes have exploded, the number of cases is multiplying, and legal counsels must often manage more risks with limited teams and resources.
In this context, Artificial Intelligence tools are beginning to find their place in the daily lives of legal professionals (Doctrine, Ordalie, Jimini, Haiku, Harvey, Claude AI legal pack, and many others) not to transform the function (the wish), but to improve very concrete aspects of daily legal work (the promise).
Structuring Legal Information
Before even discussing Artificial Intelligence, a primary challenge must be addressed: structuring information.
In many organizations, files remain scattered across shared folders or individual files. This lack of organization sometimes makes it difficult to track cases or access specific information.
In fact, it only takes one misfiled document or a disregarded naming convention to complicate a search or even make it impossible.
Worse still, when a legal counsel leaves the company, a portion of the knowledge regarding their cases may disappear with them. The documents still exist, but their context or history becomes much harder to reconstruct.
These difficulties explain in part the growing interest in tools capable of centralizing legal files and organizing information in a more structured way. This movement is part of a broader trend driven by Legal Ops, whose mission is to better organize legal processes and provide legal departments with tools adapted to their specific activities.
AI: The Tireless Assistant
Once information is better organized, Artificial Intelligence can step in to facilitate certain tasks.
Numerous tools now exist to assist legal professionals in their daily work:
- Quickly analyzing a contract;
- Extracting specific information from a document;
- Summarizing voluminous case files;
- Facilitating research within documentary databases.
These use cases are often linked to a simple goal: reducing the time spent on repetitive tasks. In these instances, AI does not replace legal reasoning but acts as an assistance tool allowing for faster information processing.
However, legal professionals remain cautious in this adoption, as generative AI models can produce errors or approximations.
Indeed, in a profession where decisions and advice carry significant weight as they can involve the company’s liability this vigilance remains indispensable.
From Case Processing to Risk Management
Automating certain tasks is only the first step, as the role of an in-house legal counsel is not limited to processing files. It also involves anticipating and managing the legal risks to which the company is exposed. This mission becomes difficult when information remains scattered across documents or shared folders.
Certain platforms specifically seek to address this problem by centralizing legal files and structuring associated information. This is notably the approach developed by Exadvize, which offers a platform that automates tracking. This shifts the focus from a “case-by-case” view to true risk management, ensuring the legal function becomes a performance driver for the entire company.
Technology does not replace legal expertise; it allows for better utilization of available information.
A Rapidly Evolving Ecosystem
The market for legal tools based on Artificial Intelligence is evolving very quickly. New solutions appear regularly, whether they are document analysis tools, legal assistants, or specialized platforms.
Major AI players are also beginning to offer features adapted to legal use. Certain models can now analyze complex documents or interact with specialized knowledge bases.
At the same time, access to legal data is gradually becoming simpler. The opening of certain public databases (access to court decisions, laws, regulations, etc.) and the development of interconnection protocols between tools (MCP) are opening up new use cases for Artificial Intelligence applied to law.
For legal departments, the challenge of these technological developments is not to replace human expertise, but to rely on tools capable of structuring and leveraging legal information more effectively.
