Legal AI & Confidentiality
Using on-cloud AI services confidentially
Legal professionals increasingly embrace AI to enhance their workflows. They mostly use today services delivered via the cloud—a practical choice since only a few firms can support the computing infrastructure needed to run large language models at the core of generative AI technology.
Practically, this implies that their data, as well as their client data, are physically stored or transit outside the firm’s premises.
While modern enterprise cloud services offer robust, multi-layered protection, they rely largely on trusting vendors (cloud providers, hardware manufacturers) with their security implementations. Users lack direct control over the underlying infrastructure. They can rely on contracts and policies that guarantee state-of-the-art security measure implementation. But these contracts and policies can also be ambiguous when it comes to the retention and use of data for AI model training purposes.
For legal professionals, whose practice demands uniquely high standards as regard the protection of their confidential information – from preserving attorney-client privilege to upholding ethical obligations – it is especially important to consider all solutions at their disposal to ensure the highest level of protection for their data when using AI services.
Data Pseudonymization, a Solution for Legal Professionals
In this context, anonymization and pseudonymization come into play as a critical tool.
Pseudonymization in AI systems involves substituting identifiable information within user data with artificial identifiers or tokens before processing. This technique ensures that sensitive details are masked, allowing AI models to make sense of the data without accessing actual personal or sensitive information. By decoupling data from real-world identities, pseudonymization significantly reduces the risk of unauthorized exposure if the data is ever intercepted or accessed illegitimately. This approach maintains data utility for analysis while upholding stringent confidentiality standards essential in legal practices.
Recognizing the limitations of current systems, several legal professional orders, including the Conseil National des Barreaux in France[1], have issued recommendations urging the use of pseudonymized requests in AI systems. These guidelines emphasize that true data confidentiality can only be achieved when sensitive identifiers are effectively masked before processing.
Elevate Your Confidentiality Game with Copilex
Founded by an experienced dispute resolution lawyer, Copilex has placed confidentiality at the forefront of its design by integrating an in-house model that pseudonymizes every piece of data on the fly.
The system dynamically replaces sensitive terms with artificial identifiers, ensuring that the original data remains hidden throughout AI processing. Even if intercepted, the information stays indecipherable and fully compliant with strict legal confidentiality standards.
By immediately pseudonymizing all data as it enters the system, and de-pseudonymizing them in its outputs Copilex offers a proactive solution tailored to the high security demands of legal work.
Furthermore, Copilex empowers its users with full control over the pseudonymization process, allowing legal professionals to customize data masking so it meets both regulatory requirements and specific operational needs.
This combination of technical innovation and user-driven control makes Copilex a game-changing solution, significantly reducing the risks associated with AI-driven legal work while providing peace of mind to legal firms.
Discover how Copilex can transform your legal work in full confidence, book a demo meeting now!