Lexis+ AI Legal Research Platform & AI Assistant

We employ a “humans-in-the-loop” approach where SMEs, data scientists and engineers are evaluating prompt responses and making adjustments. This is in addition to the adjustments made based upon direct user feedback, highlighting a good or bad output within Lexis+ AI. We are using a team of specialty trained legal experts to test the model’s responses to likely use prompts using a test set of prompts. These experts are trained to evaluate language model output to ensure consistency and quality.

LexisNexis is considered a leader in data privacy best practices and has established data privacy principles, governance structures and control programs designed to ensure that data privacy requirements are met, personally identifiable information is protected, and individuals’ privacy concerns are addressed across all jurisdictions where we operate. Lexis+ AI uses private models, and no third party has access to it. User sessions are also secure, meaning that the input from one Lexis+ AI user doesn’t bleed into the output of another (to preserve client confidentiality). Our models are hosted in protected accounts in commercial-grade cloud infrastructure, so we can manage performance and security.

Lexis+ AI is being developed in a manner to ensure that the output always considers the most recent content available. The foundational LLM is not being updated on a continual basis using our new content, but the latest content is utilised through our RAG approach to ensure it is considered when developing the output.

No personal data is being processed in our current offerings. We have a robust data protection process in place (and that’s been the case for a number of years) and we are working closely with our privacy and information security teams on an ongoing basis.