At the Everlaw Summit in San Francisco, AJ Shankar, founder and CEO of Everlaw, discussed the company’s commitment to responsible AI development. His keynote highlighted new AI features and the core principles guiding Everlaw’s development of AI technologies.
Shankar announced the general availability of Everlaw’s AI offerings, which include the Review Assistant, Coding Suggestions, and Writing Assistant, now available as part of the Everlaw AI Assistant. These tools are designed to assist in reviewing and categorizing documents, as well as analyzing related content.
The three core principles underpinning Everlaw’s development approach are privacy and security, control, and confidence. Each principle ensures responsible deployment and use of AI within the e-discovery field.
- Privacy and Security: Emphasizing robust data integrity, Everlaw mandates stringent data retention policies with its large language model (LLM) providers, ensuring no data is stored or used for training beyond the immediate query.
- Control: Users retain control over data visibility and access, with clear notifications when using AI tools. Administrative controls further allow management of AI feature access at organizational levels.
- Confidence: Despite the potential for AI errors like hallucinations, Shankar noted the importance of embedding AI into existing workflows and focusing on precise use cases to enhance reliability and user trust.
These principles were discussed in the context of new features available on the Everlaw platform. The AI tools are designed to enhance the legal discovery process, with the ability to assist in reviewing, coding, and writing functions.
Everlaw’s continual development of AI technologies not only includes features that are adaptive to user workflows but also those that foster operational efficiency and dependability. Clients like Cal Yeaman from Orrick, Herrington & Sutcliffe expressed initial skepticism, but found the AI tools surprisingly accurate and cost-effective compared to traditional review methods.
Beyond AI, Everlaw is advancing its platform capabilities in other areas, continuing to allocate a significant portion of its budget to various feature enhancements and new product developments. This includes offering multi-matter predictive coding models and improved data visualization tools.
For more detailed insights into the keynote address and additional developments announced at the summit, visit the full article on LawNext for comprehensive coverage.