White Paper
Everlaw AI Assistant Case Studies
See results of GenAI coding tests against real-world litigation data.
Everlaw evaluated a new LLM-powered feature, EverlawAI Assistant Coding Suggestions, against four real-world civil litigation matters. Coding Suggestions was able to code documents as responsive or nonresponsive to particular prompts with accuracy that matched, and in one case well exceeded, human performance.
Download your copy to see the results.
Download the White Paper
Thank you for requesting a copy of this report. It will be emailed to you shortly.
If you’d like to learn more about Everlaw in the meantime, check out our blog or follow us on Facebook, Twitter, or LinkedIn.
-
By Justin SmithEdiscovery Best Practices
Digital Forensics for Litigation and Investigations
Explore how legal teams leverage generative AI to transform document review, build case narratives, and optimize...
8 min read
-
By Gina JurvaUK and Europe
Beyond Point Solutions: Why Unified Ediscovery Platforms Matter More Than Features
Discover why UK legal teams should upgrade to a unified ediscovery platform to ensure UK compliance...
4 min read
-
By David PembertonAI & Law
A Guide to Trusting AI Under Pressure
Navigating the integration of AI into legal work starts with an understanding of the risks and...
6 min read
-
By Gina JurvaAI & Law
AI in Ediscovery: Where It Works, Where It Exposes You
Insights from Everlaw’s CTO, Max Christoff
7 min read
-
By David PembertonAI & Law
Navigating the Attorney’s Duty of Competence in the Age of AI
Are lawyers ethically required to use AI? Explore relevant ABA rules, emerging case law, and how...
6 min read