EverlawAI Coding Suggestions
Outperform manual review with GenAI-powered Coding Suggestions.
Outperform manual review with GenAI-powered Coding Suggestions.
Streamline your review processes with AI tools that achieve remarkable accuracy and consistency in document coding and classification. Everlaw Coding Suggestions expedites the coding phase of ediscovery, providing clear recommendations based on your customized criteria, with written justifications for every suggestion.
Craft unique coding criteria specific to the needs of your case, then apply these individually or in bulk across your document corpus. Everlaw offers maximum flexibility in choosing how to evaluate your documents.
Streamline your decision-making with AI that evaluates documents against your specific criteria, providing ranked recommendations from high to low confidence. Coding Suggestions provides suggested codes ranked “Yes,” “Soft Yes,” “No,” or “Soft No,” with written explanations for each coding recommendation.
In a real-world case study and tested on actual case documents, Everlaw’s Coding Suggestions showed strong performance in recall and precision and surpassed human review by a significant margin on recall.
Because we’ve standardized on Everlaw, we are able to bring all of our training and education together. Everybody across the platform knows how to use it in a simple, consistent way. That simplicity and consistency really helps us.
Using generative AI to review nearly 130,000 documents in a government investigation, an Am Law 100 firm saw major time savings with EverlawAI Assistant’s Coding Suggestions.
Coding Suggestions evaluates documents and suggests codes for them to speed up the review determinations process, allowing legal teams to direct their time and resources toward more important tasks.
In a live IP case, Orrick ran Coding Suggestions on around 10,000 documents, saving more than 50% in document review costs.