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EverlawAI Coding Suggestions

Outperform manual review with GenAI-powered Coding Suggestions.

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Automate First-Pass Review

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.

Reduce Review Time
Code documents with specific prompts, achieving faster and more accurate results than with first-level human reviewers. Coding Suggestions users have cut review time in half, reliably coding six-figure document sets in a day, with significant cost and time savings when compared to traditional managed review.
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Outpace the Opposition
Lead the transformation of litigation and investigations, at speeds manual review and traditional workflows can’t keep up with. Coding Suggestions significantly reduces review costs while providing fast insights for a strategic advantage.
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Easily Verify Suggestions
Leverage your legal experts to verify, refine, or override EverlawAI suggestions. For every code it proposes, Coding Suggestions provides a clear rationale and cites the specific section of the document that supports its recommendation—keeping you firmly in control.
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Customize Your Criteria

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.

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Nuanced Document Coding

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.

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Surpass the Limits of Manual Review

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.

Bill Vance
Chief Technology Officer, Adams & Reese
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