Everlaw Coding Suggestions
Automate first-pass review with defensible, citation-backed AI.
AI-Powered Review for Your Largest Document Sets
Streamline your review processes with AI tools that put you in charge of the litigation and investigations process. Everlaw’s Coding Suggestions provides clear recommendations based on your customized criteria, with written justifications for every suggestion so your work remains grounded in evidence.
Precision-Focused Review that Saves Time
Code documents with specific criteria, achieving more accurate results than with first-level human reviewers. Users have leveraged it to cut review time in half, reliably coding six-figure document sets in a day.
Turn Evidence into a Strategic Advantage
Lead the transformation of litigation and investigations at a scale that manual review and traditional workflows can’t keep up with. Coding Suggestions enables teams to conduct first-pass review at an organization-wide scale, without the outsized costs associated with contract review teams.
Defensible, Verifiable Suggestions
Leverage your legal experts to verify, refine, or override the tool’s 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 all outputs grounded in your evidence.
Proven to Outperform Human 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.
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.
Customize Your Criteria
Unlike AI tools that apply generic relevance rules, Coding Suggestions applies your criteria to your case, reflecting your team’s legal judgement. Everlaw offers maximum flexibility for how you choose to evaluate your documents.
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
More Resources
Am Law 100 Firm Slashed Doc Review Time by Two-Thirds With GenAI
Using generative AI to review nearly 130,000 documents in a government investigation, an Am Law 100 firm saw major time savings with Everlaw Coding Suggestions.
Understanding 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 towards more important tasks.
Everlaw Coding Suggestions Is Transforming How Orrick Handles Litigation Discovery
In a live IP case, Orrick ran Coding Suggestions on around 10,000 documents, saving more than 50% in document review costs.
Frequently Asked Questions
How does Everlaw Coding Suggestions work?
Everlaw Coding Suggestions analyzes documents against user-defined coding criteria and recommends whether specific codes should be applied, along with a written rationale and, when available, a link to the relevant part of the document.
How accurate is Everlaw Coding Suggestions?
Everlaw Coding Suggestions is designed to perform at a level comparable to human review, helping teams identify relevant documents more quickly. Legal professionals review and validate results to ensure accuracy and defensibility.
How does Coding Suggestions improve document review workflows?
Coding Suggestions reduces manual review time by providing recommended classifications and prioritizing documents, allowing legal teams to focus on higher-value analysis while maintaining consistency.