EverlawAI Predictive Coding
Surface critical documents faster with AI-powered review.
Prioritise Evidence Faster
Accelerate your review by letting Predictive Coding prioritise high-value evidence based on your team’s coding decisions, slashing review time without sacrificing quality. Jump-start new matters using previously trained models across your organisation, and overlay these predictions onto visual clusters for a rich, interactive view of your entire corpus.
Powerful Technology-Assisted Review
Everlaw’s Predictive Coding learns from existing review decisions to predict how your team will evaluate the remaining, unreviewed documents. Quickly move through massive document sets and identify your most valuable evidence first.
Leave Manual Review Behind
Slash review time across your data sets with technology assisted review. Everlaw’s Predictive Coding allows your teams to move faster than ever, without sacrificing quality.
Never Start from Scratch Again
Save your models to use across matters, jump-starting projects with your previously-trained Predictive Coding models, tailored to the types of legal review your teams face regularly.
Ease of Set Up
Everlaw’s Predictive Coding is quick to set up, easy to use and included in your standard Everlaw subscription.
Multi-Matter Models
Create powerful libraries of previously trained predictive coding models, available for use in all projects across your organisation.
Overlay with Clustering
Overlay your Predictive Coding results on top of Everlaw’s Clustering visualisation for a rich, interactive heat map of your entire document corpus.
Getting through huge data sets is already daunting. Everlaw not only provides these powerful tools—specifically Predictive Coding and Clustering—it provides the training and support necessary to utilise them efficiently.
Leah Thompson
Litigation Paralegal, Bienert Katzman Littrell Williams LLP
Frequently Asked Questions
How does predictive coding help legal teams review documents more efficiently?
Predictive coding uses machine learning to identify patterns in reviewed documents and prioritize other documents that are likely to be relevant. This helps legal teams focus review efforts on the most important materials first and reduce the amount of manual document review required.
How does EverlawAI Predictive Coding support technology-assisted review (TAR)?
EverlawAI Predictive Coding applies TAR techniques to help legal teams train models based on reviewer decisions. As reviewers code documents, the system continuously refines its predictions to improve prioritization and streamline document review.
How can predictive coding improve large-scale document review projects?
Predictive coding improves large-scale document review by helping teams prioritize likely relevant documents first, so reviewers spend less time on low-value material and more time on what matters.
How does Everlaw ensure transparency in predictive coding workflows?
Everlaw supports transparency in predictive coding workflows by making the model’s inputs, outputs, and validation metrics visible to users rather than treating the workflow as an opaque ranking engine. This helps legal teams maintain control over the review process while using machine learning to improve efficiency.