Relevance & responsiveness review
Documents assessed against matter-specific criteria.
AI-assisted document review — relevance, responsiveness, privilege screening and issue tagging — with attorney-level review at every decision point.
Document review is the highest-volume work in litigation and investigations — relevance, responsiveness, privilege and issue tagging across millions of pages. Generic review teams miss privilege, misclassify documents, and create downstream risk.
Opervics runs document review with trained legal specialists supported by AI-assisted review tools. First-pass screening is accelerated; every privilege and judgment decision is made by an attorney.
Documents assessed against matter-specific criteria.
Privilege candidates flagged for attorney review.
Documents tagged against issue codes defined by your team.
Attorneys verify every privilege and judgment decision.
First-pass screening accelerated without removing human review.
Review progress, QA sampling and issue distribution.
These are the same operational issues we see across clients — and the same ones our process is designed to remove.
Document volumes exceed internal review capacity.
Privilege candidates missed — privilege waiver risk.
Different reviewers tag documents differently.
Court deadlines require review capacity that doesn't exist in-house.
Review decisions not documented for defensibility.
Review costs hard to forecast at matter intake.
Every service inherits the same baseline security posture, then adds service-specific controls on top.
Confidentiality controls, restricted access and privilege-safe workflows.
NDA-bound, trained legal staff, role-based access, and auditable logs.
Attorneys verify privilege and judgment calls before delivery.
Work-product documentation and chain-of-custody maintained throughout.
Attorneys. AI-assisted review flags privilege candidates, but every privilege determination is made by a licensed attorney.
Yes — review capacity scales with matter volume. Additional trained reviewers can be assigned within days.
Relativity, Everlaw, Logikcull, Concordance and other review platforms — with role-based access set by you.
Documented coding rules, AI-assisted pre-screening and QA sampling on every batch — reported weekly.
Review progress, QA sampling rates, error rates and issue distribution — reported weekly.
Per document, per hour, or per FTE — agreed upfront.
A short conversation is usually enough to scope the matter and propose a starting point.