Thursday, January 29, 2015

Consensus CodingSM – a unique, innovative methodology

The Problem with Human Review
We believe in human review. However, even well trained, highly qualified subject matter experts disagree and
their coding decisions may vary greatly.
Human review is also time-consuming, costly and hard to quantify. It’s difficult to effectively measure the quality
of subjective decisions so as to maximize the defensibility of a document review.
Nonetheless, human review is an essential part of litigation. Even processes that augment and extend human
review – such as technology-assisted review (TAR) – rely on human review within the process.
The Solution
iDS confronts these challenges with Consensus CodingSM – a unique, innovative methodology that applies the
feedback mechanisms from information retrieval (like those used to train TAR engines) and pairs them with an
evolving assessment of individual reviewer performance. The result is a measured reliability ranking for each
document tag. Consensus CodingSM assesses the review quality at the document level and at the reviewer level.
It’s not all about technology. Consensus CodingSM is a tailored, comprehensive strategy that combines expert
testimony, experienced consultants and best practices to ensure the successful management of the e-Discovery
document review process for law firms, corporations and document review companies.
The Benefits
! Strengthen defensibility with measurable results.
• Assess document review quality. Achieve a predetermined quality confidence threshold based on
coding decision accuracy. Single documents and the document set are reviewed until they meet or
exceed that threshold.
• Assess individual reviewer quality. Track individual performance by document and within projects
so you can identify the best reviewers by subject matter and document type. Equally important,
you can quickly remove underperforming reviewers.
• Maintain accuracy regardless of scale. Maintain coding decision accuracy regardless of the number
of reviewers or the volume of documents.
! Train TAR engines. Create accurate, measurable seed sets for TAR training and validation.
! Reduce costs. Achieve reliable decisions faster. Work confidently with a wider variety of document
reviewers based on quality ranking rather than tenure, hourly rate or location.
! Built on Relativity®. Works seamlessly with Relativity® and other document review platforms.
! Get back to business. Consensus CodingSM gets you out of e-Discovery and back to business.

By Guest Blogger: iDiscovery Solutions