Course Overview

This training is designed in two parts:

Part 1: Self-paced learning path (asynchronous – approximately 2 hours)

This training focuses on the skills and tools needed to customize a case workspace in preparation for document review. In the self-paced portion we'll cover:

  • Searching and analyzing case documents.
  • Structuring data using Structured Analytics Sets.
  • Automating review-related processes.

Part 2: Live Session (synchronous – approximately 3 hours)

In the live instructor-led session we'll build on what you've learned in the self-paced portion in a live RelativityOne Environment.

The learning path provides the foundational knowledge necessary for the Admin Foundations II: Review Optimization live session where you will join a cohort of other learners and a trainer to complete exercises that complement what you practiced in Part 1. You are required to complete the self-paced learning path prior to attending the live session.

Please note that this training is not a Relativity Certified Administrator (RCA) exam preparation course.

Course Objectives

By the end of this training, through a combination of lectures, explorations, demos, and exercises, learners will be able to optimize and streamline the document review process in Relativity.​

In this self-paced training, you will specifically learn how to do the following:

  • Create a widget and add it to a view to optimize data visualization
  • Create saved searches to support the review process
  • Build a dtSearch index, Search Terms Report, and Persistent Highlight Set
  • Structure data using Email Threading and Textual Near Duplicate Structured Analytics Sets
  • Identify documents needing translation by running a Language ID Structured Analytics Set
  • Setup Automated Workflows
  • Create and assign a Review queue in Review Center

In this live session, you will specifically learn how to do the following:

  • Create saved searches to support the review process​
  • Refine a search index to provide more search capabilities for reviewers ​
  • Run Name normalization to generate a communication analysis​
  • Create a coding QC review queue for Second Pass reviewers ​

Audience: Litigation support professionals and project management staff who would like to learn about the skills and tools needed to customize a case workspace in preparation for document review.

Course Length: Approximately 5 hours (2 hours - self-paced, 3 hours - live)

Prerequisites: Introduction to RelativityAdmin Foundations I: Case Administration

How to Attend a Training

Trainings are available for open enrollment throughout the year. We can also work with you to schedule a closed-enrollment session for your team.

Open Enrollment

Where: Open enrollment trainings will be held either entirely virtually or entirely on-site at one of Relativity's offices. When registering for training, review the training city details or email training@relativity.com to confirm if your training is virtual or on-site.

Who: The first 12 people to register.

Cost: $350.00 per attendee 

When: Currently scheduled trainings can be found in Relativity Learning. Relativity will add any newly scheduled sessions at the end of every quarter (March, June, September, December).

Policies: By registering and making payment for the training, you confirm your acceptance of and agreement to comply with the Terms and Conditions established for the training program. 

Closed Enrollment

Where: Closed enrollment trainings can be held either entirely virtually or entirely on-site. 

Who: Your team, with up to 12 attendees

Note: A training agreement is required before training dates can be held. 

When:

  • Date determined by Relativity and your team
  • Can be scheduled Tuesday, Wednesday, Thursday, or Friday
  • Six to eight weeks' notice is requested
  • All dates may not be available
  • Sessions are booked on a first-come, first-served basis
  • Email training@relativity.com to schedule

Cost:

  • $350.00 per attendee
  • Five attendee minimum
  • Travel and related expenses for the trainer, if applicable