Schedule a Free RelativityOne Workshop for Your Team or Firm

    Work in a Live Database

    Receive user access to a RelativityOne workspace. Exercises will walk through a demo case, allowing you to apply the tools and workflows in a real scenario and see the real results and value created.

    Have Direct Access to Experts

    Participants will work in small groups directly supervised by one of our experts, each holding 20+ years of experience and holding the highest levels of certifications.

    Analytical Tools and Capabilities

    Learn how to leverage conceptual and structural analytics to explore and assess your case documents, streamline and add efficiency to your review process, and construct searches and find documents that you might have missed via more traditional means.

    Continued Learning

    With direct access to our experts and 2 weeks of continued user access, understanding and mastering the tools doesn’t end with the workshop. We strive to ensure every participant understands not only how to leverage these tools but also how to effectively communicate their value proposition. 

    Meet the Experts

    Amanda Cook

    Director of Legal Discovery Consulting

    With over 20 years of eDiscovery experience, Amanda formerly practiced as a Litigation Attorney and is licensed in three jurisdictions, Pennsylvania, Massachusetts, and the District of Columbia.

    Additionally, Amanda has achieved certification as a Relativity Certified Administrator and User, RelativityOne Pro and is a Certified eDiscovery Specialist.

    Josh Treat

    Director of Analytics and Advanced Technologies

    Josh has worked in the eDiscovery industry for 20 years and holds more than 20 different certifications across nearly all eDiscovery tools.

    Josh is particularly proud of attaining the status of Certified Relativity Master and Certified eDiscovery Specialist.

    Tracey Oldenburg

    Director of eDiscovery

    Having worked over 30 years in the eDiscovery industry, along with being a Relativity Certified Expert, Relativity Certified Administrator and Relativity Certified Analytics Specialist, Tracey has handled everything from scanning paper to programming.

    What You'll Learn

    Keyword Expansion:

    Submit a single keyword and be provided with a list of highly correlated terms or synonyms in your document set. When you submit a block of text, you receive a list of single terms that are strongly related to that content, including words in your index that you didn’t expect. You can use keyword expansion to see how different language is used to express the same or similar concepts.

    Find Similar Documents:

    You can use Find Similar Documents to identify documents that are conceptually similar to the one you are viewing. Relativity looks for a similarity of ideas or concepts within your set of documents, and can return documents that differ textually but are similar conceptually. As a result, this feature can identify documents that you might not have found via conventional means.

    Concept Searching:

    You can use Concept Searching to find information without a precisely phrased query by applying a block of text against the database to find documents that have similar conceptual content. A concept search performed in Relativity Analytics reveals conceptual matches between the query and the document quickly and efficiently, so you can focus on the concepts that you deem important.


    Analytics uses clustering to create groups of conceptually similar documents. With clusters, you can identify conceptual groups in a workspace or subset of documents using an existing Analytics index. Unlike categorization, clustering doesn’t require much user input. You can create clusters based on your selected documents without requiring example documents or category definitions.

    Near Duplicates:

    Relativity can identify textually similar documents to assist in and speed up the review process. Near duplicate analysis is best suited for grouping documents which can then be batched for review based on similarity, or used to create new document sets for further analysis. Reviewers can view similar documents at the same time based on their textual similarity. 

    Email Threading:

    An email thread is a single email conversation that starts with an original email (the beginning of the conversation), and includes all of the subsequent replies and forwards pertaining to that original email. Email Threading greatly reduces the time and complexity of reviewing emails by gathering all forwards, replies, and reply-all messages together.