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These white papers explain various topics related to Relativity.
| Title | Description |
|---|---|
Active Learning in RelativityOne Review Center |
This whitepaper provides an in-depth look at Review Center’s underlying technology so you can understand exactly how its AI helps you find relevant documents faster. |
Understanding Security in RelativityOne |
This whitepaper covers Relativity’s comprehensive security program so you can know how to keep your data safe. Download PDF >> |
A Focus on Security and Privacy in Relativity’s Approach to Generative AI |
This whitepaper demonstrates how we are working tirelessly to provide you with the most secure experience possible with Relativity aiR. Download PDF >> |
Sentiment Analysis: Relativity’s Approach to Developing Responsible AI Solutions for e-Discovery and Investigation |
This whitepaper outlines how we developed sentiment analysis, a new RelativityOne capability that leverages AI algorithms to detect positive and negative tones and other emotions within data. Download PDF >> |
AI vs Humans in the Field of Law: Three things every legal professional needs to know to survive and thrive in the age of AI |
This whitepaper to covers how legal teams can leverage powerful AI whilst retaining the skills and insights that are inherently human. Download PDF >> |
Courts Often Disfavor Full-Disk Imaging, But How Much is Too Much? |
This whitepaper examines the concept of proportionality in e-discovery. We’ll look at case law and commentary on proportionality—and possibly save you some money—because it turns out full-disk imaging is not required for most e-discovery collections. Download PDF >> |
AI for PI: Find and Redact Personal Information with AI-Powered Workflows |
This whitepaper provides an overview of how AI-based personal information identification is a game changer for large enterprises and law firms. Download PDF >> |
Transforming Your e-Discovery Practice by Moving to the Cloud |
This whitepaper covers why forward-thinking law firms are moving to the cloud to transform their e-discovery practices. Download PDF >> |
9 Questions Government Agencies Should Answer When Modernizing e-Discovery Technology |
This whitepaper covers the most important topics government agencies should consider when modernizing e-discovery, including avoiding the most common pitfalls, maximizing ROI, and future-proofing e-discovery technology. Download PDF >> |
Modernizing e-Discovery with AI and the Cloud for Government Agencies |
This whitepaper provides an overview of how government agencies and constituents benefit from new e-discovery technologies. Download PDF >> |
Understanding the Components of Computer-Assisted Review and the Workflow that Ties Them Together |
This paper defines each step in the computer-assisted review process—highlighting key elements and their importance—and provides an example of an effective workflow. Download PDF >> |
Active Learning in Technology-Assisted Review |
This paper explores the technology behind the active learning workflow as well as how it works from beginning to end. Download PDF >> |
