Amplify your efforts with powerful technology.
When you're facing growing volumes of unstructured data and tight deadlines, Relativity Analytics and Assisted Review amplifies your e-discovery efforts with visual data analytics and machine learning technology. Bring Relativity Analytics and Assisted Review into your workflow at any time, for any project, to follow an investigative pattern of thought and get to a focused list for review.
RelativityOne Analytics and Assisted Review is fully integrated to minimize timely and risky data transfers between platforms and to make it seamless to use at any time in your project, from early case assessment through production.
Minimize Your Data Set
Examine the custodians, terms, and concepts important to your case to eliminate non-relevant data and save costs downstream. Learn more about Relativity ECA & Investigation.
Take an Investigative Approach
Visualize patterns in your data, explore your data in layers, and uncover trends to take action right away.
Organize and Prioritize Documents
Arrange your documents by conversation, concept, and language. Uncover similarities to control what’s brought into focus and get down to a targeted list for review.
QC and Prepare for Production
Use analytics and technology-assisted review to identify inconsistent coding decisions, and have confidence in your production.
"Relativity helps us organize all the streams of evidence and provides the analytics capabilities we need to conduct an intelligent investigation, fast. Having mastery of the facts, with certainty, changes the game entirely."
BENNETT BORDEN, Chief Data Scientist and Partner
Easy Ways to Use Technology-assisted Review
Technology-assisted review functionality uses a powerful analytics engine to find relevant documents faster with full transparency, backed by defensible statistics. Because each case is unique, Assisted Review workflows give you options and allow you to take the best approach for your project.
Data Visualization & Analysis Made Easy
Pick what data you want to see—and where and how you want to see it—so you can get to the facts faster.
Target the Documents that Matter
Display your data as a map of conceptually similar documents and visualize any metadata or coding field to dig into the substance of a case.
See Where Concepts and Work Product Intersect
Overlay metadata and coding information on top of clusters to uncover patterns in your data or gaps in your analysis.
Get the Full Story Behind an Email Thread
Use unique visualizations to gain more clarity and insight into a conversation and confidently code complicated email threads.
Investigate and review data faster than ever with the control and flexibility you need to do it accurately and defensibly.
Find What Works
Use multiple features simultaneously or focus on the few that make a difference for the unique needs of each case.
Use It When You Need It
Turn to Analytics and technology-assisted review at any time throughout your project, from investigating what’s there to prepping for production.
Support Multilingual Matters
Take advantage of multi-language email threading support to reduce review time for litigation or investigations that span the globe.
When faced with finding hidden assets, the firm used Relativity’s email thread visualization to investigate the defendant’s financials and uphold their client’s $12 million judgment. Watch the video to learn how.
Ready to use RelativityOne?
Resources You Might Like:
An Analytics Cookbook for Complex Cases
Learn how to build a cutting-edge e-discovery practice that can handle anything.
5 Healthy Analytics Habits of the Most Successful e-Discovery Teams
Check out a collection of insights from e-discovery analytics veterans who know what it takes to make the most of the technology and drive successful outcomes.
Learn how the firm used Relativity Assisted Review software to find 1 key document among 2 million, and increased their settlement offer by 10 times.
Data Analytics Primer4 Tips (and 9 Resources) to Get Your Feet Wet with Machine Learning
Where does one start with data analytics technology? Get four tips and nine related resources to get started.