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ModeOne + Orbital Global Data Consulting Remote, Targeted Mobile Data Collections at Global Scale
The Challenge When COVID-19 restrictions eliminated the ability to perform on-site collections, Orbital Global Data Consulting faced a pressing challenge: how to support its clients with rapid, defensible mobile data collections across borders. A critical matter...
ModeOne Technologies Named “Overall LegalTech Innovation of the Year” by the 2025 LegalTech Breakthrough Awards
ModeOne Technologies (ModeOne), the leader in remote, targeted smartphone data collection, has been named the Overall LegalTech Innovation of the Year by the 6th Annual LegalTech Breakthrough Awards program. The LegalTech Breakthrough Awards recognize the world’s...
ModeOne Featured in the ABA Journal
We’re proud to share that ModeOne was highlighted in the American Bar Association (ABA) Journal’s recent article, “Justice by Design: Can legaltech deliver on its promise?” The feature recognizes ModeOne’s updated integration with Relativity, which simplifies mobile...
ModeOne CEO Matt Rasmussen to Speak at Southern Illinois University Simmons Law School
ModeOne Technologies is proud to announce that CEO and Founder Matt Rasmussen will be speaking later this month at Southern Illinois University Simmons Law School’s eDiscovery class, where he’ll share insights on the future of digital forensics, mobile data...
Case Study: 24-Hour Mobile Data Collection from Request to Production
Written by Page One Legal, Featuring ModeOne The Challenge: Fast, Targeted Mobile Collections Early one morning, a top Am Law 200 firm faced a high-pressure deadline. They needed to collect, process, review, and produce mobile data from four custodians within 24...
Mobile Data Collection in Criminal vs Civil Cases: Understanding the Differences and Navigating the Path Forward
ModeOne in the News | Published by The American Bar Association | Written by Matthew Rasmussen, CEO and Founder, ModeOne This article explores how investigative needs differ across legal contexts and why a “one-size-fits-all” approach to mobile data collection no...