Sat. Apr 13th, 2024

Content Assessment: A Pivotal Moment for Mobile Discovery? PME: A Powerful Tool for Targeted Remote Collections

Information - 93%
Insight - 94%
Relevance - 92%
Objectivity - 91%
Authority - 91%



A short percentage-based assessment of the qualitative benefit of the recent post highlighting Pivotal Mobile eDiscovery (PME) for Android and Apple/iOS remote targeted collections.

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Background Note: Mobile eDiscovery, the process of identifying, collecting, and producing electronically stored information from mobile devices for legal purposes, currently grapples with a myriad of challenges. Traditional methods are proving to be outmoded, inefficient, and rigid, contributing to high costs, security risks, inconsistent data analysis, and incomplete data sets. These problems frequently result in a waste of time and resources, amplified risks, and potential loss of cases and clients. Pivotal Mobile eDiscovery (PME) could mark a turning point for mobile eDiscovery. By offering targeted remote collection for both Android and Apple/iOS devices, leveraging AI capabilities for efficient data filtering and analysis, and maintaining rigorous data protection standards, PME tackles the challenges head-on. As a result, it provides a robust and efficient alternative to the dated, inefficient, and costly practices currently plaguing the mobile eDiscovery market.

ComplexDiscovery Backgrounder*

A Pivotal Moment for Mobile Discovery? PME: A Powerful Tool for Targeted Remote Collections

Overview of Pivotal Mobile eDiscovery (PME) for Android and Apple/iOS

Mobile eDiscovery is currently facing a number of challenges. The market is outdated, inefficient, inflexible, and costly. These issues result in time lost, restrictive practices, inefficient processes, security risks, inconsistent data analysis, siloed data consolidation, incomplete device datasets, and complex elements that create delay and confusion, leading to more risk, lost time and money, lost cases, and lost clients. Pivotal Mobile eDiscovery (PME) offers a solution to these challenges.

PME is a unique mobile device data collection and analysis system for eDiscovery and data discovery in highly regulated and litigated markets. The system is client and case focused, and its developers are attuned to the needs of the industry. PME is an outgrowth of patented AI technology designed, built by data scientists, and developed on a foundation of more than 12 patents in the process of being filed.

One of the key features of PME is its support for targeted remote collections. PME supports both Android and Apple devices and is globally deployable. This broad range of support means that PME can be used to remotely collect data from mobile devices running on either of these operating systems, no matter where they are located in the world.

PME’s remote collection capabilities are designed to be easy to use and efficient. The system uses a containerized software agent architecture that can be deployed remotely, allowing for targeted data collection without physical access to the device. This frictionless approach makes it possible to collect data from mobile devices promptly and cost-effectively.

In addition, PME’s data filtering and search capabilities are based on AI frameworks, allowing for precise and accurate data collection. This capability means only the relevant data is collected, reducing the time and resources needed for data processing and analysis.

PME provides comprehensive mobile data collection, consolidation, analysis, export, and reporting capabilities. Users can plug in their mobile device, pull data from the device, pick and analyze the data needed for their case, and push the data to their existing eDiscovery platform. This approach makes it easy for users to collect, analyze, and use mobile data in their cases.

The PME solution provides actionable insight to users by allowing users to integrate, interrogate, and cross-reference data in one dashboard. Data can be easily exported or imported into eDiscovery provider platforms for new insights. The solution provides a complete audit of all mobile datasets, including messaging, images, social media, and video.

PME is also GDPR compliant, with advanced data provenance and protection capabilities. This privacy and data protection focus means that PME ensures that all data collected is handled in accordance with GDPR, providing peace of mind for clients who need to comply with these regulations.

PME can be deployed in various frameworks, including Cloud, Hybrid, Data Center, and Laptop options. This flexibility allows clients to choose the deployment option that best fits their needs.

PME has a feature-rich AI-centric technology roadmap, with more complex AI capabilities planned for future releases. This development roadmap, coupled with proven product results, means that PME will continue to evolve and improve, providing even more advanced capabilities for clients in the future.

PME’s support for Android and Apple devices and its advanced remote collection capabilities make it a powerful tool for eDiscovery. If you want to learn more about PME or try it out, you can sign up for a conversation and free trial on their website.

Learn more about PME today at PWE Introduction (

Pivotal’s PME solution reduces time, risk, cost, and waste in the mobile eDiscovery market. It offers a powerful alternative to outdated, inefficient, inflexible, and costly practices.

*Assisted by GAI and LLM Technologies

Additional Reading

Source: ComplexDiscovery


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