Thank you for sharing!

Your article was successfully shared with the contacts you provided.

LWIA Winners Large-13_616x372

Finalists: Hitachi Consulting UK; Litera Microsystems; OneTrust; SaltDNA (highly commended); Trusted Data Solutions.

Advanced Discovery’s mobile-data-capturing eDiscovery tool saw it triumph in the supplier innovation category for data management.

The tool – which one judge described as like WhatsApp for legal – makes the review and analysis of mobile data both more efficient and more robust.

Whereas traditional mobile data interrogation has tended to involve looking through plain-text data without any embedded content, Advanced Discovery’s Advanced Message Review tool (which will form part of a wider suite of complementary products following the firm’s merger with Consilio) groups the two datasets together, ensuring nothing is viewed out of context (reducing the risk of acting on the meaning of text without seeing any associated content, such as photos).

Already being used by clients in high-profile cases, AMR collects data for use as evidence from mobile phones and other messaging services, and presents the findings in a user-friendly speech-bubble-style format, similar to how messages are displayed on mobile devices.

It can also analyse interactions between individuals across multiple messaging applications and bundle them together into one master conversation, avoiding the need to review numerous interactions across different platforms.

The tool is estimated to reduce reviewable content by more than 90%, cutting the time needed to review the data by about a quarter.

Spotlight Jobs


Legal Week Newsletters & Alerts

Sign Up Today and Never Miss Another Story.

As part of your subscription, you can sign up for an unlimited number of a wide range of complimentary newsletters and alerts. Get the timely legal news and critical analysis you cannot afford to miss. Tailored just for you. In your inbox. Every day.

Copyright © 2019 American Lawyer Media International, LLC. All Rights Reserved.