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A&M Chatview by Alvarez & Marsal
A&M ChatView exports chat logs and files such as, emojis, voice messages, pictures and videos from WeChat, DingTalk and WhatsApp into a near-native format for a user-friendly review experience with advanced searching capabilities.
Review more WeChat, WhatsApp and DingTalk data with ease
Alvarez & Marsal’s WeChat Discovery application, A&M ChatView does away with traditional spreadsheet reviews which are often time consuming and may miss important information such as chat context, group chats, use of emojis, voice messages, pictures, videos, articles and shared mini program messages. A&M ChatView offers near-native formatting of WeChat conversations within the Relativity platform enabling the reviewer to effectively and efficiently search, analyse and review WeChat conversations in a format consistent with the original chat conversation but with the added benefits of being in a review environment.
A&M ChatView can also support chatting software such as WhatsApp and DingTalk.
Key Benefits
Displays data such as files, photos, videos, voice messages, emojis, articles and shared mini program messages from WeChat for review in chat bubble format
Identifies keywords, chat participants and automatically organises chat by date or time
Tags with issues using colour coded highlights
Analyses relationship patterns and chat frequency with a timeline dashboard
Performs redaction and proper disclosure for transcripts
Filters
Relativity Server 2023
Relativity Server 2022
Relativity Server 2021
Compatibility
Relativity Server: 10.3 and above
Contact Info
Davin Teo
Managing Director, Head of Forensic Technology Services Asia
