How to Review Audio Files Using eDiscovery AI

How to Review Audio Files Using eDiscovery AI

 eDiscovery AI makes it easy to summarize and classify audio content just as efficiently as text-based documents. This guide will walk you through the process of reviewing audio files using our AI-powered system.

            1.      Getting Started

    1. Send Documents to eDiscovery AI: Begin by using the Relativity Mass action, Send to eDiscovery AI from Relativity.
    2. Enter your Prompts: Specify one or more detailed prompts describing the issues to be identified during document review, the same way you would for text-based documents.

            2.      Reviewing Audio Content

    1. Native Audio Review: eDiscovery AI will review the native audio file and analyze it based on the prompts entered by the user. This is not a review of a transcript but rather a full native audio review of each file.
    2. Sentiment Analysis: eDiscovery AI is capable of understanding sentiment and tone within audio files allowing you to identify instances where a customer from a call center is upset, or where a meeting attendee was speaking in a hostile tone to a coworker.
    3. Audio Clarity: eDiscovery AI can effectively review audio files even if there is significant background noise or speakers have strong accents even though human reviewers tend to struggle with this type of review.

            3.      Audio Review Output

    1. eDiscovery AI Summary: For every audio file, you’ll get a succinct summary of the entire file including the primary subject matter of the file.
    2. Classification: eDiscovery AI will review the audio files based on the criteria described in your prompts and will classify each file for relevance based on that criteria, just like with text based documents.
    3. Explanation: Every classification will also include an explanation describing why the file was classified as relevant or not relevant to help provide clarity and expedite any QC review. 

            Remember, with eDiscovery AI, you can efficiently process, understand, and analyze audio content, turning hours of recordings into searchable, classified data that integrates seamlessly with your text-      based eDiscovery process.


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