You can surface the most important information and expose narratives in documents that help tell the story behind your case or investigation. This AI-driven technology allows you to quickly identify the communications most likely to be relevant, requiring less manual review and speeding up discovery. Read on to learn about the different ways you can leverage sentiment analysis to navigate your data and expedite your path to insights.
Get to the Truth in Your Investigation
Investigating misconduct is complicated. It requires sifting through heaps of data and dealing with communication styles that vary across scenarios. Sentiment analysis levels the playing field by quickly identifying negative messages to help you determine whether individuals have engaged in problematic behaviors. This strategy can be used across many investigation types, such as:
- Employee Relations: In cases of harassment, wrongful termination, and employee discrimination, it’s the sentiment behind communications that demonstrate harmful intent. Sentiment analysis helps identify examples of potentially problematic conversations that investigators can review in context and judge accordingly.
- Detecting Fraud: When someone engages in illegal or unethical conduct, like embezzlement or withholding information that can affect stock prices, there are often conversations that hint at this behavior. Applying sentiment analysis across specific dates can divulge communications from entities that might have been “in the know” at the time of the unethical activity.
- Exfiltration: Unfortunately, sometimes data leaves an organization when it shouldn’t. Perhaps someone shares valuable IP material, or maybe an aggrieved employee departs abruptly with a book of business. Negative sentiment or anger in the communications leading up to that event can shed light on an individual’s motives and whether their actions were malicious.
To get the full picture surrounding an investigation, you need to determine not only what happened, but why it occurred, who was involved, and how they were feeling. With sentiment analysis in RelativityOne, investigators can discover the truth, no matter what situation they are dealing with.
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