How eDiscovery AI Understands Context in Document Review
eDiscovery AI goes beyond simple keyword matching, demonstrating an advanced understanding of context, sentiment, and tone. Here's how it works and how you can leverage this capability.
1. eDiscovery AI's Contextual Understanding
a. Thread Tracking: eDiscovery AI follows entire conversation threads, understanding how messages relate to each other over time.
b. Topic Progression: It recognizes how topics evolve and change within a conversation.
c. Implicit References: The system can infer references to previous parts of a conversation, even when not explicitly stated.
2. Linguistic Context Interpretation:
a. References: The AI correctly interprets pronouns and other referential expressions, linking them to the appropriate subject.
b. Filling in the Blanks: It can understand omitted but implied information in sentences.
c. Common Expression Recognition: The system recognizes and correctly interprets common idioms and figures of speech.
3. Semantic Understanding:
a. Picking the Right Word Meaning: The AI determines the correct meaning of words with multiple definitions based on context.
b. Conceptual Linking: The system can link related concepts even when different terminology is used.
4. Sentiment Analysis:
a. Tone an Emotional Context: eDiscovery AI can Detect tone and emotional context of communications. This includes differentiating the tone of one individual from another.
b. Sarcasm: eDiscovery AI is capable of recognizing when a speaker or writer is uses sarcasm and isn’t beholden to the literal meaning of words when the some different meaning is clearly intended.
Remember, eDiscovery AI's ability to understand context sets it apart from traditional predictive coding and keyword-based systems, allowing for more nuanced and accurate document classification.