How eDiscovery AI Handles Short Messages
- Short messages like texts, instant messages, and social media posts are increasingly common in eDiscovery and they can present some unique challenges compared to more traditional data types. eDiscovery AI is designed to effectively process and analyze these brief communications. This guide explains how our system tackles the unique challenges of short messages and how you can optimize your review process.
- Understanding Short Message Challenges
- Short messages often present unique challenges in eDiscovery:
- Spelling Errors: Quick typing often leads to misspellings.
- Slang and Abbreviations: Informal language is common in brief communications.
- Lack of Context: Short messages may lack the context provided in longer documents.
- Emojis and Reactions: Emojis and reactions are frequently used in these short form communications.
- How eDiscovery AI Addresses These Challenges
- Our AI system is specifically trained to handle the nuances of short-form communication:
- Advanced Language Understanding: The AI recognizes common misspellings, slang, abbreviations as well as Emojis and Reactions.
- Contextual Analysis: It considers surrounding messages and conversation flow for better understanding.
- Pattern Recognition: The system identifies communication patterns specific to short messages.
- Using eDiscovery AI for Short Message Review
- Follow these steps to effectively review short messages:
- Send Documents to eDiscovery AI: Begin by using the Relativity Mass action, Send to eDiscovery AI from Relativity.
- Enter your Prompts: Specify one or more detailed prompts describing the issues to be identified during document review, the same way you would for longer or more standard document types. No specific instructions are required for the system to review or understand short message types.
- Review eDiscovery AI Results: Review a sample of the results from eDiscovery AI to evaluate the performance of the prompts
- Refine Prompts: Adjust your prompts if needed to include case specific abbreviations or slang based on your review of the initial results.
- Quality Assurance
- While eDiscovery AI is highly accurate, we recommend:
- Sampling: Regularly sample AI-classified messages to verify accuracy.
- Human Review: Any documents classified as Needs Further Review for any issue go through a human review process.
Remember, eDiscovery AI is designed to understand short messages as a reasonable person would. By leveraging our advanced AI capabilities, you can efficiently and accurately review even the most informal and brief communications in your eDiscovery process.