Document type
Email Intelligence
Transform email archives into actionable insights with AI that understands business context.
At a glance
Extract information from email threads and business correspondence for analysis and compliance. OdysseyGPT handles emails & correspondence with citation-backed extraction, workflow-ready outputs, and review paths for low-confidence cases.
Key Takeaways
- Common extraction targets include Sender and recipient details, Subject and timestamps, Thread relationships.
- Reconstruct complete email threads from individual messages.
- Search and analyze email archives for litigation support.
Common fields
- Sender and recipient details
- Subject and timestamps
- Thread relationships
- Attachments and links
- Action items and commitments
- Sentiment and urgency
Processing capabilities
- Thread Reconstruction: Reconstruct complete email threads from individual messages.
- Entity Extraction: Extract names, companies, dates, and key entities from email content.
- Action Item Detection: Identify commitments, deadlines, and action items from conversations.
- Attachment Processing: Process email attachments alongside message content.
- Sentiment Analysis: Analyze tone and sentiment across correspondence.
- Topic Classification: Categorize emails by topic and business relevance.
Questions answered
What should teams extract from emails & correspondence?
Start with Sender and recipient details, Subject and timestamps, Thread relationships, Attachments and links, then expand into workflow-specific fields as your downstream systems require more structure.
What are the common risks when automating emails & correspondence?
Reconstruct complete email threads from individual messages. Extract names, companies, dates, and key entities from email content.
What is the recommended automation flow?
Ingest the document, extract the fields that matter, route low-confidence outputs for human review, and publish the validated output into the target workflow or system of record.