01 The Challenge
An unexpected class-action defense mandate threatened to overwhelm a small five-attorney firm. The incoming client data comprised terabytes of unindexed emails, Slack messages, and PDFs. The manual process of reviewing this data threatened to drain resources, delay case strategy development, and drive up costs beyond the client's tolerance.
02 Actions Taken
- Transitioned from manual folder searching to an automated, AI-driven eDiscovery ingestion pipeline to index and deduplicate multi-format files instantly.
- Applied advanced search queries and concept clustering to isolate relevant documents, reducing the overall review set by 60%.
- Utilized native redaction and production exporting tools to generate court-ready document sets directly from the platform.
03 Strategic Outcomes
- Completed early case assessment in days rather than the projected weeks, enabling rapid strategic decision-making.
- Saved the client over $40,000 in third-party vendor processing fees in the first quarter of adoption.
- Allowed a small team of three active reviewers to manage caseloads typically requiring a mid-sized document review team.
