Case Study: Medical device company achieves rapid, accurate deposition preparation by finding hot documents with OpenText Insight Predict

Attorneys for medical device company quickly find hot documents for deposition with OpenText™ Insight Predic

Attorneys at a major litigation firm representing plaintiffs in a multi‑district medical‑device products‑liability case faced a chaotic defendants’ production of 77,000 electronic documents — poorly scanned files, garbled OCR, heavily redacted emails and missing metadata. Conventional keyword searching proved ineffective and inconclusive (only 5% of search hits were hot and about 51% were hot or relevant), leaving the team racing to prepare for imminent depositions.

The firm deployed OpenText Insight Predict’s technology‑assisted review (TAR): a lead attorney seeded judgments, the system ranked the corpus, and the top ~1,000 documents were reviewed. TAR increased hot documents to 27% (258 documents) and relevant documents to 65%, yielding over 92% hot+relevant in the top slice, enabling faster, focused deposition preparation while reducing review time and cost.

Medical Device Company