Quinn Emanuel's AI-Driven Document Review Compresses 8-Week Trial Prep, Closes $300M Merger

Desktop Metal needed fresh litigation counsel to compel Nano Dimension to close a stalled merger after Nano's board allegedly slow-walked CFIUS approvals. The Delaware Court of Chancery granted an expedited trial, leaving Quinn Emanuel roughly eight weeks from engagement to a two-day trial to complete fact and expert discovery across 50,000+ produced and 70,000+ reviewed documents.

The team used Syllo's agentic document review platform, prompted at the level of legal theories rather than keywords, to review the document universe, build timelines, and tag material by issue. Mid-case, the team built two bespoke capabilities in a matter of days each — a production-deficiency analyzer and a privilege-log scorer — and used Claude on an enterprise license as a daily strategy partner for brainstorming legal theories, drafting, and deposition sequencing, with a human always in the loop.

The AI review achieved an estimated 98% recall and 74% precision (vendor-reported, not independently validated). The privilege-log scoring narrowed a long log to a few hundred challengeable entries, feeding four motions to compel. The compressed ~8-9 week timeline held through a two-day trial, and the court ordered Nano to sign a national security agreement on an expedited timetable and close the merger.

• Mid-case, purpose-built AI capabilities (deficiency analysis, privilege-log scoring) can be built in a matter of days to shift case strategy, not just accelerate review.
• General-purpose LLMs (Claude) and purpose-built litigation platforms (Syllo) played distinct roles — cognitive brainstorming versus structured document review.
• Reported recall/precision figures are vendor self-reported and have not been independently validated.