Reed Smith

Reed Smith's first-pass document review at scale required broad coverage and large reviewer teams, driving up cost and timeline on high-volume litigation, investigation, and data subject access matters where document populations routinely reach millions. Traditional TAR (technology-assisted review) scored chat messages too low, causing key evidence to slip through review.

Reed Smith deployed Relativity's aiR to screen documents on first-pass review, using AI to review and prioritize documents — including chat messages — ahead of human reviewer teams. Using aiR on first-pass review has become a standard step in the firm's workflow for matters involving client data.

The aiR-driven review saved Reed Smith over $2.3M in review costs, cut review time by 11,300 hours, and reduced the document population requiring review by 500,000 documents. The AI screening also surfaced all three key documents that opposing counsel used in a deposition, catching evidence that prior TAR chat-scoring had missed.

• AI first-pass screening surfaced deposition-critical evidence that traditional TAR scoring of chat messages missed.
• aiR has become a default first step for first-pass review on matters involving client data, not a one-off pilot.