Case study 04 | Civil litigation
A civil litigation firm cuts research time by 100x.
A 12-attorney litigation practice replaced manual research, discovery review, first-draft creation, and deadline tracking with supervised AI case intelligence.
The problem.
A single complaint response consumed 16 hours of associate time. Discovery review took weeks of paralegal labor, and drafting often started from a blank page.
The firm did not need generic AI prompts. It needed a disciplined way to use prior work product, matter facts, deadlines, and attorney review without weakening legal judgment.
What changed.
- Research synthesis moved from hours of searching to minutes of supervised review.
- Discovery documents were categorized and flagged for relevance before paralegal review.
- Drafting produced structured first drafts that attorneys edited and approved.
- Matter management surfaced deadlines, opposing filings, and precedent from the firm's prior work.
Representative summary. This is not legal advice. Legal AI workflows require attorney supervision, confidentiality controls, and jurisdiction-specific review.
Legal AI needs evidence, approval, and proof.
TAG helps define what AI can draft, what it can summarize, and where professional review must remain in control.