Global law firm eliminates privilege log deficiencies in antitrust Second Request with AI PrivGen

Antitrust Second Requests are among the most document-intensive regulatory obligations a law firm can face. When a global law firm encountered one spanning nearly 95,000 documents requiring privilege log entries, the limitations of manual drafting became acute. Attorneys producing individual privilege descriptions at that scale routinely defaulted to templated, repetitive language — precisely the kind of generic phrasing that draws government deficiency citations. Each deficiency letter triggers remediation cycles that consume attorney time, delay production, and expose the client to heightened regulatory scrutiny. The firm needed a way to produce narrative-consistent, regulator-ready privilege logs without proportionally scaling attorney hours.

The firm deployed Consilio's AI PrivGen, a purpose-built privilege log generation tool within Consilio's Aurora Legal AI Suite, built on large language model technology. AI PrivGen analyzed each document in context and generated individualized privilege descriptions with narrative specificity, rather than the repetitive boilerplate common in high-volume manual review. The workflow integrated AI drafting directly into the existing review platform, positioning attorney oversight as a confirmation and refinement layer rather than a from-scratch drafting step. Consilio's team structured the implementation to maintain defensibility under regulatory scrutiny — ensuring that every AI-generated entry passed attorney review before submission and that the log as a whole reflected consistent privilege reasoning across nearly 95,000 entries.

The AI-assisted workflow produced measurable improvements across quality and efficiency:

• 73% AI description confirmation rate: Nearly three in four AI-generated entries were accepted by reviewing attorneys with minimal or no revision, indicating high first-draft utility.
• 33% reduction in drafting time: Attorney time spent on privilege description drafting fell by a third compared to fully manual workflows.
• 0 government deficiency citations for privilege log quality: For the first time, the firm's privilege log drew no citations for repetitive or generic language — a rare outcome in antitrust Second Request matters where deficiency letters are routine.

The qualitative shift was equally significant: the log demonstrated narrative consistency at scale, a standard that manual review at this volume rarely achieves.

• AI-generated privilege descriptions can satisfy government regulatory standards when combined with structured attorney oversight — the 73% confirmation rate shows the drafts are substantively useful, not just rough starting points.
• Volume is where AI privilege log tools justify their adoption; at 95,000 documents, the quality and consistency gains are difficult to replicate manually.
• Deficiency letter avoidance is a concrete, measurable outcome — legal teams should track this metric explicitly when evaluating AI privilege review tools.
• Integrating AI as a drafting layer (with attorney confirmation) preserves defensibility while capturing efficiency gains; the human review step is not optional.
• Antitrust Second Requests are an ideal proving ground for AI-assisted privilege review due to their scale, time pressure, and the high cost of regulatory deficiencies.