antitrust-risk-intake

Solid

Use when facts with possible competition-law exposure first arrive — a sales email about a competitor contact, a proposed collaboration, a pricing move, a hotline report, or an agency inquiry — to produce a draft conduct inventory and triage matrix that buckets each item, flags any time-critical track, and routes each item to the matched antitrust deep-dive skill for attorney review, without classifying conduct or assessing legality.

AI & Automation 15 stars 3 forks Updated 4 days ago MIT

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Skill Content

# Antitrust Risk Intake ## Purpose Take unstructured facts about conduct with possible competition-law exposure — a worried email, a proposed arrangement, a hotline report, an agency letter — and organize them into a conduct inventory and triage matrix that buckets each item, records preliminary risk indicators from the shared catalog, flags any time-critical track, and routes each item to the matched antitrust deep-dive skill. This is the front door of the antitrust-competition cluster, and its output is a **draft for attorney review**: every bucket and routing call is a workflow signal, never a legal classification or an assessment of legality. ## Use When - A business team forwards an email thread about a competitor contact, meeting, or "understanding" and asks legal whether it is a problem. - Several loosely described conduct items arrive at once — a JV idea, a pricing move, a distributor complaint — and counsel needs them inventoried, bucketed, and routed before any deep-dive work. - A hotline report, internal-audit finding, or news of an industry investigation raises possible exposure and the facts need structured intake. - An agency letter, dawn-raid rumor, or pending merger notification makes it urgent to identify which track is time-critical. - Counsel asks "which antitrust skill do I run on this?" and the answer needs a documented triage matrix with fact gaps listed per recommended deep-dive. ## Required Inputs - **Jurisdiction(s) of competitive effect** — eve...

Details

Author
zgbrenner
Repository
zgbrenner/agentcounsel
Created
2 months ago
Last Updated
4 days ago
Language
Python
License
MIT

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