Regulators Scrutinize AI Partnerships' Fine Print
In an article for the CPI Antitrust Chronicle (March 2026), Morgan Lewis antitrust partners Minna Naranjo and Rishi Satia, with associate Cole Pfeiffer, examine how antitrust law applies to competitor collaborations in AI. The authors analyze how the ancillary restraints doctrine separates permissible, efficiency-enhancing collaboration from unlawful coordination under Section 1 of the Sherman Act, and they flag common AI partnership structures, spanning compute, data, and distribution, that can raise risk. They frame the ancillary restraints doctrine as a useful compliance lens but caution that it is not the whole of the antitrust analysis, and they offer risk flags and structuring guidance for designing AI collaborations that mitigate exposure. This is legal analysis of how existing doctrine may apply to AI alliances, not a new enforcement action.
What happened
In an article published in the CPI Antitrust Chronicle (March 2026), Morgan Lewis antitrust partners Minna Naranjo and Rishi Satia, with associate Cole Pfeiffer, examine how antitrust law applies to collaborations among competitors in the AI sector. The authors analyze how the ancillary restraints doctrine distinguishes permissible, efficiency-enhancing collaboration from unlawful coordination under Section 1 of the Sherman Act, and they outline common AI partnership structures that may raise risk. They frame the ancillary restraints doctrine as a useful compliance lens while cautioning that it does not represent the entire antitrust analysis.
Editorial analysis - technical context
When legal scrutiny shifts from overt price-fixing toward contractual and structural restraints, it tends to focus on three commercial levers that shape platform power:
- •access to compute capacity and preferential provisioning
- •control over proprietary training and user datasets
- •ownership of distribution channels and marketplace rules
Contractual terms that allocate resource priority, exclusivity, or data-sharing rights can become focal points if a collaboration is later examined.
Context and significance
Antitrust authorities have been expanding the tools and doctrines used to evaluate competition in digital markets. The authors place the ancillary restraints doctrine at the center of that analysis for AI-specific alliances, which elevates the compliance importance of how collaboration agreements are structured, even when they are framed as innovation-focused. For companies negotiating multi-party AI partnerships, the article offers structuring considerations and risk flags rather than predictions of specific enforcement.
What to watch
Observers can track whether public enforcement actions or agency guidance cite contractual clauses that allocate compute priority, restrict dataset access, or create preferred distribution arrangements. Precedent and consent decrees in adjacent digital markets remain the most actionable signals of enforcement priorities.
Scoring Rationale
This is law-firm thought leadership analyzing how the ancillary restraints doctrine and Section 1 may apply to AI collaborations, not a new regulatory action or enforcement event. It is useful to practitioners structuring AI compute, data, and distribution deals, so it warrants solid but not high visibility.
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