Briefings Blog

Legal teams at telecommunications groups approaching cross-border consolidation transactions under the 2025 OECD Merger Review Recommendation are increasingly using AI to draft regulatory-strategy memos on remedies hierarchy and structural-divestiture sequencing, generate executive-committee briefings on cross-border clearance exposure, and validate Section IV.3 remedies-priority language against the OECD text before remedy negotiations open with authorities.

The RLB Specialist Panel put a set of practitioner-grade questions on the 2025 OECD Merger Review Recommendation to two frontier AI models with web search active. Each question is prepared by the Panel based on the workflows that legal teams at telecommunications firms actually use AI for under the OECD's 2025 revision of the Recommendation of the Council on Merger Review (OECD/LEGAL/0333). The Panel then binds every AI response to verbatim regulator-issued source text held as primary substrate.

On the 2025 OECD Merger Review Recommendation, the AI subjects returned a single hallucinated answer for legal teams at telecommunications firms, in the form of Misattributed Cross-Jurisdictional Doctrine.

For legal teams at telecommunications firms advising on cross-border merger transactions touching the 2025 OECD Merger Review Recommendation, citation accuracy on the operative architecture, on Section IV.3 remedies hierarchy, and on Section III.11.b failing firm defence is load-bearing in every authority-facing submission, every board memo, and every transactional document. A counterparty or competition authority who identifies a structural inflation, a misattributed sub-hierarchy, or a closed-cumulative-test framing on first reading calls the entire piece of advice into question.

The structural-architecture failure is the most directly visible: a board memo or regulator-facing submission that lists 'international co-operation' or 'monitoring' as operative RECOMMENDS sections is wrong on first reading. The Section IV.3 EU sub-hierarchy import is the most insidious failure, reading as authoritative because the EU framework is real, but presenting EU practice as OECD content imports the wrong normative baseline into the firm's remedy strategy.

The published Specialist Panel findings carry the following citation identifiers:

• RLB-H-INT-OECD-OECD-MERGER-REVIEW-RECOMMENDATION-2025-Q002-Sonnet46 (Section IV.3 structural remedy priority, EU doctrine imported as OECD text)

Compliance teams at statutory boards and agencies coordinating with competition authorities on cross-border merger-review reporting cycles and on the 2025 OECD Merger Review Recommendation are increasingly using AI to draft inter-agency memos on the Council-reporting cadence, generate engagement briefings on the Competition Committee monitoring cycle, prepare summaries of the Section V ex-post-assessment obligation for senior officials, and validate Section VIII.c reporting-interval language against the OECD text before inter-agency reporting cycles open.

The RLB Specialist Panel put a set of practitioner-grade questions on the 2025 OECD Merger Review Recommendation to two frontier AI models with web search active. Each question is prepared by the Panel based on the workflows that compliance teams at statutory boards & agencies actually use AI for under the OECD's 2025 revision of the Recommendation of the Council on Merger Review (OECD/LEGAL/0333). The Panel then binds every AI response to verbatim regulator-issued source text held as primary substrate.

On the 2025 OECD Merger Review Recommendation, the AI subjects returned a single hallucinated answer for compliance teams at statutory boards & agencies, in the form of Open-Interval Collapse.

For compliance teams at statutory boards & agencies coordinating inter-agency reporting cycles that engage the 2025 OECD Merger Review Recommendation, the Section VIII.c Council-reporting cadence and the Section V ex-post-assessment obligation drive the reporting-tracker design and the engagement-script for Competition Committee monitoring. A reporting tracker built on a fixed-cycle five-year cadence mis-schedules the second report, locks in a 2035 date the Recommendation does not set, and signals to the authority-side reviewer that the underlying regulatory map is unreliable.

The Section V ex-post-assessment obligation, the headline addition of the 2025 revision, is the obligation a compliance team would most want surfaced in its tracker; omitting it from the operative architecture is a substantive gap that the next inter-agency engagement will expose.

The published Specialist Panel findings carry the following citation identifiers:

• RLB-H-INT-OECD-OECD-MERGER-REVIEW-RECOMMENDATION-2025-Q004-Sonnet46 (Section VIII.c two-tier Council reporting timeline)

Legal teams at pharmaceutical and life-sciences groups approaching control transactions touching the 2025 OECD Merger Review Recommendation are increasingly using AI to draft regulatory-strategy memos on remedies hierarchy, generate transaction-committee briefings on divestiture-package design, and validate Section IV.3 remedies-priority language against the OECD text before remedy negotiations open with competition authorities.

The RLB Specialist Panel put a set of practitioner-grade questions on the 2025 OECD Merger Review Recommendation to two frontier AI models with web search active. Each question is prepared by the Panel based on the workflows that legal teams at pharmaceuticals firms actually use AI for under the OECD's 2025 revision of the Recommendation of the Council on Merger Review (OECD/LEGAL/0333). The Panel then binds every AI response to verbatim regulator-issued source text held as primary substrate.

On the 2025 OECD Merger Review Recommendation, the AI subjects returned a single hallucinated answer for legal teams at pharmaceuticals firms, in the form of Misattributed Cross-Jurisdictional Doctrine.

For legal teams at pharmaceuticals firms advising on cross-border merger transactions touching the 2025 OECD Merger Review Recommendation, citation accuracy on the operative architecture, on Section IV.3 remedies hierarchy, and on Section III.11.b failing firm defence is load-bearing in every authority-facing submission, every board memo, and every transactional document. A counterparty or competition authority who identifies a structural inflation, a misattributed sub-hierarchy, or a closed-cumulative-test framing on first reading calls the entire piece of advice into question.

The structural-architecture failure is the most directly visible: a board memo or regulator-facing submission that lists 'international co-operation' or 'monitoring' as operative RECOMMENDS sections is wrong on first reading. The Section IV.3 EU sub-hierarchy import is the most insidious failure, reading as authoritative because the EU framework is real, but presenting EU practice as OECD content imports the wrong normative baseline into the firm's remedy strategy.

The published Specialist Panel findings carry the following citation identifiers:

• RLB-H-INT-OECD-OECD-MERGER-REVIEW-RECOMMENDATION-2025-Q002-Sonnet46 (Section IV.3 structural remedy priority order misattributed to EU practice)

Legal teams at digital platforms and online marketplaces approaching announceable transactions that engage the 2025 OECD Merger Review Recommendation are increasingly using AI to draft regulatory-strategy memos on remedies hierarchy, generate executive-committee briefings on cross-border merger-clearance exposure, and validate Section IV.3 remedies-priority language against the OECD text before remedy negotiations open with authorities.

The RLB Specialist Panel put a set of practitioner-grade questions on the 2025 OECD Merger Review Recommendation to two frontier AI models with web search active. Each question is prepared by the Panel based on the workflows that legal teams at digital platforms and marketplaces actually use AI for under the OECD's 2025 revision of the Recommendation of the Council on Merger Review (OECD/LEGAL/0333). The Panel then binds every AI response to verbatim regulator-issued source text held as primary substrate.

On the 2025 OECD Merger Review Recommendation, the AI subjects returned a single hallucinated answer for legal teams at digital platforms and marketplaces, in the form of Misattributed Cross-Jurisdictional Doctrine.

For legal teams at digital platforms and marketplaces advising on cross-border merger transactions touching the 2025 OECD Merger Review Recommendation, citation accuracy on the operative architecture, on Section IV.3 remedies hierarchy, and on Section III.11.b failing firm defence is load-bearing in every authority-facing submission, every board memo, and every transactional document. A counterparty or competition authority who identifies a structural inflation, a misattributed sub-hierarchy, or a closed-cumulative-test framing on first reading calls the entire piece of advice into question.

The structural-architecture failure is the most directly visible: a board memo or regulator-facing submission that lists 'international co-operation' or 'monitoring' as operative RECOMMENDS sections is wrong on first reading. The Section IV.3 EU sub-hierarchy import is the most insidious failure, reading as authoritative because the EU framework is real, but presenting EU practice as OECD content imports the wrong normative baseline into the firm's remedy strategy.

The published Specialist Panel findings carry the following citation identifiers:

• RLB-H-INT-OECD-OECD-MERGER-REVIEW-RECOMMENDATION-2025-Q002-Sonnet46 (Section IV.3 structural-remedy hierarchy misattributed to EU practice)

Legal teams at corporate banks advising on transaction financing and acquisition-credit facilities under the 2025 OECD Merger Review Recommendation are increasingly using AI to draft client-facing memos on merger-clearance exposure, generate credit-committee briefings on the failing firm defence standard, and validate the Section III.11.b evidentiary requirements against the OECD text before facility documentation issues.

The RLB Specialist Panel put a set of practitioner-grade questions on the 2025 OECD Merger Review Recommendation to two frontier AI models with web search active. Each question is prepared by the Panel based on the workflows that legal teams at corporate banking firms actually use AI for under the OECD's 2025 revision of the Recommendation of the Council on Merger Review (OECD/LEGAL/0333). The Panel then binds every AI response to verbatim regulator-issued source text held as primary substrate.

On the 2025 OECD Merger Review Recommendation, the AI subjects returned a single hallucinated answer for legal teams at corporate banking firms, in the form of Inter-Alia-to-Closed-Test Conversion.

For legal teams at corporate banking firms advising on cross-border merger transactions touching the 2025 OECD Merger Review Recommendation, citation accuracy on the operative architecture, on Section IV.3 remedies hierarchy, and on Section III.11.b failing firm defence is load-bearing in every authority-facing submission, every board memo, and every transactional document. A counterparty or competition authority who identifies a structural inflation, a misattributed sub-hierarchy, or a closed-cumulative-test framing on first reading calls the entire piece of advice into question.

The structural-architecture failure is the most directly visible: a board memo or regulator-facing submission that lists 'international co-operation' or 'monitoring' as operative RECOMMENDS sections is wrong on first reading. The Section IV.3 EU sub-hierarchy import is the most insidious failure, reading as authoritative because the EU framework is real, but presenting EU practice as OECD content imports the wrong normative baseline into the firm's remedy strategy.

The published Specialist Panel findings carry the following citation identifiers:

• RLB-H-INT-OECD-OECD-MERGER-REVIEW-RECOMMENDATION-2025-Q005-Opus47 (Failing firm defence: condition 3 mischaracterised, conditions presented as exhaustive)
• RLB-H-INT-OECD-OECD-MERGER-REVIEW-RECOMMENDATION-2025-Q005-Sonnet46 (Failing firm defence: condition 3 mischaracterised, conditions presented as exhaustive)