--- title: "Federal Magistrate Rules Expert’s AI Prompts Are Discoverable Methodology in Shell Oil Case" id: "2781" type: "insight" slug: "ai-prompts-expert-witness-discovery" published_at: "2026-06-16T18:27:09+00:00" modified_at: "2026-10-05T18:08:47+00:00" url: "https://jetstream.security/insights/ai-prompts-expert-witness-discovery/" markdown_url: "https://jetstream.security/insights/ai-prompts-expert-witness-discovery.md" excerpt: "The ruling is currently stayed pending district court review. But the magistrate's reasoning — that prompt engineering is part of an expert's methodology — is going to travel." taxonomy_insight_category: - "AI Advisory" taxonomy_insight_type: - "Legal Brief" taxonomy_insight_tags: - "AI Advisory" - "Court Filings" - "Legal & Litigation" --- AI Advisory # Federal Magistrate Rules Expert’s AI Prompts Are Discoverable Methodology in Shell Oil Case The ruling is currently stayed pending district court review. But the magistrate's reasoning — that prompt engineering is part of an expert's methodology — is going to travel. [AI Advisory](https://jetstream.security/insights/insight_tags/ai-advisory/) [Court Filings](https://jetstream.security/insights/insight_tags/court-filings/) [Legal & Litigation](https://jetstream.security/insights/insight_tags/legal-litigation/) JetStream Security June 16, 2026Legal Brief ## The filing Conservation Law Foundation, Inc. v. Shell Oil Company et al., Case No. 3:21-cv-00933-VDO, U.S. District Court, District of Connecticut. Magistrate Judge Thomas O. Farrish’s order: May 18, 2026 ([ECF No. 970](https://www.scribd.com/document/1051350487/ECF-No-970-Order-Granting-Motion-to-Compel-AI-Prompt-Production-Conservation-Law-Foundation-v-Shell-Oil-Co-D-Conn-May-18-2026?secret_password=doF1SGH5HqHjQpOTGTcg) ). CLF’s emergency motion to stay the order: June 1, 2026 ([ECF No. 974](https://www.scribd.com/document/1050312290/Conservation-Law-Foundation-s-Emergency-Order-to-Stay-filed-June-1-2026?secret_password=b9gxzrsAZZGi1EfdboAc) ). --- ## What happened Shell moved to compel CLF to produce AI prompts used by its expert, Dr. Naomi Oreskes, who had used AI to process Shell’s discovery documents. CLF argued the prompts fell outside expert discovery under Fed. R. Civ. P. 26(a)(2)(B)(ii) because they were used only to filter documents, not form opinions. CLF also argued that a Rule 29 stipulation shielded the materials: the parties had agreed not to seek discovery of each other’s “expert notes, drafts, or communications needed by, and made during, the report drafting process,” and CLF contended the prompts qualified as “notes.” Magistrate Judge Farrish disagreed on both counts, finding the Rule 29 language was not “quite clear” enough to bar otherwise-relevant discovery. He [ordered](https://www.scribd.com/document/1051350487/ECF-No-970-Order-Granting-Motion-to-Compel-AI-Prompt-Production-Conservation-Law-Foundation-v-Shell-Oil-Co-D-Conn-May-18-2026?secret_password=doF1SGH5HqHjQpOTGTcg) CLF to revise its responses to include any AI prompts and queries used by Dr. Oreskes or her team, with Rule 37(b) sanctions available if the representation later proved untrue. CLF filed an [emergency motion](https://www.scribd.com/document/1050312290/Conservation-Law-Foundation-s-Emergency-Order-to-Stay-filed-June-1-2026?secret_password=b9gxzrsAZZGi1EfdboAc) asking USDJ Vernon D. Oliver to stay the order pending review, on the grounds that no federal court has previously held an expert’s AI prompts are discoverable under Rule 26. USDJ Oliver granted the stay pending his consideration of CLF’s objections. --- ## Why it matters The ruling treats prompt engineering as part of an expert’s analytical method, not background process. If it holds, parties using AI to analyze documents in litigation will need to treat those prompts as potential discovery material from the outset. Parties need to specify who created the prompts, which versions and settings to use, whether prompts must be produced or kept confidential, and how prompts and outputs will be stored, disclosed, or protected by privilege. Using precise language minimizes ambiguity and reduces the risk of sanctions. In practice, this means thoroughly documenting AI workflows, including prompt provenance, version histories, model limitations, data sources, and decision rationales. Firms ought to obtain sworn confirmations of completeness and establish procedures for custodians to find prompts across systems. If your Rule 29 agreement covers AI-assisted discovery, be precise about scope, preservation, and production to avoid disputes, trial delays, and uncertain results. --- ## JetStream’s take CLF’s defense is that the AI only filtered documents, it did not form opinions. Proving that distinction requires the same prompts CLF says it never kept. --- ## Source ECF [No. 974](https://www.scribd.com/document/1050312290/Conservation-Law-Foundation-s-Emergency-Order-to-Stay-filed-June-1-2026?secret_password=b9gxzrsAZZGi1EfdboAc) , CLF Emergency Motion to Stay, June 1, 2026 *(Scribd embed)* [ECF No. 970](https://www.scribd.com/document/1051350487/ECF-No-970-Order-Granting-Motion-to-Compel-AI-Prompt-Production-Conservation-Law-Foundation-v-Shell-Oil-Co-D-Conn-May-18-2026?secret_password=doF1SGH5HqHjQpOTGTcg) , Magistrate Judge Farrish’s Order, May 18, 2026, available on PACER, Case No. 3:21-cv-00933-VDO (D. Conn.) [Conservation Law Foundation's Emergency Order to Stay filed June 1, 2026](https://www.scribd.com/document/1050312290/Conservation-Law-Foundation-s-Emergency-Order-to-Stay-filed-June-1-2026#from_embed) by [JetStream AI Advisory](https://www.scribd.com/user/985601713/JetStream-AI-Advisory#from_embed) ## Stay ahead with our newsletter Stay informed on industry trends, expert analysis, and product updates. #### Explore more insights [See all Insights](/insights) [https://jetstream.security/insights/the-economics-of-ai-risk/](https://jetstream.security/insights/the-economics-of-ai-risk/) AI Advisory Oct 29, 2026 ###### The Economics of AI Risk Your board already knows how to govern capital. AI spend needs the same discipline, down to the individual agent and the person who owns it. 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