TL;DR:
On June 1, 2026 the Southern District of New York issued an order in Encyclopaedia Britannica, Inc. v. Perplexity AI, Inc., directing discovery steps in a case involving AI tools and requiring a transcript of the conference, a clarified schedule for responses, and specific limits on identifying contributors to the works at issue. The order illustrates that courts are actively managing AI involvement in discovery, including who contributed to produced materials and how to handle confidential information when AI platforms are used. For trial teams, the ruling signals that AI usage in litigation is now a live, contestable issue in case management, with concrete deadlines and procedural levers that can affect strategy, privilege, and the ability to move documents and source code through the system. Objection Academy can be a practical companion for teams preparing to address AI-related objections and readiness in the courtroom, as the landscape of AI in litigation continues to evolve.
What happened
The United States District Court for the Southern District of New York held a June 1, 2026 conference in Encyclopaedia Britannica, Inc. v. Perplexity AI, Inc., Civil Action No. 25 Civ. 7546 (JLR) (SLC), in which Britannica and Merriam-Webster sought to compel Perplexity AI to produce documents and source code and to resolve related discovery disputes. Following the conference, the court issued a three-page order setting clear next steps: (1) by June 3, 2026, the parties must obtain a transcript of the conference; (2) the court addressed specific requests related to production requests and advised parties to review the transcript for further guidance; (3) by June 15, 2026, plaintiffs must update an interrogatory response identifying all persons who contributed to the asserted Work or its drafts; (4) by June 23, 2026 at 5:00 p.m. ET, the parties must file a joint letter detailing discovery status and issues; and (5) a telephone conference to discuss discovery was scheduled for June 26, 2026. The order was issued by Magistrate Judge Sarah L. Cave. These actions were publicly documented in the court filing and docket materials. (cases.justia.com)
Why it matters for trial lawyers
This is one of the clearest, public signals that AI in litigation is not a theoretical debate but a live, governable aspect of discovery practice in federal courts. The order confirms several practical implications for trial teams:
- AI involvement in produced work is now squarely within the scope of discovery management. Britannica and Merriam-Webster’s motion to compel relates to documents and source code from an AI platform, illustrating that courts will scrutinize both the inputs and outputs of AI tools used in developing legal work.
- The court’s emphasis on identifying contributors to the asserted Work or any drafts underscores a move toward transparency about how AI and human contributors shaped materials that may become evidence. This can affect arguments about authorship, originality, and privilege.
- The procedural cadence—transcript acquisition, status letters, and a scheduled conference—demonstrates that courts expect proactive case management around AI issues, including documentation of who contributed to the work and how AI was used in the preparation process.
- The decision sits within a broader, evolving framework of AI-related discovery discipline that practitioners are watching closely. Earlier in 2026, multiple courts addressed privilege and work product in the GenAI context, with a growing chorus of commentary from firms and industry groups about protective-order language and best practices. The Encyclopaedia Britannica order adds a concrete, district-court example that practitioners can study and model in similar disputes. (cases.justia.com)
Practical takeaways and steps for litigators
- Audit AI usage in your matter now. Catalog any AI tools used to prepare or review documents, drafts, or research. Be prepared to explain both tools and human authorship in discovery responses, especially if materials could be deemed “Work” under Rule 26(b)(3).
- Consider AI-focused protective-order provisions early. If anticipating AI-driven workflows, draft protective-order language that governs confidentiality, data handling, and AI tool usage, including safeguards around training data and access to source materials.
- Prepare to address contributor disclosure. In light of the court’s instruction to identify all persons who contributed to the asserted Work, law teams should maintain a record of who contributed to drafts and who supervised or directed AI-assisted work. This can affect privilege and work-product analysis and potential waivers.
- Plan for court-ordered disclosures and schedules. The Britannica order demonstrates that courts may impose specifictimelines for transcripts, interrogatory responses, and status letters. Build calendars with these milestones in mind to avoid delays and to keep discovery moving efficiently.
- Align with trial-readiness practices. As AI features increasingly impact evidence handling, trial teams should integrate readiness tools that train staff to handle AI-generated or AI-influenced material, preserve privilege where appropriate, and prepare effective objections at trial if AI outputs become probative or contested.
Objection Academy in this moment
Objection Academy provides objective, practice-forward training for objections, evidentiary reasoning, and trial-readiness—critical skills as AI-influenced materials enter more civil and criminal litigation. In a landscape where courts are actively shaping how AI is used in discovery and how contributors and material provenance are treated, structured objection drills and evidence-witness simulations help trial teams test the reliability of AI-generated inputs and the persuasiveness of live testimony. The Britannica v Perplexity order highlights the practical need to anticipate objections to AI-produced content and to practice responses in a controlled, repeatable way. Incorporating Objection Academy drills into this workflow equips teams to handle objections about authorship, integrity of documents, and authenticity when AI assistance intersects with traditional evidentiary rules.
What to watch next
Expect continued district-court activity around AI in discovery, including protective-order templates, contributor disclosures, and cross-border considerations as more cases surface. Coverage from leading firms and industry observers indicates a growing pattern of courts requiring more explicit governance of AI tools in litigation, and procedural steps like transcript collection and status letters may become standard in AI-related discovery disputes. The Encyclopaedia Britannica order provides a concrete example that other litigants can reference when negotiating protective orders or planning discovery calendars in AI-heavy matters. (cases.justia.com)
Sources
- Encyclopaedia Britannica, Inc. v. Perplexity AI, Inc., SDNY, Civil Action No. 25 Civ. 7546 (JLR) (SLC): Order, June 1, 2026. Dockets.Justia.com document reproduces the court’s rulings and deadlines. (cases.justia.com)
- Kirkland & Ellis, A Federal Court Charts a Path on AI, Protective Orders and Work Product in Discovery, May 20, 2026, discussing Morgan v. V2X and other AI-discovery developments. (kirkland.com)
- Baker Botts, AI on Trial: Morgan v. V2X Draws New Lines on Work Product Protection and Confidentiality, June 2026. (bakerbotts.com)
- EDRM and related coverage on AI protective orders and ongoing AI discovery developments in 2026. (edrm.net)
This timely development underscores the importance of integrating AI governance into discovery planning and trial-readiness practice, a space where Objection Academy can support litigators with actionable, controllable training that translates into courtroom confidence and accuracy.