In Morgan v. V2X, Inc., a Colorado district court examined how AI use in litigation affects work product protection and the handling of confidential information.
Disclosure in England and Wales: Where to Next on the AI Journey?
As generative AI enters disclosure practice in England and Wales, courts and practitioners face emerging questions about transparency, proportionality, and human oversight.
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AI in the Courtroom: Key Takeaways From Recent Decisions in the Courts of England and Wales
Courts in England and Wales are confronting the risks of AI-assisted document preparation, with recent decisions highlighting the potential risk of fabricated case citations in common law jurisdictions where precedent is paramount.
Court Sanctions Highlight Potential Risks of Using Unchecked AI in Litigation
In February, a federal judge in the Southern District of New York issued case-ending sanctions against an attorney who failed to “learn from his mistakes” and repeatedly submitted filings containing false, AI-generated citations to the court.
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April 14 WEBINAR | eDiscovery and Artificial Intelligence: 2025 Year in Review and 2026 Trends
Greenberg Traurig Shareholders Jacqueline Tambone deGrandpre and Elizabeth E. Georgiopoulos, along with Law Clerk/JD Luis Carlos Balaguer Escobar will present the Boston Bar Association webinar, “eDiscovery and Artificial Intelligence: 2025 Year in Review and 2026 Trends.” DeGrandpre will moderate the program, with Georgiopoulos and Balaguer Escobar serving as panelists.
This timely program will explore
Judicial Conference Advisory Committee Releases Report on Evidence Rules for AI
On May 17, 2024, the Judicial Conference’s Advisory Committee on Evidence Rules released its report on artificial intelligence, which discusses the potential need for modifications to the Federal Rules of Evidence. The committee issued this report after its April 2024 meeting, which featured testimony from several AI experts. While the committee did not identify
5 Trends to Watch: 2024 eDiscovery and eRetention
- Artificial Intelligence (AI) will increasingly be used for eDiscovery, but results could be a double-edged sword. The consensus within the eDiscovery community is that AI is a useful tool that attorneys should not fear. In fact, AI-based tools, such as predictive coding, privilege reviews, early case analysis, and incoming production analysis, provide vital support to