Navigating Career Pitfalls and Possibilities in an AI Era
The ACEDS webinar underscored that artificial intelligence is reshaping the legal sector, but human judgment remains indispensable. Panelists warned that the primary career risk is complacency, not job loss, and urged lawyers to master AI‑enhanced tools and workflows. They highlighted five firm priorities—data security, approved‑tool use, cost control, preventing AI hallucinations, and clear governance—to meet evolving client expectations. In‑house counsel see AI as a way to automate routine work and focus outside counsel on high‑value strategic matters.
AI, Work Product, and the Protective Order Problem: What Morgan V. V2X, Inc. Means for Every Litigator
On March 30, 2026, a Colorado magistrate judge issued the most detailed federal ruling on AI‑generated work product in litigation, holding that Rule 26(b)(3) protects AI outputs created by a pro se plaintiff. The decision rejected the argument that using...
Riley Brennan: ‘Figuring Out How to Deal With This’: How Are Courts Grappling With Disciplining AI Hallucinations?
Courts across the United States are wrestling with how to discipline attorneys who rely on artificial‑intelligence tools that produce "hallucinations"—fabricated citations or erroneous legal arguments. Recent cases show a split approach: some judges have imposed formal reprimands, while others hesitate,...
Katie Pecho, Relativity: Scaling Smarter: An Energy Legal Team’s Progression to AI-Driven Work
AES Corporation, a global energy producer, began experimenting with generative AI for its legal department in 2022 after recognizing the technology’s potential. The company teamed with Relativity to build a scalable AI platform and enlisted strategy firm PLUSnxt to design...
Grace Herman, Reveal: Reveal Backs Private Deployment with a 50% Investment Increase as Enterprises Seek Data Control
Reveal announced a 50% boost in investment for its Private Deployment (RPD) solution, adding over 35 engineering and product specialists. The move enables regulated enterprises—financial services, government, healthcare—to run Reveal’s AI‑powered document review on their own infrastructure. Consilio is also...
Chris Finley, Opus 2: AI in Litigation: Use Cases, Advice, and Technology
Law firms are increasingly embedding AI into litigation workflows, moving beyond simple task automation to strategic insight generation. Early adopters gained a competitive edge, but the advantage is narrowing as AI tools become mainstream. Chris Finley’s Opus 2 article outlines how...
Marianna Wharry: UPL Claim Against ChatGPT Faces Hurdles, but Social Media Addiction Verdicts May Bolster Liability
Nippon Life Insurance Co. of America has filed a lawsuit against OpenAI, alleging that ChatGPT provided unauthorized legal assistance that generated 44 frivolous motions and $300,000 in legal costs. The complaint, lodged in the Northern District of Illinois, frames the...
Michael J. Epstein: No Forewarning Necessary? The AI Line the Courts Are Drawing—And Why It Won’t Stay Put
Gartner’s latest report warns that AI-related incidents are accelerating, with "death by AI" lawsuits projected to surpass 2,000 worldwide by the end of 2026. Traditional commercial policies are increasingly carving out AI liabilities, leaving firms exposed to costly claims. To...
Justin Smith, Everlaw: Morgan V. V2X, Inc. Decision Sets Precedent on AI Disclosure in Discovery
The U.S. District Court for Colorado issued a landmark protective order in Morgan v. V2X, Inc., requiring parties to disclose any use of generative AI on confidential discovery materials. The ruling addresses data‑privacy concerns rather than the traditional focus on...
ACEDS Australia & New Zealand: Lawyers, Not Just Adoption Technology
ACEDS Australia & New Zealand’s latest newsletter stresses that successful eDiscovery depends more on lawyer judgement than on technology adoption alone. As organisations rush to integrate generative AI, many still rely on outdated TAR‑era protocols, creating uncertainty around validation and...
HaystackID: Protecting Privilege and Work Product in Discovery After Heppner and Warner
Recent rulings in United States v. Heppner and Warner v. Gilbarco illustrate how courts are grappling with the intersection of generative AI and evidentiary protections. Heppner held that AI‑generated content, created without direct attorney instruction, is not shielded by lawyer‑client...
Exterro: The High Cost of Chaos: 5 Ways a Proactive Litigation Playbook Reclaims Your Budget
Exterro’s recent article highlights how unchecked litigation data can balloon costs, citing Marathon Petroleum’s experience of amassing 100 terabytes of largely redundant information. The legal‑ops leader, Greg Gruic, describes the unsustainable storage expense caused by preserving everything “just in case.”...
Petra Pasternak, Everlaw: Simplify DSAR Responses with Time-Saving Technology
Petra Pasternak of Everlaw warns that organisations are underestimating the growing cost and risk of data subject access requests (DSARs). Recent UK legislation – the Data (Use and Access) Act 2025 – together with updated ICO guidance and the Ashley...
Reveal: EDiscovery Deployment Options: Processing at Source Vs. Cloud
Reveal highlights that most litigation failures stem from poor data control rather than data scarcity. As data volumes surge and regulations tighten, organizations must choose between processing eDiscovery at source—on‑premises or private infrastructure—and migrating workloads to a shared or public...
AI Vs. Automation in eDiscovery: What’s Different, What’s the Same, and Why It Matters Now
The article clarifies that AI and automation, while related, serve distinct roles in eDiscovery. Automation executes repeatable, rule‑based tasks such as legal‑hold notifications and workflow routing, whereas AI interprets data, classifies documents, and generates insights. Legal teams are urged to...
