Learn the differences between artificial intelligence (AI), generative AI, agentic AI, machine learning and deep learning as they apply to the law.
A Closer Look: The Discoverability of Artificial Intelligence Prompts
Are AI prompts, and their generative outputs, discoverable in litigation? A handful of recent district court cases suggest the answer depends on whether the AI prompts and outputs constitute attorney work product.
In Tremblay v. OpenAI, Inc., 2024 WL 3748003 (N.D. Cal. Aug. 8, 2024), the court held that AI prompts written by lawyers can constitute opinion work product when used for litigation-related purposes. The court explained that AI “prompts were queries crafted by counsel and contain counsel’s mental impressions and opinions about how to interrogate [an AI tool], in an effort to vindicate Plaintiffs’ copyrights against the alleged infringements.” In so doing, the court squarely rejected defendant’s argument that AI prompts and outputs only rise to the level of fact work product as opposed to opinion work product. That distinction is important, as opinion work product is offered near-absolute protection from disclosure whereas fact work product is discoverable upon a showing of substantial need for the materials and an inability to secure a substantial equivalent without undue hardship.
Women leaders navigating the everyday reality of AI in legal
Women legal leaders share how AI is really used in everyday legal work — from answering contract questions to shaping strategy.
Intapp announces Celeste: Agentic AI for professional firms
New platform provides industry expert agents and governed AI for professional compliance
Palo Alto, Calif. –– February 25, 2026 –– Intapp (NASDAQ: INTA), the leading governed AI platform for professional firms in highly regulated industries, announced the launch of Intapp Celeste — a purpose-built agentic AI platform. The new solution was announced today at Intapp’s
Join Us for a Timely Look at HR Data and AI Regulation Trends
Join us tomorrow (1 – 2:40 PM EST; 10 – 11:40 AM PST) for “California and Beyond: HR Data Risk Issues for Employers,” a highly relevant webinar covering the rapidly shifting world of HR data, privacy obligations, and AI regulation. Presented by Squire Patton Boggs Partners Alan Friel and Michael Kelly, and Associate Sam Kim, this session will give employers the clarity they need as new rules take effect and enforcement ramps up.
As employers adopt more data‑driven tools and AI technologies in HR, legal and compliance risks are expanding quickly. This program offers a concise overview of California’s updated requirements and how they’re shaping expectations for employers nationwide—from new CCPA privacy and cybersecurity obligations effective in 2026 to growing mandates around AI and automated decision‑making in hiring, promotion, and employee management. Attendees will also gain practical guidance on managing high‑risk HR data, mitigating exposure, and aligning HR operations with evolving privacy, AI, and employment law standards.
Key takeaways include:
- What employers need to know about new CCPA obligations, including privacy risk assessments, cybersecurity requirements, and enhanced notice and choice rights.
- Risk and bias assessment mandates for AI and automated decision‑making tools in employment decisions.
- Broader AI and ADM compliance obligations emerging across the U.S.
- Best practices for managing high‑risk HR data and reducing legal exposure.
- Trade secret and antitrust considerations when using third‑party platforms.
- Special considerations for biometric and other sensitive personal data.
We have a limited number of free passes available for our readers. To request one, contact michelle.esso@squirepb.com.
Federal and State Policymakers Target AI Data Centers as Electricity Costs and Grid Reliability Concerns Mount
The Trump administration is expected to call on major U.S. technology companies and data center developers to voluntarily commit to a compact designed to ensure power-needy data centers do not raise household electricity prices or undermine grid reliability.[1] The initiative comes amid a nationwide surge in energy demand, driven largely by the rapid proliferation of data centers that power the artificial intelligence (AI) boom.[2] Although the compact would be voluntary and details on monitoring or enforcement remain limited, it signals a clear expectation from federal policymakers that large technology firms “pay their own way” for the incremental costs their facilities impose on the grid.
AI and Insurance Policy Interpretation After Snell v. United Specialty: What Policyholders Need to Know
“I continue to believe—perhaps more so with each interaction—that LLMs have something to contribute to the ordinary-meaning endeavor. They’re not perfect, and challenges remain, but it would be myopic to ignore them.” —Judge Kevin Newsom
The decision by the U.S. Court of Appeals for the Eleventh Circuit in Snell v. United Specialty Insurance Co. will
Charity Fraud Report 2025 Is Out With Important Findings
The year 2025 marks “the fifth year that BDO and the Fraud Advisory Panel (both UK-based) worked together in partnership to combat charity fraud, coinciding with the tenth anniversary of Charity Fraud Awareness Week.” The purpose: “to raise the profile of fraud affecting charities, focusing on key trends and offering insights into how charities can
Five Great Reads on Cyber, Data, and Legal Discovery for February 2026
Editor’s Note: Regulatory gravity is reshaping the AI economy—and February’s reading list makes that shift impossible to ignore. Across our Five Great Reads, which cover the EU’s emerging conformity assessment machinery, Europe’s “Digital Omnibus” debate, and the hard math behind flat eDiscovery margins, the message is consistent: governance is no longer a supporting function;
Generative AI Was a Scam – Says This Guy: Artificial Intelligence Trends
It’s not me saying that, but Gary Marcus saying that it turns out Generative AI was a scam. Where is he getting that? From investment companies.
The post Generative AI Was a Scam – Says This Guy: Artificial Intelligence Trends appeared first on eDiscovery Today by Doug Austin.