Most ERP implementations fail — not because of the software itself, but because of unrealistic expectations set right from the start. In this video, I break down the “dirty secret” behind why so many companies pour millions into new ERP systems (SAP, Oracle, Microsoft Dynamics, NetSuite, etc.) only to end up over budget, behind schedule, and disappointed. Key takeaways:

• Why 70-85% of ERP projects miss timelines, budgets, and expected business benefits.
• How vendors’ sales hype ( “out-of-the-box in months!”) sets customers up for failure.
• The hidden costs most organizations ignore: data migration, customizations, change management, training, and long-term support.
• Common

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Continue Reading The Dirty Secret Behind ERP Implementations

AI is one of the few technologies I have seen in my career that will live up to the hype.

• It goes without saying that using AI for the sake of AI makes no sense.

• You must have a business case for it.

But what is the cost?

• What rights are you giving up in your data in exchange for utilizing AI functionality in the context of your ERP system?
• Who owns not only your data, but your customer’s data that is input into the ERP system? Are you putting confidential information at risk?
• Are you losing trade secrets?
• Who

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Continue Reading The Risk Of AI In ERP Software

Artificial intelligence is moving into government contract performance.

• AI now supports scheduling, logistics, and production planning on federal contracts.

Defense contractors are asking a critical question.

• Does using AI on a Navy or other government contract give the government rights to your proprietary systems, methods, or data?
• The short answer is no. The real risk lies elsewhere.

Vague AI transparency and explainability clauses can quietly expand disclosure obligations.

• This contract language can erode trade secret protections that have existed for decades.

This video explains how government IP rights apply to AI-assisted performance and identifies the exposure points that general counsel…
Continue Reading Does Using AI on a Government Contract Put Your Trade Secrets at Risk? What Defense Contractors Need to Know

Artificial intelligence is reshaping how lawyers research, draft, and advise.But AI has introduced two legal risks that users cannot ignore.

• Courts are sanctioning attorneys for AI-generated errors in court filings.
• And a February 2026 federal decision held that a client’s independent use of a public AI chatbot was not protected by attorney-client privilege.

This video explains both risks, outlines the decisions behind them, and identifies steps in-house counsel can take now, including AI-use policies and guidance for legal departments.

Continue Reading When AI Becomes a Liability: Hallucinated Case Law, Sanctions, and the Privilege Waiver Risk

If you are a Navy contractor, ship repair company, or defense supplier wondering whether using AI puts trade secrets at risk, you are asking exactly the right question. I see why this concern is growing. Federal agencies now operate under formal AI governance and acquisition guidance, which means contractors should expect more questions about oversight, documentation, and how AI-assisted decisions are made.My short answer is this: AI itself does not automatically hand your trade secrets to the government. The real risk usually comes from contract language, deliverable definitions, disclosure obligations, vendor terms, data handling, and how your team responds when…
Continue Reading Does Using AI Put Trade Secrets at Risk?

SAP is under formal EU antitrust investigation.

• SAP is well known for using aggressive tactics to limit customers’ support options and creating questionable revenue-generating events.

• What does this mean for you?

That’s what I discuss in this clip from my upcoming video.

Continue Reading SAP Under EU Investigation

If you are moving fast with generative tools, the best legal practices when you use AI are not optional. They are what keep a promising brand from turning into a trademark dispute, a false advertising claim, or a costly rebrand.What are the best legal practices when you use AI for branding?The best legal practices when you use AI for branding are to keep meaningful human control, clear names and slogans before launch, verify every marketing claim, review vendor terms, document creative decisions, avoid lookalike prompts, and require legal signoff before a campaign goes live. That answer matters because the…
Continue Reading AI Efficiency Does Not Equal Legal Protection for Your Brand

AI lawsuits are increasing as businesses use AI-generated logos and brand names without trademark clearance. Learn how the Lanham Act applies and how Taft can help mitigate risk.Artificial intelligence is transforming modern branding. Companies now use AI to generate product names, logos, taglines, social media campaigns, and even full-scale brand launches in minutes.The efficiency is undeniable. The legal exposure, however, is often overlooked.As discussed in recent legal commentary, businesses increasingly face AI lawsuits tied to trademark infringement, false designation of origin, and intellectual property disputes stemming from AI-generated branding.At Taft, attorneys working at the intersection of intellectual property, emerging…
Continue Reading AI Lawsuits: The Legal Risks of AI-Generated Branding

Insurance coverage for trademark infringement lawsuits is far narrower than most executives realize. In this video, Bill Wagner, a partner in Taft’s Indianapolis office, explains what CGL policies may cover, why willfulness allegations destroy coverage, and how insurer-appointed defense counsel can put companies at risk.

Continue Reading Trademark Lawsuit Coverage Gap Most Executives Miss