Whether you call it a consulting agreement, a professional services agreement, or a master services agreement, it is the document that has the most significant impact on the success of your digital transformation.

In this YouTube video, I discuss key issues to consider.

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In an ERP software contract, there is a substantive difference between a warranty obligation and maintenance and support.

  • Having one does not negate the need for another.
  • ERP software warranties are for a limited duration. When that warranty period starts is critically important.
  • ERP software warranties are also warranties of reference. A typical warranty will obligate the vendor to provide services in accordance with generally accepted standards or software in accordance with “the documentation.”

What those standards are and what the documentation includes is critically essential.

  • As a customer, you want to ensure that the scope of “documentation” is broad enough to include pre-contract representations of functionality and operability.
  • You also want to ensure you have reviewed the documentation and understand what the vendor means by “generally accepted industry standards.”
  • If you need to enforce a warranty obligation, these terms have less meaning than you might expect.

For every warranty obligation the ERP vendor has, you need to ensure the ERP software vendor has a responsibility to remedy that breach.

 
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The United States Copyright Office has released a watershed report on whether and how AI-generated outputs qualify for copyright protection under current United States copyright laws.  Departing from its previous policy stance, the Copyright Office now states that AI-generated outputs are eligible for copyright protection but with a key caveat: the human author requirement remains intact.

The report contains four main highlights, covered in more detail below.  

  1. AI-generated content will be copyrightable “in whole or in part” so long as “a human has been able to determine the expressive elements” the content contains.
  2. Human involvement is still essential for obtaining copyright protection—purely AI-generated content is not eligible for copyright protection.
  3. Content generated from using creative prompts alone “is unlikely” to meet the standard for copyright protection, but prompts themselves, “if sufficiently creative,” may be copyrightable.
  4. Current copyright laws are sufficient to address AI as a new technology

AI-Generated Output Eligible for Copyright Protection

The Copyright Office concludes that, “in many circumstances these [AI-generated] outputs will be copyrightable in whole or in part—where AI is used as a tool, and where a human has been able to determine the expressive elements they contain.”  The Copyright Office points to AI systems that allow users to exert control over the selection and placement of individual creative elements.  As an example, it illustrates an editing process offered by Midjourney:

Although the Copyright Office will still decide on copyright protection on a case-by-case basis, people using AI tools now have a green light to seek protection for outputs if the AI tool “allow[s] users to exert control over the selection, arrangement, and content of the final output.”

Human Authorship is (Still) Essential for Copyright Protection

The Copyright Office endorsed the long-held view that copyright protection extends only to human creators, reinforcing a 2023 federal court ruling that an AI-generated image, created with no human involvement, is ineligible for copyright protection.  The report reaffirms that content wholly generated by AI is not copyrightable. It also provides, however, that if a human contributes creatively to an AI-generated work—whether through selection, arrangement, or modification—those human elements may receive protection. Assessing authorship will depend on whether the human’s role involved original expression or mere instructions to an AI system, and the Copyright Office will decide these issues on a case-by-case basis.

The Key Role of Prompts in AI-Generated Content

The report details the role of text-based prompts that humans use to guide AI systems. The office acknowledged that prompts themselves, if sufficiently detailed and specific, could qualify for copyright protection, but it clarified that simple or generic prompts (such as “a cartoon spaceship”) likely do not.  The report provides that even when prompts are detailed, the unpredictability of AI outputs presents challenges.  The Copyright Office reasoned that because AI models operate as “black boxes” and often produce different results for the same prompt, it is difficult to establish a direct human-to-output connection akin to traditional authorship.  The report concludes that while prompts themselves may sometimes be copyrightable if they demonstrate originality, the resulting AI-generated content will generally not qualify unless the user exerts substantial creative control over the expressive elements.

Current Copyright Laws Absolve any Need for Legislative Change

Some commenters advocated for new legal protections tailored specifically to AI-generated content, arguing that extending copyright to AI-assisted works could incentivize creativity. Others warned that broad copyrightability for AI outputs could undermine incentives for human authorship.

The Copyright Office ultimately concludes that existing law is well suited to address AI-related copyright issues. It maintains that AI should be treated as a tool rather than an author and that any modifications to copyright law should be carefully considered before implementation. While the Copyright Office acknowledges the need for ongoing monitoring as technology evolves, it does not recommend legislative change at this time.

Conclusion

Moving forward, the Office will continue to refine its guidance and assess the legal implications of AI advancements. But now creators and AI developers have more precise guidance on how to seek copyright protection for AI-generated output.  

Recommendations

  1. Keep a log of how someone uses an AI tool to create and edit AI-generated output. 
  2. Focus on using AI tools that allow users to exert control over the selection, arrangement, and content of the final output. 
  3. Be diligent about explaining to the Copyright Office how AI was used in the process.

Whether AI-generated outputs infringe on copyrights is still a wide-open question.

For a cloud solution, a service level agreement is critical.

  • A software vendor needs to contractually commit to making the software available to you for a certain percentage of time.
  • A service level agreement must specify the uptime guarantee, detail periods when the software might not be available, and provide substantive remedies if the software vendor fails to meet its uptime guarantees.

In my latest YouTube video, I discuss why these agreements are essential and the issues you must address.

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In December 2024, the Illinois Supreme Court issued guidance on the use of AI (guidance) by judges and other lawyers.

The guidance comes after several high-profile instances of misuse of generative Artificial Intelligence (AI) in litigation, including cases where lawyers used AI to draft briefs that later cited non-existent case law. For instance, in several cases, lawyers used generative AI to write a brief and file it with a court, only to discover afterward that the AI “hallucinated” caselaw that does not exist. See, e.g.Gauthier v. Goodyear Tire & Rubber Co., No. 1:23-CV-281, 2024 WL 4882651, at *3 (E.D. Tex. Nov. 25, 2024) (sanctioning attorney). More responsible members of the bench and bar have used both generative and non-generative AI tools, including tools for general audiences (e.g., ChatGPT and Claude) and tools specifically designed for use by lawyers (e.g., Clearbrief, CoCounsel, and Harvey AI).

Judicial responses to AI use have varied. Some judges have proposed using AI to interpret legal terminology, while others have banned the use of AI for drafting briefs or as authority in motions. Some courts have issued standing orders requiring litigants to disclose AI usage in filings.

In contrast, the Illinois Supreme Court encourages the responsible and supervised use of AI and recommends that Illinois state court judges not require lawyers to disclose the use of AI in drafting pleadings. The guidance emphasizes that existing legal and ethical rules, rather than special provisions for AI, are sufficient to govern its use in litigation. Overall, the tone of the new guidance is to encourage the use of AI, so long as the use is responsible. The guidance also recognizes that responsibility means following the rules that already exist.

The Illinois Supreme Court’s guidance takes a relatively “pro-AI” stance. It recognizes the potential benefits of AI use, including efficiency and increased access to justice. The guidance authorizes the use of AI by litigants and judges and states that it should be expected rather than discouraged while also recommending that courts do not require litigants to disclose the use of AI in drafting pleadings.

judicial reference sheet accompanies the new guidance, providing basic information about AI and links to other resources. The reference sheet also discusses use guidelines, like attribution and confidentiality, and identifies possible issues, such as AI hallucinations and deepfakes. (The new guidance highlights that judges “remain ultimately responsible for their decisions, irrespective of technological advancements.”)

Although “pro-AI” in the sense of not requiring specific disclosure — and discouraging an outright ban — the guidance is better understood as reiterating that the current rules governing lawyers provide sufficient regulatory structure to address the serious risks that generative AI technology poses. The guidance specifically identifies two categories of risks.

First, the guidance acknowledges concerns about authenticity, accuracy, bias, and the integrity of court filings and decisions. It makes clear that Illinois courts will be “vigilant” against AI technologies that jeopardize due process, equal protection, or access to justice. The Illinois legislature recently responded to similar concerns by restricting the use of AI in employment practices.

Second, the court’s guidance highlights privacy and confidentiality, stating that AI use must not compromise confidential communications, personal identifying information, protected health information, justice and public safety data, security-related information, or “information conflicting with judicial conduct standards or eroding public trust.”

The court’s guidance states that the Illinois Rules of Professional Conduct and Code of Judicial Conduct apply fully to the use of AI technologies. Thus, any court’s or litigant’s use of AI must comply with existing legal and ethical standards. For example, lawyers have a duty to ensure the authority they cite in court filings is accurate and good law — this includes making sure cited cases are real and not “hallucinated” by generative AI tools.

Put differently, litigators in Illinois courts still have the professional responsibility to ensure that their factual and legal citations are accurate. And they, like others doing business in Illinois, must protect the private data that their technological tools may use.

As a firm, Taft is committed to utilizing AI responsibly, and has vetted and approved specific tools, such as Clearbrief and Lexis® Create+, formerly Henchman, that improve work product while satisfying regulations and other rules. Taft’s litigators continue to monitor and develop regulations and best practices on the legal uses of AI. For questions on how to implement an AI policy or how to navigate new laws and regulations, contact an attorney in the Technology and Artificial Intelligence team.

Make no mistake—your ERP implementation or Digital Transformation will be more difficult than expected.

What are some common causes of project failure?

  • In the cases we litigate, we often see customers who have failed to adequately test deliverables and functionality, invest in change management, and devote enough time to training.
  • ERP implementations are not just software development projects.
  • Understanding what you are getting into and having reasonable expectations is critical.
  • If you delegate responsibility for the project’s success to your integrator and expect to flip the switch on go-live and have everything magically work, you virtually ensure your project will fail

Keep in mind that digital transformations are not technology projects – they are business transformation projects.

  • You need to have a clear understanding of your business goals, a business case for implementing new software, and an understanding of what customizations are necessary and what functionality gaps you can live with.
  • If you implement technology for the sake of implementing technology, you are setting yourself up for failure.

I discuss these issues in my latest YouTube video.

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There is an old maxim that you should never get into a contract without the ability to get out of that contract. This is even more true with ERP-related contracts.

  • How do you walk away from an ERP contract with SAP or Oracle when that contract no longer works for you?
  • You may be unable to do it easily – especially if you failed to negotiate an expansive or flexible termination right.

ERP vendors like SAP, Oracle, and Infor offer discounts off the list price, expecting customers to purchase software for the duration of the contract.

  • They often include language in their contracts obligating customers to pay a termination fee to get out of a contract early or an acceleration clause obligating a customer to pay all fees due and owing for the remainder of the contract term.
  • Is this reasonable? Should you pay a termination fee? Do you have options?

Terminating an ERP software contract for breach is substantively different than terminating an ERP software contract for convenience.

  • Terminating a contract for breach with an ERP vendor, especially Oracle, SAP, and Infor, is not as simple as sending a notice of termination.
  • You need to document the basis for the termination, make sure your allegations of breach read on the vendor’s contractual obligations, and follow any termination and resolution obligations in the contract.
  • You also need to ensure you document the vendor’s breach of contract and the vendor’s efforts to cure the breach.
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Oracle is known for being aggressive during the sales cycle and dismissive of any issues or concerns arising during implementation. Oracle’s in-house legal department is often unreasonable and unwilling to compromise.

  • I’ve litigated against Oracle, negotiated with Oracle, and mediated disputes with Oracle throughout my career.
  • Make no mistake: Oracle is difficult to deal with. Their salespeople are aggressive, their lawyers are difficult to deal with, and they rarely make meaningful concessions.
  • It’s a culture that starts at the top.

If you are considering suing Oracle for a failed digital transformation or ERP failure, make sure you know what you are getting into and have counsel who has been there before.

You must have a good case before you sue any ERP software vendor, especially Oracle. What does that mean?

  • The reason you are suing – cannot be based on a subjective determination that the software does not work.
  • Litigating because the software does not work how you expected it to or is not as efficient as your legacy system is insufficient.
  • An objective, measurable, and substantive deviation from the software’s documentation or the vendor’s warranty obligations must exist.
  • If the vendor misrepresented the software functionality, your reliance on those misrepresentations must have been reasonable, and the misrepresentation must have been based on a present material fact—not future intent.

While I think you should do everything you can to salvage a failing project, Oracle may be unwilling to meet you halfway. If that is the case, you may have no choice but to litigate.

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Is it better to arbitrate or litigate digital transformation disputes? Like most things, it depends.

  • Arbitration is usually less expensive and quicker than litigation.
  • You can select an arbitrator with ERP software and technology experience, and the dispute is confidential.
  • In some scenarios, you may have a panel of arbitrators.

Choosing the right arbitrator(s) is everything. Pick incorrectly, and the results can be disastrous.

  • Some arbitrators are more concerned about resolution than the merits of the case.
  • This can result in questionable rulings that are virtually impossible to reverse.

With litigation, disputes are governed by rules of civil procedure.

  • Rulings can be appealed.
  • A perceived advantage of arbitration is that it is less expensive than litigation.
  • However, that is not always true. The upfront fees and the cost of the arbitrator (or arbitrators) can be costly.
  • I’ve seen arbitrations that rivaled the cost of federal court litigation.

Arbitration is not always preferable to litigation and is not always less expensive.


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As we often say, the Cloud is not a one-size-fits-all all proposition and it is not a silver bullet. It is a fundamental shift in how companies purchase software. It carries data security risks. If you need to customize the software to meet unique business requirements, the Cloud may not be ideal for your needs.

On-premise software traditionally consisted of a large up-front investment with a smaller ongoing maintenance obligation. With Cloud software, you are perpetually leasing software with the price increasing on an annual basis. It never goes down, and you can never stop the fee increases. Many Cloud products are not fully baked. Know what you are getting yourself into.

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