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AI is now deeply embedded in how we build, deploy, and maintain software. This new paradigm is testing traditional licensing models.

Limitation of liability clauses are often reduced to one question: How much?

In our latest article by @Shelby Pearcy, she takes a closer look at how reframing the conversation can lead to more thoughtful and effective risk allocation.

Read the full article and share what creative approaches have you seen used to address a tight liability cap?

There is no question AI is transforming the hiring process. Employers are having AI screen resumes, rank candidates, and even evaluate interviews faster than ever. But speed doesn’t eliminate legal responsibility.
As regulators increase scrutiny of AI in employment decisions, organizations need to understand how existing discrimination laws—and newer state and local requirements—apply to the tools they use.

Force majeure sits at the center of one of contract law’s most important questions: when do extraordinary external events excuse a party’s failure to perform its obligations?

Our upcoming article explores how courts distinguish negligence and poor planning from truly unavoidable disruptions and why force majeure clauses have become critical risk-allocation tools in modern contracts.

What should lawyers prioritize when negotiating Quantum-as-a-Service (QaaS) contracts?

In a new article by #Amanda Cline, she outlines six critical areas that require early attention from legal, security, and compliance teams—particularly in regulated industries. From moving beyond traditional SLA benchmarks to addressing “proof of breach” challenges and quantum-specific liability risks, QaaS calls for a fresh contractual perspective.

Quantum computing is no longer just a research topic—it’s a fast-approaching risk management issue for regulated enterprises.
Dive into our practical roadmap, including a readiness checklist for cryptographic inventories, vendor reviews, and migration planning.

Read more from Jake Vollebregt for a practical roadmap to help mitigate risk, harmonize retention policies, and prepare for what’s next.

AI vendors are rolling out AI-specific licensing frameworks that govern how AI can be used, shared, and monetized. These frameworks go beyond ownership and liability and addresses transparency, traceability, and accountability—critical requirements in enterprise environments where compliance and auditability matter.

Read more from Jennah M. Michalik on why it matters and why YOU should be paying attention.

Java turns 30 — and remains a dominant force in enterprise software. But as Oracle shifts toward headcount-based licensing, organizations are weighing the cost of staying with Oracle Java versus exploring open-source alternatives.

This article by Jennah M. Michalik asks a very important question: How do you take your Java?

De-identification and anonymization are distinct data protection techniques. De-identification removes, deletes, or masks key personal identifiers or other unique attributes, such as client names or other fields, to reduce the risk of identifying individuals, organizations, or strategies. With de-identification, the data may still be discernable through other means, such as combining larger data sets or using codebooks, thereby retaining some re-identification risk.

Enterprise technology is typically the third-largest budget line item for most companies, after human capital and facilities. In recent years, software licensing has shifted from perpetual licenses to subscription and usage-based models.