LJN - Cybersecurity Law & Strategy

Don't Let AI Distract You from What's Really Breaking: The Security Basics

Mon, 01 Jun 2026 03:33:56 EST

AI is becoming both an accelerant and a distraction for cybersecurity. In many respects, AI is acting as a stress test for existing security operations by exposing how difficult many organizations still find it to enforce basic controls consistently at scale.

Legal AI's Biggest Mistake: Treating All Workflows the Same

Mon, 01 Jun 2026 02:47:43 EST

Artificial intelligence is rapidly embedding itself into legal workflows, but much of the conversation treats all use cases as if they carry the same level of risk, even if they do not. The more useful question is not whether AI works, but where it can be safely applied and where it cannot.

The Most Important Tool for AI Savvy Lawyers? It's the Right Mindset

Mon, 01 Jun 2026 02:47:35 EST

AI-savvy lawyering is already something that clients are starting to demand. The technology is capable; the challenge now is cultural and organizational change.

AI Deployment In the Real World

Mon, 01 Jun 2026 02:47:16 EST

There is a difference between deploying AI in an existing workflow and rethinking how legal work gets done. The organizations seeing more fundamental change are the ones redesigning their operating model around what the technology makes possible.

The AI Hallucination Problem Is Temporary, the Disruption to Legal Training Is Not

Mon, 01 Jun 2026 02:46:58 EST

If junior attorneys are prevented from doing the hard work of rowing the oars by an entirely cost-efficient AI-model, they may lose the years of on-the-job training needed to become those experienced senior attorneys that can take the helm.

Navigating Cybersecurity Risks In the Era of Agentic AI

Mon, 01 Jun 2026 02:46:50 EST

The autonomy and proactivity of AI agents will potentially unlock extraordinary efficiencies, but also may introduce new, untraversed surface area for cyberattacks. When AI systems are empowered to act, errors and compromises can cascade faster and farther than human-driven incidents.

Data As Value and Risk: Litigation Issues Face Technology Providers and Their Customers

Mon, 01 Jun 2026 02:46:30 EST

This article is the first in a multipart series examining litigation risk in the modern technology supply chain. Here, we set the stage by looking at the role of third-party data processors, the types of disputes that commonly arise and the contract provisions that most often determine outcomes when those disputes turn into litigation.

Can the Right of Publicity Survive AI?

Mon, 01 Jun 2026 02:46:24 EST

Generative AI makes high-fidelity replication of human voice, face, persona, and creative style available at near-zero marginal cost, at global scale, at the speed of an API call. Each unauthorized commercial use would, in theory, violate the right of publicity — but in practice, detecting it, identifying its source, and obtaining a remedy costs more than almost any individual claim is worth

AI Transparency: Clear Explanations Matter More Than Disclosure

Fri, 01 May 2026 00:16:59 EST

As AI becomes embedded in everyday business and legal operations, organizations are confronting a new expectation: simply disclosing AI use is no longer enough. A critical shift is taking place in the legal industry: transparency is no longer just about disclosure; it's about comprehension.

Output vs. Process: When Attorneys Should — and Shouldn't — Use AI

Fri, 01 May 2026 00:14:59 EST

Clients have pushed back on what they are willing to pay for since long before anyone heard of a large language model. AI is the latest chapter in a long story about legal fees. But it introduces a wrinkle that prior tools did not.

The Intelligence Pipeline: How AI Is Transforming Relationship Signals Into Revenue Opportunities

Fri, 01 May 2026 00:12:59 EST

Across practices, offices, and partner relationships, firms operate with limited visibility into where meaningful connections exist and when those connections signal real business potential. The idea of a fully captured “single view of the client remains difficult to achieve. The question is no longer how to improve CRM adoption. It is whether the underlying model is fit for purpose.

Illinois Department of Human Rights Rules In AI and Why Employers Should Care

Fri, 01 May 2026 00:10:59 EST

The Illinois Department of Human Rights has drafted rules for the implementation of the new amendments. Below is a list of questions employers should be able to answer before integrating any new AI tool into their business in order to avoid costly penalties for violations of the new rules.

How the Current AI Investment Boom Is Reshaping Commercial Contracts for Technology and Data Companies

Fri, 01 May 2026 00:08:59 EST

Businesses and investors are increasingly including AI-specific representations and warranties in commercial contracts and agreements, reassessing longstanding data strategies and sharpening their focus on protecting the rights in data that parties provide to one another.

Copy, Paste, Liability: AI Copyright Pitfalls and How to Avoid Them

Fri, 01 May 2026 00:06:59 EST

Mass web-scraping for AI training, authorship of AI-generated works, and the scope of fair use in data-hungry systems are reshaping what “copyright risk even means for a business. Companies that treat copyright as a mere box-checking exercise, or that assume long-standing internal practices are low-risk, increasingly find themselves out of step with how courts and regulators are thinking about AI-driven uses of content.

Federal AI Policy Threatens State Laws

Fri, 01 May 2026 00:04:59 EST

Together, EO 14365 and the National Policy Framework for Artificial Intelligence raise questions about the future of state and local laws governing employers' use of AI, many of which are intended to protect against discrimination in connection with the use of AI.

The Five Barriers Blocking Legal AI Adoption (Part One)

Fri, 01 May 2026 00:02:59 EST

After more than a hundred conversations with general counsel, chief legal officers, and legal operations leaders over the past seven months, I expected to hear complaints about AI accuracy or capability. The same five barriers appeared in conversation after conversation. Here's what's actually stopping deployment, and how to diagnose which barriers are blocking your team.

LJN - Cybersecurity Law & Strategy

Don't Let AI Distract You from What's Really Breaking: The Security Basics

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Copy, Paste, Liability: AI Copyright Pitfalls and How to Avoid Them

Federal AI Policy Threatens State Laws

The Five Barriers Blocking Legal AI Adoption (Part One)