#1
The AI Contract Clause Every Startup Is Missing Right Now
"I reviewed 40 AI vendor agreements this year. The same critical clause was absent in 37 of them — and it's the one that matters most when the model hallucinates and causes real damage."
Why it works
Founders and CTOs are signing AI vendor contracts without legal review. A specific, pattern-based observation like this signals deep transactional experience without revealing any single client. It naturally prompts DMs asking for a review.
#2
Who Owns the IP When Your AI Writes the Code? The Answer Is More Complicated Than You Think
"Your AI-generated codebase might not be protectable under current US copyright law. Here is the precise legal framework founders need to understand before their next funding round."
Why it works
IP ownership of AI outputs is a live legal debate that directly affects startup valuations and due diligence. This analytical take positions the lawyer as a technical expert and attracts both founders and VC counsel who need clarity on this issue.
#3
5 Legal Risks in Your AI Startup That Your Seed Deck Is Probably Ignoring
"Investors are starting to ask harder questions about AI legal risk. Most seed-stage founders are not prepared for any of them."
Why it works
A listicle framed around investor scrutiny hits two audiences at once — founders who fear due diligence surprises and VCs who want to know their portfolio companies are protected. The analytical structure makes it highly shareable in startup communities.
#4
Hot Take: The EU AI Act Will Be the GDPR of the Next Decade — and US Startups Are Sleepwalking Into It
"Every US founder building an AI product that touches EU users is already subject to the EU AI Act. Most of them have never heard of it."
Why it works
A bold regulatory prediction backed by a specific compliance reality commands attention from founders building internationally and VCs with European portfolios. The hot-take format encourages debate, which drives algorithmic reach on LinkedIn.
#5
What Should AI Startups Actually Put in Their Terms of Service Right Now?
"I keep seeing AI startup ToS documents that were clearly written for a SaaS company in 2018. What specific clauses do you think are non-negotiable for an AI product in 2024?"
Why it works
An open question directed at the startup and legal community invites engagement from founders who then self-identify as needing legal guidance, and from peer lawyers who add credibility through discussion. The analytical framing keeps the tone authoritative, not salesy.
#6
A Founder Asked Me If They Could Train an AI on Their Competitor's Website. Here Is the Full Legal Analysis I Walked Them Through.
"It is one of the most common questions I get from AI startups right now, and the honest answer is: it depends on five very specific factors that most founders have never considered."
Why it works
Framing a common founder question as a structured legal walkthrough demonstrates expertise in a relatable, non-promotional way. It mirrors the consulting value founders would get in a paid engagement, building trust before they are ready to hire.
#7
The Difference Between an AI Limitation of Liability Clause and One That Actually Holds Up
"Not all liability caps are created equal. When an AI system causes a provable business loss, generic boilerplate will not protect you the way a carefully drafted clause will."
Why it works
This technical insight speaks directly to both AI vendors drafting their own agreements and startups reviewing vendor contracts. It demonstrates transactional precision and signals the kind of analytical depth that earns referrals from other lawyers.
#8
7 Questions to Ask Before Your Startup Signs Any AI API Agreement
"Most founders sign AI API terms in under three minutes. Here are the seven questions that could determine whether they own their outputs, protect their data, and survive an enterprise sales cycle."
Why it works
Practical, numbered checklists perform exceptionally well with the founder audience on LinkedIn and are highly shareable. Each question subtly reflects a common legal issue, positioning the author as someone who understands both the business and the legal layer of AI products.
#9
Are VC Term Sheets Starting to Include AI-Specific Representations and Warranties? What Are You Seeing?
"I have been tracking shifts in how investors are structuring AI-related reps and warranties in term sheets. Are other lawyers and founders noticing this trend in their deals?"
Why it works
Directing a question at both lawyers and VCs positions the author at the intersection of the startup ecosystem and legal practice — exactly where a startup lawyer wants to be visible. Responses from investors and founders create warm relationship signals and inbound opportunities.
#10
Hot Take: AI Startups Do Not Have an IP Problem — They Have a Contracts Problem
"Everyone is obsessing over whether AI-generated content can be copyrighted. The real legal exposure for most AI startups is buried in the contracts they signed 18 months ago."
Why it works
Reframing a popular narrative with a contrarian but well-supported position drives high engagement from founders, investors, and legal peers. The analytical confidence signals authority and invites structured debate, amplifying reach while reinforcing expertise in both IP and transactional AI law.