👋 Hi, I’m Andre and welcome to my newsletter Data Driven VC which is all about becoming a better investor with data and AI.
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The AI IPO Rush Is Coming
OpenAI and Anthropic could bring a new wave of AI attention to the public markets. But investors don’t have to wait for the IPOs.
MarketBeat’s 7 AI Stocks to Buy Now report reveals 7 publicly traded companies positioned to benefit from the next phase of AI investment.
Welcome to another edition of our Sunday “Resources” stream where we share our most valuable data & resources across four rotating formats:
For 1. and 3., we collaborate with best-in-class partners to ensure you get the highest quality data. For 2. and 4., we leverage our ever-growing product portfolio and share selective snapshots of the most sought-after resources from The Lab.
At the end of this post, you'll find a unique deep dive on "Do Investors Still Need a Lawyer?" with Marty Gomez (Goodwin), Jamie Tso (LegalQuants), and Ben Sneider (NEA).
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Automating Legals With AI
I'm excited to share one of the most watched sessions from the Virtual DDVC Summit 2026!
A few months back, Fred Wilson shared that USV now handles legal work internally, openly asking whether investors still need a lawyer at all. This session puts that question to three people who deal with it daily.
Ben Sneider, Assistant General Counsel at NEA (New Enterprise Associates) who sorts every legal matter by risk and complexity before deciding what stays in-house.
Marty Gomez, Partner at Goodwin, the law firm representing both investors and companies across the tech sector, where Legora now serves as the firm-wide AI tool.
Jamie Tso, a funds lawyer and founder of LegalQuants, a community of lawyers building their own AI tools instead of buying off-the-shelf legal software.
Their shared conclusion: AI has become a strong tool for surfacing information, leaving judgment as the part still held by traditional lawyers.
Watch if you want to learn:
The risk-versus-complexity grid NEA's counsel runs every legal matter through, and why landing in the wrong quadrant is the real warning sign
Why AI can benchmark an LOI against five years of deal data in seconds, and who's still on the hook if it's wrong
The fixed-fee pricing model already live at some AI-native firms, and where Goodwin says it quietly falls apart
How LegalQuants pushes lawyers to build their own tools rather than buy off-the-shelf software
How the role of a junior associate is quietly changing, and what skill now separates the ones getting ahead
Two things all three panelists agree AI won't touch anytime soon, one regulatory and one deeply human
... and a lot more
Here’s the link to the full panel discussion👇
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