Instincts.
Instincts are great when you’re choosing which startup to bet your career on or which burrito joint to test out on a cloudy Tuesday in the Mission. (For those wondering, the answer is El Farolito. And Mamacita’s if you’re in the South Bay.)
But unlike a $10 burrito, instincts don’t scale well when you’re deciding whether to fight or settle a $150 million lawsuit. And yet, that’s exactly how modern corporate litigation still operates.
Corporate litigation, for all its sophistication, is still an intuition business.
Guided more by gut feel than ground truth. Driven more by heuristics than hard data. Influenced more by hunch than intelligence.
Brilliant attorneys make judgment calls under extreme uncertainty because that’s the only way decisions have ever been made. Data exists everywhere, but almost none of it connects the dots between what’s known, what’s probable, and what’s at stake.
And that’s the problem… a $365 billion-a-year problem.
The Hidden Inefficiency.
Every year, corporations spend hundreds of billions of dollars on litigation, decisions about whether to settle, pursue, or defend, often made on experience and incomplete data.
The irony: the people making those calls are some of the most analytical professionals on earth. But, the systems around them weren’t designed for foresight.
The systems and tools were built for documentation, not prediction.
Spend ten minutes with any Fortune 500 GC and you’ll get a masterclass on how archaic, gut-feel, and high-stakes litigation decision-making still is and how hungry the market is for something better.
The Bridge Between Instincts and Intelligence.
That’s the bridge Theo decided to build.
What they’re building isn’t just “AI for law,” it’s the only predictive engine and proprietary dataset for litigation. It’s the decision-intelligence layer trained on the hidden breadcrumbs and patterns within case facts, venues, and historical outcomes.
Their engine doesn’t replace human judgment; it augments it.
By translating unstructured, noisy data into foresight and contextual probabilities, Theo helps legal teams see the likely before it happens: outcomes, costs, and reserves — all within privilege boundaries.
In a world where every miscalculation can mean hundreds of millions in exposure, this shift isn’t incremental; it’s existential.
Why now.
Every major industry eventually collides with data that changes the way decisions are made. Finance had quant. Marketing had attribution. Legal has Theo. The timing feels almost inevitable.
Five years ago, this wouldn’t have been possible; it’s unlocked by three forces converging:
- Technical maturity: Modern models can finally reason across nuanced, domain-specific content.
- Cultural readiness: Enterprise’s trust in data environments that preserve privilege and security is increasing.
- Economic pressure. GCs face a new mandate: predict outcomes → manage reserves → (im)prove ROI.
Legal judgment is moving from gut instinct to probabilistic insight — and Theo sits squarely at that inflection point.
Why Patrick.
I first met Patrick, CEO of Theo AI, at Google where he stood out immediately for the intensity of his curiosity.
He had a bias toward outcomes. He challenged convention without ego. He focused energy only where it created momentum. In my experience, those traits — curiosity, courage, and a bias for progress — are some of the best predictors of success.
But what ultimately convinced us wasn’t the demo, the deck, or blue-chip design partners.
It was the precision of his team’s questions and the nuanced insights they brought; the kind that reveal someone who understands not just what’s possible, but what’s required to earn trust in an industry built on it.
The Co-Architects Building the Future.
Patrick hasn’t built this alone. He’s partnered with Tiago (CTO, serial entrepreneur) and Jay (CPO, former Head of Legal @ Apple, former COO @ SAP). And he’s surrounded by a stacked network of advisors, some of the most respected legal minds in the world, representing institutions that collectively manage thousands of active matters:
- David Fox, Ret. Global Management Exec Committee @ Kirkland & Ellis
- Sandra Leung, Ret. General Counsel @ Bristol Myers Squibb
- Jared Sine, Chief Legal & Strategy Officer @ GoDaddy
- Jessica Nguyen, Deputy GC @ DocuSign
- Christophe Mosby, Associate GC @ HP
- Aruna Krishnamachari, Associate GC @ eBay
- Brian Liu, Founder & Former CEO @ LegalZoom
They’re not ornaments on a slide deck; they’re co-architects of a new workflow. Their fingerprints are already visible in how Theo approaches privilege, auditability, and adoption. That’s the heart of what Theo is solving.
Why We Partnered.
The world has seen this movie before. Industries that live on intuition eventually collide with data that changes the game. Theo isn’t trying to remove judgment from the legal process. It’s giving judgement x-ray vision.
We believe human expertise becomes exponentially more powerful when paired with context-rich intelligence.
That’s why we’re proud to partner with Patrick and the Theo AI team as they redefine how legal teams make some of their most consequential decisions.
Looking Ahead: Automation vs. Revelation.
Prediction in law will always be probabilistic — and, that’s what makes it both hard and exciting.
The shift from gut to ground truth isn’t about replacing people; it’s about unlocking better decisions, faster. AI doesn’t just automate. It reveals. And in law, it’s revealing that the future of judgment isn’t less human; it’s more informed, it’s more clear.
Most breakthroughs start as obvious in hindsight. We believe Theo AI will be one of those.
