Trusted Data Is the Bottleneck: What We Learned at Legal Innovators California
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A month out from Legal Innovators California, one thing has stuck with us more than anything else on the agenda.
Over two days in San Francisco, 700+ participants, 60+ speakers, and 15+ exhibitors worked through the state of AI in legal — private practice on day one, in-house on day two. The two rooms wanted different things. But they kept arriving at the same wall.
Everyone wants AI in high-stakes work. Nobody trusts the data underneath it.
We’ve spent the weeks since testing that against every conversation we’ve had with General Counsels, firm leaders, and Private Equity portfolio teams. It holds. Here’s what we saw, and what our CEO Moiz Shirazi shared on stage.
Private Practice Day: The End of the Sandbox
Four themes dominated:
Industrializing AI. Firms are done with pilots and demos. The conversation has moved to integrating AI into core, high-stakes workstreams where clients actually realize the value.
The New Firm Paradigm. “AI-first” firms are forcing hard questions about associate training, billing models, and whether legal services get productized.
Agentic Ecosystems. MCP and autonomous agents are moving from technical curiosity to the substrate of complex, data-led transactions.
The ROI Mandate. The hype window has closed. Firms need frameworks that prove measurable financial return on major AI investment.
In-House Day: Taking Back Control
Internal capability and self-service. In-house teams are using AI to handle work that’s complex but frequent and empowering business units to self-serve. Reliance on outside counsel is shrinking by design.
The maturity of legal operations. Legal Operations is graduating from workflow support to driving data-led efficiency and scaling compliance.
Collaboration and data control. Evolved CLM systems and AI-driven knowledge sharing are letting companies reclaim ownership of their deal data and co-build workflows with partners rather than receive them.
New sourcing and pricing power. Pressure on the billable hour is no longer rhetorical. In-house teams are actively choosing AI-first providers and ALSPs.
The through-line across both days: everyone wants AI in high-stakes work, and nobody trusts the data underneath it.
Our Startup Spotlight: Navigate Legal Disruption with Precision
That gap is exactly what our CEO, Moiz Shirazi, addressed in SCOREalytics’ Startup Spotlight session.
Moiz began developing SCORE while at Baker McKenzie, where he served as a Principal Economist. This experience gave him a front-row seat to the complexity of global legal risk and the conviction that AI and data science could transform how companies navigate it.
Moiz was joined by Jennie Morawetz, our Chief Strategy Officer and former Kirkland partner. His opening point was a provocation: why should anyone pay a partner $2,000 an hour in the age of AI?
The answer is trust. You pay for experience, judgment, for knowing which questions to ask. And that’s precisely what AI hasn’t been able to deliver, not because the models are bad, but because the data is.
The number he put on screen:
- 65% of online content is now AI-generated. Legal AI tools searching the open web are often reading synthetic content — sometimes regenerated two or three times over.
- Even leading LLMs are wrong more than 30% of the time on legal questions in benchmark conditions.
- Roughly 20% of documents can’t be read by current models at all. When that happens, models don’t flag the failure; they revert to the mean and generate a plausible answer based on training priors. The user never knows.
Moiz shared that this is a data problem, not a model problem. The information lawyers need isn’t just unreliable — it’s unstructured, untagged, and stripped of the context that legal judgment requires.
What SCOREalytics does differently
We start with raw source material. Regulations, enforcement actions, and litigation from around the world — in local language, down to the country and province level. The source documents are from the governments that issued them.
Then we structure that data for legal judgment. Jennie and our team are training our models on how to parse raw documents into the frameworks executives actually use to monitor, track, and comply with the law. They do this in a standardized way to allow for comparisons across jurisdictions and extracting the context that high-level risk assessment and good strategic decision-making depend on.
The result is a high-dimensional representation that resists the shortcuts AI takes when context runs thin.
The Platform: Prioritization, Not Volume
Moiz was clear that SCOREalytics isn’t a point solution. It’s a collaboration platform, and the demo focused on the hard part.
Tracking regulatory, enforcement, and litigation data is table stakes. The difficulty is answering three questions:
Why does this matter? What are the financial consequences?
The platform prioritizes developments based on your company’s specific business facts, which can be adjusted as the business evolves, ranked by business impact. Every item links back to the source document. You can follow individual developments and be notified when they change.
Beyond point-in-time analysis:
- Trend forecasting — are litigation cases lengthening? Are penalties escalating? Which regulators are becoming more aggressive?
- Portfolio views — law firms monitoring risk across client portfolios; private equity firms tracking exposure across portfolio companies.
- Working groups — cross-functional teams from operations, finance, and legal collaborating on a specific regulatory topic, with firms brought in to layer their own know-how on top.
Built by People Who Have Done the Work
Moiz closed on the point that mattered most to the room. SCOREalytics was built by a former principal economist and a former partner at elite law firm, alongside a CTO with 30 years in AI and technology. Our advisory board includes law firm leaders, in-house counsel, and engineering experts.
The people building the solution are the people who have done the work, advised the clients, and carried the risk.
The Takeaway
Every conversation at Legal Innovators pointed the same direction: firms and in-house teams want to deploy AI on their highest-value decisions, and they can’t because they can’t trust what’s underneath.
Fix the data, and the judgment follows.
If you’d like to see the platform, we can show you how your team can move from reactive compliance to proactive strategic advantage.
About SCORE
Built by practitioners.
Powered by expertise.
Designed for decisions.
SCORE is a Strategic Compliance, Oversight & Risk Evaluator that leverages AI and technology, combined with human expertise and oversight, to transform global legal, regulatory and policy signals into forward-looking intelligence. Led by a former Baker McKenzie Principal Economist and a former Kirkland & Ellis Partner, SCORE serves corporations, law firms, and private equity funds.
