Technically Legal - A Legal Technology and Innovation Podcast

Jamie Tso and Ray Sun, the founders of LegalQuants, discuss a fundamental shift in the legal profession: the transition from legal engineering to "legal quant" work. The conversation explores how technically fluent lawyers are using vibe coding, frontier AI models, and first-principles thinking to move beyond mere efficiency and toward the complete redesign of legal services.
Jamie and Ray share their backgrounds in Big Law and their journeys into building custom legal tech tools. They delve into the origins of the LegalQuants community—an exclusive, invitation-only network of "builders"—and discuss the future of the billable hour in an era where AI can automate routine intellectual labor.
Episode Highlights
Jamie and Ray's origin stories: From annotating mutual fund prospectuses to early experiments with machine learning and TensorFlow.

Ray's background as one of the world's first Legal Engineers and the creation of his Global AI Regulation Tracker.

Defining the Legal Quant: How they differ from traditional Legal Engineers by seeking "alpha" and redesigning legal workflows from first principles.

The growth of the LegalQuants community: From a small WhatsApp group to a global network of elite lawyer-builders.

The "Unicorn Talent" gap: Why the next generation of elite legal work is defined by the operator, not the tool.

The death of the friction-based pricing model and the future of value-based billing.

Stress-testing Claude and Anthropic's Legal Plugin: Why the "ceiling" of AI utility is set by the lawyer's ability to design custom skills.

Things We Talk About in this Episode
LegalQuants Substack: legalquants.substack.com – Weekly digests and deep dives into legal AI strategy.

Global AI Regulation Tracker: techieray.com – Ray Sun's interactive map of worldwide AI laws and policies.

We welcome back Sabastian Niles, President and Chief Legal Officer at Salesforce, to discuss his recent "Open Letter to Law Firms." As the legal industry hits a critical inflection point, Sabastian argues that the era of "AI theater" and small-scale pilots is over.
The conversation dives deep into the Innovator's Dilemma facing law firms, the shift toward agentic AI, and how firms must reimagine their business models to remain competitive. Sabastian highlights that legal professionals are uniquely positioned to lead the charge in trusted AI transformation, provided they embrace transparency, data integration, and shared efficiency gains with their clients.
Specifically,  he offers four systems law firms and other service providers must establish if they want to succeed in the AI era: 
System of Engagement: A unified digital interface that replaces fragmented tools with seamless, real-time collaboration between firms and clients.
System of Agency: An ethically governed AI framework that scales firm capacity and reimagines service delivery while maintaining strict human oversight and compliance.
System of Work: A trusted, enterprise-grade platform that integrates daily professional applications into a cohesive, high-performance workflow.
System of Context: A secure "single source of truth" for client data that ensures strategic counsel is grounded in history while protecting attorney-client privilege.
Other Things We Talk About in this Episode
The End of the Pilot Era: Moving beyond experimentation to integrated, unified AI platforms is no longer optional—it is a prerequisite for competitiveness.

The Relationship Challenge: AI should be used to break down internal silos, allowing firms to bring their "tribal knowledge" and collective intelligence to every client engagement.

System of Agency: A shift from manual workflows to "agentic" systems where AI agents handle triage, research, and routine queries (e.g., Salesforce's Outside Counsel Support Agent).

Value-Based Evolution: Law firms must navigate the friction between the billable hour and AI-driven efficiency by focusing on superior outcomes and shared savings.

Trust as Propulsion: In legal services, trust isn't just a guardrail; it's a growth lever. Mastering "Trusted Agentics" ensures human-aligned AI that respects privilege and confidentiality.

Ayana Dow, Senior Counsel at the DeFi Education Fund (DEF) shares her unique career trajectory from Big Law and Capitol Hill to the forefront of decentralized finance policy. The discussion centers on the critical need for regulatory clarity in crypto, the distinction between decentralized protocols and centralized entities, and the ongoing efforts to educate lawmakers on blockchain technology.
Key takeaways include an analysis of how current market structure bills might shift oversight to the CFTC and the importance of protecting software developers to ensure the continued innovation of DeFi systems.
Episode Highlights
From Big Law to D.C. Policy: Dow discusses her transition from traditional M&A and regulatory work to policy-focused roles.

Experience on the Hill: Insights from Dow's time as a policy fellow for Congressman Jim Clyburn and her internship at the CFTC.

The Tennis Connection: How the real-time problem-solving skills learned as a collegiate tennis player apply to navigating shifting SEC guidance.

The Crypto "Genesis Block": Why the potential for financial inclusion and "debanking" issues drew Dow to the crypto industry.

Mission of the DeFi Education Fund: An overview of DEF's role as a nonpartisan advocacy group focused on sound policy and judicial education.

Law Firm vs. In-House Policy: The structural challenges of conducting long-term policy work within the billable hour model of a traditional law firm.

Why Focus on Developers?: Understanding why the DeFi Education Fund prioritizes the protection of software developers over specific tokens or protocols.

Market Structure & Regulatory Harmonization: A breakdown of recent SEC and CFTC guidance and the future of congressional legislation.

The Impact of Chevron Deference: Discussion on how the removal of Chevron deference changes how agencies and judges interpret financial laws.

 
 
Resources Mentioned
DEF's Myth v. Fact Sheet on the BRCA (Link)

A DEF blog post on the Promoting Innovation in Blockchain Development Act of 2026

A DEF Letter to the SEC in response to Citadel Securities

Kara Peterson and Richard DiBona, the husband-and-wife co-founding team behind Descrybe, discuss the legal research platform they built designed to "democratize access to the law." The discussion explores the unique dynamics of married cofounders and how they are leveraging Generative AI to disrupt a landscape long dominated by high-cost legacy providers.
Richard, a software engineer, and Kara, a marketing expert, share their journey from a personal legal issue to building a platform that processes over 100 billion tokens of legal data. They explain why they chose to build an AI-native system from the ground up rather than simply layering a "wrapper" over existing models—a decision that allows them to offer professional-grade tools at a fraction of the traditional cost.
In this episode, they discuss:
🔷 Why legacy legal research platforms have maintained such strong moats—and how AI changes that
🔷 The difference between "wrapper" AI tools and building a system from the ground up
🔷 How their structured, multi-step reasoning process improves accuracy and reduces hallucinations
🔷 What benchmarking against the Bar Exam reveals about legal AI performance
🔷 Where Descrybe is headed as they expand their toolkit

The legal industry is not confronting a single disruption but a redistribution of work, capital, and regulation across a system under stress.
The boundaries of Unauthorized Practice of Law (UPL) in the near term may be defined more by what regulators must allow than what they restrict.
These are just a couple of conclusions from author and legal business strategist Ken Crutchfield in a recent trilogy of articles he penned about the pressure artificial intelligence is placing on legal service delivery and regulations barring the unauthorized practice of law. 
In this episode, Ken is joined by Indiana University Mauer School of Law Professor, Bill Hendersonand ethics attorney Jim Doppke to discuss how Generative AI and Large Language Models (LLMs) are disrupting the legal industry.
The conversation focuses on the shifting boundaries of UPL regulation and how technology is redistributing legal work from traditional law firms to consumers and Alternative Legal Service Providers (ALSPs).
The panel explores the "Uberization" of UPL rules—where technology precedes regulation—and the tension between protecting the public from "bad" AI advice and yet leveraging these tools to bridge the massive Access to Justice gap.
Things We Talk About in this Episode
The ROI of AI: Significant investment in legal tech is driven by the potential to replace labor with technology, rather than just replacing older software.

Defining the Line: Regulators are struggling to distinguish between providing "legal information" (permissible) and "legal advice" (restricted).

The "Whole Product" Solution: While AI can generate drafts, it often lacks the "tacit knowledge" and human trust required to navigate the Byzantine court system.

Regulatory Shift: Rather than banning LLMs, regulators are increasingly focused on holding individual lawyers accountable for the "wrong" use of technology (e.g., failing to verify AI-generated citations).

Allied Legal Professionals (ALPs): Emerging roles, like those being piloted in Indiana, may serve as a human bridge between AI-driven tools and underserved populations.

Episode Credits
Editing and Production: Grant Blackstock
Theme Music: Home Base (Instrumental Version) by TA2MI