Episode Player
Daniel Long: The Reality Behind Building an AI-Powered Law Firm
Litigating AI
Chapters
0:00
Meet The CTO And Set The Stage
1:10
Physics, Startups, And Photonic Brains
3:02
Why Photonics Matters And Its Limits
5:10
Choosing Garfield Over A PhD
6:20
Small Claims Reality Versus TV Law
8:10
The Access To Justice Gap
10:20
What Garfield Is: Expert System Plus AI
12:20
Encoding Procedure And Substantive Law
14:10
Where AI Helps And Where It Shouldn’t
16:00
Conversational Design And User Behaviour
17:40
Modular Architecture For Legal Workflows
19:10
Repetition In Legal Processes
20:40
Pricing Models And AI’s Impact
22:10
Speed, Cost, And Unmet Legal Need
24:00
Open Models, Frontier Labs, And Safety
26:00
Growth Curves And Real-World Constraints
28:00
Courts, APIs, And Better UIs
30:00
Launch Lessons And Client Outcomes
31:50
Recognition, Grants, And What’s Next
36:00
Closing Thoughts And Thanks
Litigating AI
Daniel Long: The Reality Behind Building an AI-Powered Law Firm
Jan 08, 2026
Season 1
Episode 3
Garfield AI
In this founder-to-founder conversation, Philip Young (CEO) and Daniel Long (CTO) unpack their legal product Garfield AI. Built around precision and empathy, the result is a guided path through small debt claims that feels friendly on the surface and is rigorous under the hood.
We begin with Daniel’s background in physics and his journey to legal tech, exploring how energy, scale, and reliability shaped our architecture. We then consider the broader implications of faster legal processes, including the changing economics of justice and the potential for AI-enabled triage and drafting to increase access to legal services.
