Lawyers are understandably cautious about AI—but the real risk may be using it the wrong way. In episode 601 of the Lawyerist Podcast, Zack Glaser sits down with Matt Spiegel of Lawmatics to explore how agentic AI is changing the way law firms handle intake and evaluate potential clients.
Matt breaks down why surface-level AI tools fall short, how agentic AI can make informed recommendations instead of opaque scores, and what it takes to build trust in automated decision-making. They also discuss how better intake systems can reduce wasted time, improve lead quality, and support more intentional firm growth.
Listen to our other episodes on Artificial Intelligence in Legal Practice.
- #497: Real Talk About Artificial Intelligence in Your Office, with Ben Apple | Spotify | LTN
- #543: What Lawyers Need to Know About the Ethics of Using AI, with Hilary Gerzhoy Apple | Spotify | LTN
- #546: Unlock Law Firm Growth: AI marketing Secrets with Karin Conroy Apple | Spotify | LTN
Links from the episode:
https://www.lawmatics.com/
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Chapters / Timestamps:
00:00 – Introduction
01:28 – Meet Matt Spiegel
03:55 – From the Cloud to AI in Legal Tech
05:38 – Why Lawyers Are Cautious About AI
06:50 – Moving Beyond Surface-Level AI
08:51 – Why Lead Scoring Misses the Point
11:14 – What Makes Agentic AI Different
14:10 – Generative AI vs. Agentic AI
15:57 – Teaching Software to Make Decisions
17:17 – Automating Outcomes, Not Steps
20:10 – Why Lawmatics Was Already Agentic
21:47 – Trust, Guardrails, and Client Data
24:20 – What Qualify AI Does Differently
25:33 – Closing Thoughts
