Zach Abramowitz is Legally Disrupted

E41 - The Future of AI is People: Legal Quants Founders Jamie Tso & Raymond Sun

What if AI doesn’t just replace software, but shifts the value of a tech company from the product to the people? That’s the real shift hiding in plain sight. As the models get better and cheaper, the product layer starts to collapse. And when that happens, the leverage doesn’t sit with whoever licensed the right platform. It sits with the lawyers who understand what’s happening underneath, the ones building their own workflows, configuring the models directly, and rethinking how legal work is produced in the first place. This isn’t about another AI tool. It’s about agency. It’s about moving from billing time to designing systems. And the gap forming right now between lawyers who experiment and lawyers who hesitate is going to matter a lot more than the next headline valuation.In this episode:
We’re probably focused on the wrong layer
As the models improve, the product matters less
Leverage is shifting toward lawyers willing to build
This isn’t about adopting AI - it’s about agency
The gap forming right now is going to compound
References:
Legal Quants - https://www.legalquants.com/
 
Learn More:
Zach - https://www.legallydisrupted.com/
 
Follow Along:
Jamie - https://hk.linkedin.com/in/jttso
Raymond - https://au.linkedin.com/in/raymond-sun-64576a122
Zach - linkedin.com/in/zachabramowitz

E40 - Lawyer Value in an AI World: Litigator, Coder & AI Evangelist Damien Riehl

What does it mean to be a valuable lawyer in the age of AI? In this episode, Zach sits down with litigator, technologist, and AI evangelist Damien Riehl to explore how legal expertise evolves, not disappears, in a world of generative models and automation. From his unique path as both a practicing attorney and self-taught coder to his widely discussed “All the Music” project, Damien argues that the future belongs to lawyers who understand systems, leverage technology, and rethink what clients actually pay for. This is a conversation about professional reinvention, leverage, and why AI may amplify - rather than replace - the best lawyers.
 
In this episode:
Why AI changes how lawyers deliver value, but not why they matter
The advantage of lawyers who can code (or at least think like engineers)
Damien’s “All the Music” project and what it reveals about IP systems
The difference between automation and augmentation in legal work
How litigators should think about AI tools today
Why understanding technology is becoming table stakes for legal credibility
What the next generation of high-value lawyers will look like
Learn More:
Damien - https://www.ted.com/speakers/damien_riehl
Zach - https://www.legallydisrupted.com/
 
Follow Along:
Damien -  https://www.linkedin.com/in/damienriehl
Zach - linkedin.com/in/zachabramowitz
 

E39 - AI vs Legacy SaaS in Legal: Min-Kyu Jung, CEO Ivo

Zach sits down with Min-Kyu Jung, founder of Ivo, to unpack one of the most honest AI startup stories in legal tech. This episode explores what it really takes to pivot in an AI revolution, why CLM may be in trouble, and how in-house legal teams are rethinking ROI in the age of AI.In this episode:
Why Ivo scrapped its original product to go all-in on LLMs
The “innovator’s dilemma” facing legacy CLM vendors
Why in-house legal and law firms are fundamentally different AI markets
How AI playbooks and redlining actually create ROI
The shift from “adoption” to measurable business impact
Why speed often matters more than accuracy in AI UX
How contract intelligence is becoming CLM 2.0
Learn More:
Min-Kyu - https://www.auckland.ac.nz/en/alumni/our-alumni/40-under-40/a-z-list-of-profiles/min-kyu-jung.html
Zach - https://www.legallydisrupted.com/
 
Follow Along:
Min-Kyu -  https://www.linkedin.com/in/min-kyu-jung
Zach - linkedin.com/in/zachabramowitz

E38 - How Will SaaSpocalypse Affect AI For Legal: Spellbook CEO Scott Stevenson

Zach checks in with second-time guest, Spellbook CEO, Scott Stevenson for a wide ranging conversation on some of the hottest topics of the day:
Why positioning AI for Legal as a two horse race is deeply flawed
The benefits of selling direct to lawyers as opposed to Chief Innovation Officers
In-house legal buyers versus law firms
BigLaw versus small and medium size law firms
How AI Startups will need to contend with the SaaSpocalypse
 
Learn More:
Scott - https://www.spellbook.legal/
Zach - https://www.legallydisrupted.com/
 
Follow Along:
Scott -  https://x.com/scottastevenson?s=20
Zach - linkedin.com/in/zachabramowitz
 
 

E37 - Zach and Richard’s Excellent Legal AI Adventure: Claude and the Legaltech Apocalypse

Zach reunites with Richard Tromans of Artificial Lawyer for another wide-ranging Legal AI Adventure, breaking down what it really means now that major AI players like Anthropic are officially entering the legal market. From the impact on commoditized legal AI tools to the rise of vibe coding, agentic workflows, and the looming decline of legacy legal tech implementations, Zach and Richard explore where legal AI is heading, and where lawyers should (and shouldn’t) be placing their bets as the industry moves toward an AI 2.0 era.
 
In this episode:
Will LLMs Kill LegalAI or Legacy SaaS
Vibe coding vs enterprise software
Generic AI versus Legal Applications
Implementations are a grift
The limits of automation
What will AI 2.0 mean for lawyers?
Learn More:
Zach - https://www.legallydisrupted.com/
Richard - tromansconsulting.com, artificiallawyer.com
 
Follow Along:
Zach - linkedin.com/in/zachabramowitz
Richard - linkedin.com/in/artificiallawyer, https://x.com/ArtificialLawya

E36 - Too Much FOMO: Why I'm Back on the Legal AI Startup Investor Train with Sandstone CEO Nick Fleisher

Zach announces that, for the first time since ChatGPT launched, he's investing in a legal AI startup. In this episode, he's joined by Nick Fleisher, CEO of Sandstone, to unpack why in-house legal teams, not law firms, may be the biggest winners of the AI era. Drawing on Nick's background at McKinsey where he advised law firms on AI, the conversation explores why legacy tools are failing lawyers and how AI can solve a problem that plagues in-house teams: working seamlessly with their business without slowing them down and being a bottleneck.
In this episode:
Why Zach decided to invest in a legal AI startup now
What in-house legal teams actually need from AI
Why CLM tools struggle with adoption and ROI
How AI changes legal’s relationship with the business
Measuring success beyond “time to contract”
Why vertical legal software beats generic AI tools
What makes Sandstone different from Harvey, Legora, and CLMs
References:
$10M Seed Round Announcement
Learn More:Zach - legallydisrupted.comNick - sandstone.com
Follow Along:Zach - linkedin.com/in/zachabramowitzNick - https://www.linkedin.com/in/nicholas-fleisher
 

E35 - Are Legal AI Assistants Moving In-House? GC AI Founder Cecilia Ziniti

Zach speaks with Cecilia Ziniti, founder and CEO of GC AI, about why in-house legal teams are often ahead of law firms when it comes to adopting AI - and what that signals for the future of the profession. Drawing on her experience as a former general counsel and AI leader, Cecilia explains why legal AI must be purpose-built for real workflows, how trust and precision shape adoption, and why lawyers who learn to work with AI will gain a lasting edge.
In this episode:
Why in-house legal teams are leading AI adoption
The limits of generic AI tools for legal work
What lawyers actually need from AI systems
Trust, accuracy, and citations in legal AI
How AI is reshaping legal workflows and roles
What it means to be an “AI-native” lawyer
Learn More:Zach - legallydisrupted.comCecilia - https://gc.ai/company/about
Follow Along:Zach - linkedin.com/in/zachabramowitzCecilia - https://www.linkedin.com/in/ceciliaziniti

E34 - How Will AI Work with Document Management? NetDocuments CPO Dan Hauck

Zach sits down with NetDocuments Chief Product Officer Dan Hauck to unpack how AI is truly being used inside law firms and in-house legal teams today - from large-scale document profiling to agentic assistants that search, summarize, and edit directly within the DMS. Recorded live at ND Inspire conference, Dan explains why lightweight models are unlocking new automation, how in-house teams are often leading on adoption, and why the real ROI of legal AI goes beyond efficiency to include better onboarding, less isolation, and more confident decision-making for lawyers at every level.
In This Episode
The biggest changes Dan has witnessed after 8 years of the Inspire conference
How firms are using AI at scale — not just on pilot use cases
Why automated document profiling is now possible across millions of docs
Understanding small models vs. large models in legal workflows
How AI pipelines classify, extract, and enrich metadata instantly
New use cases emerging inside the DMS (repapering, diligence, discovery, onboarding)
Why in-house teams are often ahead of firms in AI adoption
How agentic AI assistants reduce loneliness and cognitive overload
The ROI debate: real numbers vs. intangible benefits
What lawyers gain: better focus, faster context loading, and stronger client service
Why this moment feels like a once-in-a-generation shift in legal technology
Learn More:Zach - legallydisrupted.comDan - https://www.netdocuments.com/company/our-people/dan-hauck/
Follow Along:Zach - linkedin.com/in/zachabramowitzDan - https://www.linkedin.com/in/danhauck

E33 - Building the AI-First Law Firm: Jen Berrent on Covenant and the Next Era of Legal Services

Zach talks with Jen Berrent, former WeWork executive and founder of Covenant, an AI-first law firm reimagining how deals get done. They dive deep into what it means to build a law firm from the ground up around artificial intelligence — not as a tool, but as the foundation. Jen shares her perspective on why too much work still runs through Big Law, how AI is transforming the middle tier of legal work, and what it takes to balance human expertise with machine efficiency.
In this episode:
What an “AI-first” law firm actually looks like
How Covenant is redesigning legal workflows from scratch
The problem with Big Law’s “too much work, too few alternatives” model
Why reading comprehension is AI’s legal superpower
Building client trust in the age of automation
How AI can accelerate deals — without sacrificing rigor
The difference between a “relationship ramp” and a “SaaS snowball”
The challenges (and advantages) of raising funding in legal AI
Lessons from Robin AI’s struggles — and why clarity of business model matters
Why this is a once-in-a-generation moment for lawyers who want to innovate
Learn More:Zach – legallydisrupted.comJen – https://covenant.co/about
Follow Along:Zach – linkedin.com/in/zachabramowitzJen – https://www.linkedin.com/in/jenniferberrent

E32 - Harvey Co-Founder Gabe Pereyra on Building the Fastest-Growing Legal AI Company in History

Zach sits down with Harvey cofounder Gabe Pereyra to talk about what changed after “Attention Is All You Need,” why partners - not juniors - are driving Harvey’s adoption, and how AI is teaching law firms to learn faster than ever.
 
 
In this episode:
The origin story of Harvey and how it became the “Dallas Cowboys of Legal Tech”
Lessons from the early days of AI at Google Brain and DeepMind
Why the real opportunity isn’t automation — it’s amplification
How top law firms are already using AI for high-level strategic work
The emerging hybrid model of AI + human legal reasoning
Why firm size and structure could shift dramatically in the next decade
Rethinking ROI: morale, retention, and client trust as key performance drivers
How Harvey is helping firms pitch, collaborate, and win new business
The future of AI-first law firms — from pricing models to client partnerships
Learn More:
Zach - https://www.legallydisrupted.com/
Gabe - https://www.harvey.ai/blog/author/gabe-pereyra
 
Follow Along:
Zach - linkedin.com/in/zachabramowitz
Gabe - https://www.linkedin.com/in/gabepereyra