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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.
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:
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By Zach Abramowitz5
33 ratings
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.
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:
Follow Along:

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