Lawyerist Podcast Agentic AI for Lawyers: Moving Beyond Enhanced Search, with Drew Bloom
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Oct 2, 2025 Drew Bloom, an AI practitioner from Affinity Consulting Group, discusses the transformative potential of agentic AI in law firms. He highlights how these systems can autonomously handle tasks like redlining contracts and conducting deep research, significantly enhancing workflow efficiency. Bloom outlines the importance of structured data and good integrations for maximizing AI benefits, while also recommending practical ways for firms to start experimenting with AI connectors. As agentic features evolve, firms need to prepare now to stay ahead in legal tech.
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What Makes AI Agentic
- Agentic AI can take actions on your behalf by using tools and integrations rather than just chatting back and forth.
- The more steps it completes autonomously before asking, the more agentic it becomes.
Async “Deep Research” Is Agentic
- Deep research agents run tasks asynchronously and return fuller results later, unlike instant chat replies.
- That delayed, multi-step work is a core part of agentic behavior compared with assistant-style responses.
Break Tasks Into Steps
- Use orchestrators that break tasks into smaller steps so an AI can take incremental actions and improve accuracy.
- Design workflows that let models try many small steps and pick the best completion rather than rely on one giant reasoning pass.