AI’s power in litigation is best understood by seeing it in action. Andrew Mancilla, a 15-year trial attorney and founder of OurFirm.ai, opens with a live demonstration: generating a real motion.
Then comes the twist: AI can produce a clean, convincing, completely fabricated citation generated live and indistinguishable from a legitimate authority until it is verified.
From there, the session covers what generative AI reliably does in litigation, where it fails silently, and how to bill for it. Most firms absorb AI as overhead by default. Rule 1.5 and ABA Formal Opinion 512 leave room to do otherwise, and clients approve the cost when they can see it sitting next to the hours it replaced. Attendees will leave with a practical framework for using generative AI effectively in their practice to increase speed, quality, and revenue.
What You Will Learn:
- What AI is reliably good for in litigation today, drafting, discovery synthesis, chronology-building, versus where it's structurally unreliable, finding authority on an open legal question or when pressured
- Why fluency is not the same as accuracy, and why the most convincing AI output is often the most dangerous, shown live, not just explained
- The verification discipline the current sanctions landscape now demands, and what "supervising AI output" actually requires under the ABA's guidance
- How to pass AI costs through to clients under Rule 1.5: overhead versus billable expense, actual cost with no surcharge, engagement letter language, and why you cannot bill the hours the tool saved
- A buyer's framework for evaluating any AI vendor: what verification and transparency should look like when recommending a tool to your attorneys + how to explain and pass AI costs through to Clients
- Where the rules are heading next, agentic AI, judicial simulation as routine prep, and what that means for how firms should be building AI governance now
Speaker:
Andrew Mancilla, Founder & CEO, OurFirm.ai
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