June 2025, Part 2, Top 5 Takeaways:
1. Tool Utilization and Effectiveness: Different AI platforms excel in various areas, and understanding which AI tool to use for specific tasks is crucial. This was discussed by Ben Schorr, who highlighted that while Microsoft 365's CoPilot is best for data rooted in Microsoft’s ecosystem, tools like Gemini or ChatGPT often deliver better results for more generalized queries.
2. AI and Human Interaction: The way users interact with AI can influence its responses. There was a debate on whether being mean to AI, as suggested by Robert Langster, produces better results. Dennis Kennedy and others discussed that AI might reflect the tone of the user, potentially providing more professional responses when approached politely.
3. AI Tools in Legal Practice: The wrong use of AI tools, especially in legal fields, leads to inefficiency. Mathew Kerbis emphasized avoiding using ChatGPT for tasks like legal research, where purpose-built tools are more appropriate. This aligns with Ben Schorr’s stance on using CoPilot for non-legal specific tasks.
4. Conferences and Learning: Value from AI-related conferences can be elusive, often providing superficial information. Genuine value is found in practical, hands-on sessions or inside-the-industry implementations, as Greg Kochansky noted from his experience at the Equal Justice Conference.
5. Future of Legal AI and Arbitration: Technological advancements in AI have significant implications for the future of dispute resolution in legal contexts. Greg Kochansky discussed AI's potential to streamline and cost-effectively resolve disputes, emphasizing the importance of developing efficient tools for both business and consumer arbitration processes.
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