In April, we discussed:
1. Practical applications and benefits of Paxton, Perplexity, and NotebookLM.
2. The importance of understanding specific needs and applications before selecting AI tools, such as budget, ease of use, and security (e.g., HIPAA compliance).
3. Learning effective prompting for optimizing the use of AI.
4. Budget constraints and the cost-effectiveness of AI tools compared to hiring associates.
5. Suggestion for more practical tech-oriented teachings at legal conferences, including sessions by tech providers to allow deeper understanding and engagement.
6. Recognized the rapid pace of AI development and the challenge for lawyers to keep up.
7. Focused on integrating AI tools into existing workflows and selecting them based on practical uses, e.g., generating documents, analyzing cases.
8. Addressed the inevitability of continuous change in legal AI and the need to stay curious and adaptable.
9. Benchmarking legal AI against foundational AI and the importance of practical application in real legal tasks.
10. Recommended experimenting with different tools, using AI to summarize complex theories, and approaching AI with curiosity and a sense of fun.
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