The AI in Business Podcast What Large Language Models Mean for Lawyers - with Danny Tobey and Bennett Borden of DLA Piper
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Oct 24, 2023 DLA Piper Chief Data Scientist Bennett Borden and AI Practice Chair Danny Tobey discuss the use cases of large language models in the legal realm. They explore the benefits and drawbacks, the future of lawyers in an augmented AI world, and the impact on the legal profession in terms of democratizing the law.
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Fluency Versus Accuracy Trade-Off
- Large language models excel at fluent, nuanced conversation but can produce convincing inaccuracies.
- Lawyers must balance fluency with accuracy and build checks around model outputs.
Constrain Models And Verify Outputs
- Focus LLMs on a constrained document universe so outputs draw from the right context.
- Always verify model results because lawyers have a duty to confirm facts before relying on them.
Develop Prompting And Verification Skills
- Invest in prompt craft and model fine-tuning to get reliable legal outputs.
- Train teams to ask the right follow-up questions and verify model suggestions.