Abstract
Large language models (LLMs) are able to perform sophisticated free-form reasoning tasks, including in the legal domain. Here, we introduce a framework (Dallma) for semi-structured reasoning and drafting with LLMs. The framework allows legal experts to create LLM-assisted tools for various use-cases, such as as filling in legal forms, providing legal information or even performing legal reasoning and argumentation. These tools are able to combine structured representations with large language models, seamlessly merging content and logical rules embedded in a template with information provided at runtime by a user or LLMs. We believe that this framework has important implications for eg access to justice.
| Original language | English |
|---|---|
| Number of pages | 5 |
| Publication status | Published - 2024 |
| Event | Workshop on Generative AI and Law - Vienna, Austria Duration: 27 Jul 2024 → 27 Jul 2024 Conference number: 2nd https://www.genlaw.org/2024-icml |
Workshop
| Workshop | Workshop on Generative AI and Law |
|---|---|
| Abbreviated title | GenLaw ’24 |
| Country/Territory | Austria |
| City | Vienna |
| Period | 27/07/24 → 27/07/24 |
| Internet address |
Fingerprint
Dive into the research topics of 'Dallma: Semi-structured legal reasoning and drafting with large language models'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver