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Start Date

3-8-2023 3:00 PM

Description

Our presentation will discuss the impact of ChatGPT on contract drafting pedagogy. Specifically, we will examine ChatGPT’s basis of knowledge and whether it has sufficient theoretical foundation to be used as a pedagogical tool; whether ChatGPT’s practical application supports proven methods of instructional delivery; and ChatGPT’s functionality as an assessment tool.

1. ChatGPT’s basis of knowledge and whether it has sufficient theoretical foundation to be used as a pedagogical tool

Our presentation will compare the pretraining of ChatGPT and to the typical Contract Drafting pedagogy. We will start by showing the program on a screen and asking it how it was trained and what principles it follows to draft contracts. We will then compare this to the principles students are taught to apply in a typical contract drafting class. Our working hypotheses is that ChatGPT draws from internet resources and follows basic principles of clear writing. In contrast, transactional attorneys typically either draft from scratch following whatever conventions they were trained on, or they start with a form or sample document and then revise it for a specific transaction.

2. Whether ChatGPT’s practical application supports proven methods of instructional delivery

We will then show an example of how ChatGPT works by giving it a prompt that would be typical in any contract drafting class and asking it to draft the applicable contract from scratch. It takes less than a minute for the program to draft the type of contract students typically draft in class. We will examine the sufficiency of ChatGPT’s output. The next step will be to highlight errors and other issues with the document ChatGPT drafts. We will ask the program if it can draft the contract following certain conventions (since drafting courses are typically taught according to conventions) and see whether it can actually do what it says it can do (it can’t). Ultimately, we will look at techniques that can be used to improve the quality and completeness of the documents ChatGPT produces so that it aligns more with the way contract drafting classes are typically taught. The program works better, for example, if you ask more specific questions and provide feedback on the output.

Comments

Presentation materials available for download by clicking the link above.

Sample assignment is available as an additional file, below.

COinS
 
Aug 3rd, 3:00 PM

ChatGPT in a Contract Drafting Class

Our presentation will discuss the impact of ChatGPT on contract drafting pedagogy. Specifically, we will examine ChatGPT’s basis of knowledge and whether it has sufficient theoretical foundation to be used as a pedagogical tool; whether ChatGPT’s practical application supports proven methods of instructional delivery; and ChatGPT’s functionality as an assessment tool.

1. ChatGPT’s basis of knowledge and whether it has sufficient theoretical foundation to be used as a pedagogical tool

Our presentation will compare the pretraining of ChatGPT and to the typical Contract Drafting pedagogy. We will start by showing the program on a screen and asking it how it was trained and what principles it follows to draft contracts. We will then compare this to the principles students are taught to apply in a typical contract drafting class. Our working hypotheses is that ChatGPT draws from internet resources and follows basic principles of clear writing. In contrast, transactional attorneys typically either draft from scratch following whatever conventions they were trained on, or they start with a form or sample document and then revise it for a specific transaction.

2. Whether ChatGPT’s practical application supports proven methods of instructional delivery

We will then show an example of how ChatGPT works by giving it a prompt that would be typical in any contract drafting class and asking it to draft the applicable contract from scratch. It takes less than a minute for the program to draft the type of contract students typically draft in class. We will examine the sufficiency of ChatGPT’s output. The next step will be to highlight errors and other issues with the document ChatGPT drafts. We will ask the program if it can draft the contract following certain conventions (since drafting courses are typically taught according to conventions) and see whether it can actually do what it says it can do (it can’t). Ultimately, we will look at techniques that can be used to improve the quality and completeness of the documents ChatGPT produces so that it aligns more with the way contract drafting classes are typically taught. The program works better, for example, if you ask more specific questions and provide feedback on the output.