Please read the topic category description 11 to understand what this is all about


Description
The Contract Understanding Atticus Dataset (CUAD) is a new dataset for legal contract review. Legal contracts often contain a small number of important clauses that warrant review by lawyers. This is a time-intensive task that requires specialised knowledge, so the goal of this project is to see if Transformer models can be used to extract answers to a predefined set of legal questions.

Model(s)
Many of the Question Answering models 3 on the Hub could serve as a good baseline to get started. Given the specialised domain, you will probably want to try:

Fine-tuning encoder-based models like BERT, RoBERTa, DeBERTa and friends
Performing domain adaptation, by first fine-tuning the language model before tuning the question-answering head


Datasets
CUAD 16 is available on the Hub.

Challenges
This is a highly specialised domain, so a vanilla Transformer may not obtain great results.

Desired project outcomes
Create a Streamlit of Gradio app on  Spaces that allows someone to select a legal contract, one or more questions, and provide the answer.

Additional resources

CUAD announcement 9
CUAD paper 10
CUAD codebase 1


Discord channel
To chat and organise with other people interested in this project, head over to our Discord 2 and:

Follow the instructions on the #join-course channel
Join the #ai-law-assistant channel

Just make sure you comment here to indicate that you’ll be contributing to this project