Evaluating Automated Contract Analysis Tools
The U.S.-based nonprofit organisation, The Atticus Project, has made a significant stride in the field of AI and legal document analysis by creating a dataset of legal clauses from contracts governing company acquisitions. This dataset, which consists of over 47,000 annotations explaining various legal clauses, is designed to train AI systems to review contracts more efficiently.
The dataset, which was extracted from 151 contracts, is focused on automating contract review. It is available on the official Atticus Project website or affiliated data repositories such as GitHub, Harvard Dataverse, or similar platforms. To access or download the dataset, users can look for sections titled "datasets," "resources," or "publications" that might host or link to the dataset.
It's important to note that users should review any documentation or licensing agreements provided to understand the terms of use before downloading the dataset. If the dataset is part of an academic or research initiative, it may also be distributed via a university or research group repository, requiring user registration or contact with project leads.
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Given the specialized nature of the dataset, it might also be shared through collaborations or publications related to AI and legal document analysis. To get precise access details, searching for the Atticus Project in legal AI research papers or the project's official communication channels would be the next best step.
For those interested, a more targeted real-time search or check on specific academic or data repository platforms could potentially yield a direct access link to the dataset.
The dataset, created by The Atticus Project, is utilized to train AI systems for more efficient contract review, and it can be found on their official website or affiliated data repositories like GitHub, Harvard Dataverse, or similar platforms. For those engaged in AI research, the dataset might also be shared through collaborations or publications related to this field.
