L'AILA

Document classification will identify the type of contract that is uploaded on the platform. There are multiple types of contracts like MSA, NDA, lease agreement, vendor agreement, MOU, etc. This feature will identify the type of contract that was received by the legal user.

Document similarity helps in identifying the existence of duplicate contract documents already present in the repository.

Multiple levels of content classification for identifying important clauses (payment term, IPR, termination, limitation of liability, etc.). Key information like payment period, mode of payment, currency of payment, and invoice period are also extracted from the contract.

Identifying stakeholders (tax, finance, insurance, delivery departments) of the organization who will review document content to ensure compliance with organizational standards.

Active learning from the feedback of users features captures responses from users for wrongly predicted data and then records this in a backend database, which is further used for retraining the NLP models to improve accuracy.

Performance metrics to understand the performance of the application. This includes accuracy metrics, operation metrics, and prediction metrics.

Data distribution details for understanding the drift in data used for training the models. This feature provides an option for users to add/modify the data that will be used for training.