Natural Language Processing: (NLP) is a subfield of artificial intelligence (AI) concerned with processing and analysis of natural language data to develop an "understanding" including the contextual nuances in the content. This technology can be used to accurately extract information and insights contained in legal documents such as contracts or insurance claims

• Legal Question Answering: we ask specially trained NLP models legally pertinent questions, for example what is the governing law, to identify relevant answers in legal documents such as contracts. The foundational AI model used and modified is licensed under a CC BY 4.0 license. The modifications made by DocLens.ai are not covered by that license
• Named Entity Recognition(NER): we identify specific legally relevant entities such as the Venue in Claims files using pretrained models on NER tasks
• Legal Document AI: applies different NLP AI methods and text search techniques with legal phrases. We use small to large sized state of the art AI models ranging from a few million (BERT) to more than a billion parameters. We use open source Python frameworks such as Huggingface Transformer models to rapidly prototype new approaches. We employ latest hardware accelerated AI model retraining and inferencing to custom build solutions to meet our enterprise clients unique needs