Abstract: Embodiments of the present disclosure support systems and methods providing functionality for identifying legal authorities from input data that does not contain legal citations. The legal authorities may be identified by first extracting a set of features from input data. The set of features may be used to identify a set of candidate legal authorities. The set of candidate legal authorities may be ranked and/or pruned to produce a set of legal authorities that are highly relevant to legal issues and facts within the input data.

Abstract: Methods and systems for providing mechanisms for presenting artificial intelligence (AI) explainability metrics associated with model-based results are provided. In embodiments, a model is applied to a source document to generate a summary. An attention score is determined for each token of a plurality of tokens of the source document. The attention score for a token indicates a level of relevance of the token to the model-based summary. The tokens are aligned to at least one word of a plurality of words included in the source document, and the attention scores of the tokens aligned to the each word are combined to generate an overall attention score for each word of the source document. At least one word of the source document is displayed with an indication of the overall attention score associated with the at least one word.