#Extractionto automatically process and understand natural language (NLP), information contained in legal texts, documents or images and metadata;

#Retrieval to extract (search & discovery) information in natural language using semantic similarity, for concepts, metadata and navigable elements (interlinks);

#ContentIntelligentEnrichment with legal prediction solutions on time, costs and outcomes; litigation similarity to identify practices similar to practices under analysis; legal recommendation to suggest the choice of lawyer to assign to a practice; language generation (NLG) to support the writing of legal documents.

Integration via APIs within the organisation's pre-existing information ecosystem:
:

#Legal Big Data HUB allows the collection, aggregation and classification of different legal sources into a single data lake constituting the knowledge base;

#Cognitive Search Engine is an smart search engine that acts on the knowledge base to extract information of interest through natural language queries and semantic analysis;

#Advanced Analytic Engine facilitates advanced data analysis for correlations, time/cost forecasting of case processing, performance analysis of the legal process.

#LegalDiscoveryAPP - for an improved smart search experience on concepts, entities, semantically similar words, citations and legislative references in documents and tabular and textual content;

#LegalAnalyticAPP - customised dashboards for advanced exploratory, diagnostic and predictive data analysis;

#APIExplorerAPP -to create new services from the aggregation of services already available on the cognitive platform.