Our advanced cognitive platform allows the collection of large amounts of structured and textual data from heterogeneous legal sources: it can process and structure them automatically thanks to powerful Artificial Intelligence and Deep Learning algorithms for natural language understanding (NLP) and the information contained in texts.

Minerva for legal investigates similarities between heterogeneous data from different sources, suggests and performs automatic classifications of documents and legal cases, analyzes historical data to build accurate forecasts, examines work practices by extracting value and transforming it into useful knowledge in decision-making processes.

How can you benefit from all this? Through the 3 functional directions that the solution offers:

• Legal Automation: Supports legal professionals in managing cases through the automation of activities, resulting in increased productivity. During the case processing cycle, the ability to automate a series of activities normally performed manually is certainly an added value in terms of productivity improvement. Legal Automation includes applications of Legal Natural Language Processing that apply the most innovative NLP techniques in the legal field.
• Legal Discovery: Builds an advanced search experience on documents and unstructured content. Allows search by concepts, entities, semantically similar words, citations, legislative references. Use of Smart Suggestion approaches. Increase productivity and supports decision-making. Legal Discovery applications allow the retrieval of valuable information buried in the large volume of documents, using a “cognitive” approach that contextualizes the information to be retrieved.
• Legal Analytics: Builds proactive systems during the case processing cycle. Creates customized dashboards for advanced data analysis. Minerva can perform both diagnostic and predictive qualitative analyses, supporting decision-making and adding value to the organization.

The information distributed in the legal area is numerous and heterogeneous. Reporting and business intelligence provide valid support but usually focus mainly on producing quantitative analysis that does not provide qualitative summaries to be used in decision-making processes. Legal Analytics introduces new AI models and techniques in the legal field to promote valuable qualitative analyses that can support the identification of improvement strategies in legal process management and the construction of proactive systems.