Publican's proprietary predictive model uses as inputs the corpus of relevant precedent and a case's particular fact pattern. We like to say that our AI-approach has a human touch, a certain handmade craftsmanship, because our data scientists and legal experts translate the universe of unstructured data, such as relevant cases, into structured data that is capable of being used in artificial intelligence.
Publican is able to rapidly read and form an understanding of documents, before clearly displaying the results of this analysis to the user. Publican combines a number of disciplines within the field of artificial intelligence, including machine learning, natural language processing and pattern recognition.
- Artificial Intelligence: Technique that enables machines / computers to mimic human intelligence
- Machine Learning: Subset of Artificial Intelligence that uses statistical methods to enable machines / computers to improve with experience
- Natural Language Processing: Technique that makes it possible for computers to understand human language while still retaining the ability to process data at a much faster rate than humans.
- Predictive analytics: Predictive analytics is the use of data, statistical algorithms and machine learning techniques to identify the likelihood of future outcomes based on historical data.