Legal And Compliance
AI Use Cases
Identify and manage potentially fraudulent activity
Determine whether a transaction should be blocked because it involves some kind of fraud (e.g. credit card, identity, etc.). Detect suspicious customer activity comparing to their normal behaviours and also to behavioural norms in their customer segment.
Automate discovery of compliance status against GDPR regulation or similar data legislation
Automated checking for GDPR compliance is a significant issue as the regulation rolls out across Europe. Minimising compliance risk and data loss whilst not investing expensive resources in checking all instances requires automated tools.
Verify age through facial recognition technology
To ensure legal compliance with variosu age restrictions technology can abe used to analyse facial features and determine or predict a person's age. This can help retailers automate the selling of age-restricted items, such as alcohol or tobacco.
Codify legal expertise for automated deployment
Codifying legal expertise so that it is more widely available and understandable - potentially deployed through the medium of a text chatbot. Examples might be quick advice on potential bribery and corruption (e.g. what gifts are acceptable), employment law questions or generating NDAs.
Predict case including litigation outcomes
Predict the outcomes of legal disputes and proceedings based on analysis of past case records. This can be used to drive likelihood of pre-trial settlement or, indeed, case commencement decisions.
Predict the outcomes of legal disputes and proceedings based on analysis of past case records.
Automate legal research through search and referencing of documentation
Legal research is the process of finding an answer to a legal question or checking for legal precedent that can be cited in a case or during a trial. Legal research can help identify if a legal issue is a "case of first impression" that lacks legal precedent.