Dr. Ephraim Nissan of Goldsmiths’ College, University of London has published Legal evidence and advanced computing techniques for combatting crime: an overview, Information and Communications Technology Law, 22, 213-250 (2013).
Here is the abstract:
Surprisingly, evidence used to be a Cinderella until the late 1990s in ‘AI & Law’ (artificial intelligence for law), itself a burgeoning domain already in the 1980s. It was not until the 2000s that models of reasoning about legal evidence started to feature prominently. In so doing, it became vulnerable to the controversy about ‘probabilities in law’ among legal theorists; hence, the importance of developing models of plausibility (i.e. ranking alternative accounts) as opposed to strong commitment to probabilistic models of determination of guilt. Probabilistic models however potentially have a role in helping a prosecutor decide whether to prosecute. Moreover, they are quite useful in models supporting police investigation or helping with police intelligence. This is especially the case of data mining, a class of techniques which has been applied to legal databases as well as to law enforcement. Success was achieved especially in unravelling networks and in detecting fraud. We survey these classes of tools.