Need automation for Legal processes?
Administrative Law, Case Law, Civil Law… You can solve virtually any kind of Legal problem with ElinarAI which we have specified to the automation of different Legal processes.
We can train ElinarAI to understand a specific legal context. In this context, ElinarAI can extract general and situational parameters from the matter. It could be, for example, an administrative decision or a court case. This is what we call a meta-structure for a legal case. When we know the meta-structure of a case, it is possible to automate case processing or decision making using traditional Business Rules.
Read here how we can improve efficiency in courtrooms
Courtrooms around the world are struggling with improving their Efficiency, Accuracy / Correctness of the Resolutions and Traceability. They need to manage and understand a huge amount of information – from old court cases to the latest legislation. Decision fairness, archive management, inefficient workflow, and endless paperwork… All of this can be improved with a higher level of automation that Elinar provides – all in one go.
Read here how we can help you manage a criminal investigation
Elinar created a comprehensive solution for managing criminal investigations and prosecution in Montenegro. The same solution can be implemented in various investigative processes or operations. The solution makes the criminal investigation and prosecution processes automatic, documented and manageable. It also makes processes efficient, traceable and compliant with local legislation and EU requirements.
ElinarAI for Real-Time Situational Awareness
Law enforcement requires accurate situational awareness. This is typically built from multiple sources of information and updated frequently. Unfortunately, any officials’ written reports are usually exempt from this kind of activity. Written reports do contain large amounts of critical information what should be available.
Challenge is that humans can report this kind of information in so many different ways; consider a police officer filing a report about a neighborhood regarding a break-in. There are several things that can be understood from the report including the type of housing and conditions but can be written down using so many different ways. The single report usually means nothing. But when there are multiple reports that have similar parameters in them there is a pattern. ElinarAI allows early detection of these parameters so that this data can then be used as part of standard data analytics.
ElinarAI is a form of supervised learning; this means that before using AI, it needs training data. We can export them from an existing IT system or workers can generate them manually. But before this training can take place we must identify a sufficient Meta-Structure for the problem. And this is work for Legal Professionals who understand the domain of the legal matter.
Meta-Structure creation is always a balance between accuracy and effort; a more detailed Meta-Structure will yield more accurate results. It still will require more training data and effort to generate training data will be higher. We are currently working with a legal researcher who is creating a systematic methodology for assessing legal Meta-Structure complexity vs. expected outcomes.
Do not hesitate to contact us for more information about this research!