Utilizing AI technology to provide an initial prototype that tracks high-risk developments in litigation documents for an efficient, cost-effective, and faster response in legal claims processing.
noun /ˈbreɪk.θruː/
AI-driven solution to effectively oversee live litigation efforts based on historical labeled data.
Employees can use data-driven advice to proactively manage cases
Identification and flagging of critical developments in litigation documents for a quicker response.
Our client, a leader in legal tech providing smart digital assistance for legal claims, noticed a key area for improvement in data-driven processes while handling a large volume of simultaneous claims. The challenge was to find an efficient and scalable method to augment live litigation control by utilizing historical labeled data.
The solution needed to be a quick prototype addressing the issue swiftly, cost-effectively, and with long-lasting effects, while taking advantage of the client's advanced dataset. We successfully implemented a prototype that tracks and identifies high-risk developments in litigation documents, allowing the client to react more rapidly. The AI-algorithm extracted relevant content from PDFs through content pattern clustering and classified the documents into their risk category, demonstrating the powerful outcomes achievable by leveraging AI and learning from data.
However here are a few common pain points that we often see, which can be solved through our programs and will lead to an AI breakthrough.