Advofin is a provider of litigation financing and supports clients in the enforcement of justified claims. In order to process initial inquiries more efficiently and provide interested parties with orientation at an early stage, Advofin relies on an AI chatbot for litigation financing that supports the digital initial review of legal cases in an automated and structured manner.
The Challenge – Automated Initial Review of Legal Cases as Request Volume Increases
Every day, Advofin processes numerous inquiries from interested parties who want to know whether their case is fundamentally suitable for litigation financing. This initial assessment is decisive for the further course. So far, it has mainly been done manually.
The processing required time and coordination and sometimes led to delays. At the same time, interested parties expect quick and clear feedback on their prospects of success. Differing valuations and a lack of transparency in the initial contact increased operational expenses and could lead to uncertainty on the customer side.
The aim was therefore to automate the digital initial review of legal cases. The quality of the evaluation should be maintained and at the same time a solution should be created that scales reliably as the volume of inquiries increases.
The Solution – AI Chatbot for Legal Services with Microsoft Copilot Studio
INKUBIT supported Advofin in building an AI chatbot for litigation financing, which serves as the first point of contact for interested parties. The chatbot was implemented with Microsoft Copilot Studio and integrated directly into the website.
It answers questions on the basis of a structured knowledge base and at the same time guides users through a rules-based initial qualification. Relevant criteria such as the amount of damage, responsibility and available evidence are systematically taken into account.
Interested parties thus receive a clear assessment of the fundamental suitability of their case at an early stage. At the same time, the evaluation is carried out according to uniform and comprehensible rules. The low-code implementation enables Advofin to flexibly adapt content and criteria and to continuously develop the solution.
The result was a scalable and consistent solution that improves the user experience and noticeably relieves internal teams.
The AI chatbot provides interested parties with orientation at an early stage and ensures uniform initial qualification. At the same time, it significantly relieves our team, as simple inquiries are answered automatically and we can concentrate more on complex cases
The results with INKUBIT – More efficiency and transparency through automated case qualification
Faster and clearer initial qualification
The AI chatbot answers inquiries immediately and guides interested parties through the initial case review in a structured manner. This gives users a clear assessment of their basic chances of success at an early stage.
Noticeable relief for internal teams
Standard inquiries and simple preliminary checks are processed automatically. The team can focus more on complex cases and individual reviews.
Uniform and comprehensible assessment
All requests are evaluated according to the same criteria. Decisions are consistent and transparent, regardless of the volume of requests or the time of processing.
Scalability with increasing enquiries
The chatbot remains stable even as volume grows. New case types and changed requirements can be flexibly integrated.
Positive user perception
Initial feedback shows that the speed and comprehensibility of the solution in particular are perceived as added value.