LLMediator: GPT-4 Assisted Online Dispute Resolution
This work addresses the need for more effective online dispute resolution tools for laypeople, though it appears incremental as it builds on existing ODR methods with AI assistance.
The paper tackles the problem of improving online dispute resolution for low-intensity legal disputes by introducing LLMediator, a platform that uses GPT-4 to reformulate messages and draft mediator responses, with initial qualitative evaluations showing promising potential for facilitating amicable settlements.
In this article, we introduce LLMediator, an experimental platform designed to enhance online dispute resolution (ODR) by utilizing capabilities of state-of-the-art large language models (LLMs) such as GPT-4. In the context of high-volume, low-intensity legal disputes, alternative dispute resolution methods such as negotiation and mediation offer accessible and cooperative solutions for laypeople. These approaches can be carried out online on ODR platforms. LLMediator aims to improve the efficacy of such processes by leveraging GPT-4 to reformulate user messages, draft mediator responses, and potentially autonomously engage in the discussions. We present and discuss several features of LLMediator and conduct initial qualitative evaluations, demonstrating the potential for LLMs to support ODR and facilitate amicable settlements. The initial proof of concept is promising and opens up avenues for further research in AI-assisted negotiation and mediation.