Algorithmic Dispute Resolution (ADR) is an application of Artificial Intelligence, specifically Large Language Models (LLMs), to facilitate the resolution of disputes by suggesting fair settlements based on a database of legal precedents and evidence.
Rapid resolution of small-claims disputes, reducing costs and time for both parties compared to traditional court proceedings or arbitration.
The process involves inputting case details and evidence into an LLM. The AI analyzes these inputs against historical legal cases to suggest a settlement that is likely to be fair and legally sound, thus streamlining the dispute resolution process.
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Development involves training an LLM on a vast dataset of legal precedents, case law, and evidence submissions. The system is then fine-tuned using specific dispute scenarios to improve accuracy and relevance.
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