
arXiv:2603.07539v3 Announce Type: replace Abstract: Islamic inheritance law is challenging for large language models because solving inheritance cases requires complex, structured, multi-step reasoning and the correct application of juristic rules to compute heirs' shares. We introduce \textit{MAWARITH}, a large-scale annotated dataset of 12,500 Arabic inheritance cases for training and evaluating models on the full reasoning chain: (i) identifying eligible heirs, (ii) applying blocking (\textit{\d{h}ajb}) and allocation rules, and (iii) computing exact inheritance shares. To the best of our k
The proliferation of advanced LLMs necessitates specialized datasets for complex, culturally nuanced reasoning tasks, highlighting an ongoing effort to push AI capabilities beyond general language understanding.
This development signals a critical step in enabling LLMs to handle intricate legal and cultural reasoning, which is essential for deployments in diverse global contexts and for creating more trustworthy AI systems in sensitive domains.
The availability of MAWARITH changes the landscape for legal AI development by providing a benchmark for evaluating and improving LLMs' ability to perform multi-step, rule-based reasoning in Islamic inheritance law.
- · AI developers focused on legal tech
- · Juristic scholars and legal professionals
- · Governments seeking AI solutions for legal administration
- · Middle Eastern tech sectors
- · LLMs without robust reasoning capabilities
- · Manual legal processing workflows
LLMs will become more adept at handling complex, culture-specific legal reasoning tasks, potentially automating parts of legal case analysis.
The improved accuracy in legal reasoning could lead to the development of specialized AI agents for legal advice or judicial support, particularly in regions with Islamic legal systems.
This specialization might contribute to a broader trend of 'localized AI,' where models are specifically trained and fine-tuned for the unique legal, cultural, and linguistic contexts of different nations or regions.
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