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New LAUKIN dataset aids cross-jurisdictional legal contract review

Researchers have introduced LAUKIN, a new dataset designed to aid in the cross-jurisdictional review of common law contracts. The dataset contains clause pairs from Australia, the UK, and India, labeled for legal equivalence. LAUKIN aims to address the limitations of existing legal NLP datasets, which are often confined to a single jurisdiction. The dataset includes both manually labeled and unlabeled pairs to support various research approaches in legal natural language processing. AI

IMPACT Facilitates development of AI tools for complex legal contract analysis across different common law systems.

RANK_REASON The cluster describes a new academic dataset and benchmark for natural language processing in a legal context.

Read on arXiv cs.CL →

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COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Amrita Singh, Aditya Joshi, Jiaojiao Jiang, Hye-young Paik, May Fong Cheong ·

    LAUKIN: A Multi-jurisdictional Common Law Contract Dataset

    arXiv:2606.13184v1 Announce Type: new Abstract: Multinational companies increasingly require cross-jurisdictional contract review, yet existing legal NLP datasets are largely restricted to a single jurisdiction. We introduce LAUKIN (Legal equivalence dataset of Australia, UK, and…

  2. arXiv cs.CL TIER_1 English(EN) · May Fong Cheong ·

    LAUKIN: A Multi-jurisdictional Common Law Contract Dataset

    Multinational companies increasingly require cross-jurisdictional contract review, yet existing legal NLP datasets are largely restricted to a single jurisdiction. We introduce LAUKIN (Legal equivalence dataset of Australia, UK, and INdia), a dataset of clause pairs (AU-UK, UK-IN…