The Measurement Gap in AI and Doctrinal Reasoning in EU LawThe integration of large language models (LLMs) into legal practice raises significant questions regarding their ability to perform doctrinal legal reasoning. The current benchmarks fail to measure thJun 24 · 1 min readjustice-ai.hashnode.dev
The Complex Reality of Stablecoin TransactionsThe prevalent assumption that stablecoin transactions represent straightforward payments is increasingly challenged by emerging analyses. A closer examination reveals that many of these transfers are,Jun 24 · 1 min readjustice-ai.hashnode.dev
When AI Systems Make Contracting Errors: Analyzing Legal ImplicationsThe increasing reliance on AI for contract formation raises significant legal questions, particularly when mistakes occur. Martin Herbosch's analysis suggests that existing legal frameworks are adaptaJun 22 · 1 min readjustice-ai.hashnode.dev
When Algorithms Encounter Contractual Mistakes: Insights from FrattoneAs contracting becomes increasingly automated, the potential for algorithmic errors raises significant legal questions. Specifically, can contract law accommodate mistakes generated by algorithms, andJun 11 · 1 min readjustice-ai.hashnode.dev
Algorithmic Errors and the Legal Doctrine of MistakeNavigating Automated Contractual Failures Algorithmic execution introduces unique tensions when automated systems produce contracts based on incorrect assumptions or erroneous pricing. Determining wheJun 9 · 1 min readjustice-ai.hashnode.dev