3 papers
cs.CL2026
Towards Explainable Adjudicative Variance: Quantifying Judicial Discretion via Gated Multi-Task Learning
StanisÅaw Sójka, Felix Steffek, Matthias Grabmair
Legal outcome prediction must disentangle objective case facts from adjudicative context. Merit-based rulings rely on factual evidence while technical disposals may hinge on judici…
cs.CL2026
Accurate Legal Reasoning at Scale: Neuro-Symbolic Offloading and Structural Auditability for Robust Legal Adjudication
StanisÅaw Sójka, Witold Kowalczyk
Legal texts often contain computational legal clauses--provisions whose understanding requires complex logic. While frontier Large Reasoning Models (LRMs) can describe such clauses…
cs.CL2024
Incorporating Precedents for Legal Judgement Prediction on European Court of Human Rights Cases
T. Y. S. S. Santosh, Mohamed Hesham Elganayni, StanisÅaw Sójka +1
Inspired by the legal doctrine of stare decisis, which leverages precedents (prior cases) for informed decision-making, we explore methods to integrate them into LJP models. To fac…