https://tolgadimli.github.io/tags/legal-ai/Recent content in Legal AI on Tolga DimliogluHugo -- 0.147.2enTue, 18 Nov 2025 00:00:00 +0000https://tolgadimli.github.io/indcollab/data1/Tue, 18 Nov 2025 00:00:00 +0000https://tolgadimli.github.io/indcollab/data1/A modular retrieval-augmented LLM framework for automating contract revision analysis and optimization under low-resource, real-world industrial settings.https://tolgadimli.github.io/papers/paper1/Sat, 15 Nov 2025 00:00:00 +0000https://tolgadimli.github.io/papers/paper1/We propose a retrieval-augmented LLM system that automatically identifies and rewrites problematic industrial contract revisions, achieving high accuracy even in low-resource legal settings.https://tolgadimli.github.io/papers/paper4/Fri, 15 Mar 2024 00:00:00 +0000https://tolgadimli.github.io/papers/paper4/We introduce gradient-norm–weighted averaging methods for distributed deep learning that pull workers toward flatter regions of the loss landscape. The proposed model-level and layer-level variants converge in both convex and non-convex settings and empirically achieve faster training, better optima, and reduced communication compared to prior work.https://tolgadimli.github.io/papers/paper5/Mon, 28 Aug 2023 00:00:00 +0000https://tolgadimli.github.io/papers/paper5/We propose an automated, bi-level document classification pipeline for regulatory text that first filters irrelevant documents using an ensemble of classical classifiers and then routes relevant documents to the appropriate departments using a transformer-based DocBERT model, significantly improving efficiency and accuracy over single-model approaches when evaluated on a large real-world corpus from Con Edison.