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July 26, 2026Düzce Üniversitesi Bilim ve Teknoloji DergisiOpen Access

Augmenting Legal Reasoning with BERT: The Second Iteration of Bekenbey AI

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Authors

ADAli DeveciMEMerve ErkanİMİ̇hsan Tolga Medeni

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Overview

Randomized trial demonstrates improved document classification in legal AI, highlighting enhanced accuracy.

Key Points

  • This research aims to integrate BERT into the Bekenbey AI model to improve legal text processing and predictive analytics.
  • Enhancement of the existing Bekenbey AI pipeline with BERT integration.
  • Utilization of transformer-based approaches for legal applications.
  • Evaluation of model performance across multiple metrics.
  • The proposed BERT-enhanced model shows improved classification accuracy over the baseline.
  • Text generation quality is significantly enhanced with BERT's contextual embedding.
  • The new model achieves superior performance metrics across evaluations.

Cite This Study

Deveci et al. (2026) studied this question.

synapsesocial.com/papers/6a65a890d3aea3239cd78d1chttps://doi.org/10.29130/dubited.1770847
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1AI-Based Assistant for Generating and Analyzing Legal Documents2026
  2. 2Research on Performance Optimization of BERT Model in AI-Generated Text Detection2025
  3. 3Legal Buddy: An AI-Powered Courtroom Simulation And Legal Analysis Platform Using Retrieval-Augmented Generation2026
  4. 4A Systematic Literature Review of AI-Powered Legal and Financial Assistance Systems: Approaches, Challenges, and Future Directions2026
  5. 5BERT and Its Applications in Natural Language Understanding2025 · 2 citations