AI in eDiscovery: How Machine Learning Transforms Litigation Support

⚡ Key Takeaways

• {'point': 'TAR 2.0 Outperforms Traditional Review', 'detail': 'Continuous active learning achieves recall rates matching or exceeding human review teams while reducing costs by 60 to 80 percent in large document populations.'} 𝕏
• {'point': 'Courts Broadly Accept AI-Assisted Review', 'detail': 'Since the landmark Da Silva Moore decision in 2012, US courts have consistently endorsed TAR as defensible, focusing on methodology transparency and statistical validation.'} 𝕏
• {'point': 'Human Oversight Remains Essential', 'detail': 'Ethical obligations require lawyers to supervise AI-assisted review processes; privilege determinations and quality control cannot be fully delegated to algorithms.'} 𝕏