Extract from Tony Reichenberger’s article “TAR and Gen AI: How They Compare”
This white paper by Tony Reichenberger, a seasoned expert with over 20 years of experience in eDiscovery, offers a comprehensive exploration of how advanced AI technologies are transforming legal document review processes. Tracing the evolution from traditional manual reviews to the era of Technology Assisted Review (TAR), and now to the cutting-edge realm of Generative AI, the paper provides valuable insights into the strengths, workflows, and limitations of each approach.
Readers will gain an in-depth understanding of TAR’s history, methodology, and how it enhanced efficiency and accuracy in legal reviews. The paper then delves into the revolutionary capabilities of Gen AI—comparing its intuitive, search-driven approach to TAR’s more structured model, and illustrating how Gen AI can streamline workflows, improve quality, and reduce review times.
Designed for legal professionals, eDiscovery practitioners, and technology innovators, this white paper highlights the transformative potential of Gen AI in legal discovery. It encourages early adoption and adaptation to stay ahead in a competitive landscape, demonstrating how embracing AI-driven tools can lead to more effective, defensible, and cost-efficient review processes.
