Award-Winning Agentic AI Review Technology

automates document review for litigation and investigations.

This white paper details how Syllo revolutionizes document review by:

  • Enabling litigation teams to apply unlimited issue codes
  • Managing costs through dynamically allocating work to appropriately sized language models
  • Allowing legal teams to add follow-up issue codes cost-effectively by leveraging prior analysis of the data set.

Syllo’s agentic approach enables these unique features. Syllo coordinates multiple LLMs that organize and delegate the work of the document review between one another and autonomously make decisions about how to conduct the review within guidelines set by users.
Click here to read this white paper.

Empirical Studies

white paper highlights the experiences of 25 co-authors from elite litigation firms that contributed empirical case studies demonstrating how they used agentic Syllo’s AI document review in live litigation:

  • In a commercial litigation, Ballard Spahr used Syllo to review 100,000+ documents, achieving 99.4% Recall and 95.56% Precision.
  • Royer Cooper Cohen Braunfeld conducted a head-to-head comparison of Syllo against a managed review team in a complex commercial litigation with Syllo achieving 93.44% Recall and 69.81% Precision, significantly surpassing the human reviewers’ performance.
  • In an accelerated commercial litigation, Quinn Emanuel Urqhart & Sullivan (“Quinn Emanuel”) used Syllo to review 30,000+ documents, achieving estimated Recall above 98% and Precision above 74%.
  • Outten & Golden used Syllo to review 12,543 documents, tagging 484 as responsive with 84.09% Precision and 100% estimated Recall.
  • In a commercial dispute, Quinn Emanuel used Syllo to review 40,000+ documents to identify hot documents, achieving 98.69% Recall and 92.83% Precision in a zero-shot review, and found 200+ key documents not previously identified.
  • In a complex case with a 2-million-document universe, Quinn Emanuel used Syllo to identify 150 documents relating to issues introduced with newly filed claims and then, in preparation for depositions, identified 750 unique hot documents, including 120 documents not identified in previous reviews.
  • In a high-value litigation, Mayer Brown used Syllo to perform a cross-check review of 400,000+ documents, identifying 18,000+ highly relevant documents and escalating hot documents, including 50+ documents not previously identified.
  • Nixon Peabody used Syllo to efficiently label 9,000 produced documents by applying 30 issue codes, which accelerated the second-level review.
  • Quinn Emanuel used Syllo for early case assessment in a bankruptcy proceeding, reviewing 20,000+ documents from 15+ productions and identifying the 10 most relevant documents for each of the 25+ key facts.
  • Pillsbury Winthrop Shaw Pittman used Syllo to validate the review of 78,000+ documents for response to contention interrogatories, which simplified validation and identified additional responsive documents.

Click here to read this white paper.