Syllo: Document Review Powered by AI
Find More Relevant Documents Faster, for Less
Syllo’s GenAI conducts highly-detailed document reviews, tagging documents for responsiveness, and renders outsourced human review and older review technologies obsolete. Used to review both document collections and opposing parties’ productions, Syllo identifies a higher percentage of relevant documents in a fraction of the time of older technologies. The result is a better review and a reduction in one of the most substantial costs of litigation.
- Better Results: Syllo regularly identifies a higher percentage of relevant documents than humans.
- 20x Faster: Human review and Technology-Assisted Review (TAR) take weeks or months to review a large document set. Syllo reviews millions of documents in just hours.
- Fraction Of The Cost: Human review costs ~$1.00 per document. Syllo’s document review costs a fraction of that.
Document Review Features Designed for Litigators
- Relevance Assessment: Syllo distinguishes hot documents from those that are peripherally relevant, so that attorneys can prioritize review of the most significant documents.
- Automated Chronologies: AI document review generates an automatic chronology for each issue, enabling lawyers to understand the order of events, master the facts, and build a stronger case faster.
- Tagging Rationales: AI document review provides a rationale for every tag that is applied, making it easier to understand the significance of the document.
- Highlighting and Navigation: AI document review highlights and navigates to the relevant section of the document, making it easier for legal professionals to find important information quickly and efficiently.
AmLaw25 Litigation Partner:
“We brought in Syllo early in a high-value litigation matter. The prior vendor used contract lawyers to tag hundreds of thousands of documents over 3-5 months at great cost. We tested Syllo’s AI capability against the human reviewed dataset. The results were staggering: in mere hours and for a fraction of the cost, Syllo coded documents using dozens of tags. Syllo used AI-enabled concept-based searching to identify specific needle-in-a-haystack-type documents missed by human reviewers. I am not an AI true believer, but I believe in Syllo—this is what AI was made for.”