Syllo is an AI-native, unified litigation platform developed by TLATech Inc. and designed as a single system of record for the full litigation lifecycle, including case management, eDiscovery, and work product generation. The platform is powered by a combination of proprietary Syllo models and foundational LLMs and is built to serve litigation case teams at law firms and corporate legal departments.
Key features and functions include:
Case Intelligence Layer Syllo's Case Intelligence Layer grounds the platform's AI outputs in the full context of the case record. The system automatically adapts as new facts emerge, aligning AI-generated content with current case theories without requiring manual re-prompting.
Case Management The platform provides tools for uploading and organizing the litigation record, including pleadings, written discovery, and deposition transcripts. Users can build interactive timelines, monitor deadlines, and create task reminders from within the platform.
Dynamic Chronologies and Narrative Building Syllo supports the construction of case chronologies by combining attorney input with AI-generated analysis of the evidentiary record. The system can surface connections within the factual record and produce exportable summaries with hyperlinked citations to the underlying documents.
Exhibit and Binder Management The platform enables teams to organize evidence into exhibits and binders and automatically tracks where and how exhibits are referenced across a matter. Materials can be compiled for depositions or trial use.
Transcript Management Syllo supports import of standard court-reporting formats including text, audio, and video. Users can annotate, excerpt, and synchronize transcripts, manage deposition designations and counter-designations, and connect testimony directly to chronologies and exhibits.
eDiscovery Syllo includes a full-feature eDiscovery module that integrates with the platform's broader case management and agentic AI document review capabilities.
Agentic AI Document Review Syllo's agentic document review system orchestrates multiple LLMs to autonomously complete first-level document review across large litigation datasets. The system supports an unlimited number of issue codes applied across millions of documents and is designed for responsiveness, privilege review, and identification of key documents. .
Work Product Generation and Analysis The platform supports open-ended querying of the case record, generation of specialized summaries and deposition digests, and drafting of work product grounded in case documents. Outputs include hyperlinked citations to source materials.
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