AI-powered litigation workspace. Flagship product Syllo offers a secure, AI-driven workspace for managing the entire litigation lifecycle — from data loading to depositions. Integrates advanced language models for case strategy development and document review. Canada-based, founded 2019, $9.9M funding, 1,215 LinkedIn followers. Significant funding indicates meaningful market traction in the litigation AI space.
Company Info
- Founded: 2019
- Team size: 1-10 employees
- Funding: $9.9M
- HQ: Canada
- Sector: Legal Research
What We Haven’t Verified
This page was assembled from publicly available information. Feature claims and workflow mappings are based on what the vendor and third-party listings publish — not hands-on testing or practitioner feedback.
Workflows
Based on practitioner evidence, Tlatech is used in these workflows:
What practitioners struggle with
Real frustrations from legal professionals — the problems Tlatech addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.
Litigation team building a case chronology across 50,000 documents, 30 depositions, and hundreds of exhibits does it in Excel or Word — no single platform connects facts, people, events, and evidence into a searchable timeline, so critical connections between a witness statement and a document are missed
When my litigation team receives 100,000 documents in discovery and the partner wants an early case assessment by Friday, I need to understand the key facts, players, and timeline before we've even started formal review — but right now the only option is throwing associate hours at it and hoping we surface the right documents
Where it fits in your workflow
Community Data
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