FieldTrainer is a YCombinator-backed eDiscovery AI platform that helps Am Law 200 firms train, evaluate, and deploy proprietary document-review AI models on their own infrastructure (self-hosted). Founded by an ex-Google AI team in San Francisco. The key proposition: instead of relying on vendor AI models (Relativity, Everlaw), firms can train their own models on their own data, keeping sensitive client information in-house. Posted on r/ediscovery and r/ReviewAttorneys recruiting review attorneys for AI training (Jan 2025). Very early stage — no reviews, no pricing public, no named customers. Name conflicts heavily with SportDOG dog training products in search results.
Company Info
- HQ: United States
- Sector: Litigation, Document Management & Storage
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, FieldTrainer is used in these workflows:
What practitioners struggle with
Real frustrations from legal professionals — the problems FieldTrainer addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.
eDiscovery costs are insane — traditional vendors charge per-GB processing fees that can hit $100K+ for a single matter, making it economically impossible for small-to-mid firms to run proper discovery
500K documents to review, contract attorneys burning out after 4 hours of screen-staring, nobody knows if the review is consistent across 20 reviewers — and the partner watching the budget bleed
Where it fits in your workflow
Community Data
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