ILTACON 2026 · Booth H6 in the Startup Hub
Seedless - Synthetic Data for AI Training
All of the realism.
None of the risk.
Seedless generates hyper-realistic synthetic legal data. Interconnected emails, contracts, and matter files with embedded scenarios and known answers so firms and vendors can test, benchmark, and train AI tools without touching privileged material.
Get the Sample Dataset
You can’t test what you’re not allowed to see.
You can't evaluate a tool on data you're not permitted to share.
Anonymization is slow, expensive, and strips out the context that made the data useful.
So firms buy on demos and vendor claims instead of evidence.
See How Synthetic Data Works
What is in the
Seedless Data
sample?
Email threads across a deal team, with the ambiguity and dead ends real threads have
Contract drafts and redlines showing negotiation history
Meeting notes, invoices, and filings that reference each other correctly
An answer key — labeled privileged docs, planted issues, and known relationships,so you can score what your tool actually caught
Stop by and see for yourself.
Booth H6 in the Startup Hub · ILTACON 2026 · Aug 23–27
Bring what your tool caught and what it missed.
That conversation is more useful to both of us than a demo.
Book 15 minutes

Patent-pending agent-based simulation.

Founded by a former AstraZeneca Head of Legal Services & Technology Strategy and a former Lockheed Martin engineering lead. GDPR, HIPAA, and CCPA compliant by construction — there's no real data to protect.

Download the Dataset
Experience the difference of hyper-realistic synthetic data with Seedless. Let us know how it performs. We would love for you to be our next case study.
Seedless - Synthetic Data for AI Training
Here’s your Seedless sample matter.
Everything below is generated.
No client documents, no anonymization, nothing that needs a DPA.
Download as .zip
For loading into a review platform or your own tooling.
View a sample (PDF)
View samples of the realistic synthetic matter in the dataset
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