For providers of Legal technology, Seedless generates hyper-realistic fictional business data that replicates the complexity, context, and nuance of real business documents and communications, without requiring any seed data or access to private information.
For providers of Legal technology, Seedless generates hyper-realistic fictional business data that replicates the complexity, context, and nuance of real business documents and communications, without requiring any seed data or access to private information.
Our patent-pending process uses AI agent simulations to create realistic emails, chat messages, meeting transcripts, contracts, edocs, regulatory filings, and other documents in datasets that contain embedded scenarios specifically designed to test and showcase AI tool capabilities in the legal tech space.
Seedless' founding team brings over 15 years of legal technology experience, including leadership roles at major law firms and global enterprises where they managed eDiscovery, legal operations, and unstructured data challenges. This deep domain expertise, combined with technical backgrounds in AI/ML simulations and software engineering, positions them to uniquely understand and solve the data scarcity problems facing legal AI adoption.
This isn't a generic data company adapting to legal use cases; it’s a purpose-built technology from practitioners who understand your business.
You need data to demo your tools but the Enron dataset is a non-starter and Jeb Bush’s documents aren’t much better. Yet privacy regulations, client confidentiality requirements, and data protection concerns prevent law firms, legal service providers, and corporate legal departments from using their own sensitive data for testing, demonstrations, or proof-of-concept evaluations. This creates a painful paradox: buyers need to see AI tools in action on realistic data before committing to expensive enterprise purchases, but they cannot provide their own data for these evaluations.
Seedless highlights the features of your tool by creating custom datasets specific to the industries of the clients you’re selling to.