Our patent-pending process generates relevant communications and documents—from emails and meeting transcripts to contracts and regulatory filings—with embedded scenarios designed to evaluate legal AI tools, train staff, and demonstrate capabilities across litigation, investigations, and transactional work.
Seedless was co-founded by a seasoned attorney with extensive experience at major law firms, including managing complex eDiscovery projects, litigation technology, and client relationships at scale. The founding team combines this deep understanding of law firm operations and legal practice with technical expertise in AI/ML and unstructured data management, enabling them to address the specific data challenges law firms face when evaluating and implementing AI tools for discovery, document review, and client service.
This isn't a generic data company adapting to legal use cases; it's a purpose-built technology from practitioners who understand your practice.
Clients expect you to use and recommend the best AI tools for their matters, but you can't properly evaluate them because you don’t have access to the necessary client data that vendors require for meaningful testing. You're forced to rely on vendor demos and marketing claims rather than hands-on experience. You need to be the trusted advisor on legal technology—not just for your firm, but for your clients.
Seedless provides realistic fictional legal datasets that enable your firm to rigorously test vendor tools without compromising client confidentiality or attorney-client privilege. Beyond legal-specific documents, such as deposition transcripts or contracts, we also create the underlying business data that acts as a stand-in for those of your clients.
Our datasets deliver measurable impact on your evaluation process and technology decisions:
Your firm needs to train attorneys and staff on new technologies, standardize best practices across offices, and optimize workflows before deploying them on live matters—but you can't use client data for training exercises.
New associates need hands-on experience with document review platforms, eDiscovery tools, and contract analysis systems, yet providing that experience without exposing confidential information or risking conflicts-of-interest is nearly impossible. Workflow optimization requires testing new processes on realistic datasets to identify bottlenecks and inefficiencies, but pulling actual client files for process improvement initiatives creates unacceptable risk.
Seedless provides realistic fictional legal datasets that enable your firm to train personnel, build workflows, and optimize processes without compromising data privacy or requiring client approvals. Our datasets replicate the complexity and variety of real matters and matter-related business data, giving your team hands-on experience in a risk-free environment.
Our datasets deliver measurable impact on your team's capabilities and operational efficiency:
Your firm needs to build internal tools, workflows, and AI capabilities that serve your clients' unique needs, but development requires data you don't have. Building custom document automation, matter management systems, or AI-assisted research tools demands realistic legal data for testing and validation.
The Enron data is a non-starter. You can't use client files for development environments and generic placeholder data fails to capture the complexity your tools must handle. You need data for specialized legal capabilities that will set your firm apart.
Seedless provides realistic legal and business datasets that enable your firm to develop, test, and validate custom tools and workflows without compromising client confidentiality or requiring client approvals.
Our datasets deliver measurable impact on your innovation capabilities and competitive positioning: