Through Neon Notations, we anonymize client data to create standalone templates that integrate seamlessly with confidential information when producing actionable legal advice. This approach allows us to maintain rigorous data privacy standards—an essential priority for a law firm committed to protecting what we regard as a fundamental human right. At the same time, it empowers us to train new practitioners in a way that aligns with our mission to improve access to justice.
Simulated or “synthetic” data is a well-established practice in modern data engineering. Many data engineering blogs emphasize the benefits of using simulated datasets for tasks like product testing, algorithm development, and educational training. By mimicking the statistical properties of real data without exposing sensitive details, organizations can share meaningful insights and collaborate more freely without compromising individual privacy.
A prominent example is Tonic, a company that provides synthetic data solutions for teams needing to analyze or share complex datasets—such as large sales tables—without risking confidentiality. In these scenarios, pricing or analytics teams can test their models on data with the same structure, scope, and behavior as real datasets, but devoid of personally identifiable information.
At Neon Law, we apply similar principles when teaching Neon Notations. Instead of working with actual client files, we use simulated data—fictional companies, products, and scenarios—to demonstrate how to:
Because none of this training data is real, our educational materials can be broadly shared in law schools and apprenticeship programs without risking the exposure of client information. This aligns with our commitment to keep client data secure and to further our ultimate goal: advancing access to justice while respecting the sanctity of privacy.
If you’re curious about integrating Neon Notations and simulated data in your educational or professional setting, please reach out to us at notations@neonlaw.com. We look forward to collaborating with law schools, apprenticeships, and other institutions to ensure that the next generation of legal professionals is well-equipped to practice ethically and efficiently in a data-driven world.