According to a recent LinkedIn post from Steno, the company is drawing attention to risks it sees in current artificial intelligence training practices. The post points to an InformationWeek contribution by Steno’s Senior Director of AI Products, Dan Ivtsan, who discusses how training models on AI-generated data can erode factual accuracy while maintaining fluent output.
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The post suggests that this degradation may go undetected by standard benchmarks, which often emphasize fluency over verifiable correctness. It also conveys Ivtsan’s view that synthetic data should complement, rather than replace, real-world data in AI training pipelines.
For investors, this focus indicates that Steno is positioning its AI offerings around data quality and reliability, which could be increasingly important in regulated and high-stakes environments such as legal technology. Emphasizing accuracy and model governance may help the company differentiate its products and appeal to customers that are sensitive to compliance and reputational risk.
If effectively integrated into its product roadmap, this stance could support premium pricing and longer-term customer relationships, particularly among enterprise legal and professional services clients. It may also align Steno with emerging best practices and potential future regulation around responsible AI, potentially strengthening its competitive position within the #LegalTech and broader AI markets.