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First — if a firm were to build a competitor, it wouldn’t be in their interest to license it under an OS license.


But as to the general concept of making an OS Harvey-type competitor, I’m sure there are some OS skills.md that get at what Harvey and others do.

I see Harvey having two moats over OS:
- refined, thoughtful workflows.
- data (precedent, playbooks, case law).

Both can be overcome, but the OS community may make it harder to converge on design given that it would be by committee.

As for the second point, OS isn’t really great for data from a legal standpoint. You need an authoritative source to depend on.

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Good point on relying on an OS license. On the data point, I thought Harvey had moved away from RAG and tuning its models. It just relies on frontier models, which are all better than any Harvey-tuned model. Anthropic has come out to say that RAG is now outdated and probably causes models to overindex on information. If the data moat you’re referring to is exclusive deals with Lexus or whoever to access their info, then I agree that’s a real moat.

Its pretty amazing

While harvey is marketed as a vertical ai saas product, insiders told me that it functions more like a thin Chat GPT/Lexis wrapper. Basically, the tool does a simple API call to lexis or gpt to generate responses, with minor pre and post processing of the prompts and the resulting output

Yup

I’m told by our AI committee that the ABA rules require that if we’re going to put client data into a model, (1) training on client data be turned off and (2) human review for fraud and abuse also be turned off as it’s a breach of confidentiality. For #2, it’s virtually impossible to get a frontier model to agree to this so Cowork is not an option. But somehow Harvey has been able to secure these commitments from its underlying frontier models? Curious if anyone else has heard similar.

partner 1 does not know much of AI

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