Because notes have value.
Note-taking is a form of invisible semantic labour.
First, law is a 'high stakes' domain like medicine. The cost of error is too high.
Second, legal data is purely textual. It is easy to collect, combine, share, distribute, and own.
Nope.
It is the underlying 'trust layer' upon which reliable legal AIs can be built.
They are not trustworthy.
Judges cannot rely on them in open court.
Feeding a language model legal documents doesn't make it 'legal AI'.
Law is about interpretation.
Every interpretation is an annotation: a subjective mark on an objective text.
Hyvmind is being created for and by legal researchers.
The end goal to build an open and accurate legal notebook that is:
- ontologically plural
- fairly sourced
- composable into subgraphs
- organically weighted, and
- community owned.
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