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I'm curious: this discussion is all about improving software that understands legal language. Are there any (long-term) efforts to improve legal language to mak
by semi-extrinsic 11y ago
I'm curious: this discussion is all about improving software that understands legal language. Are there any (long-term) efforts to improve legal language to make it easier to understand for software?
- rwmj 11y agoIt's my understanding that this project is doing that: http://codex.stanford.edu/ http://codex.stanford.edu/, trying to turn law into something like computer code. See also: http://logic.stanford.edu/complaw/complaw.html http://logic.stanford.edu/complaw/complaw.html
- conceit 11y agoThere seems to be a bunch of projects. Lacking an AI to do the job let me extract what caught my eye and seems to be answering the question. >The Hammurabi Project is an experiment in converting legal source material to the C# programming language. [...] The idea is to grow a body of source code that mirrors the structure of U.S. federal and state legislation, regulation, and case law. https://mpoulshock.github.io/hammurabi/ https://mpoulshock.github.io/hammurabi/ >The Stanford Computable Contracts Initiative (SCCI) is working on legal technology that will help move the world from natural language based contracts toward a world of computable contacts. > The project [Designing and Understanding Forensic Bayesian Networks with Arguments and Scenarios] ’s new approach is to link the successful statistical modelling technique of Bayesian networks to models that effectively dovetail legal argumentation and scenario construction in the legal world. http://www.ai.rug.nl/~verheij/nwofs/ http://www.ai.rug.nl/~verheij/nwofs/ >Instead of automating legal work, I intend to focus on augmenting legal work. Specifically, my project [Computational Linguistics and Effective Legal Drafting] focuses on using advances in computational linguistics technology to help lawyers draft more precise and error-free legal documents like contracts, regulations and statutes.