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Systems that use machine learning to do document review actually already exist. E.g. https://kirasystems.com https://kirasystems.com. They currently still need
by tensor 11y ago
Systems that use machine learning to do document review actually already exist. E.g. https://kirasystems.com https://kirasystems.com. They currently still need a lawyer in the loop to review and adjust the results, but eventually will be accurate enough to produce summaries that are more accurate than a human without any intervention.
Traditional law firms are starting to invest in software like this. While it can be used to reduce hours, it can also be used to sell more by increasing the value of the hours spent. For example, instead of doing a review of a subset of a clients documents, they can offer to review all the documents for the same, or even slightly higher price.
- morgante 11y agoYes, I'm familiar with Kira (they're in a similar space to us). The technology isn't really doing summarization yet though, it's more like extraction/TOC building. I'm definitely biased, but I do think that's the direction that legal technology is going. Right now it's about making it easier and faster for lawyers to review documents: eventually it will be about them not even having to review documents at all.
- semi-extrinsic 11y agoI'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.
- smsm42 11y agoI wonder if these systems would be imperfect (and they'd probably be - I have yet to see a perfect software) how soon people start exploiting them by putting language in the contract that autoscanner would miss but that would give the originator who knows where the language is some advantage.