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The firm said that the AI models are starting to perform at a level where they should be able to assist in legalresearch, such as providing a first draft or “as a cross-check on an existing answer,” and could also be useful “for tasks that involve summarising relatively well-known areas of law.
The problem is, those brand new positions may be sporting brand new titles and you haven’t a clue what to look for anymore. Who the heck trains in research outside of law school? Clearly, this was a job for an instructional trainer with a specialization in legalresearch. By Chere B. That must be it. Holy, moly!
As I said at the outset, I didn’t take the traditional route of university, to LPC paid for by a law firm, to a training contract. As of now, these projects include: developing an ESG product offering; work on Smart Contracts and building out a partnership with a LegalTech vendor. 1:00pm – I grab some lunch.
Elevator pitch: For enterprise business teams, Advocat AI speeds up contract intake, generation and negotiation. We apply Natural Language Processing and a semantic knowledge graph to the process that attorneys use to research, analyze and write complex legal documents. Legal Intelligence for corporate legal teams.
Elevator pitch: For enterprise business teams, Advocat AI speeds up contract intake, generation and negotiation. We apply Natural Language Processing and a semantic knowledge graph to the process that attorneys use to research, analyze and write complex legal documents. Legal Intelligence for corporate legal teams.
And thats what makes DOGE the biggest legal technology story going right now. The infrastructure of legalresearch, access to case law, and the basic mechanics of litigation are increasingly wrapped up in digital tools. Next it’ll be the eDiscovery platform or the contract review system.
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