Remove Books Remove Legal advice Remove Machine learning
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ChatGPT and the legal industry… according to ChatGPT

CEE Legal Tech

Essentially, I have been trained on a large dataset of text, and when I am given a new question or prompt, I use the patterns and relationships I learned during training to generate a response. ChatGPT: I am trained on a diverse range of internet text, including articles, books, websites, and more.

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Guest Post: The Caselaw Access Project — Then, Now, Tomorrow

LawSites

The effect has been to stifle innovation and competition in the field of legal information and, I would argue, to impede justice and the rule of law. million pages from 39,796 books and converted it all into machine-readable text files. Case law books waiting to be scanned. We didn’t have all the books we needed.

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Berkeley Technology Law Journal Podcast: The Capabilities and Limitations of ChatGPT with Professor Chris Hoofnagle

Berkley Technology Law Journal

In today’s episode, we’ll be diving into the fascinating world of one of the most advanced machine learning tools out there: ChatGPT. Professor Hoofnagle] 03:03 ChatGPT is the newest iteration of a machine learning technology that can generate text. Or it could be books. And how often does this happen?

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The Legal Singularity and the Future of Legal Research – Benjamin Alarie and Abdi Aidid (TGIR Ep. 193)

3 Geeks and a Law Blog

Benjamin Alarie and Abdi Aidid are legal experts who are heavily involved in the development of legal technology. They are releasing a new book, The Legal Singularity: How Artificial Intelligence Can Make Law Radically Better later this year. Marlene Gebauer 1:03 So before we dive into the book, Abdi.

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Is mobile the future of legaltech?

lawtomated

Comparing this to the legal industry, where app technology is still not adopted by everyone, suggests that legal should be doing more with apps. What areas could be lower adaptors to legal apps? It is now imperative that businesses across all sectors must be tailored to the consumer and have a customer centric approach.

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NLP Text Summarisation in the Legal Sector

Legal Tech Innovation Wales

Even though machine learning is making strides in understanding natural language, it is far from interpreting the law accurately. Legal texts are highly complex and technical and most of the time a lawyer requires a summary of case law to understand its applicability to a particular client’s situation.

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GPT-3 in Legal: Disrupting Daily Operations

AXDRAFT

Data insights: Another benefit of training ChatGPT on a large dataset of legal documents is that it can identify the sentiment in the document. Legal advice : You can ask ChatGPT a question, and it can answer you with efficient legal advice. It may also reduce the cost of legal services.