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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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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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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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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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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.

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Richard Susskind + Mark Cohen on Digital Transformation + Legal Tech

Ron Friedmann

We did not anticipate the coming of the web or machine learning. That has moved from programmed systems to ones that learn from massive data volumes and huge computing power. Mark: In law firms, what’s most valued is a book of a business. Built an advisory system in the 1980s – a huge decision tree.

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Handout from “Ethical Implications of Generative AI for the Michigan Lawyer” Presentation

Dennis Kennedy

Generative AI refers to a subset of AI systems designed to generate content, whether it be text, images, or even legal documents. It is based on advanced machine learning models that learn patterns from vast amounts of data and can produce novel outputs based on that learning. Potentially.

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