Tracking Generative AI: How Evolving AI Models Are Impacting Legal | Legaltech News (2024)

Tracking Generative AI: How Evolving AI Models Are Impacting Legal | Legaltech News (1)In late 2022, commercially available generative artificial intelligence tools saw an exponential increase in sophistication and ability, taking the legal world by storm. As the underlying models continue to involve and improve, these tools will become more powerful—increasing both their applicability to legal work and their implications for existing law in the process.

Below is a digest of coverage of generative AI from Legaltech News and across ALM.

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Tracking Generative AI: How Evolving AI Models Are Impacting Legal | Legaltech News (2024)

FAQs

Tracking Generative AI: How Evolving AI Models Are Impacting Legal | Legaltech News? ›

A running compilation of how the legal landscape continues to be shaped by generative AI tools, from GPT technologies to art generation tools and beyond.

How are evolving AI models impacting legal? ›

AI is disrupting the litigation world. But while AI for legal professionals can't replace the need for attorneys to exercise their judgment and utilize their experience, it can support data-driven decision making and make legal research and writing tasks more efficient.

How does generative AI affect law firms? ›

Among midsize law firms, the same technology could be used to capture bigger-ticket work. By using AI to automate repeatable, labor-intensive tasks, midsize law firms should be able to take on more clients, including more complex clients, or perhaps cover more practice areas through an expanded scope.

What are the legal concerns of generative AI? ›

When litigators use generative AI to help answer a specific legal question or draft a document specific to a matter by typing in case-specific facts or information, they may share confidential information with third parties, such as the platform's developers or other users of the platform, without even knowing it.

How will AI affect the legal system? ›

Generative AI has the ability to accelerate the completion of legal tasks, and lawyers are using it to research matters, draft documents, and generate transcripts.

What are the legal challenges of artificial intelligence? ›

Issues such as data privacy, intellectual property rights, and liability for AI-generated errors pose significant legal challenges. Additionally, the intersection of AI and traditional legal concepts, such as liability and accountability, gives rise to novel legal questions.

What is the future of AI in legal practice? ›

Conclusion: The future of AI in legal practice is not about replacing lawyers, but about empowering them. By embracing AI as a valuable tool, lawyers can streamline their workflows, and improve efficiency.

What is the legal risk associated with gen AI models? ›

Legal Implications

Generative AI presents various legal challenges related to intellectual property rights, liability issues, and regulatory compliance. Determining ownership and protection of intellectual property rights related to AI-generated content can be complex and contentious.

What is the controversy with generative AI? ›

The key reason there is acrimonious debate is that some assert that generative AI has the potential to materially undercut mental health, while others proclaim that generative AI is a huge boon to demonstrably improving mental health.

What is the downside of generative AI? ›

One of the foremost challenges related to generative AI is the handling of sensitive data. As generative models rely on data to generate new content, there is a risk of this data including sensitive or proprietary information.

Will ChatGPT replace lawyers? ›

While AI tools like ChatGPT have the potential to change the way lawyers work, that doesn't mean that it will replace them. Lawyers may harness AI as a tool to help them work faster and more effectively—but they'll still ultimately be responsible for completing legal work and practicing law.

What are the negatives of AI in law? ›

There may be ethical concerns surrounding the use of AI in the legal industry, including data protection, privacy, transparency, and bias. Addressing these concerns is vital to protect client information, ensure fairness, and mitigate potential bias in AI algorithms.

How will AI affect law enforcement? ›

Digital Analysis. Law enforcement, specifically, utilizes AI through video and image analysis. Current technology allows police to go beyond simply identifying people and objects. It allows them to detect complex accident and crime scenes—both while in progress and after the fact.

What are the legal issues with AI-generated images? ›

Thus, no lawsuits can be filed. But the US Copyright Office made another important ruling: In February, it determined a graphic novel that combined human-written text with AI-generated images “constituted a copyrightable work,” even though the individual images themselves couldn't receive the same protection.

Are AI models protected by copyright? ›

Why can't AI content be copyrighted? For a product to be copyrighted, a human creator is needed. AI-generated content can't be copyrighted because it isn't considered to be the work of a human creator.

What are the disadvantages of AI in law? ›

A serious limitation of AI is that it cannot adequately grasp complex legal concepts and proper context. This limitation could result in the misinterpretation of the law and other inaccuracies. Attorneys mustn't rely on this technology without detailed human oversight.

What is the impact of AI regulation on intention to use robots from citizens and government perspective? ›

The study reveals that the use of robots by the citizens would appreciably increase if government imposes strict artificial intelligence (AI) regulatory control concerning the use of robots, and in that case, it appears that the use of robots would improve the quality of life of the citizens.

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