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

FAQs

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.

As AI grows more sophisticated, it will accelerate and compress the completion of tasks, including legal tasks. For lawyers, this will result in radical changes to our productivity and how we do work, which directly impacts how legal matters are staffed and how clients are billed.

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.

The legal industry is poised for a significant transformation in its pricing model, driven by the efficiency gains brought about by generative AI (Gen AI) technology. The introduction of this technology will lead to reduced process times and shorter turnaround times for legal services.

By automating routine tasks such as document review and drafting, and discovery, AI allows lawyers to focus their expertise on higher-level strategic analysis and client advocacy, ultimately delivering enhanced value to their clients.

AI-powered e-Discovery software can streamline the process and help legal professionals more efficiently identify relevant ESI using capabilities such as advanced algorithms, machine learning applications, process automation, and text analytics.

Due to a lack of transparency in data handling among the developers of generative AI models, there may be copyrighted materials incorporated into training data without the knowledge of the authors. In this way, it could violate the rights of the creators and foster an atmosphere of distrust around genAI.

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.

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.

Synthesia

Synthesia is a top generative AI tool for making videos with artificial intelligence. It lets users make their own scripted, prompt-based videos. The system then uses its collection of AI characters, voices, and video designs to produce a video that looks and sounds real.

How is generative AI different from AI? ›

Generative AI sets itself apart from other forms of machine learning and artificial intelligence in its generative nature. Rather than merely analyzing data, generative AI produces new data in all forms of media – text, code, images, audio, video and more.

While Generative AI focuses on creativity and content generation, Transformative AI aims to transform industries and society at large. Understanding the differences and synergies between these approaches is crucial for organizations and professionals looking to harness the power of AI effectively.

Lawyers and law firms often worry that AI will replace them, but this is not true to the fact. Instead, AI will help both lawyers and law firms to be more productive and efficient. For example, AI can be used to automate tasks such as legal research , document review, and contract drafting.

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.

In conclusion, the rise of AI presents both opportunities and challenges for the legal profession in Pakistan. By embracing AI technologies and leveraging their capabilities, legal professionals can enhance their efficiency, accuracy, and effectiveness in serving their clients.

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.