The Top 10 Questions Lawyers Ask About AI: Answered

Requires ample relevant data and questions that are detailed and specific, Mr. Borden said. More open-ended questions, like what’s the most important evidence, or who are the most credible witnesses, are still a struggle for the A.I. The rapid progress in large language models — the technology engine for ChatGPT — is a significant advance, Mr. Allgrove said. “At its best, the technology seems like a very smart paralegal, and it will improve,” he said.

These regulations may require that individuals are informed about how their data is being used and have given their consent for its use. The use of AI-powered tools can be complex and difficult to understand, which can make it challenging to determine how they are making decisions. This lack of transparency can raise concerns about accountability and due process. The use of AI-powered tools to predict case outcomes may lead to inaccurate predictions. This can have serious implications for clients, who may make decisions based on these predictions. AI is also being used in e-discovery to help sift through large volumes of electronic data and identify relevant documents and information.

The AI of today won’t be the AI of tomorrow and firms should plan accordingly

NLP algorithms examine speech and text input, extracting meaning and context—two factors that are crucial for effective human-computer interaction. Artificial intelligence (AI) is the simulation of human intelligence in devices that are designed to think like humans and to imitate human cognitive abilities. Any machine which demonstrates characteristics of a human mind, such as learning and problem-solving, may also be referred to as artificial intelligence. She also emphasises the element of thoughtful design in how positioned to genuinely augment human skills.

The software is a Microsoft Word add-in, meaning lawyers can use Latch directly from within Microsoft Word. And it integrates with various cloud storage services, making it easy for law firms to centralize their data and collaborate with each other on cases. AI contract software learns from the previous contracts and pre-entered data sets.

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AI has impacted many industries and areas, including the financial and banking sectors, smart cities, mobility and transportation, healthcare, education and many more. Stay tuned for a series of articles delving into the specifics of the topics addressed here, and updates on AI in the legal industry. Therefore, to limit potential violations of the ADA, employers must ensure that the AI decision-making tools used to select job applicants do not result in intentional or unintentional employment discrimination.

Therefore, human oversight allows human experts to review and verify the decisions made by AI systems by ensuring that they are fair, accurate, and ethical. Consequently, it will be easier to identify and address any errors or biases that may arise thereto if human professionals can be allowed to monitor and review the decisions made by AI systems. Lawyers are already using AI to do things like reviewing documents during litigation and due diligence, analyzing contracts to determine whether they meet pre-determined criteria, performing legal research, and predicting case outcomes. AI can help consumers by providing a form of “legal service” to clients who might otherwise not be able to afford a lawyer. The free service DoNotPay, created by a 19-year-old, is an AI-powered chatbot that lets users contest parking tickets in London and New York. In its first 21 months, it took on 250,000 cases and won 160,000 of them, saving users more than $4 million worth of fines.

Using NLP, computers are able to analyze large volumes of text data—consistently and without fatigue or bias—to identify patterns and relationships and then determine which parts of human language are important. Where it becomes more problematic is when AI is used to replace human judgment, especially in the criminal law context. For one, there may exist bias in the training data which will be amplified and further institutionalized by the resulting ML models. We may be able to overcome this problem; indeed, the process of driving bias out of our training data may cause us to realize and correct some of the inherent racism and sexism of our legal system. AI helps legal firms to make better decisions and deliver higher quality output, from determining an approach for a major case to deciding the best way to structure an important clause in a contract, and much more.

Read more about How AI Is Improving the Legal Profession here.