Artificial intelligence in law is heading towards increased automation, efficiency, and accuracy. AI is being applied in various areas, including due diligence, prediction technology, legal analytics, document automation, intellectual property, and electronic billing.
In due diligence, AI tools like Kira Systems, LEVERTON, and eBrevia are being used to extract relevant data, manage documents, and compile leases in real estate transactions. These tools can analyze contracts, identify patterns, and provide insights, reducing the time and cost associated with manual review.
AI-powered prediction technology is also being used to forecast litigation outcomes. For instance, a study by professors from Washington University tested an algorithm's accuracy in forecasting Supreme Court decisions and found it to be more accurate than human experts.
Additionally, AI is being used in legal analytics to provide insights into case law, win/loss rates, and judge ruling history. Companies like Casetext and Judicata are using AI to analyze legal briefs, evaluate their pros and cons, and assign scores based on arguments, drafting, and context.
While AI in law has the potential to increase efficiency and accuracy, there are also concerns about bias and ethics. A study by Susan Nevelow Mart found that online legal case databases may return different search results due to biases in their algorithms.
Overall, AI in law is heading towards increased adoption and innovation, with potential applications in various areas of legal practice. However, it's essential to address concerns about bias and ethics to ensure that AI is used responsibly and effectively.
