Briefly

US LexisNexis CEO Warns Against AI Hallucinations in Court

Case LawUnited States·ABA Journal — Business of Law·Briefly Analysis

Summary

  • LexisNexis' generative AI products drove significant growth for the company in the first half of this year.
  • There are over 1,800 documented instances of attorneys bringing materials into court that cite cases that don't exist.
  • LexisNexis is emphasizing the importance of grounding AI-generated content in trusted, verified sources.
  • The company is giving customers access to its authoritative legal material, including Shepards trust signal.

LexisNexis CEO Warns Against AI Hallucinations in Court

The models are only as good as the content they're built on, and we have a significant trust issue in legal. We now have about 1,800 documented instances of attorneys bringing materials into court that cite cases that don't exist.

The use of artificial intelligence (AI) in the legal profession is on the rise, with LexisNexis' generative AI products driving significant growth for the company. According to Sean Fitzpatrick, CEO of LexisNexis' legal business, 90% of new business in the first half of this year came from these products. However, Fitzpatrick also highlighted a major concern: the potential for AI-generated content to be used as evidence in court, despite being entirely fabricated.

Fitzpatrick pointed out that there are now over 1,800 documented instances of attorneys bringing materials into court that cite cases that don't exist. These 'hallucinations' from AI can have serious consequences, and it's not just a problem for large firms - anyone can be affected. To combat this issue, LexisNexis is emphasizing the importance of grounding AI-generated content in trusted, verified sources.

The company is also giving customers access to its authoritative legal material, including Shepards trust signal, which allows users to verify the accuracy of cases and points of law.

Relevant Legal/Regulatory Context

The use of AI in the legal profession raises significant questions about the potential for bias and error. With the increasing reliance on AI-generated content, there is a growing need for trusted sources to verify the accuracy of information. LexisNexis' emphasis on proprietary content and verification layers is a key aspect of addressing this issue.

The company's decision to stick with its subscription model rather than moving to a token-based pricing model also reflects a commitment to providing customers with price certainty. This approach allows customers to budget for their solutions over the course of a contract period, rather than facing unpredictable costs.

LexisNexis' multimodel approach and proprietary content set are key factors in its ability to provide accurate answers to complex questions. By combining these elements, the company is able to offer a unique value proposition that sets it apart from other AI providers.

Why It Matters

The use of AI in the legal profession has significant implications for lawyers and their clients. With the potential for AI-generated content to be used as evidence in court, there is a growing need for caution and verification. LexisNexis' emphasis on trusted sources and verification layers is a key aspect of addressing this issue.

The company's commitment to providing customers with price certainty through its subscription model also reflects a broader trend in the industry. As AI pricing models continue to evolve, companies like LexisNexis are prioritizing transparency and predictability for their customers.

Ultimately, the use of AI in the legal profession requires a nuanced understanding of the potential risks and benefits. By emphasizing trusted sources and verification layers, companies like LexisNexis can help ensure that AI-generated content is used responsibly and effectively.

Practical Implications

Lawyers should be cautious of relying on AI-generated content and ensure that their clients' materials are grounded in trusted, verified sources to avoid potential courtroom issues.

Source

Source: Original reporting via The value of proprietary content in an AI era

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