“It's striking, concerning, disappointing, and saddening to think that members of the bar would forward cases to a court that don't exist, and to think that the lawyers on the other side of that didn’t read it for whatever reason, didn’t check it.”
Mississippi Courts Won’t Say How They Provide Lawyers for Poor Clients
Six years ago, the Mississippi Supreme Court told judges around the state to file plans showing how they meet their obligations to poor defendants. So far, only one has.
Many Mississippi Courts Unprepared to Give All Poor Defendants Lawyers
A rule requiring poor criminal defendants to have a lawyer throughout the criminal process took effect Saturday.
Judge Learns Lawyers on Both Sides of Case Used AI, Cancels Trial, Kicks Everyone Off the Case
When two AIs argue against each other, the legal system loses.
Why Mississippi Courts Must Produce Public Defense Plans
The state Supreme Court wants to know how local courts provide lawyers, if any, to poor people after their arrest.
Mississippi Makes Move Toward State-Funded Public Defenders
Indigent felony defendants in many counties have lacked court-appointed lawyers before indictment, even while they sat in jails for weeks or months.
Analysis: What Anthropic’s Deal with Music Publishers Does and Doesn’t Do
The January 2 court filing leaves two major questions unsettled, writes Transparency Coalition.ai's Bruce Barcott.
AI fabrications in legal filings grow in Oregon, US
The general counsel for the Oregon State Bar said fabricated cases and citations have become more common among lawyers and people representing themselves.
New evidence, new challenges: ICC judges’ perspectives on user-generated evidence and judging in an age of artificial intelligence
Evidence recorded on personal digital devices, or “user-generated evidence” (UGE), has profoundly shaped our ways of knowing about international crimes. UGE can be expected to play an important role in future cases before the International Criminal Court (ICC), yet few trials to date have relied extensively on UGE.. This research provides important insights into how ICC judges define UGE and perceive its strengths and weaknesses, and on the readiness of the Court to adapt to judging in an age of Artificial Intelligence. Using grounded theory to analyse interviews with ICC judges, we identified several key themes, including concerns about the perceived importance and potential bias of evidence sources; the practical challenges of employing UGE; the burden placed on the parties to ensure the reliability of the evidence, to rigorously challenge the opposing party’s evidence, and the importance of preparing legal professionals to address the risks associated with misinformation and disinformation.
This Mississippi Court Appoints Lawyers for Just 1 in 5 Defendants Before Indictment
Mississippi is known as one of the worst states for public defense. In one lower court, most defendants went without any lawyer before indictment.
Lawyer Caught Using AI While Explaining to Court Why He Used AI
The attorney not only submitted AI-generated fake citations in a brief for his clients, but also included “multiple new AI-hallucinated citations and quotations” in the process of opposing a motion for sanctions.
Supreme Court - Recently Posted Judgments
This webpage lists judgments recently released by the Supreme Court and provides links to copies of those judgments.
Ken Paxton wanted to limit forum shopping. Now lawyers say he’s improperly seeking favorable courts.
ProPublica and The Texas Tribune have identified at least 30 lawsuits filed by the attorney general over the past nine years that have a tenuous connection to the counties in which they were filed.
AI Hallucination Cases Database – Damien Charlotin
The most comprehensive database of AI hallucination cases in law: legal decisions from courts worldwide, searchable by country, party, AI tool, and outcome. Updated daily.
Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools
Legal practice has witnessed a sharp rise in products incorporating artificial intelligence (AI). Such tools are designed to assist with a wide range of core legal tasks, from search and summarization of caselaw to document drafting. But the large language models used in these tools are prone to "hallucinate," or make up false information, making their use risky in high-stakes domains. Recently, certain legal research providers have touted methods such as retrieval-augmented generation (RAG) as "eliminating" (Casetext, 2023) or "avoid[ing]" hallucinations (Thomson Reuters, 2023), or guaranteeing "hallucination-free" legal citations (LexisNexis, 2023). Because of the closed nature of these systems, systematically assessing these claims is challenging. In this article, we design and report on the first preregistered empirical evaluation of AI-driven legal research tools. We demonstrate that the providers' claims are overstated. While hallucinations are reduced relative to general-purpose chatbots (GPT-4), we find that the AI research tools made by LexisNexis (Lexis+ AI) and Thomson Reuters (Westlaw AI-Assisted Research and Ask Practical Law AI) each hallucinate between 17% and 33% of the time. We also document substantial differences between systems in responsiveness and accuracy. Our article makes four key contributions. It is the first to assess and report the performance of RAG-based proprietary legal AI tools. Second, it introduces a comprehensive, preregistered dataset for identifying and understanding vulnerabilities in these systems. Third, it proposes a clear typology for differentiating between hallucinations and accurate legal responses. Last, it provides evidence to inform the responsibilities of legal professionals in supervising and verifying AI outputs, which remains a central open question for the responsible integration of AI into law.
An 《Innocent Witness》 Review
A story of an autistic girl who witnessed a crime and fights to be a witness despite people dismissing her credibility.
