Category: Uncategorized

  • No.37 Artificial Intelligence in Legal Practice

    The guidance statement offers Queensland legal practitioners a comprehensive framework for the conscientious and ethical utilisation of artificial intelligence (AI) in their legal practice. This framework will assist practitioners in understanding how to integrate AI into their work responsibly and ethically. Source: Queensland Law Society

  • Arizona state lawmaker used ChatGPT to write part of law on deepfakes

    An Arizona legislator, Alexander Kolodin, used an AI chatbot, ChatGPT, to draft a portion of a new law governing deepfakes in elections. The law permits candidates in Arizona to request a judge to determine the authenticity of a purported deepfake. Kolodin emphasised the importance of seeking advice from a subject matter expert to define what […]

  • Scarlett Johansson hired lawyers to push back on ‘eerily similar’ OpenAI voice

    Actress Scarlett Johansson was frustrated after finding that an AI voice used for OpenAI’s chatbot sounded too much like her, which led her to seek legal help for its removal. OpenAI had initially asked her to provide a voice for their chatbot but ended up releasing a voice named Sky that closely resembled hers. OpenAI […]

  • legal ai autonomous agents | frameworks for compound legal ai systems

    Using AI agents within legal practices underscores their ability to streamline tasks like document examination, legal research, and client engagement. It delineates the fundamental elements of AI agent systems, encompassing Memory, Tools, Planning, and Action. It presents tools customised for law firms, like Document Reviewers, Legal Researchers, and Client Managers stressing the significance of strategic […]

  • The Race To Keep Law Firms From Completely Screwing Up Generative AI With Disastrous Results

    ILTACON is a legal technology conference where providers showcase their latest updates and the industry consolidates, but attendees often miss educational sessions due to various distractions. ILTA Evolve is a new addition to the conference calendar that focuses on two hot topics per year and no more than two sessions scheduled at once, enabling attendees […]

  • AI in the realm of courts: unacceptable or imaginable?

    The potential impact of AI on the legal profession, particularly in the areas of eDiscovery, legal research, and drafting legal documents has led to the belief that machines will replace judges and juries; it is unlikely in the near future, and AI will instead be used to save vast amounts of human hours in the […]

  • John Craske on CMS’s Agile GenAI Strategy After the Harvey Deal

    CMS has implemented a new AI system called Harvey, designed explicitly for legal purposes, to be used on paid client matters. John Craske, the Director of Innovation at CMS, discussed their broader AI strategy. In November 2023, a pilot program involving 100 UK-based individuals began using Harvey for tasks like reviewing documents, drafting clauses, and […]

  • Maybe We’ve Got The Artificial Intelligence In Law ‘Problem’ All Wrong

    When Lawyers use AI in legal briefs their responsibility is to verify their citations regardless. The debate about AI in legal practice should focus more on the tool’s flaws and inaccuracies than its ability to mimic human intuition and judgment. AI should be viewed as a powerful and dependable machine rather than a flawed and […]

  • Data Authenticity, Consent, and Provenance for AI Are All Broken: What Will It Take to Fix Them?

    The availability of massive and diverse training data collections has allowed for new advancements in AI. However, this has led to issues surrounding transparency, authenticity, consent, privacy, representation, bias, copyright infringement, and ethical and trustworthy AI systems. The regulation of AI is stressing the importance of transparency in training data to gain a better understanding […]

  • Prompt engineering is not dead

    IEEE Spectrum published that, ‘prompt engineering is dead’. Why? Because ‘new research suggests that prompt engineering is best done by the model itself, and not by a human engineer’. However, the research only tested the techniques on a single dataset of school-grade math problems, and it is unclear what they mean by “handtuned ‘positive thinking’ […]