Mathew Carr

Amal Clooney: AI might help close the ‘justice gap’; DLA Piper: Or it might create an ‘unacceptable’ two-tier legal system

Otter AI assisted

Amal Clooney and others including Claire Donse from DLA Piper discuss how responsible AI might help give more people wider access to legal advice

Otter AI summaries, Hosted by Harvey AI, webinary was yesterday Nov. 10 and I had tech problems since, problems with Otter AI, which helped be transcribe the event.

A key bit

Donse: “As the world seeks to close the justice gap with AI, there is a “potential creation of a two-tier justice system: so human judgment, human lawyers for those that can afford it, and an algorithm for those that can’t. And I think we need to be very conscious of that. We’re not. I think there is a danger in not using AI to improve access to justice, but it’s allowing the scale of unmet need to be something is better than nothing, and that can’t be an acceptable standard.”

Using AI to Bridge the Justice Gap

Transcript

https://otter.ai/u/fdJzRQz_ZDR97ZFqXghju6qd0zo?view=summary

Overview

AI may help expand access to legal support, especially for underserved communities, while preserving lawyers’ roles in judgment, advocacy, and human connection.

The justice gap

  • Amal described limited access to lawyers: the World Justice Project estimate is about 8% of people able to reach a lawyer when needed. In Malawi, a country of 22 million, fewer than 1,000 lawyers serve the population; 40% of women experience violence, and nearly half were married as children.
  • Claire identified affordability, geography, and language as overlapping barriers. Lawyers are often concentrated in cities, while rural communities and speakers of underserved languages struggle to access legal help.

AI applications

  • Amal described the Oxford Institute of Technology and Justice’s Vara tools, developed with local partners. In Malawi, tools supporting responders to violence against women and children had 6,000 testing sessions and 99.86% positive feedback. A journalists’ tool provides rights information and matches users with vetted, available pro bono lawyers.
  • Potential uses include intake and triage, document extraction, chronologies, standard forms, translation, and simplified legal information. Vara is also being developed to accelerate bail applications and protection-order applications; in Malawi, the latter could take two weeks and multiple client meetings.
  • Claire emphasized that AI should support, not replace, lawyers. Reducing repetitive work could free time for listening, relationship-building, complex cases, and addressing underlying causes of legal need.

Responsible deployment

  • Risks include widening the digital divide, weak support for local languages, hallucinations, and safety concerns. Amal cited AI diffusion of 27% in the Global North versus 15% in the Global South, and described efforts such as voice tools, offline or low-connectivity access, internet-in-a-box hubs, and a Chichewa-native language model supported by Microsoft AI for Good Lab.
  • Tools are being built one jurisdiction at a time, with local legal expertise and partners due to the need for safety and jurisdiction-specific reliability. Claire’s response on additional risks was not included in the transcript.
  • Part two

  • Overview

  • AI can expand access to justice only if it is developed and deployed with safeguards, human expertise, and the needs of underserved communities at its center.

  • Risks and safeguards

    • Claire highlighted risks of inaccurate legal guidance, missed deadlines, bias, limited representation of low-resource languages and marginalized communities, and failure to recognize complex or trauma-related needs. She cautioned against creating a two-tier system in which people who cannot afford lawyers receive lower-quality algorithmic help.
    • Amal described a community-centered approach: co-create tools with intended users, test for fairness and equity, and use verified legal materials rather than open-internet searches. The Clooney Foundation for Justice uses encryption, privacy guidance, clear chatbot disclosures, routes to legal help, rigorous testing, and Microsoft responsible AI reviews.

  • Priorities for deployment

    • Claire urged technology companies to prioritize access, not only efficiency, and invest in legal aid providers, NGOs, and underserved communities. Tools should provide reliable jurisdiction-specific information, protect confidentiality, explain limitations, and connect users to human support.
    • For small organizations, Claire recommended starting with a repetitive, low-risk task, testing tools on a small number of matters with human review, and learning from partner organizations. Amal emphasized basic staff training and technical foundations such as connectivity and case management systems. The Justice Innovators Program at Oxford offers mentoring and technical assistance, with Azure and Claude credits for 10 selected innovators.

  • Longer-term impact

    • Participants envisioned AI helping lawyers serve more people while preserving human judgment, empathy, and client relationships. Amal emphasized scaling justice tools through legal aid and, where appropriate, public-sector partnerships, while also addressing AI harms and regulation, including deepfake evidence and cyberattacks.
    • Amal and Claire said AI can free junior lawyers from routine work and create earlier opportunities for client interaction, strategy, pro bono work, and supervised development of legal judgment.

      AI/wordpress went a bit haywire — see below– as if to highlight how we should be skeptical of AI/digital platforms—will try to see what went wrong: I will leave the below as it is ….to help highlight the risks:

       

      Overview

      AI can expand access to justice only if it is developed and deployed with safeguards, human expertise, and the needs of underserved communities at its center.

      Risks and safeguards

        • Claire highlighted risks of inaccurate legal guidance, missed deadlines, bias, limited representation of low-resource languages and marginalized communities, and failure to recognize complex or trauma-related needs. She cautioned against creating a two-tier system in which people who cannot afford lawyers receive lower-quality algorithmic help.
        • Amal described a community-centered approach: co-create tools with intended users, test for fairness and equity, and use verified legal materials rather than open-internet searches. The Clooney Foundation for Justice uses encryption, privacy guidance, clear chatbot disclosures, routes to legal help, rigorous testing, and Microsoft responsible AI reviews.

      Priorities for deployment

        • Claire urged technology companies to prioritize access, not only efficiency, and invest in legal aid providers, NGOs, and underserved communities. Tools should provide reliable jurisdiction-specific information, protect confidentiality, explain limitations, and connect users to human support.
        • For small organizations, Claire recommended starting with a repetitive, low-risk task, testing tools on a small number of matters with human review, and learning from partner organizations. Amal emphasized basic staff training and technical foundations such as connectivity and case management systems. The Justice Innovators Program at Oxford offers mentoring and technical assistance, with Azure and Claude credits for 10 selected innovators.

      Longer-term impact

        • Participants envisioned AI helping lawyers serve more people while preserving human judgment, empathy, and client relationships. Amal emphasized scaling justice tools through legal aid and, where appropriate, public-sector partnerships, while also addressing AI harms and regulation, including deepfake evidence and cyberattacks.
        • Amal and Claire said AI can free junior lawyers from routine work and create earlier opportunities for client interaction, strategy, pro bono work, and supervised development of legal judgment.

      Action Items

      Return in six months and report on what Harvey has done to support the Clooney Foundation for Justice

  • Overview

  • AI can expand access to justice only if it is developed and deployed with safeguards, human expertise, and the needs of underserved communities at its center.

  • Risks and safeguards

    • Claire highlighted risks of inaccurate legal guidance, missed deadlines, bias, limited representation of low-resource languages and marginalized communities, and failure to recognize complex or trauma-related needs. She cautioned against creating a two-tier system in which people who cannot afford lawyers receive lower-quality algorithmic help.
    • Amal described a community-centered approach: co-create tools with intended users, test for fairness and equity, and use verified legal materials rather than open-internet searches. The Clooney Foundation for Justice uses encryption, privacy guidance, clear chatbot disclosures, routes to legal help, rigorous testing, and Microsoft responsible AI reviews.

  • Priorities for deployment

    • Claire urged technology companies to prioritize access, not only efficiency, and invest in legal aid providers, NGOs, and underserved communities. Tools should provide reliable jurisdiction-specific information, protect confidentiality, explain limitations, and connect users to human support.
    • For small organizations, Claire recommended starting with a repetitive, low-risk task, testing tools on a small number of matters with human review, and learning from partner organizations. Amal emphasized basic staff training and technical foundations such as connectivity and case management systems. The Justice Innovators Program at Oxford offers mentoring and technical assistance, with Azure and Claude credits for 10 selected innovators.

  • Longer-term impact

    • Participants envisioned AI helping lawyers serve more people while preserving human judgment, empathy, and client relationships. Amal emphasized scaling justice tools through legal aid and, where appropriate, public-sector partnerships, while also addressing AI harms and regulation, including deepfake evidence and cyberattacks.
    • Amal and Claire said AI can free junior lawyers from routine work and create earlier opportunities for client interaction, strategy, pro bono work, and supervised development of legal judgment.

  • Action Items

  • li>ol]:list-[lower-alpha] [&_ol>li>ol>li>ol]:list-[lower-roman] [&_ol>li>ol>li>ol>li>ol]:list-[list-decimal] [&_[data-user]]:text-primary [&_:is(pre)]:overflow-auto [&_:is(table)]:w-full [&_:is(table,th,td)]:border [&_:is(table,th,td)]:border-collapse [&_:is(table,th,td)]:border-gray-300 [&_:is(table,th,td)]:p-2 [&_:is(strong,h1,h2,h3,h4,h5,h6)]:font-semibold [&_:is(h1)]:text-2xl [&_:is(h2)]:text-lg [&_:is(h3)]:text-md [&_h1:not(:first-child)]:mt-8 [&_h1:not(:last-child)]:mb-6 [&_h2:not(:first-child)]:mt-6 [&_h2:not(:last-child)]:mb-4 [&_h3:not(:first-child)]:mt-4 [&_pre]:bg-palette-gray-200 [&_pre>code]:bg-transparent [&_pre>code]:px-0 [&_pre>code]:py-0 [&_pre]:px-[6px] [&_pre]:py-[2px] [&_pre]:m-0 [&_pre]:rounded-[4px] [&_code]:bg-palette-gray-200 [&_code]:px-[6px] [&_code]:py-[2px] [&_code]:m-0 [&_code]:rounded-[4px] [&_blockquote]:m-0 [&_blockquote]:px-[16px] [&_blockquote]:py-0 [&_blockquote]:text-subtle [&_blockquote]:border-l-[4px] [&_blockquote]:border-palette-gray-200 overflow-x-auto [&_ol]:pl-5 [&_li]:my-2 [&_:is(p,ul,ol):not(:first-child)]:mt-3 [&_:is(p,ul,ol):not(:last-child)]:mb-3″ data-testid=”render-markdown”>

  • Overview

  • AI can expand access to justice only if it is developed and deployed with safeguards, human expertise, and the needs of underserved communities at its center.

  • Risks and safeguards

      • Claire highlighted risks of inaccurate legal guidance, missed deadlines, bias, limited representation of low-resource languages and marginalized communities, and failure to recognize complex or trauma-related needs. She cautioned against creating a two-tier system in which people who cannot afford lawyers receive lower-quality algorithmic help.
      • Amal described a community-centered approach: co-create tools with intended users, test for fairness and equity, and use verified legal materials rather than open-internet searches. The Clooney Foundation for Justice uses encryption, privacy guidance, clear chatbot disclosures, routes to legal help, rigorous testing, and Microsoft responsible AI reviews.

  • Priorities for deployment

      • Claire urged technology companies to prioritize access, not only efficiency, and invest in legal aid providers, NGOs, and underserved communities. Tools should provide reliable jurisdiction-specific information, protect confidentiality, explain limitations, and connect users to human support.
      • For small organizations, Claire recommended starting with a repetitive, low-risk task, testing tools on a small number of matters with human review, and learning from partner organizations. Amal emphasized basic staff training and technical foundations such as connectivity and case management systems. The Justice Innovators Program at Oxford offers mentoring and technical assistance, with Azure and Claude credits for 10 selected innovators.

  • Longer-term impact

      • Participants envisioned AI helping lawyers serve more people while preserving human judgment, empathy, and client relationships. Amal emphasized scaling justice tools through legal aid and, where appropriate, public-sector partnerships, while also addressing AI harms and regulation, including deepfake evidence and cyberattacks.
      • Amal and Claire said AI can free junior lawyers from routine work and create earlier opportunities for client interaction, strategy, pro bono work, and supervised development of legal judgment.

  • Action Items

  • li>ol]:list-[lower-alpha] [&_ol>li>ol>li>ol]:list-[lower-roman] [&_ol>li>ol>li>ol>li>ol]:list-[list-decimal] [&_[data-user]]:text-primary [&_:is(pre)]:overflow-auto [&_:is(table)]:w-full [&_:is(table,th,td)]:border [&_:is(table,th,td)]:border-collapse [&_:is(table,th,td)]:border-gray-300 [&_:is(table,th,td)]:p-2 [&_:is(strong,h1,h2,h3,h4,h5,h6)]:font-semibold [&_:is(h1)]:text-2xl [&_:is(h2)]:text-lg [&_:is(h3)]:text-md [&_h1:not(:first-child)]:mt-8 [&_h1:not(:last-child)]:mb-6 [&_h2:not(:first-child)]:mt-6 [&_h2:not(:last-child)]:mb-4 [&_h3:not(:first-child)]:mt-4 [&_pre]:bg-palette-gray-200 [&_pre>code]:bg-transparent [&_pre>code]:px-0 [&_pre>code]:py-0 [&_pre]:px-[6px] [&_pre]:py-[2px] [&_pre]:m-0 [&_pre]:rounded-[4px] [&_code]:bg-palette-gray-200 [&_code]:px-[6px] [&_code]:py-[2px] [&_code]:m-0 [&_code]:rounded-[4px] [&_blockquote]:m-0 [&_blockquote]:px-[16px] [&_blockquote]:py-0 [&_blockquote]:text-subtle [&_blockquote]:border-l-[4px] [&_blockquote]:border-palette-gray-200 overflow-x-auto [&_ol]:pl-5 [&_li]:my-2 [&_:is(p,ul,ol):not(:first-child)]:mt-3 [&_:is(p,ul,ol):not(:last-child)]:mb-3″ data-testid=”render-markdown”>

  • Overview

  • AI can expand access to justice only if it is developed and deployed with safeguards, human expertise, and the needs of underserved communities at its center.

  • Risks and safeguards

        • Claire highlighted risks of inaccurate legal guidance, missed deadlines, bias, limited representation of low-resource languages and marginalized communities, and failure to recognize complex or trauma-related needs. She cautioned against creating a two-tier system in which people who cannot afford lawyers receive lower-quality algorithmic help.
        • Amal described a community-centered approach: co-create tools with intended users, test for fairness and equity, and use verified legal materials rather than open-internet searches. The Clooney Foundation for Justice uses encryption, privacy guidance, clear chatbot disclosures, routes to legal help, rigorous testing, and Microsoft responsible AI reviews.

  • Priorities for deployment

        • Claire urged technology companies to prioritize access, not only efficiency, and invest in legal aid providers, NGOs, and underserved communities. Tools should provide reliable jurisdiction-specific information, protect confidentiality, explain limitations, and connect users to human support.
        • For small organizations, Claire recommended starting with a repetitive, low-risk task, testing tools on a small number of matters with human review, and learning from partner organizations. Amal emphasized basic staff training and technical foundations such as connectivity and case management systems. The Justice Innovators Program at Oxford offers mentoring and technical assistance, with Azure and Claude credits for 10 selected innovators.

  • Longer-term impact

        • Participants envisioned AI helping lawyers serve more people while preserving human judgment, empathy, and client relationships. Amal emphasized scaling justice tools through legal aid and, where appropriate, public-sector partnerships, while also addressing AI harms and regulation, including deepfake evidence and cyberattacks.
        • Amal and Claire said AI can free junior lawyers from routine work and create earlier opportunities for client interaction, strategy, pro bono work, and supervised development of legal judgment.

  • Action Items

  • li>ol]:list-[lower-alpha] [&_ol>li>ol>li>ol]:list-[lower-roman] [&_ol>li>ol>li>ol>li>ol]:list-[list-decimal] [&_[data-user]]:text-primary [&_:is(pre)]:overflow-auto [&_:is(table)]:w-full [&_:is(table,th,td)]:border [&_:is(table,th,td)]:border-collapse [&_:is(table,th,td)]:border-gray-300 [&_:is(table,th,td)]:p-2 [&_:is(strong,h1,h2,h3,h4,h5,h6)]:font-semibold [&_:is(h1)]:text-2xl [&_:is(h2)]:text-lg [&_:is(h3)]:text-md [&_h1:not(:first-child)]:mt-8 [&_h1:not(:last-child)]:mb-6 [&_h2:not(:first-child)]:mt-6 [&_h2:not(:last-child)]:mb-4 [&_h3:not(:first-child)]:mt-4 [&_pre]:bg-palette-gray-200 [&_pre>code]:bg-transparent [&_pre>code]:px-0 [&_pre>code]:py-0 [&_pre]:px-[6px] [&_pre]:py-[2px] [&_pre]:m-0 [&_pre]:rounded-[4px] [&_code]:bg-palette-gray-200 [&_code]:px-[6px] [&_code]:py-[2px] [&_code]:m-0 [&_code]:rounded-[4px] [&_blockquote]:m-0 [&_blockquote]:px-[16px] [&_blockquote]:py-0 [&_blockquote]:text-subtle [&_blockquote]:border-l-[4px] [&_blockquote]:border-palette-gray-200 overflow-x-auto [&_ol]:pl-5 [&_li]:my-2 [&_:is(p,ul,ol):not(:first-child)]:mt-3 [&_:is(p,ul,ol):not(:last-child)]:mb-3″ data-testid=”render-markdown”>

  • Overview

  • AI can expand access to justice only if it is developed and deployed with safeguards, human expertise, and the needs of underserved communities at its center.

  • Risks and safeguards

          • Claire highlighted risks of inaccurate legal guidance, missed deadlines, bias, limited representation of low-resource languages and marginalized communities, and failure to recognize complex or trauma-related needs. She cautioned against creating a two-tier system in which people who cannot afford lawyers receive lower-quality algorithmic help.
          • Amal described a community-centered approach: co-create tools with intended users, test for fairness and equity, and use verified legal materials rather than open-internet searches. The Clooney Foundation for Justice uses encryption, privacy guidance, clear chatbot disclosures, routes to legal help, rigorous testing, and Microsoft responsible AI reviews.

  • Priorities for deployment

          • Claire urged technology companies to prioritize access, not only efficiency, and invest in legal aid providers, NGOs, and underserved communities. Tools should provide reliable jurisdiction-specific information, protect confidentiality, explain limitations, and connect users to human support.
          • For small organizations, Claire recommended starting with a repetitive, low-risk task, testing tools on a small number of matters with human review, and learning from partner organizations. Amal emphasized basic staff training and technical foundations such as connectivity and case management systems. The Justice Innovators Program at Oxford offers mentoring and technical assistance, with Azure and Claude credits for 10 selected innovators.

  • Longer-term impact

          • Participants envisioned AI helping lawyers serve more people while preserving human judgment, empathy, and client relationships. Amal emphasized scaling justice tools through legal aid and, where appropriate, public-sector partnerships, while also addressing AI harms and regulation, including deepfake evidence and cyberattacks.
          • Amal and Claire said AI can free junior lawyers from routine work and create earlier opportunities for client interaction, strategy, pro bono work, and supervised development of legal judgment.

  • Action Items

  • li>ol]:list-[lower-alpha] [&_ol>li>ol>li>ol]:list-[lower-roman] [&_ol>li>ol>li>ol>li>ol]:list-[list-decimal] [&_[data-user]]:text-primary [&_:is(pre)]:overflow-auto [&_:is(table)]:w-full [&_:is(table,th,td)]:border [&_:is(table,th,td)]:border-collapse [&_:is(table,th,td)]:border-gray-300 [&_:is(table,th,td)]:p-2 [&_:is(strong,h1,h2,h3,h4,h5,h6)]:font-semibold [&_:is(h1)]:text-2xl [&_:is(h2)]:text-lg [&_:is(h3)]:text-md [&_h1:not(:first-child)]:mt-8 [&_h1:not(:last-child)]:mb-6 [&_h2:not(:first-child)]:mt-6 [&_h2:not(:last-child)]:mb-4 [&_h3:not(:first-child)]:mt-4 [&_pre]:bg-palette-gray-200 [&_pre>code]:bg-transparent [&_pre>code]:px-0 [&_pre>code]:py-0 [&_pre]:px-[6px] [&_pre]:py-[2px] [&_pre]:m-0 [&_pre]:rounded-[4px] [&_code]:bg-palette-gray-200 [&_code]:px-[6px] [&_code]:py-[2px] [&_code]:m-0 [&_code]:rounded-[4px] [&_blockquote]:m-0 [&_blockquote]:px-[16px] [&_blockquote]:py-0 [&_blockquote]:text-subtle [&_blockquote]:border-l-[4px] [&_blockquote]:border-palette-gray-200 overflow-x-auto [&_ol]:pl-5 [&_li]:my-2 [&_:is(p,ul,ol):not(:first-child)]:mt-3 [&_:is(p,ul,ol):not(:last-child)]:mb-3″ data-testid=”render-markdown”>

  • Overview

  • AI can expand access to justice only if it is developed and deployed with safeguards, human expertise, and the needs of underserved communities at its center.

  • Risks and safeguards

            • Claire highlighted risks of inaccurate legal guidance, missed deadlines, bias, limited representation of low-resource languages and marginalized communities, and failure to recognize complex or trauma-related needs. She cautioned against creating a two-tier system in which people who cannot afford lawyers receive lower-quality algorithmic help.
            • Amal described a community-centered approach: co-create tools with intended users, test for fairness and equity, and use verified legal materials rather than open-internet searches. The Clooney Foundation for Justice uses encryption, privacy guidance, clear chatbot disclosures, routes to legal help, rigorous testing, and Microsoft responsible AI reviews.

  • Priorities for deployment

            • Claire urged technology companies to prioritize access, not only efficiency, and invest in legal aid providers, NGOs, and underserved communities. Tools should provide reliable jurisdiction-specific information, protect confidentiality, explain limitations, and connect users to human support.
            • For small organizations, Claire recommended starting with a repetitive, low-risk task, testing tools on a small number of matters with human review, and learning from partner organizations. Amal emphasized basic staff training and technical foundations such as connectivity and case management systems. The Justice Innovators Program at Oxford offers mentoring and technical assistance, with Azure and Claude credits for 10 selected innovators.

  • Longer-term impact

            • Participants envisioned AI helping lawyers serve more people while preserving human judgment, empathy, and client relationships. Amal emphasized scaling justice tools through legal aid and, where appropriate, public-sector partnerships, while also addressing AI harms and regulation, including deepfake evidence and cyberattacks.
            • Amal and Claire said AI can free junior lawyers from routine work and create earlier opportunities for client interaction, strategy, pro bono work, and supervised development of legal judgment.

  • Action Items

  • li>ol]:list-[lower-alpha] [&_ol>li>ol>li>ol]:list-[lower-roman] [&_ol>li>ol>li>ol>li>ol]:list-[list-decimal] [&_[data-user]]:text-primary [&_:is(pre)]:overflow-auto [&_:is(table)]:w-full [&_:is(table,th,td)]:border [&_:is(table,th,td)]:border-collapse [&_:is(table,th,td)]:border-gray-300 [&_:is(table,th,td)]:p-2 [&_:is(strong,h1,h2,h3,h4,h5,h6)]:font-semibold [&_:is(h1)]:text-2xl [&_:is(h2)]:text-lg [&_:is(h3)]:text-md [&_h1:not(:first-child)]:mt-8 [&_h1:not(:last-child)]:mb-6 [&_h2:not(:first-child)]:mt-6 [&_h2:not(:last-child)]:mb-4 [&_h3:not(:first-child)]:mt-4 [&_pre]:bg-palette-gray-200 [&_pre>code]:bg-transparent [&_pre>code]:px-0 [&_pre>code]:py-0 [&_pre]:px-[6px] [&_pre]:py-[2px] [&_pre]:m-0 [&_pre]:rounded-[4px] [&_code]:bg-palette-gray-200 [&_code]:px-[6px] [&_code]:py-[2px] [&_code]:m-0 [&_code]:rounded-[4px] [&_blockquote]:m-0 [&_blockquote]:px-[16px] [&_blockquote]:py-0 [&_blockquote]:text-subtle [&_blockquote]:border-l-[4px] [&_blockquote]:border-palette-gray-200 overflow-x-auto [&_ol]:pl-5 [&_li]:my-2 [&_:is(p,ul,ol):not(:first-child)]:mt-3 [&_:is(p,ul,ol):not(:last-child)]:mb-3″ data-testid=”render-markdown”>

  • Overview

  • AI can expand access to justice only if it is developed and deployed with safeguards, human expertise, and the needs of underserved communities at its center.

  • Risks and safeguards

              • Claire highlighted risks of inaccurate legal guidance, missed deadlines, bias, limited representation of low-resource languages and marginalized communities, and failure to recognize complex or trauma-related needs. She cautioned against creating a two-tier system in which people who cannot afford lawyers receive lower-quality algorithmic help.
              • Amal described a community-centered approach: co-create tools with intended users, test for fairness and equity, and use verified legal materials rather than open-internet searches. The Clooney Foundation for Justice uses encryption, privacy guidance, clear chatbot disclosures, routes to legal help, rigorous testing, and Microsoft responsible AI reviews.

  • Priorities for deployment

              • Claire urged technology companies to prioritize access, not only efficiency, and invest in legal aid providers, NGOs, and underserved communities. Tools should provide reliable jurisdiction-specific information, protect confidentiality, explain limitations, and connect users to human support.
              • For small organizations, Claire recommended starting with a repetitive, low-risk task, testing tools on a small number of matters with human review, and learning from partner organizations. Amal emphasized basic staff training and technical foundations such as connectivity and case management systems. The Justice Innovators Program at Oxford offers mentoring and technical assistance, with Azure and Claude credits for 10 selected innovators.

  • Longer-term impact

              • Participants envisioned AI helping lawyers serve more people while preserving human judgment, empathy, and client relationships. Amal emphasized scaling justice tools through legal aid and, where appropriate, public-sector partnerships, while also addressing AI harms and regulation, including deepfake evidence and cyberattacks.
              • Amal and Claire said AI can free junior lawyers from routine work and create earlier opportunities for client interaction, strategy, pro bono work, and supervised development of legal judgment.

  • Action Items

  • li>ol]:list-[lower-alpha] [&_ol>li>ol>li>ol]:list-[lower-roman] [&_ol>li>ol>li>ol>li>ol]:list-[list-decimal] [&_[data-user]]:text-primary [&_:is(pre)]:overflow-auto [&_:is(table)]:w-full [&_:is(table,th,td)]:border [&_:is(table,th,td)]:border-collapse [&_:is(table,th,td)]:border-gray-300 [&_:is(table,th,td)]:p-2 [&_:is(strong,h1,h2,h3,h4,h5,h6)]:font-semibold [&_:is(h1)]:text-2xl [&_:is(h2)]:text-lg [&_:is(h3)]:text-md [&_h1:not(:first-child)]:mt-8 [&_h1:not(:last-child)]:mb-6 [&_h2:not(:first-child)]:mt-6 [&_h2:not(:last-child)]:mb-4 [&_h3:not(:first-child)]:mt-4 [&_pre]:bg-palette-gray-200 [&_pre>code]:bg-transparent [&_pre>code]:px-0 [&_pre>code]:py-0 [&_pre]:px-[6px] [&_pre]:py-[2px] [&_pre]:m-0 [&_pre]:rounded-[4px] [&_code]:bg-palette-gray-200 [&_code]:px-[6px] [&_code]:py-[2px] [&_code]:m-0 [&_code]:rounded-[4px] [&_blockquote]:m-0 [&_blockquote]:px-[16px] [&_blockquote]:py-0 [&_blockquote]:text-subtle [&_blockquote]:border-l-[4px] [&_blockquote]:border-palette-gray-200 overflow-x-auto [&_ol]:pl-5 [&_li]:my-2 [&_:is(p,ul,ol):not(:first-child)]:mt-3 [&_:is(p,ul,ol):not(:last-child)]:mb-3″ data-testid=”render-markdown”>

  • Overview

  • AI can expand access to justice only if it is developed and deployed with safeguards, human expertise, and the needs of underserved communities at its center.

  • Risks and safeguards

                • Claire highlighted risks of inaccurate legal guidance, missed deadlines, bias, limited representation of low-resource languages and marginalized communities, and failure to recognize complex or trauma-related needs. She cautioned against creating a two-tier system in which people who cannot afford lawyers receive lower-quality algorithmic help.
                • Amal described a community-centered approach: co-create tools with intended users, test for fairness and equity, and use verified legal materials rather than open-internet searches. The Clooney Foundation for Justice uses encryption, privacy guidance, clear chatbot disclosures, routes to legal help, rigorous testing, and Microsoft responsible AI reviews.

  • Priorities for deployment

                • Claire urged technology companies to prioritize access, not only efficiency, and invest in legal aid providers, NGOs, and underserved communities. Tools should provide reliable jurisdiction-specific information, protect confidentiality, explain limitations, and connect users to human support.
                • For small organizations, Claire recommended starting with a repetitive, low-risk task, testing tools on a small number of matters with human review, and learning from partner organizations. Amal emphasized basic staff training and technical foundations such as connectivity and case management systems. The Justice Innovators Program at Oxford offers mentoring and technical assistance, with Azure and Claude credits for 10 selected innovators.

  • Longer-term impact

                • Participants envisioned AI helping lawyers serve more people while preserving human judgment, empathy, and client relationships. Amal emphasized scaling justice tools through legal aid and, where appropriate, public-sector partnerships, while also addressing AI harms and regulation, including deepfake evidence and cyberattacks.
                • Amal and Claire said AI can free junior lawyers from routine work and create earlier opportunities for client interaction, strategy, pro bono work, and supervised development of legal judgment.

  • Action Items

  • li>ol]:list-[lower-alpha] [&_ol>li>ol>li>ol]:list-[lower-roman] [&_ol>li>ol>li>ol>li>ol]:list-[list-decimal] [&_[data-user]]:text-primary [&_:is(pre)]:overflow-auto [&_:is(table)]:w-full [&_:is(table,th,td)]:border [&_:is(table,th,td)]:border-collapse [&_:is(table,th,td)]:border-gray-300 [&_:is(table,th,td)]:p-2 [&_:is(strong,h1,h2,h3,h4,h5,h6)]:font-semibold [&_:is(h1)]:text-2xl [&_:is(h2)]:text-lg [&_:is(h3)]:text-md [&_h1:not(:first-child)]:mt-8 [&_h1:not(:last-child)]:mb-6 [&_h2:not(:first-child)]:mt-6 [&_h2:not(:last-child)]:mb-4 [&_h3:not(:first-child)]:mt-4 [&_pre]:bg-palette-gray-200 [&_pre>code]:bg-transparent [&_pre>code]:px-0 [&_pre>code]:py-0 [&_pre]:px-[6px] [&_pre]:py-[2px] [&_pre]:m-0 [&_pre]:rounded-[4px] [&_code]:bg-palette-gray-200 [&_code]:px-[6px] [&_code]:py-[2px] [&_code]:m-0 [&_code]:rounded-[4px] [&_blockquote]:m-0 [&_blockquote]:px-[16px] [&_blockquote]:py-0 [&_blockquote]:text-subtle [&_blockquote]:border-l-[4px] [&_blockquote]:border-palette-gray-200 overflow-x-auto [&_ol]:pl-5 [&_li]:my-2 [&_:is(p,ul,ol):not(:first-child)]:mt-3 [&_:is(p,ul,ol):not(:last-child)]:mb-3″ data-testid=”render-markdown”>

  • Overview

  • AI can expand access to justice only if it is developed and deployed with safeguards, human expertise, and the needs of underserved communities at its center.

  • Risks and safeguards

                  • Claire highlighted risks of inaccurate legal guidance, missed deadlines, bias, limited representation of low-resource languages and marginalized communities, and failure to recognize complex or trauma-related needs. She cautioned against creating a two-tier system in which people who cannot afford lawyers receive lower-quality algorithmic help.
                  • Amal described a community-centered approach: co-create tools with intended users, test for fairness and equity, and use verified legal materials rather than open-internet searches. The Clooney Foundation for Justice uses encryption, privacy guidance, clear chatbot disclosures, routes to legal help, rigorous testing, and Microsoft responsible AI reviews.

  • Priorities for deployment

                  • Claire urged technology companies to prioritize access, not only efficiency, and invest in legal aid providers, NGOs, and underserved communities. Tools should provide reliable jurisdiction-specific information, protect confidentiality, explain limitations, and connect users to human support.
                  • For small organizations, Claire recommended starting with a repetitive, low-risk task, testing tools on a small number of matters with human review, and learning from partner organizations. Amal emphasized basic staff training and technical foundations such as connectivity and case management systems. The Justice Innovators Program at Oxford offers mentoring and technical assistance, with Azure and Claude credits for 10 selected innovators.

  • Longer-term impact

                  • Participants envisioned AI helping lawyers serve more people while preserving human judgment, empathy, and client relationships. Amal emphasized scaling justice tools through legal aid and, where appropriate, public-sector partnerships, while also addressing AI harms and regulation, including deepfake evidence and cyberattacks.
                  • Amal and Claire said AI can free junior lawyers from routine work and create earlier opportunities for client interaction, strategy, pro bono work, and supervised development of legal judgment.

  • Action Items

  • li>ol]:list-[lower-alpha] [&_ol>li>ol>li>ol]:list-[lower-roman] [&_ol>li>ol>li>ol>li>ol]:list-[list-decimal] [&_[data-user]]:text-primary [&_:is(pre)]:overflow-auto [&_:is(table)]:w-full [&_:is(table,th,td)]:border [&_:is(table,th,td)]:border-collapse [&_:is(table,th,td)]:border-gray-300 [&_:is(table,th,td)]:p-2 [&_:is(strong,h1,h2,h3,h4,h5,h6)]:font-semibold [&_:is(h1)]:text-2xl [&_:is(h2)]:text-lg [&_:is(h3)]:text-md [&_h1:not(:first-child)]:mt-8 [&_h1:not(:last-child)]:mb-6 [&_h2:not(:first-child)]:mt-6 [&_h2:not(:last-child)]:mb-4 [&_h3:not(:first-child)]:mt-4 [&_pre]:bg-palette-gray-200 [&_pre>code]:bg-transparent [&_pre>code]:px-0 [&_pre>code]:py-0 [&_pre]:px-[6px] [&_pre]:py-[2px] [&_pre]:m-0 [&_pre]:rounded-[4px] [&_code]:bg-palette-gray-200 [&_code]:px-[6px] [&_code]:py-[2px] [&_code]:m-0 [&_code]:rounded-[4px] [&_blockquote]:m-0 [&_blockquote]:px-[16px] [&_blockquote]:py-0 [&_blockquote]:text-subtle [&_blockquote]:border-l-[4px] [&_blockquote]:border-palette-gray-200 overflow-x-auto [&_ol]:pl-5 [&_li]:my-2 [&_:is(p,ul,ol):not(:first-child)]:mt-3 [&_:is(p,ul,ol):not(:last-child)]:mb-3″ data-testid=”render-markdown”>

  • Overview

  • AI can expand access to justice only if it is developed and deployed with safeguards, human expertise, and the needs of underserved communities at its center.

  • Risks and safeguards

                    • Claire highlighted risks of inaccurate legal guidance, missed deadlines, bias, limited representation of low-resource languages and marginalized communities, and failure to recognize complex or trauma-related needs. She cautioned against creating a two-tier system in which people who cannot afford lawyers receive lower-quality algorithmic help.
                    • Amal described a community-centered approach: co-create tools with intended users, test for fairness and equity, and use verified legal materials rather than open-internet searches. The Clooney Foundation for Justice uses encryption, privacy guidance, clear chatbot disclosures, routes to legal help, rigorous testing, and Microsoft responsible AI reviews.

  • Priorities for deployment

                    • Claire urged technology companies to prioritize access, not only efficiency, and invest in legal aid providers, NGOs, and underserved communities. Tools should provide reliable jurisdiction-specific information, protect confidentiality, explain limitations, and connect users to human support.
                    • For small organizations, Claire recommended starting with a repetitive, low-risk task, testing tools on a small number of matters with human review, and learning from partner organizations. Amal emphasized basic staff training and technical foundations such as connectivity and case management systems. The Justice Innovators Program at Oxford offers mentoring and technical assistance, with Azure and Claude credits for 10 selected innovators.

  • Longer-term impact

                    • Participants envisioned AI helping lawyers serve more people while preserving human judgment, empathy, and client relationships. Amal emphasized scaling justice tools through legal aid and, where appropriate, public-sector partnerships, while also addressing AI harms and regulation, including deepfake evidence and cyberattacks.
                    • Amal and Claire said AI can free junior lawyers from routine work and create earlier opportunities for client interaction, strategy, pro bono work, and supervised development of legal judgment.

  • Action Items

  • li>ol]:list-[lower-alpha] [&_ol>li>ol>li>ol]:list-[lower-roman] [&_ol>li>ol>li>ol>li>ol]:list-[list-decimal] [&_[data-user]]:text-primary [&_:is(pre)]:overflow-auto [&_:is(table)]:w-full [&_:is(table,th,td)]:border [&_:is(table,th,td)]:border-collapse [&_:is(table,th,td)]:border-gray-300 [&_:is(table,th,td)]:p-2 [&_:is(strong,h1,h2,h3,h4,h5,h6)]:font-semibold [&_:is(h1)]:text-2xl [&_:is(h2)]:text-lg [&_:is(h3)]:text-md [&_h1:not(:first-child)]:mt-8 [&_h1:not(:last-child)]:mb-6 [&_h2:not(:first-child)]:mt-6 [&_h2:not(:last-child)]:mb-4 [&_h3:not(:first-child)]:mt-4 [&_pre]:bg-palette-gray-200 [&_pre>code]:bg-transparent [&_pre>code]:px-0 [&_pre>code]:py-0 [&_pre]:px-[6px] [&_pre]:py-[2px] [&_pre]:m-0 [&_pre]:rounded-[4px] [&_code]:bg-palette-gray-200 [&_code]:px-[6px] [&_code]:py-[2px] [&_code]:m-0 [&_code]:rounded-[4px] [&_blockquote]:m-0 [&_blockquote]:px-[16px] [&_blockquote]:py-0 [&_blockquote]:text-subtle [&_blockquote]:border-l-[4px] [&_blockquote]:border-palette-gray-200 overflow-x-auto [&_ol]:pl-5 [&_li]:my-2 [&_:is(p,ul,ol):not(:first-child)]:mt-3 [&_:is(p,ul,ol):not(:last-child)]:mb-3″ data-testid=”render-markdown”>

  • Overview

  • AI can expand access to justice only if it is developed and deployed with safeguards, human expertise, and the needs of underserved communities at its center.

  • Risks and safeguards

                      • Claire highlighted risks of inaccurate legal guidance, missed deadlines, bias, limited representation of low-resource languages and marginalized communities, and failure to recognize complex or trauma-related needs. She cautioned against creating a two-tier system in which people who cannot afford lawyers receive lower-quality algorithmic help.
                      • Amal described a community-centered approach: co-create tools with intended users, test for fairness and equity, and use verified legal materials rather than open-internet searches. The Clooney Foundation for Justice uses encryption, privacy guidance, clear chatbot disclosures, routes to legal help, rigorous testing, and Microsoft responsible AI reviews.

  • Priorities for deployment

                      • Claire urged technology companies to prioritize access, not only efficiency, and invest in legal aid providers, NGOs, and underserved communities. Tools should provide reliable jurisdiction-specific information, protect confidentiality, explain limitations, and connect users to human support.
                      • For small organizations, Claire recommended starting with a repetitive, low-risk task, testing tools on a small number of matters with human review, and learning from partner organizations. Amal emphasized basic staff training and technical foundations such as connectivity and case management systems. The Justice Innovators Program at Oxford offers mentoring and technical assistance, with Azure and Claude credits for 10 selected innovators.

  • Longer-term impact

                      • Participants envisioned AI helping lawyers serve more people while preserving human judgment, empathy, and client relationships. Amal emphasized scaling justice tools through legal aid and, where appropriate, public-sector partnerships, while also addressing AI harms and regulation, including deepfake evidence and cyberattacks.
                      • Amal and Claire said AI can free junior lawyers from routine work and create earlier opportunities for client interaction, strategy, pro bono work, and supervised development of legal judgment.

  • Action Items

  • li>ol]:list-[lower-alpha] [&_ol>li>ol>li>ol]:list-[lower-roman] [&_ol>li>ol>li>ol>li>ol]:list-[list-decimal] [&_[data-user]]:text-primary [&_:is(pre)]:overflow-auto [&_:is(table)]:w-full [&_:is(table,th,td)]:border [&_:is(table,th,td)]:border-collapse [&_:is(table,th,td)]:border-gray-300 [&_:is(table,th,td)]:p-2 [&_:is(strong,h1,h2,h3,h4,h5,h6)]:font-semibold [&_:is(h1)]:text-2xl [&_:is(h2)]:text-lg [&_:is(h3)]:text-md [&_h1:not(:first-child)]:mt-8 [&_h1:not(:last-child)]:mb-6 [&_h2:not(:first-child)]:mt-6 [&_h2:not(:last-child)]:mb-4 [&_h3:not(:first-child)]:mt-4 [&_pre]:bg-palette-gray-200 [&_pre>code]:bg-transparent [&_pre>code]:px-0 [&_pre>code]:py-0 [&_pre]:px-[6px] [&_pre]:py-[2px] [&_pre]:m-0 [&_pre]:rounded-[4px] [&_code]:bg-palette-gray-200 [&_code]:px-[6px] [&_code]:py-[2px] [&_code]:m-0 [&_code]:rounded-[4px] [&_blockquote]:m-0 [&_blockquote]:px-[16px] [&_blockquote]:py-0 [&_blockquote]:text-subtle [&_blockquote]:border-l-[4px] [&_blockquote]:border-palette-gray-200 overflow-x-auto [&_ol]:pl-5 [&_li]:my-2 [&_:is(p,ul,ol):not(:first-child)]:mt-3 [&_:is(p,ul,ol):not(:last-child)]:mb-3″ data-testid=”render-markdown”>

  • Overview

  • AI can expand access to justice only if it is developed and deployed with safeguards, human expertise, and the needs of underserved communities at its center.

  • Risks and safeguards

                        • Claire highlighted risks of inaccurate legal guidance, missed deadlines, bias, limited representation of low-resource languages and marginalized communities, and failure to recognize complex or trauma-related needs. She cautioned against creating a two-tier system in which people who cannot afford lawyers receive lower-quality algorithmic help.
                        • Amal described a community-centered approach: co-create tools with intended users, test for fairness and equity, and use verified legal materials rather than open-internet searches. The Clooney Foundation for Justice uses encryption, privacy guidance, clear chatbot disclosures, routes to legal help, rigorous testing, and Microsoft responsible AI reviews.

  • Priorities for deployment

                        • Claire urged technology companies to prioritize access, not only efficiency, and invest in legal aid providers, NGOs, and underserved communities. Tools should provide reliable jurisdiction-specific information, protect confidentiality, explain limitations, and connect users to human support.
                        • For small organizations, Claire recommended starting with a repetitive, low-risk task, testing tools on a small number of matters with human review, and learning from partner organizations. Amal emphasized basic staff training and technical foundations such as connectivity and case management systems. The Justice Innovators Program at Oxford offers mentoring and technical assistance, with Azure and Claude credits for 10 selected innovators.

  • Longer-term impact

                        • Participants envisioned AI helping lawyers serve more people while preserving human judgment, empathy, and client relationships. Amal emphasized scaling justice tools through legal aid and, where appropriate, public-sector partnerships, while also addressing AI harms and regulation, including deepfake evidence and cyberattacks.
                        • Amal and Claire said AI can free junior lawyers from routine work and create earlier opportunities for client interaction, strategy, pro bono work, and supervised development of legal judgment.

  • Action Items

  • li>ol]:list-[lower-alpha] [&_ol>li>ol>li>ol]:list-[lower-roman] [&_ol>li>ol>li>ol>li>ol]:list-[list-decimal] [&_[data-user]]:text-primary [&_:is(pre)]:overflow-auto [&_:is(table)]:w-full [&_:is(table,th,td)]:border [&_:is(table,th,td)]:border-collapse [&_:is(table,th,td)]:border-gray-300 [&_:is(table,th,td)]:p-2 [&_:is(strong,h1,h2,h3,h4,h5,h6)]:font-semibold [&_:is(h1)]:text-2xl [&_:is(h2)]:text-lg [&_:is(h3)]:text-md [&_h1:not(:first-child)]:mt-8 [&_h1:not(:last-child)]:mb-6 [&_h2:not(:first-child)]:mt-6 [&_h2:not(:last-child)]:mb-4 [&_h3:not(:first-child)]:mt-4 [&_pre]:bg-palette-gray-200 [&_pre>code]:bg-transparent [&_pre>code]:px-0 [&_pre>code]:py-0 [&_pre]:px-[6px] [&_pre]:py-[2px] [&_pre]:m-0 [&_pre]:rounded-[4px] [&_code]:bg-palette-gray-200 [&_code]:px-[6px] [&_code]:py-[2px] [&_code]:m-0 [&_code]:rounded-[4px] [&_blockquote]:m-0 [&_blockquote]:px-[16px] [&_blockquote]:py-0 [&_blockquote]:text-subtle [&_blockquote]:border-l-[4px] [&_blockquote]:border-palette-gray-200 overflow-x-auto [&_ol]:pl-5 [&_li]:my-2 [&_:is(p,ul,ol):not(:first-child)]:mt-3 [&_:is(p,ul,ol):not(:last-child)]:mb-3″ data-testid=”render-markdown”>

  • Overview

  • AI can expand access to justice only if it is developed and deployed with safeguards, human expertise, and the needs of underserved communities at its center.

  • Risks and safeguards

                          • Claire highlighted risks of inaccurate legal guidance, missed deadlines, bias, limited representation of low-resource languages and marginalized communities, and failure to recognize complex or trauma-related needs. She cautioned against creating a two-tier system in which people who cannot afford lawyers receive lower-quality algorithmic help.
                          • Amal described a community-centered approach: co-create tools with intended users, test for fairness and equity, and use verified legal materials rather than open-internet searches. The Clooney Foundation for Justice uses encryption, privacy guidance, clear chatbot disclosures, routes to legal help, rigorous testing, and Microsoft responsible AI reviews.

  • Priorities for deployment

                          • Claire urged technology companies to prioritize access, not only efficiency, and invest in legal aid providers, NGOs, and underserved communities. Tools should provide reliable jurisdiction-specific information, protect confidentiality, explain limitations, and connect users to human support.
                          • For small organizations, Claire recommended starting with a repetitive, low-risk task, testing tools on a small number of matters with human review, and learning from partner organizations. Amal emphasized basic staff training and technical foundations such as connectivity and case management systems. The Justice Innovators Program at Oxford offers mentoring and technical assistance, with Azure and Claude credits for 10 selected innovators.

  • Longer-term impact

                          • Participants envisioned AI helping lawyers serve more people while preserving human judgment, empathy, and client relationships. Amal emphasized scaling justice tools through legal aid and, where appropriate, public-sector partnerships, while also addressing AI harms and regulation, including deepfake evidence and cyberattacks.
                          • Amal and Claire said AI can free junior lawyers from routine work and create earlier opportunities for client interaction, strategy, pro bono work, and supervised development of legal judgment.

  • Action Items

  • li>ol]:list-[lower-alpha] [&_ol>li>ol>li>ol]:list-[lower-roman] [&_ol>li>ol>li>ol>li>ol]:list-[list-decimal] [&_[data-user]]:text-primary [&_:is(pre)]:overflow-auto [&_:is(table)]:w-full [&_:is(table,th,td)]:border [&_:is(table,th,td)]:border-collapse [&_:is(table,th,td)]:border-gray-300 [&_:is(table,th,td)]:p-2 [&_:is(strong,h1,h2,h3,h4,h5,h6)]:font-semibold [&_:is(h1)]:text-2xl [&_:is(h2)]:text-lg [&_:is(h3)]:text-md [&_h1:not(:first-child)]:mt-8 [&_h1:not(:last-child)]:mb-6 [&_h2:not(:first-child)]:mt-6 [&_h2:not(:last-child)]:mb-4 [&_h3:not(:first-child)]:mt-4 [&_pre]:bg-palette-gray-200 [&_pre>code]:bg-transparent [&_pre>code]:px-0 [&_pre>code]:py-0 [&_pre]:px-[6px] [&_pre]:py-[2px] [&_pre]:m-0 [&_pre]:rounded-[4px] [&_code]:bg-palette-gray-200 [&_code]:px-[6px] [&_code]:py-[2px] [&_code]:m-0 [&_code]:rounded-[4px] [&_blockquote]:m-0 [&_blockquote]:px-[16px] [&_blockquote]:py-0 [&_blockquote]:text-subtle [&_blockquote]:border-l-[4px] [&_blockquote]:border-palette-gray-200 overflow-x-auto [&_ol]:pl-5 [&_li]:my-2 [&_:is(p,ul,ol):not(:first-child)]:mt-3 [&_:is(p,ul,ol):not(:last-child)]:mb-3″ data-testid=”render-markdown”>

  • Overview

  • AI can expand access to justice only if it is developed and deployed with safeguards, human expertise, and the needs of underserved communities at its center.

  • Risks and safeguards

                            • Claire highlighted risks of inaccurate legal guidance, missed deadlines, bias, limited representation of low-resource languages and marginalized communities, and failure to recognize complex or trauma-related needs. She cautioned against creating a two-tier system in which people who cannot afford lawyers receive lower-quality algorithmic help.
                            • Amal described a community-centered approach: co-create tools with intended users, test for fairness and equity, and use verified legal materials rather than open-internet searches. The Clooney Foundation for Justice uses encryption, privacy guidance, clear chatbot disclosures, routes to legal help, rigorous testing, and Microsoft responsible AI reviews.

  • Priorities for deployment

                            • Claire urged technology companies to prioritize access, not only efficiency, and invest in legal aid providers, NGOs, and underserved communities. Tools should provide reliable jurisdiction-specific information, protect confidentiality, explain limitations, and connect users to human support.
                            • For small organizations, Claire recommended starting with a repetitive, low-risk task, testing tools on a small number of matters with human review, and learning from partner organizations. Amal emphasized basic staff training and technical foundations such as connectivity and case management systems. The Justice Innovators Program at Oxford offers mentoring and technical assistance, with Azure and Claude credits for 10 selected innovators.

  • Longer-term impact

                            • Participants envisioned AI helping lawyers serve more people while preserving human judgment, empathy, and client relationships. Amal emphasized scaling justice tools through legal aid and, where appropriate, public-sector partnerships, while also addressing AI harms and regulation, including deepfake evidence and cyberattacks.
                            • Amal and Claire said AI can free junior lawyers from routine work and create earlier opportunities for client interaction, strategy, pro bono work, and supervised development of legal judgment.

  • Action Items

  • li>ol]:list-[lower-alpha] [&_ol>li>ol>li>ol]:list-[lower-roman] [&_ol>li>ol>li>ol>li>ol]:list-[list-decimal] [&_[data-user]]:text-primary [&_:is(pre)]:overflow-auto [&_:is(table)]:w-full [&_:is(table,th,td)]:border [&_:is(table,th,td)]:border-collapse [&_:is(table,th,td)]:border-gray-300 [&_:is(table,th,td)]:p-2 [&_:is(strong,h1,h2,h3,h4,h5,h6)]:font-semibold [&_:is(h1)]:text-2xl [&_:is(h2)]:text-lg [&_:is(h3)]:text-md [&_h1:not(:first-child)]:mt-8 [&_h1:not(:last-child)]:mb-6 [&_h2:not(:first-child)]:mt-6 [&_h2:not(:last-child)]:mb-4 [&_h3:not(:first-child)]:mt-4 [&_pre]:bg-palette-gray-200 [&_pre>code]:bg-transparent [&_pre>code]:px-0 [&_pre>code]:py-0 [&_pre]:px-[6px] [&_pre]:py-[2px] [&_pre]:m-0 [&_pre]:rounded-[4px] [&_code]:bg-palette-gray-200 [&_code]:px-[6px] [&_code]:py-[2px] [&_code]:m-0 [&_code]:rounded-[4px] [&_blockquote]:m-0 [&_blockquote]:px-[16px] [&_blockquote]:py-0 [&_blockquote]:text-subtle [&_blockquote]:border-l-[4px] [&_blockquote]:border-palette-gray-200 overflow-x-auto [&_ol]:pl-5 [&_li]:my-2 [&_:is(p,ul,ol):not(:first-child)]:mt-3 [&_:is(p,ul,ol):not(:last-child)]:mb-3″ data-testid=”render-markdown”>

  • Overview

  • AI can expand access to justice only if it is developed and deployed with safeguards, human expertise, and the needs of underserved communities at its center.

  • Risks and safeguards

                              • Claire highlighted risks of inaccurate legal guidance, missed deadlines, bias, limited representation of low-resource languages and marginalized communities, and failure to recognize complex or trauma-related needs. She cautioned against creating a two-tier system in which people who cannot afford lawyers receive lower-quality algorithmic help.
                              • Amal described a community-centered approach: co-create tools with intended users, test for fairness and equity, and use verified legal materials rather than open-internet searches. The Clooney Foundation for Justice uses encryption, privacy guidance, clear chatbot disclosures, routes to legal help, rigorous testing, and Microsoft responsible AI reviews.

  • Priorities for deployment

                              • Claire urged technology companies to prioritize access, not only efficiency, and invest in legal aid providers, NGOs, and underserved communities. Tools should provide reliable jurisdiction-specific information, protect confidentiality, explain limitations, and connect users to human support.
                              • For small organizations, Claire recommended starting with a repetitive, low-risk task, testing tools on a small number of matters with human review, and learning from partner organizations. Amal emphasized basic staff training and technical foundations such as connectivity and case management systems. The Justice Innovators Program at Oxford offers mentoring and technical assistance, with Azure and Claude credits for 10 selected innovators.

  • Longer-term impact

                              • Participants envisioned AI helping lawyers serve more people while preserving human judgment, empathy, and client relationships. Amal emphasized scaling justice tools through legal aid and, where appropriate, public-sector partnerships, while also addressing AI harms and regulation, including deepfake evidence and cyberattacks.
                              • Amal and Claire said AI can free junior lawyers from routine work and create earlier opportunities for client interaction, strategy, pro bono work, and supervised development of legal judgment.

  • Action Items

  • li>ol]:list-[lower-alpha] [&_ol>li>ol>li>ol]:list-[lower-roman] [&_ol>li>ol>li>ol>li>ol]:list-[list-decimal] [&_[data-user]]:text-primary [&_:is(pre)]:overflow-auto [&_:is(table)]:w-full [&_:is(table,th,td)]:border [&_:is(table,th,td)]:border-collapse [&_:is(table,th,td)]:border-gray-300 [&_:is(table,th,td)]:p-2 [&_:is(strong,h1,h2,h3,h4,h5,h6)]:font-semibold [&_:is(h1)]:text-2xl [&_:is(h2)]:text-lg [&_:is(h3)]:text-md [&_h1:not(:first-child)]:mt-8 [&_h1:not(:last-child)]:mb-6 [&_h2:not(:first-child)]:mt-6 [&_h2:not(:last-child)]:mb-4 [&_h3:not(:first-child)]:mt-4 [&_pre]:bg-palette-gray-200 [&_pre>code]:bg-transparent [&_pre>code]:px-0 [&_pre>code]:py-0 [&_pre]:px-[6px] [&_pre]:py-[2px] [&_pre]:m-0 [&_pre]:rounded-[4px] [&_code]:bg-palette-gray-200 [&_code]:px-[6px] [&_code]:py-[2px] [&_code]:m-0 [&_code]:rounded-[4px] [&_blockquote]:m-0 [&_blockquote]:px-[16px] [&_blockquote]:py-0 [&_blockquote]:text-subtle [&_blockquote]:border-l-[4px] [&_blockquote]:border-palette-gray-200 overflow-x-auto [&_ol]:pl-5 [&_li]:my-2 [&_:is(p,ul,ol):not(:first-child)]:mt-3 [&_:is(p,ul,ol):not(:last-child)]:mb-3″ data-testid=”render-markdown”>

  • Overview

  • AI can expand access to justice only if it is developed and deployed with safeguards, human expertise, and the needs of underserved communities at its center.

  • Risks and safeguards

                                • Claire highlighted risks of inaccurate legal guidance, missed deadlines, bias, limited representation of low-resource languages and marginalized communities, and failure to recognize complex or trauma-related needs. She cautioned against creating a two-tier system in which people who cannot afford lawyers receive lower-quality algorithmic help.
                                • Amal described a community-centered approach: co-create tools with intended users, test for fairness and equity, and use verified legal materials rather than open-internet searches. The Clooney Foundation for Justice uses encryption, privacy guidance, clear chatbot disclosures, routes to legal help, rigorous testing, and Microsoft responsible AI reviews.

  • Priorities for deployment

                                • Claire urged technology companies to prioritize access, not only efficiency, and invest in legal aid providers, NGOs, and underserved communities. Tools should provide reliable jurisdiction-specific information, protect confidentiality, explain limitations, and connect users to human support.
                                • For small organizations, Claire recommended starting with a repetitive, low-risk task, testing tools on a small number of matters with human review, and learning from partner organizations. Amal emphasized basic staff training and technical foundations such as connectivity and case management systems. The Justice Innovators Program at Oxford offers mentoring and technical assistance, with Azure and Claude credits for 10 selected innovators.

  • Longer-term impact

                                • Participants envisioned AI helping lawyers serve more people while preserving human judgment, empathy, and client relationships. Amal emphasized scaling justice tools through legal aid and, where appropriate, public-sector partnerships, while also addressing AI harms and regulation, including deepfake evidence and cyberattacks.
                                • Amal and Claire said AI can free junior lawyers from routine work and create earlier opportunities for client interaction, strategy, pro bono work, and supervised development of legal judgment.

  • Action Items

  • li>ol]:list-[lower-alpha] [&_ol>li>ol>li>ol]:list-[lower-roman] [&_ol>li>ol>li>ol>li>ol]:list-[list-decimal] [&_[data-user]]:text-primary [&_:is(pre)]:overflow-auto [&_:is(table)]:w-full [&_:is(table,th,td)]:border [&_:is(table,th,td)]:border-collapse [&_:is(table,th,td)]:border-gray-300 [&_:is(table,th,td)]:p-2 [&_:is(strong,h1,h2,h3,h4,h5,h6)]:font-semibold [&_:is(h1)]:text-2xl [&_:is(h2)]:text-lg [&_:is(h3)]:text-md [&_h1:not(:first-child)]:mt-8 [&_h1:not(:last-child)]:mb-6 [&_h2:not(:first-child)]:mt-6 [&_h2:not(:last-child)]:mb-4 [&_h3:not(:first-child)]:mt-4 [&_pre]:bg-palette-gray-200 [&_pre>code]:bg-transparent [&_pre>code]:px-0 [&_pre>code]:py-0 [&_pre]:px-[6px] [&_pre]:py-[2px] [&_pre]:m-0 [&_pre]:rounded-[4px] [&_code]:bg-palette-gray-200 [&_code]:px-[6px] [&_code]:py-[2px] [&_code]:m-0 [&_code]:rounded-[4px] [&_blockquote]:m-0 [&_blockquote]:px-[16px] [&_blockquote]:py-0 [&_blockquote]:text-subtle [&_blockquote]:border-l-[4px] [&_blockquote]:border-palette-gray-200 overflow-x-auto [&_ol]:pl-5 [&_li]:my-2 [&_:is(p,ul,ol):not(:first-child)]:mt-3 [&_:is(p,ul,ol):not(:last-child)]:mb-3″ data-testid=”render-markdown”>

  • Overview

  • AI can expand access to justice only if it is developed and deployed with safeguards, human expertise, and the needs of underserved communities at its center.

  • Risks and safeguards

                                  • Claire highlighted risks of inaccurate legal guidance, missed deadlines, bias, limited representation of low-resource languages and marginalized communities, and failure to recognize complex or trauma-related needs. She cautioned against creating a two-tier system in which people who cannot afford lawyers receive lower-quality algorithmic help.
                                  • Amal described a community-centered approach: co-create tools with intended users, test for fairness and equity, and use verified legal materials rather than open-internet searches. The Clooney Foundation for Justice uses encryption, privacy guidance, clear chatbot disclosures, routes to legal help, rigorous testing, and Microsoft responsible AI reviews.

  • Priorities for deployment

                                  • Claire urged technology companies to prioritize access, not only efficiency, and invest in legal aid providers, NGOs, and underserved communities. Tools should provide reliable jurisdiction-specific information, protect confidentiality, explain limitations, and connect users to human support.
                                  • For small organizations, Claire recommended starting with a repetitive, low-risk task, testing tools on a small number of matters with human review, and learning from partner organizations. Amal emphasized basic staff training and technical foundations such as connectivity and case management systems. The Justice Innovators Program at Oxford offers mentoring and technical assistance, with Azure and Claude credits for 10 selected innovators.

  • Longer-term impact

                                  • Participants envisioned AI helping lawyers serve more people while preserving human judgment, empathy, and client relationships. Amal emphasized scaling justice tools through legal aid and, where appropriate, public-sector partnerships, while also addressing AI harms and regulation, including deepfake evidence and cyberattacks.
                                  • Amal and Claire said AI can free junior lawyers from routine work and create earlier opportunities for client interaction, strategy, pro bono work, and supervised development of legal judgment.

  • Action Items

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