Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.
David Engstrom | AI and Access to Justice | Stanford HAI
Skip to content
  • About

    • About
    • People
    • Get Involved with HAI
    • Support HAI
    • Subscribe to Email
  • Research

    • Research
    • Fellowship Programs
    • Grants
    • Student Affinity Groups
    • Centers & Labs
    • Research Publications
    • Research Partners
  • Education

    • Education
    • Executive and Professional Education
    • Government and Policymakers
    • K-12
    • Stanford Students
  • Policy

    • Policy
    • Policy Publications
    • Policymaker Education
    • Student Opportunities
  • AI Index

    • AI Index
    • AI Index Report
    • Global Vibrancy Tool
    • People
  • News
  • Events
  • Industry
  • Centers & Labs
Navigate
  • About
  • Events
  • Careers
  • Search
Participate
  • Get Involved
  • Support HAI
  • Contact Us

Stay Up To Date

Get the latest news, advances in research, policy work, and education program updates from HAI in your inbox weekly.

Sign Up For Latest News

Your browser does not support the video tag.
eventSeminar

David Engstrom | AI and Access to Justice

Status
Past
Date
Wednesday, February 12, 2025 12:00 PM - 1:15 PM PST/PDT
Location
Gates Computer Science Building, Room 119, 353 Jane Stanford Way, CA 94503
Topics
Law Enforcement and Justice
Overview
Event Recording

HAI Seminar with David Engstrom

Abstract:

Two powerful forces are bearing down on the American legal system: mounting concern about access to justice, including the bracing fact that a majority of litigants in American courts are self-represented, and stunning advances in AI, which have brought even higher-order legal cognitions within automation’s sights. This talk will review the institutional, technical, and legal barriers to effective and trustworthy AI-based tools that can help close the justice gap, whether in a fast-growing “legal tech” marketplace or in courts themselves. On the latter, the seminar will report on a first-of-its-kind collaboration between Stanford Law School and the Los Angeles Superior Court, the nation’s largest trial court, that is rethinking the court’s digital pathways for serving court users in evictions, debt collections, and family matters.

David Engstrom
Professor of Law and Associate Dean for Strategic Initiatives
Overview
Event Recording
Share
Link copied to clipboard!
Event Contact
Annie Benisch
abenisch@stanford.edu
More from HAI and SDS seminars
  • Hari Subramonyam | Learning by Creating: A Human-Centered Vision for AI in Education
    SeminarMar 11, 202612:00 PM - 1:15 PM
    March
    11
    2026

Related Events

Zoë Hitzig | How People Use ChatGPT
Mar 09, 202612:00 PM - 1:00 PM
March
09
2026

Despite the rapid adoption of LLM chatbots, little is known about how they are used. We approach this question theoretically and empirically, modeling a user who chooses whether to complete a task herself, ask the chatbot for information that reduces decision noise, or delegate execution to the chatbot...

Event

Zoë Hitzig | How People Use ChatGPT

Mar 09, 202612:00 PM - 1:00 PM

Despite the rapid adoption of LLM chatbots, little is known about how they are used. We approach this question theoretically and empirically, modeling a user who chooses whether to complete a task herself, ask the chatbot for information that reduces decision noise, or delegate execution to the chatbot...

Hari Subramonyam | Learning by Creating: A Human-Centered Vision for AI in Education
SeminarMar 11, 202612:00 PM - 1:15 PM
March
11
2026
Seminar

Hari Subramonyam | Learning by Creating: A Human-Centered Vision for AI in Education

Mar 11, 202612:00 PM - 1:15 PM
Joel Becker | Reconciling Impressive AI Benchmark Performance with Limited Developer Productivity Impacts
Mar 16, 202612:00 PM - 1:00 PM
March
16
2026

AI coding agents now complete multi-hour coding benchmarks with roughly 50% reliability, yet a randomized trial found experienced open-source developers took about 19% longer when allowed frontier AI tools than when tools were disallowed...

Event

Joel Becker | Reconciling Impressive AI Benchmark Performance with Limited Developer Productivity Impacts

Mar 16, 202612:00 PM - 1:00 PM

AI coding agents now complete multi-hour coding benchmarks with roughly 50% reliability, yet a randomized trial found experienced open-source developers took about 19% longer when allowed frontier AI tools than when tools were disallowed...