DEV Community

CourtGPT
CourtGPT

Posted on

Self-Represented Litigant Outcome Studies

Self-Represented Litigant Outcome Studies

Empirical data on self-represented litigant (SRL) outcomes. Working patterns and research references.

Background

Self-represented litigants (SRLs) are parties without attorney representation. SRL rates:

  • 50%+ of family court cases
  • 70%+ of landlord-tenant cases
  • 95%+ of small claims

Empirical patterns

Outcome data

SelfHelp.gov and state studies (2020-2024):

  • SRLs win 30-50% of family cases (vs. 60-70% with attorney)
  • SRLs win 50-65% of landlord-tenant cases
  • SRLs win 50% of small claims

Time and cost

SRLs spend:

  • 3-5x more time on case preparation (no lawyer experience)
  • 2-3x more court appearances (procedural mistakes)
  • Significant cost on legal forms and document preparation

Procedural issues

Common SRL procedural errors:

  • Missing deadlines (calendar navigation)
  • Wrong filing format
  • Incomplete forms
  • Improper service of process
  • Failure to appear

Equity considerations

SRL rates correlate with:

  • Income (low income → high SRL rate)
  • Race (Black and Hispanic households → high SRL rate)
  • Education
  • Language access

Working AI patterns

Self-help portals

Working patterns:

  • Plain-language form fillers
  • Step-by-step guided forms
  • Document automation
  • Deadline tracking

Document automation

Tools:

  • HotDocs (legacy, paid)
  • Docassemble (open-source)
  • A2J Author (open-source)
  • Form-Filler (open-source)

Virtual assistants

Working patterns:

  • Court navigation assistant
  • Form completion guidance
  • Deadline reminders
  • Resource directory

Document review

AI assists:

  • Pre-filing review
  • Procedural check
  • Citation verification

Acknowledgments

This article summarizes public sources including SelfHelp.gov, state court SRL studies, NCSC publications.

Dillon Deutsch has worked with self-help portal systems. https://courtgpt.ai

Top comments (0)