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Good practice Imported

South Korea's AI Labor Law Counselling — One-Stop Wage Complaints via the Daangn Marketplace App

South Korea · Seoul · See the South Korea profile · See the Seoul profile

Evidence: Observational / pre–post Top 74% 47/100 · Ask Evidence Copilot about this practice

MOEL's AI labour-law chatbot, embedded in Korea's popular Daangn part-time job app, turns a worker's counselling chat straight into an auto-drafted wage complaint filed to the Labor Portal. Daily usage grew 85.7% after the integration.

117,000 consultations
Cumulative consultations, 2025 (2025)
85.7% increase (251 to 466 queries/day)
Daily use growth after Daangn integration (2025-2026)
>1,000 queries/day
Daily queries by January 2026 (January 2026)
87.5% cut vs manual search
Reduction in time to find labour-law information (2025-2026)
37.7% of use
Use during evenings/weekends (2025-2026)
6.8% of queries
Queries in foreign languages (2025-2026)
173 attorneys
Licensed labour attorneys backing the AI (2025-2026)
800.8 million won ≈US$560,000
2026 programme budget (2026)
31 to 38 counselling areas
Counselling areas expansion (2026)
South Korea's AI Labor Law Counselling — One-Stop Wage Complaints via the Daangn Marketplace App

Details

Maturity
Scaling
Promoter
Ministry of Employment and Labor (MOEL), with Daangn (Karrot) and the Korean Public Certified Labor Consultant Association
Period
September 2025 – April 2026
Keywords
labour law, digital government, legal aid, compliance & enforcement

Context

South Korea's Ministry of Employment and Labor (MOEL) unveiled its "AI Labor Law Counselling" service at the Government Administration AI Transformation Summit in September 2025, then embedded a link to it inside Daangn Alba, the part-time-job section of Daangn (Karrot), Korea's leading local-marketplace app, putting government legal counselling in front of a mainstream gig-economy audience rather than requiring a visit to a government portal.

Objectives

When a worker's AI conversation about wages, working hours or unemployment benefits indicates a possible violation, the system auto-drafts a formal complaint (진정서) from that same conversation and feeds it directly into the Labor Portal's case-intake screen, so the worker does not have to re-enter or re-explain their situation for the human inspection process; complaints are auto-classified into 28 handling templates to route them to the right inspector.

Activities

173 licensed labour attorneys, made available through a partnership with the Korean Public Certified Labor Consultant Association, back up the AI on complex cases; an 800.8-million-won (about US$560,000) budget for 2026 funds an expansion from 31 to 38 counselling areas — adding workplace harassment and employment-permit-system cases — plus new document analysis of employment contracts and pay slips.

Results

MOEL reports cumulative usage of 117,000 consultations in 2025, with daily use rising 85.7% (from 251 to 466 queries a day) after the Daangn integration and passing 1,000 queries a day by January 2026. The ministry also reports an 87.5% cut in the time workers need to find relevant labour-law information compared with manual search, with 37.7% of use occurring evenings or weekends when human counselling is unavailable, and 6.8% of queries in foreign languages — including Russian, Burmese and Uzbek — pointing to reach among migrant workers.

Conclusions

As of the April 2026 announcement, the integrated one-stop filing flow is newly launched and limited to a single private-platform partnership; no independent audit of the AI's legal-advice accuracy or of downstream complaint-resolution outcomes has yet been published.

Implementation

Indicative cost
Medium (€50k–€500k) — 800.8 million won (approximately US$560,000) budgeted for 2026 to expand counselling areas and add document analysis; banded medium.
Time to results
Short (< 1 year) — Unveiled September 2025, with the Daangn one-stop filing integration announced April 2026; banded short given under one year of operating history.
Staffing & skills
173 licensed labour attorneys via the Korean Public Certified Labor Consultant Association backing the AI on complex cases

Conditions for success

  • Embedding the service inside a mainstream consumer app (Daangn/Karrot) rather than requiring a visit to a government portal
  • Auto-classification into 28 handling templates to route complaints to the right inspector
  • Dedicated multi-year budget funding phased expansion of counselling areas

Common failure modes

  • No independent audit of the AI's legal-advice accuracy has yet been published
  • Downstream complaint-resolution outcomes are not yet tracked or reported
  • Currently limited to a single private-platform partnership (Daangn), so generalisability to other channels is untested

Where it fits

Governance type
national labour ministry with private-platform and professional-association partnerships
Scale
national, embedded in a leading consumer app
Income level
high-income

Commonly funded by

National / regional programmes

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Data sources

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