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Until autumn 2021, Pôle emploi, as France Travail was then called, used TextKernel. This keyword software produced many false alerts. Pôle emploi then built LEGO, which checks offers against 23 criteria with deep neural networks for natural language processing. Both systems checked offers in parallel during 2021. In observations published on 8 January 2026, the Cour des comptes listed LEGO among AI uses that have proved effective. By the operator's figures, 93% of offers that LEGO flags are flagged correctly, against 65% with the old software. LEGO also cut the time that advisers spend on each flagged offer by about half. The Cour reports that advisers' checking work fell by the equivalent of 98 full-time posts. These figures come from France Travail, and the Cour did not measure them."}},"provenance":{"kind":"legacy_record","basis":"Editorial assignment.","record_fields":["summary","account"],"source_refs":[]},"review_state":"record_mapped","coverage":"partial"},"systems[].autonomy_permissions":{"state":"unresolved","provenance":{"kind":"curatorial","basis":"Editorial assignment.","record_fields":[],"source_refs":[]},"reason":"This is an explicit unresolved assignment: the sources on record do not settle this question.","review_state":"not_assessed","coverage":"partial"},"systems[].component_role":{"state":"unresolved","provenance":{"kind":"curatorial","basis":"Editorial assignment.","record_fields":[],"source_refs":[]},"reason":"This is an explicit unresolved assignment: the sources on record do not settle this question.","review_state":"not_assessed","coverage":"partial"},"systems[].deployment_configuration":{"state":"unresolved","provenance":{"kind":"curatorial","basis":"Editorial assignment.","record_fields":[],"source_refs":[]},"reason":"This is an explicit unresolved assignment: the sources on record do not settle this question.","review_state":"not_assessed","coverage":"partial"},"systems[].inputs_outputs":{"state":"unresolved","provenance":{"kind":"curatorial","basis":"Editorial assignment.","record_fields":[],"source_refs":[]},"reason":"This is an explicit unresolved assignment: the sources on record do not settle this question.","review_state":"not_assessed","coverage":"partial"},"systems[].model_name":{"state":"unresolved","provenance":{"kind":"curatorial","basis":"Editorial assignment.","record_fields":[],"source_refs":[]},"reason":"This is an explicit unresolved assignment: the sources on record do not settle this question.","review_state":"not_assessed","coverage":"partial"},"systems[].model_version":{"state":"unresolved","provenance":{"kind":"curatorial","basis":"Editorial assignment.","record_fields":[],"source_refs":[]},"reason":"This is an explicit unresolved assignment: the sources on record do not settle this question.","review_state":"not_assessed","coverage":"partial"},"systems[].product_name":{"state":"value_present","value":{"kind":"record_fields","fields":{"system":"LEGO (Légalité des offres), natural language processing with deep neural networks"}},"provenance":{"kind":"legacy_record","basis":"Editorial assignment.","record_fields":["system"],"source_refs":[]},"review_state":"record_mapped","coverage":"partial"},"systems[].provider":{"state":"unresolved","provenance":{"kind":"curatorial","basis":"Editorial assignment.","record_fields":[],"source_refs":[]},"reason":"This is an explicit unresolved assignment: the sources on record do not settle this question.","review_state":"not_assessed","coverage":"partial"},"taxonomy_crosswalks[]":{"state":"unresolved","provenance":{"kind":"curatorial","basis":"Editorial assignment.","record_fields":[],"source_refs":[]},"reason":"This is an explicit unresolved assignment: the sources on record do not settle this question.","review_state":"not_assessed","coverage":"partial"},"title":{"state":"value_present","value":{"kind":"record_fields","fields":{"title":"Cour des comptes finds that France Travail's LEGO model catches illegal job offers and cut checking work by the equivalent of 98 posts","headline":"*LEGO* flags illegal job offers before France Travail publishes them"}},"provenance":{"kind":"legacy_record","basis":"Editorial assignment.","record_fields":["title","headline"],"source_refs":[]},"review_state":"record_mapped","coverage":"partial"},"version":{"state":"value_present","value":{"kind":"identifiers","identifiers":["1a5c6c31bbf87bc5b0e8dfddd8e7b5b1a5a2e48012251974ba53e2d1a39bfe2f"],"role":"SHA-256 of the complete public record and its assessments"},"provenance":{"kind":"curatorial","basis":"SHA-256 of the public record, its assessments, and its displayed answers and notes, excluding its own identifier and the derived coverage summary.","record_fields":[],"source_refs":[]},"review_state":"record_mapped","coverage":"complete"},"workflow":{"state":"value_present","value":{"kind":"record_fields","fields":{"account":"France Travail checks every job offer for legality before it appears on francetravail.fr, and it published 2.7 million new offers in the fourth quarter of 2024. Until autumn 2021, Pôle emploi, as France Travail was then called, used TextKernel. This keyword software produced many false alerts. Pôle emploi then built LEGO, which checks offers against 23 criteria with deep neural networks for natural language processing. Both systems checked offers in parallel during 2021. In observations published on 8 January 2026, the Cour des comptes listed LEGO among AI uses that have proved effective. By the operator's figures, 93% of offers that LEGO flags are flagged correctly, against 65% with the old software. LEGO also cut the time that advisers spend on each flagged offer by about half. The Cour reports that advisers' checking work fell by the equivalent of 98 full-time posts. These figures come from France Travail, and the Cour did not measure them.","replication":{"produced_by":["The model checked each offer against 23 legality criteria before publication.","Business advisers handled the flagged offers each day by approving or rewording them."],"must_hold":["Advisers must review each flagged offer before it is published or changed."],"echoes":[]}}},"provenance":{"kind":"legacy_record","basis":"Editorial assignment.","record_fields":["account","replication"],"source_refs":[]},"review_state":"record_mapped","coverage":"partial"}},"summary":{"total":91,"addressed":91,"known":28,"reviewed":2,"reviewed_complete":2,"reviewed_partial":0,"record_mapped":26,"review_not_assessed":63,"not_assessed":0,"complete":false,"by_state":{"value_present":28,"not_reported":0,"unresolved":63,"not_assessed":0,"not_applicable":0,"withheld":0,"source_unavailable":0}}},"presentation_version":"09a46009ea150f86df96d85814ff1367935a25b82991854a282ff45cacd9a168"}