Claim LD04-SL-C10 (v1.0)
In a three-month randomized trial with 133 patent lawyers, AI assistance raised graded drafting quality by 0.38 standard deviations at 90 days; on a later task done without AI, treated seniors scored 0.45 standard deviations higher than control seniors, treated juniors no higher (−0.03), and the senior–junior difference was statistically significant.
Research opportunities this claim motivates
What this claim leaves open for research. Each is a hypothesis about a gap, not a finding.
- Do professionals trained with AI lose the skill without it a year later?After three months of AI-assisted patent drafting, seniors improved on an unaided task and juniors did not; the study has no baseline skill test and stops at three months.
- Does retained skill depend on how routine the task is and who is learning?In judgement-heavy patent drafting, three months of AI help improved unaided skill for seniors but not juniors: the expertise contrast within one task.
Provenance and status
- Claim type
- ESTIMATE (as printed: “ESTIMATE”)
- Publication status
- ELIGIBLE (INSTITUTIONAL_POSITION) (as printed: “ELIGIBLE WITH INSTITUTIONAL-POSITION QUALIFIER”)
- Verification state
- CONTENT_VERIFIED_PRIMARY (as printed: “CONTENT VERIFIED”; verified by: UNKNOWN)
- Does not license
- That AI erodes junior skill (juniors did not fall below controls); effects beyond three months; why the gap appears (the authors say the experiment does not answer why)
- Source (field 6, as printed)
- Autor, Rodchenko, Martin, Iscenko, Strand, Pearl & Ferere, “Does AI Assistance Enhance or Erode Expertise? Evidence from a Three-Month Field Experiment in Patent Drafting,” NBER Working Paper 35720, 2026
- Source type (field 7)
- WORKING_PAPER (as printed: “Academic working paper”)
- Institutional position
- Mixed
- Maturity (claim evidence / publication maturity)
- EMERGING (as printed: “EMERGING”)
- Recorded date
- 2026-10-14
- Currentness / correction
- This is the current version. No correction or concern relation is recorded on its Sources.
Version
Current version v1.0, resolved through the explicit current pointer CLAIM--LD04-SL-C10.
Pinned Sources (field 6, version-specific)
- “Autor, Rodchenko, Martin, Iscenko, Strand, Pearl & Ferere, “Does AI Assistance Enhance or Erode Expertise? Evidence from a Three-Month Field Experiment in Patent Drafting,” NBER Working Paper 35720, 2026” → SRC-SL-AUTOR-ET-AL-NBER-35720--v1.0 — Autor, Rodchenko, Martin, Iscenko, Strand, Pearl & Ferere, “Does AI Assistance Enhance or Erode Expertise? Evidence from a Three-Month Field Experiment in Patent Drafting,” NBER Working Paper 35720, 2026; class WORKING_PAPER (explicit public provenance pin)
All 25 canonical Claim fields (raw values and normalized values)
| # | Canonical field | Canonical value (verbatim) | Normalized (Claim Value Vocabulary v1.0.2) |
|---|---|---|---|
| 1 | CLAIM ID | LD04-SL-C10 | — |
| 2 | PUBLIC-FACING CLAIM | In a three-month randomized trial with 133 patent lawyers, AI assistance raised graded drafting quality by 0.38 standard deviations at 90 days; on a later task done without AI, treated seniors scored 0.45 standard deviations higher than control seniors, treated juniors no higher (−0.03), and the senior–junior difference was statistically significant. | — |
| 3 | CLAIM TYPE | ESTIMATE | base_types: ESTIMATE |
| 4 | RESEARCH STRAND | B — Skill after the tool is removed | — |
| 5 | MATURITY | EMERGING | states: EMERGING |
| 6 | SOURCE | Autor, Rodchenko, Martin, Iscenko, Strand, Pearl & Ferere, “Does AI Assistance Enhance or Erode Expertise? Evidence from a Three-Month Field Experiment in Patent Drafting,” NBER Working Paper 35720, 2026 | source_ids: SRC-SL-AUTOR-ET-AL-NBER-35720 |
| 7 | SOURCE TYPE | Academic working paper | classes: WORKING_PAPER |
| 8 | INSTITUTIONAL POSITION | Mixed | — |
| 9 | SCOPE | 133 patent lawyers at 11 US IP firms that all draft patents for Google; juniors have under seven years’ experience | — |
| 10 | DESIGN | Preregistered three-month randomized field experiment (2:1 treatment), stratified by firm and experience; blind grading by attorneys at an independent firm | — |
| 11 | SAMPLE / DATASET | 133 lawyers; 91 completed the final unaided redlining task | — |
| 12 | MODEL / TOOL / VERSION | Generative-AI drafting assistance (tool details not reported here) | — |
| 13 | COMPARATOR | Lawyers randomized to draft without AI | — |
| 14 | MAIN RESULT | With AI, +0.34 SD at 10 days and +0.38 SD at 90 days, from less weak work rather than more excellent work; unaided redlining at 90 days: treated +0.32 SD overall, seniors +0.45 SD, juniors −0.03 SD (SE 0.20); the senior effect is significantly larger (p = 0.04); treated juniors became more dispersed | — |
| 15 | INFERENTIAL TARGET | Whether three months of AI-assisted drafting changes unaided professional judgement, by experience | — |
| 16 | DOES NOT LICENSE | That AI erodes junior skill (juniors did not fall below controls); effects beyond three months; why the gap appears (the authors say the experiment does not answer why) | — |
| 17 | VERIFICATION STATE | CONTENT VERIFIED | state: CONTENT_VERIFIED_PRIMARY · verified_by: UNKNOWN |
| 18 | LIMITATIONS | Not peer reviewed; small junior subgroup; attrition of 21–32% across tasks, not differential by treatment; no baseline skill test; AI non-use during the unaided task not directly observed; conflict of interest: the study was conducted by Google, six of seven authors are Google employees, Google paid direct costs and all firms draft for Google; checked against the version dated 7 October 2026 | — |
| 19 | CONTRADICTORY / SUPPORTING SOURCES | Fits compression while assisted but widening in retained skill; contrasts with retained gains in routine customer support | — |
| 20 | GEOGRAPHY / LANGUAGE | US / English | — |
| 21 | DISTRIBUTIONAL LEDGER | Seniors convert assisted practice into unaided skill; juniors split between improving and falling behind | — |
| 22 | R01 / FIELD-MAP LINKS | LD-04, D2, D3 | — |
| 23 | WHAT WOULD CHANGE THIS CLAIM? | Peer review, an independent replication, or a longer follow-up with a baseline skill test | — |
| 24 | PUBLICATION STATUS | ELIGIBLE WITH INSTITUTIONAL-POSITION QUALIFIER | state: ELIGIBLE · qualifiers: INSTITUTIONAL_POSITION |
| 25 | RECORDED DATE | 2026-10-14 | — |
Field 22 references resolved against Field Map v0.2: LD-04 (LIVING_DEBATE); D2 (DOMAIN); D3 (DOMAIN)
Cited by Living Debate versions
Research-of-record provenance
Materialized by sociolens-materializer 0.6.0 at 2026-09-28T20:00:00.000Z; normalization contract SocioLens — Claim Value Vocabulary v1.0.2 — Pre-Spike Materialization Contract (v1.0.2). Content seal SHA-256 0f5223206c3657b2f2f9d041ac4f439e75cf49448a6033139f9eda30d8031214.
Repository-authored inputs (not Drive exports)
- SocioLens claim — LD04-SL-C10 v1.0 (v1.0) — written in the SocioLens repository by Project Lead (Claude, AI) on 2026-10-14; no Drive identity exists. Authority: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 14 October 2026 to build the LD-04 debate; a new Claim, first version, written from the project's LD-04 source notes, checked against full texts or official abstracts. Block “ENTRY 10 — LD04-SL-C10” SHA-256
af46745035e29c81d81ef619570afc851173c6a6eca45e6100be2fb4c6660960; fixturefixtures/authored/claims/LD04-SL-C10--v1.0.
Builder decisions (not Drive data)
- VERSION = v1.0 — basis: Claim version taken from the repository-authored claim fixture version (SocioLens claim — LD04-SL-C10 v1.0); the first version of a new Claim of the LD-04 debate
- CURRENT_POINTER = true — basis: repository-authored claim "SocioLens claim — LD04-SL-C10 v1.0" (Project Lead (Claude, AI), 2026-10-14); basis: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 14 October 2026 to build the LD-04 debate; a new Claim, first version, written from the project's LD-04 source notes, checked against full texts or official abstracts
- FIELD_6_SOURCE_REFERENCE = SRC-SL-AUTOR-ET-AL-NBER-35720--v1.0 — basis: field 6 of ENTRY 10 — LD04-SL-C10 cites "Autor, Rodchenko, Martin, Iscenko, Strand, Pearl & Ferere, “Does AI Assistance Enhance or Erode Expertise? Evidence from a Three-Month Field Experiment in Patent Drafting,” NBER Working Paper 35720, 2026"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
- SOURCE_PROVENANCE_PIN = SRC-SL-AUTOR-ET-AL-NBER-35720--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Autor, Rodchenko, Martin, Iscenko, Strand, Pearl & Ferere, “Does AI Assistance Enhance or Erode Expertise? Evidence from a Three-Month Field Experiment in Patent Drafting,” NBER Working Paper 35720, 2026".