Legacy claim assessment · corrected
Issuer annual report supports historical initial implementation, not current Scaled status or realized elimination of 360,000 staff hours.
Assessed Nov 8, 2026. This verdict is separate from deployment evidence and measured outcomes.
Catalog record · Operations & Efficiency
Stage as of source date not established · historical report, not live reconfirmation.
COiN (Contract Intelligence)
Primary workflow source. A named organization's workflow supported by a reviewed primary source. Stage is reported separately; this label does not establish measured outcomes or independent validation.
Last researched Nov 8, 2026. Source access and reported stage are recorded below; deployment evidence does not establish ROI.
What the research supports
JPMorgan Chase's initial COiN implementation used unsupervised machine learning to extract attributes and clauses from commercial credit agreements. Its 2016 annual report compares this capability with the corresponding manual-review workload.
Original catalog wording · COiN (Contract Intelligence)
An NLP-powered system that reviews and interprets commercial loan agreements and other legal documents. COiN processes in seconds what previously took legal staff approximately 360,000 hours of work annually, extracting key data points from complex contracts.
Archived maturity label: Scaled. Retained as original wording, not a current deployment assertion.
Original catalog sourceabajournal.com · opens in a new tabAudited correction: Source-bound legacy adjudication. Issuer annual report supports historical initial implementation, not current Scaled status or realized elimination of 360,000 staff hours. Original catalog wording is archived; unsupported historical impact ratings, generated summaries and unestablished announcement dates are cleared. Updated fields: title, description, summary, categoryId, maturity, aiTechnology, businessFunction, impact, sourceUrl, sourceType, announcedDate.
- Reported stage
- Production
- Technology
- Machine Learning / NLP
- Business function
- Back Office
- Impact (legacy label)
- Not labeled
- Catalog date · unconfirmed
- Not reported
- Imported
- Mar 13, 2026
- Last researched
- Nov 8, 2026
Measures & evidence
up to · 360000 · hours per year
Manual-review workload comparator
Annual workload described in 2016 annual report
Scope, baseline & source
- Scope / denominator
- 12,000 annual commercial credit agreements; extraction of 150 relevant attributes
- Baseline
- Not disclosed in this account
- Claim basis
- JPMorgan Chase issuer report
Capability/workload comparison, not measured hours eliminated or realized financial savings; exact implementation date and evaluation method absent.
Read claim source ↗Measures retain their original currency, scope and period. Capacity, adoption and forecasts are not realized cash savings.
Documented vendor relationships
No vendor relationship has been linked to this specific workflow in the curated overlay. This does not mean it was built without vendors.
See the company’s documented relationshipsDeployment evidence & limits
Issuer annual report supports historical initial implementation, not current Scaled status or realized elimination of 360,000 staff hours. Status date not established.
Stage is as reported in the cited evidence. Current operating status has not been independently reconfirmed; the research date is an editorial review date.
Exact publication day, original go-live date and current operation in 2026 are not established.
Source register
- Matt Zames — Annual Report 2016reports.jpmorganchase.com · opens in a new tab
JPMorgan Chase · issuer · full-text · Publication date not recorded
Research lanes: legacy-2 · Batch research-refresh-2026-11-08. Coverage and remaining gaps