Crawlify continuously monitors the sources that change your legal exposure. Court dockets, published judgments, enforcement actions, sanctions and watchlists, and public corporate filings. The engine detects what changed, correlates it against your matters and monitored entities, and delivers the signal to your systems at 99.5% verified field accuracy — every record traceable to the filing it came from.
The Problem
A suit against a portfolio company, a supplier, or a counterparty starts as a single docket entry in one of hundreds of courts. Federal dockets, fifty state systems, and countless county e-filing portals each speak their own format. No one team can watch them all by hand, so the first signal usually arrives from a news alert or opposing counsel — long after the filing changed your exposure.
Sanctions lists, watchlists, and enforcement registries update constantly. A screen run at onboarding is a photograph, and a name added to a list the day after your check is a gap you can't see. Compliance teams need continuous monitoring against the current list, with a traceable record of exactly what matched and when — not a quarterly batch job and a spreadsheet.
In legal and compliance work, an unsourced signal is worthless. A regulator, an auditor, or a court will ask where a fact came from and when you knew it. Most monitoring tools hand you an alert with no defensible trail. If you can't show the source filing, the capture timestamp, and the exact field that changed, the alert can't go in the file.
The Data Product
Every docket entry, judgment, enforcement action, and list match carries the verifier ID, the timestamp, and the source filing URL. In legal work, the audit trail isn't a feature — it's what makes the alert usable at all.
New case filings, docket entries and updates, motions and orders, hearing schedules, party and counsel changes, case status and disposition, across federal and state court systems.
Provenance
Every matter signal ships with the source filing URL, the capture timestamp, the verifier ID, and the field-level checks. When a regulator, an auditor, or a court asks where the fact came from and when you knew it, the record answers — an alert without a trail can't go in the file.
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{
"matter_id": "MTR-2026-04412",
"monitored_entity": "Northbridge Logistics LLC",
"entity_type": "corporate_counterparty",
"jurisdiction": "US-NY",
"court": "S.D.N.Y.",
"signal_type": "new_docket_entry",
"signal_summary": "Complaint filed; breach of contract and fraud claims",
"docket_number": "1:26-cv-05531",
"filing_type": "complaint",
"filed_date": "2026-08-08",
"parties": {
"plaintiff": "Harborline Freight Inc.",
"defendant": "Northbridge Logistics LLC"
},
"correlated_signals": ["ofac_watchlist_no_match", "prior_enforcement_action_2024"],
"captured_at": "2026-08-11T07:41:55Z",
"verifier_id": "hv-6320",
"source_url": "https://ecf.nysd.uscourts.gov/doc/1-26-cv-05531",
"verified_fields": ["docket_number", "filing_type", "filed_date", "parties", "source_url"]
}Sources & Coverage
Who it's for
Continuous monitoring of new filings against your counterparties, portfolio companies, and monitored entities — federal, state, and county courts alike. A new suit or a case-status change reaches you the day it's filed, with the docket entry it came from.
Continuous screening against OFAC, EU, UN, and UK sanctions lists and PEP registries, not a point-in-time check. Every match is verified and audit-trailed, so a screening decision holds up when a regulator asks how it was made.
One monitored view of litigation, enforcement, and corporate-filing signals across your counterparties, suppliers, and portfolio. Escalating-risk signals correlated across sources so you see the pattern, not just the isolated alert.
Clean, verified case-law and docket data for your knowledge systems, with per-field provenance. Structured feeds for citation analysis, precedent tracking, and internal research tools. Front-line data engineering handled.
Monitor your vendors, suppliers, and counterparties for new litigation, enforcement actions, sanctions additions, and corporate-status changes. Continuous, not point-in-time, with an evidence trail for every flag.
How It Works
The engine continuously watches any web source you name. Portals, marketplaces, PDFs, filings, review sites, ad libraries. Configurable per industry, per source, per cadence. Durable workflows that survive failure and keep running.
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AI classifies every observed change. Price movement, new listings, structural change, sentiment shift, filings, launches. Every classification carries a confidence score. Low-confidence records route to human review. Verified accuracy runs at 99.5% at the field level, with verifier ID and timestamp on every record.
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Detected signals join your live data. Your CRM, your warehouse, other Crawlify streams. Cross-signal correlation surfaces composite events. A price drop plus a new ad campaign plus a PDP rewrite reads as one repositioning signal, not three unrelated alerts.
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Signals become actions. REST API, webhooks, warehouse writes, CRM updates, workflow triggers, Slack routing. On your schedule, in your systems, source-traceable end to end.
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How It Compares
| Capability | Westlawlegal research | LexisNexisresearch + risk | Bloomberg Lawresearch + dockets | Crawlify |
|---|---|---|---|---|
| Legal research depth (case law, treatises, citators) | Yes | Yes | Yes | Yes |
| Docket monitoring & alerts | Yes | Yes | Yes | Yes |
| Sanctions & watchlist monitoring | Partial | Yes | Limited | Yes |
| Cross-source correlation (docket + enforcement + sanctions on one entity) | No | Partial | No | Yes |
| Per-record provenance (verifier ID + timestamp + source filing) | Partial | Partial | Partial | 99.5% SLA |
| Delivery into your systems (matter mgmt, GRC, Snowflake, REST, webhooks) | Limited (platform-bound) | Limited (platform-bound) | Limited | Yes |
| Custom entity / matter watchlist monitoring | within platform | Yes | Yes | Yes |
| Corporate registry & filing signals | Partial | Yes | Partial | 99.5% SLA |
| Pricing shape | Enterprise seat-based | Enterprise seat-based | Enterprise seat-based | Scoped to sources and SKU set. Talk to us |
Use Cases
A company's in-house legal team monitored 800 counterparties and suppliers for new litigation across federal and state courts. Crawlify surfaced a fraud complaint filed against a key supplier in the S.D.N.Y. within a day of filing, with the docket entry and source URL attached. The team opened a risk review before the news cycle picked it up, and the signal went straight into the matter-management system with a defensible trail.
A financial-services compliance team ran continuous screening of 12,000 monitored entities against OFAC, EU, and UK lists, plus adverse-media monitoring. Crawlify delivered list additions and adverse hits with match confidence and source, replacing a quarterly batch check. Every flag carried the capture timestamp and the exact field that matched — audit-ready for the next regulator exam.
A law firm's knowledge team tracked new judgments and enforcement actions across three practice areas. Crawlify captured published opinions and agency enforcement releases with citation and source detail, feeding the firm's internal research system. Attorneys saw relevant new precedent and enforcement the day it landed, with every record traceable to the original filing.
Those are comprehensive legal-research platforms — case law, citators, treatises — and we don't replace them. Crawlify is a verified change-signal feed: new dockets, enforcement actions, sanctions additions, and corporate filings on your matters and monitored entities, correlated across sources and delivered into your own systems with per-record provenance. Use us alongside a research platform, not instead of one.
Working in litigation, compliance, in-house counsel, legal knowledge, or third-party risk? Talk to us about how the engine can be tuned to your matters, your monitored entities, and the jurisdictions that carry your exposure.
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Building a legal intelligence, GRC, or third-party-risk product and need verified docket, enforcement, and sanctions signals? Talk to us about a data partnership.
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