Kelvin Intelligence.

AI-enriched legal market data built for integration, not browsing. 287K+ attorney profiles with entity resolution, activity-based practice classifications, federal court case tracking, and continuous updates from authoritative public sources.

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45K+

Organizations

287K+

Legal Professionals

1.2M+

Practice Area Tags

522K+

Court & Bar Admissions

106K+

Federal Court Cases

327K+

SEC Filings Analyzed

Enrichment Depth

99% Biography Coverage. Not a Typical Directory.

Most legal data products give you a name, a firm, and a city. KLI gives you structured, multi-field profiles across 10 data dimensions plus federal court case tracking with AI-powered practice area and party-counsel classification. 99% of records include a parsed biography. 92.5% have practice area classifications. 87% have education history.

Every field is extracted, normalized, and linked. Admissions connect to jurisdictions across state bars, federal courts, and international bodies. Education records connect to institutions. Practice areas connect to actual filings and deal activity. The result is a dataset you can query, filter, and join against your own data.

Structured, not scraped

Each profile is processed through an AI enrichment pipeline that extracts typed fields from unstructured sources. No raw HTML dumps or unresolved text blobs.

Normalized across sources

State bar records, federal court admissions, firm websites, SEC filings, and court records all resolve to the same canonical entity. One attorney, one record, regardless of how many sources mention them.

188K+ verified emails

Validated professional contact data, continuously updated as attorneys change firms. Not harvested from purchased lists.

Market Coverage

The Full Market, Not Just the AmLaw 200

Your competitors, lateral targets, and referral partners don't all sit in the top 100. KLI tracks 26,000+ firms across every size tier. 47 global firms account for 82K attorneys, but 18,000+ smaller firms employ 165K more.

That coverage matters. Regional boutiques win work from national firms. Mid-market firms are the most active lateral hiring market. If your data only covers the top of the pyramid, you are making decisions with half the picture.

Every tier represented

Solo practitioners through 3,000+ attorney global platforms. Same data schema, same enrichment depth, same entity resolution at every level.

Firmographic data included

Office counts, headcount by practice area, tracked domains, and organization type (law firm, corporation, government, bar association, court) for every entity.

Classification Quality

Activity-Based, Not Self-Reported

Traditional directories classify attorneys by what they claim on their website. KLI classifies them by what they actually do: court filings, SEC disclosures, published work, and deal records. The difference is significant.

With 1.2M+ practice area tags derived from observed activity, you can answer questions that self-reported data cannot: which firms have actual depth at the intersection of M&A and capital markets, not just attorneys who list both on their bio page.

Cross-practice intersections

5,924 attorneys tagged for both M&A and Private Equity based on deal activity. Practice area combinations reveal true specialization that single-tag directories miss.

Derived from the record

Tags are computed from court filings, SEC disclosures, patent records, and publications. When the underlying activity changes, the classification updates.

Entity Resolution

One Attorney, One Record, Across All Sources

The hardest problem in legal market data is entity resolution. "Smith & Jones LLP," "Smith Jones," and "S&J Legal" might all be the same firm. An attorney admitted in three states appears in three bar databases with different formatting. Most data vendors pass this problem to you.

KLI resolves it. Our pipeline combines deterministic matching rules with learned models trained on legal entity data, achieving resolution accuracy that exceeds what any single source provides. 522K+ admissions across state bars (57%), federal courts (40%), and international jurisdictions (3%) are linked to canonical professional records.

Cross-source deduplication

Bar records, firm websites, SEC filings, and court records all resolve to canonical entities. No duplicate records, no orphaned references.

Confidence scoring

Every match carries a confidence score. You decide the threshold for your use case, whether that is high-precision recruiting or broad market analysis.

Data Dimensions

Structured Records, Not Flat Files

79% of KLI professionals have four or more data dimensions filled. 44% have five of six complete. Each record is a structured, relational object with typed fields, not a row in a spreadsheet with free-text columns.

That structure is what makes the data usable for analytics, scoring models, and agentic AI workflows. You can join attorney education data against firm practice areas, filter by admission date and jurisdiction type, or compute derived metrics without manual cleanup.

Six core dimensions per profile

Email, education, court and bar admissions, practice areas, biography, and photo. Each is a structured, typed field with its own extraction and validation pipeline.

Built for integration

Clean JSON schemas with consistent field types. No parsing HTML, no regex on free-text fields, no manual normalization. Ingest directly into your data warehouse or application.

Unique Sources

SEC Filings: Data Your Current Vendor Doesn't Have

SEC filings disclose counsel relationships that no directory captures: which firms represent which issuers, in which transaction types, and how frequently. This data is public but locked inside unstructured documents that most vendors ignore.

KLI extracts and resolves it at scale. 53K+ law firm mentions matched to organization records at 88% resolution across 327K+ filings. You can track which firms are gaining IPO counsel market share, which are losing M&A mandates, and how deal counsel relationships shift over time.

8.8M+ EDGAR documents indexed

Coverage across 8-K material events, S-1 IPOs, S-4 mergers, proxy statements, annual reports, and more. AI extraction identifies firm names and attorney names even in inconsistent formatting.

88% entity resolution rate

Firm mentions in filings automatically match to KLI organization records. "Skadden Arps" in one filing and "Skadden, Arps, Slate, Meagher & Flom LLP" in another resolve to the same entity.

Litigation Intelligence

Federal Court Filings: Who Represents Whom

Every federal court case tells you which law firms are active, which industries they serve, and whether they represent plaintiffs or defendants. KLI continuously syncs case data from across all federal courts, then uses AI to classify practice areas, identify party-counsel relationships, and detect case characteristics.

The result is structured litigation intelligence you can query: which firms handle defense-side patent work in Delaware, which firms represent pharmaceutical companies in product liability cases, which attorneys appear most frequently in securities litigation.

106K+ federal court cases tracked

Daily sync across all federal district, appellate, and bankruptcy courts. AI-enriched with practice area classification, industry tagging, and party-counsel linkage. 1.5M+ attorney identifiers and 750K+ representation records extracted from PACER docket sheets.

Firm role identification

For each case, KLI identifies which firms represent plaintiffs and which represent defendants — critical intelligence for competitive analysis and business development.

Temporal Data

Career Trajectories, Not Static Snapshots

Most legal directories give you a point-in-time snapshot that starts aging the day it's published. KLI tracks change over time: when attorneys move firms, when they gain new court or bar admissions, when their practice focus shifts.

This temporal dimension is what makes KLI useful for recruiting and competitive intelligence. The mid-career cohort (6–16 years) is the most active lateral market, with 20,341 tracked professionals. You can identify movement patterns before they show up in press releases.

Continuous pipeline, not annual refresh

Source data is monitored continuously. When a bar record updates, a firm website changes, or a new SEC filing names counsel, KLI reflects it without waiting for a quarterly release cycle.

Change detection built in

Track firm changes, new admissions, practice area shifts, and organizational events as they become visible in public records. Historical data preserved for trend analysis.

Use Cases

Intelligence That Drives Decisions

Kelvin Intelligence serves teams across law firms, legal departments, legal service providers, and legal technology companies.

Outside Counsel Selection

Filter by practice area, jurisdiction, firm size, and track record. Build shortlists from data, not reputation and RFP responses.

Competitive Intelligence

Track lateral hires, practice area expansion, and headcount changes across competitor firms. See market shifts as they happen, not quarters later.

Recruiting & Lateral Hiring

Source candidates by specialization, seniority, jurisdiction admissions, and career trajectory. Identify talent movement patterns before they hit the open market.

Market Sizing & Analysis

Quantify practice area density, geographic concentration, firm size distributions, and market share. Ground strategy in data, not anecdote.

Business Development

Identify prospects by practice alignment, organizational fit, and relationship proximity. Target outreach based on data, not cold lists.

Agentic AI Workflows

Feed structured legal market data directly into AI agent pipelines. Clean schemas, typed fields, and comprehensive API coverage designed for machine consumption.

Delivery

Built for Integration, Not Browsing

KLI is not a web portal you log into. It is a data product designed for programmatic access and integration into your existing tools, workflows, and data infrastructure.

RESTful API with 86+ endpoints

Entity search, profile retrieval, relationship queries, and analytical endpoints. Consistent JSON schemas, comprehensive documentation, and rate limits designed for production use.

Bulk data feeds

Scheduled exports in JSON, CSV, or Parquet delivered to your data warehouse or cloud storage. Filter by entity type, jurisdiction, practice area, or firm tier. Configure update frequency to match your needs.

Custom research

For specific analytical needs — market entry studies, competitive benchmarking, lateral market analyses — our team produces custom deliverables that combine KLI data with expert interpretation.

Kelvin Intelligence API

GET /v1/professionals/{id} 200 OK

{
  "id": "pro_8f3a2b1c",
  "name": {
    "first": "Sarah",
    "last": "Chen",
    "suffix": null
  },
  "organization": {
    "id": "org_4d7e9f2a",
    "name": "Meridian & Associates LLP",
    "size_tier": "mid_large"
  },
  "practice_areas": [
    { "tag": "M&A", "source": "sec_filing", "confidence": 0.97 },
    { "tag": "Capital Markets", "source": "sec_filing", "confidence": 0.94 },
    { "tag": "Securities", "source": "biography", "confidence": 0.91 }
  ],
  "admissions": [
    { "jurisdiction": "New York", "type": "state_bar", "year": 2012 },
    { "jurisdiction": "S.D.N.Y.", "type": "federal_court", "year": 2013 }
  ],
  "education": [
    { "institution": "Columbia Law School", "degree": "J.D.", "year": 2011 }
  ],
  "email_verified": true,
  "profile_depth": 6,
  "last_updated": "2026-03-07T14:32:00Z"
}

Data Pipeline

How KLI Is Built

KLI is not a database assembled by manual researchers. It is a modern data pipeline that uses AI at every stage, from source monitoring through entity resolution to enrichment and quality assurance.

Authoritative Sources

State bar databases, federal court filing systems (PACER/RECAP), SEC/EDGAR, patent office records, and organizational websites. Every source is public and authoritative. No scraping of proprietary databases or purchased contact lists.

AI Extraction & Resolution

NLP models extract structured fields from unstructured sources. Entity resolution pipelines match, merge, and deduplicate records across sources. Confidence scores accompany every derived attribute.

Continuous Monitoring

Source data is monitored on an ongoing basis. Changes propagate through the pipeline automatically. No quarterly release cycles, no manual update batches. When the source data changes, KLI reflects it.

Get Started

See the Data for Yourself

We will walk you through coverage for your specific market, show you the schema and API, and discuss how KLI fits into your data infrastructure. Demos are typically 30 minutes.