Courthouse intelligence for upstream land teams.
Land teams spend weeks pulling courthouse records, building runsheets in spreadsheets, and cross-referencing legal descriptions across disconnected systems. A single title opinion can require days of document retrieval, manual data entry, and chain-of-title reconstruction, driving cost, delay, and risk under tight transaction deadlines.
Faster underwriting. Fewer title defects at closing. Lower cost per deal.
NOW AVAILABLE -- EARLY ACCESS | General availability Q2 2026

Trusted by operators, non-op buyers, mineral aggregators, and A&D advisors across the upstream market.














County clerk indexes have gaps. Legal description fields vary by clerk and by day. Standard searches return partial results. Landmen end up manually augmenting every runsheet before it is usable.
Document retrieval, data entry, and chain-of-title reconstruction are all done by hand. A single title opinion can take days of this work before underwriting begins.
Courthouse data exists across 254 counties in Texas alone. It is unstructured and scattered. There is no single place to search, retrieve, and act on it without building your own process.
"Courthouse data exists. The problem is that it's unstructured and scattered across 254 counties in Texas alone. TitleLab makes that data usable. A landman can now build a comprehensive runsheet in hours instead of weeks, and see that data on a map next to production and well information. That changes the economics of how deals get done."
TitleLab aggregates county-level records and runs all documents through a model that extracts every legal description, party, dates, prior references, and other important clauses. Landmen no longer have to use unreliable index data.
Automatically classifies instruments, extracts all parties with their roles (grantor/grantee), parses legal descriptions, and captures lease provisions including royalty rates, terms, and severance clauses. Processes deeds, assignments, leases, liens, and probate documents.
Texas surveys and abstracts, PLSS coordinates, and platted properties -- structured and normalized into distinct property tracts. Each tract is georeferenced and linked to producing assets for immediate visualization of ownership coverage.
Smart Chain technology automatically builds runsheets by capturing documents with matching legal descriptions and pulling prior referenced instruments back through five degrees of separation, including legacy book/volume/page citations. Identifies gaps and flags potential defects.
Documents connect directly to API numbers, unit names, and lease names. Users move from ownership verification to economic analysis without switching systems, supporting screening, due diligence, closing, development planning, and ongoing portfolio management.

Talk to us about bringing TitleLab into your land workflow.
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Most providers build their index from the clerk-supplied CSV — a handful of fields per instrument, often only the first few parties on larger transactions. When a deed covers 75 tracts, legacy providers may capture four. Your runsheet is incomplete before you’ve started.
TitleLab processes the underlying document, not the clerk index. Every instrument runs through our extraction engine, which classifies the document type, captures every grantor and grantee with their transaction role, parses the full legal description, and extracts lease provisions including royalty rates, term lengths, and severance clauses. We extract two to three times the attributes legacy providers abstract, and every property element is structured, searchable, and mappable.
The Advanced Index is the structured data layer TitleLab builds on top of raw county records. A standard clerk index gives you a few fields — grantor, grantee, book/page, effective date. The Advanced Index surfaces the full extraction: instrument type, all parties with roles, normalized legal descriptions mapped to distinct tracts, lease provisions, prior instrument references, and direct links to API numbers and unit names.
Search by section, survey, abstract, or party name across the complete record set and get structured results back instead of a stack of documents to read manually.