Contract Abstraction at Machine Speed
Contract abstraction is the process of reading a full agreement and extracting its essential terms into a structured summary: parties, effective date, term, renewal conditions, termination rights, financial obligations, indemnification scope, governing law, and any special provisions. Done manually, this is skilled legal work that requires reading comprehension, domain knowledge, and attention to detail.
EezyAutomation approaches abstraction differently than template-based document extraction tools. Rather than requiring a fixed template for each contract type, the engine uses fuzzy-logic field detection trained on tens of thousands of commercial agreements. It recognizes clause patterns — not just keywords — across varying drafting styles, clause numbering schemes, and document structures.
The practical effect is that EezyAutomation abstracts a 50-page commercial lease in under 60 seconds. The output is a structured JSON or CSV record containing every field your abstraction template defines: base rent, CAM obligations, escalation schedules, option periods, tenant improvement allowances, insurance requirements, default triggers, and cure periods. Each field carries a confidence score so your team knows exactly which extractions to review and which to trust.
For legal departments managing portfolios of 500+ agreements, the productivity gain is transformative. Instead of a team of paralegals spending weeks on quarterly abstraction sprints, the engine processes the entire portfolio overnight. The legal team reviews exceptions the next morning and redirects their expertise toward negotiation strategy, risk assessment, and business counsel — the work that actually requires a law degree.
At $10 per standard contract and $15 per lease, EezyAutomation costs less than 15 minutes of paralegal time. For organizations abstracting at scale, the savings compound rapidly and the consistency of machine extraction eliminates the variability that makes portfolio analysis unreliable.
Lease Abstraction: CAM, Escalation, and Termination Clauses
Commercial lease abstraction presents unique challenges because leases contain financially complex provisions that interact with each other. A base rent clause is straightforward; a CAM reconciliation clause with a gross-up provision, an administrative fee cap, and a capital expenditure exclusion list is not. Template-based extraction tools fail here because the same economic concept — common area maintenance obligations — is drafted in hundreds of different ways across landlords, markets, and vintage years.
EezyAutomation's lease parsing module is purpose-built for this complexity. The engine identifies CAM provisions and extracts not just the headline obligation but the modifiers: base year, gross-up methodology, controllable expense caps, capital exclusion thresholds, and audit rights. For escalation clauses, it captures the escalation type (fixed percentage, CPI-indexed, market reset), the trigger dates, and any caps or floors.
Termination clauses receive special attention because they represent the highest-value data in a lease abstraction. The engine extracts early termination rights, kick-out clauses tied to sales thresholds, co-tenancy requirements, and landlord recapture rights. Each termination provision is tagged with its trigger condition, notice period, and financial penalty so your real estate team can build a decision calendar that surfaces termination windows months before the deadline.
The output integrates directly with lease administration systems. Whether your team uses Excel, a dedicated lease management platform, or needs ASC 842 compliance data for your accounting team, EezyAutomation delivers structured data in the format your downstream systems require. For multi-location tenants managing 100+ leases, this means a single abstraction run produces a portfolio-wide view of upcoming expirations, renewal options, and financial obligations that would take a team of analysts weeks to compile manually.
Lease abstraction pricing is $15 per document, regardless of page count or clause complexity. A 5-page office lease and a 120-page ground lease with 30 exhibits cost the same $15.
Building Custom Mapping Tables for Your Document Types
Every organization has document types that are unique to its industry, geography, or internal processes. A franchise agreement is not the same as a vendor contract. A ground lease is not the same as a sublease. A government contract with FAR clauses is not the same as a commercial services agreement. Generic abstraction tools handle these variations poorly because they rely on one-size-fits-all extraction models.
EezyAutomation's mapping table system gives you control over exactly what fields are extracted and how they are labeled in the output. A mapping table defines the fields you care about for a specific document type, the synonyms the parser should recognize for each field, the expected data type (date, currency, text, percentage), and the output column or JSON path where the extracted value should land.
Building a mapping table is a configuration task, not a development project. You define your fields in a spreadsheet-style interface, provide a few sample documents, and the engine calibrates its extraction model. For a new contract type, initial mapping table setup takes 30-60 minutes. Once configured, the table handles all future documents of that type without modification.
The mapping table system also supports hierarchical extraction. For contracts with schedules, exhibits, or amendment chains, you can define parent-child relationships between extracted fields. The engine tracks which exhibit a specific dollar amount came from, which amendment modified a particular clause, and which version of a schedule is currently in effect.
This configurability is what separates EezyAutomation from both manual abstraction services and rigid AI tools. You get the consistency of machine extraction with the flexibility to define exactly what 'abstraction' means for your organization. When your document types evolve — new clause language, new regulatory requirements, new internal fields — you update the mapping table. No vendor engagement, no professional services fees, no waiting for a product update.
