Trullion vs custom lease-data extraction for CRE accounting

The choice between Trullion and a custom lease-data extraction pipeline is not really a choice between two tools. It is a choice about what your lease numbers have to survive. If they have to survive an audit — feed compliant journal entries, disclosures, and a control-tested trail back to the source lease — then you are shopping for an accounting platform, and Trullion is a serious candidate. If they just have to be usable inside your own underwriting model, rent roll, or investor report, you are shopping for extraction, and a custom pipeline or even the assistant you already pay for can be the cheaper, better answer. Most guides that rank for this comparison were written by vendors, so they all conclude the same way. This one sorts the decision around the one variable that actually decides it for a 4–20 person firm.

The real question: compliant output vs. usable data

There are two different jobs hiding inside the phrase “lease-data extraction,” and confusing them is the most expensive mistake in this decision.

The first job is lease abstraction — pulling the terms that matter (parties, premises, base rent, escalations, term and options, CAM and operating-expense treatment) out of a lease into a structured summary you can drop into a model or a rent roll. The second job is lease accounting — turning those terms into standard-compliant numbers: right-of-use assets and lease liabilities under ASC 842 or IFRS 16, the amortization and interest schedules behind them, the disclosures, and a defensible trail an auditor can test.

Extraction is a step inside accounting, but accounting is the far bigger job. Trullion is built for the second; a custom pipeline, by default, does the first. Decide which job is actually yours before you compare a single feature.

What Trullion actually is — and what it isn’t

Trullion is an AI-native accounting platform, and lease accounting is one of its core products, alongside revenue recognition and audit workflows. Its public materials describe the same architecture across those products: its AI extracts data from source documents and links every extracted value back to the exact place in the source — so a number in a schedule traces to a clause in the lease. That source-linking is the product’s center of gravity.

For lease accounting, that means the platform is designed to take an executed lease, pull the economic terms, and produce the compliance output an accounting team needs: journal entries, amortization and roll-forward schedules, and disclosures aligned to ASC 842, IFRS 16, and GASB 87, with the audit trail attached. It integrates with accounting systems and ERPs — its materials reference connections to platforms such as NetSuite, Sage Intacct, and QuickBooks — and it supports an auditor-collaboration workflow, which tells you who the product is really for: controllers, CFOs, and the auditors who sign off on their numbers.

What Trullion is not is a deal-side underwriting tool. It is not built to feed a broker’s rent comp analysis or an acquisitions team’s cash-flow model; those are abstraction jobs a general assistant handles. Because proptech feature sets change every quarter, treat every specific claim here as a starting point and confirm it on Trullion’s current documentation and in a demo with your own leases. The category it competes in — lease-accounting software with AI extraction — also includes FinQuery (formerly LeaseQuery), Visual Lease, EZLease, and Occupier; if you conclude you need a platform, price at least two.

What “custom lease-data extraction” actually means

A custom pipeline is a small system built for one firm’s repeating job: an AI model wired to your own extraction schema, pulling defined fields out of each lease into a destination you control — a database, a rent roll, an underwriting template, or a spreadsheet. You define the fields, the output format, and where the data lands. It is not a product you buy; it is a build you commission or assemble.

The honest version of “custom” for a small firm sits on a spectrum. At the light end, it is a saved, carefully engineered prompt run through a business-tier assistant (ChatGPT, Claude, or Microsoft Copilot) with a human verification pass — barely a build at all, close to free, and enough for low volume. At the heavy end, it is a bespoke pipeline with a defined schema, validation logic, and a direct write into your system of record — a real project.

The critical point: a custom pipeline extracts data. It does not, on its own, produce accounting. The journal entries, the standard-compliant treatment, the disclosures, and the auditable trail are things you would have to design, build, and maintain on top of the extraction — or hand the extracted data to an accountant who does that work in their own system. That gap is the whole comparison. We work through the broader build-versus-buy trade-off for document workflows in our guide to turning lease stacks into structured data.

Where Trullion wins

A platform earns its price when your output has to be compliant, controlled, and audit-ready — and a small firm should be honest that this describes some of them, not all.

• You produce standard-compliant lease accounting. If your firm carries corporate leases as a lessee, or reports at the fund or entity level under ASC 842 or IFRS 16, you need journal entries, schedules, and disclosures that tie out. Building that correctly in-house is an accounting-software problem, not a prompt.
• You get audited. When an external auditor tests your lease numbers, source-linked data and a version-controlled trail turn a painful sampling exercise into a walkthrough. That is precisely what the platform sells.
• The data has to live in a system, not a document. Amendments, renewals, and modifications re-flow through the accounting automatically. A one-time extraction cannot maintain that state.
• You want the vendor to own maintenance. Standards interpretations, edge cases, and integration upkeep are the vendor’s problem, not a contractor you have to re-hire.

If two or more of these are true, a custom extraction is the wrong tool, and the comparison is really between accounting platforms. For how a lean firm decides when off-the-shelf software is the right call, see our manifesto on how small CRE shops out-operate bigger ones.

Where a custom pipeline wins

Extraction beats a platform when you need the data, not the accounting — and for many small CRE firms, that is the real situation.

• You are a landlord, not a corporate tenant. Most 4–20 person CRE firms are lessors. Lessor accounting under ASC 842 is generally simpler than the lessee side, and much of the heavy compliance machinery a platform automates is machinery you may not need.
• Your compliance already lives elsewhere. If an outside accountant, fund administrator, or property manager produces your financial statements, you may only need clean lease data to hand them — not a second accounting system that duplicates theirs.
• The data feeds deals, not disclosures. Rent comps, underwriting models, abstract-and-review for acquisitions, and investor reporting are extraction jobs. A saved prompt or a light pipeline puts terms into your template at a fraction of a platform’s cost.
• Your output format is unusual. If your reporting template matches no product’s data model, a build shaped to your format can beat forcing your process into a platform’s.

The catch is that “custom” only stays cheap at the light end. The moment you start rebuilding compliance logic, source-linking, and controls to match what a platform does natively, you are re-buying Trullion badly. We break down when a tailored template beats an off-the-shelf tool in our look at LOI drafting automation, off-the-shelf tools versus a custom template engine.

The audit trail is the deciding factor

If you remember one thing, remember this: the extraction is the easy part; the audit trail is what you are actually buying or building.

A modern language model can pull lease terms with high accuracy on standard, digitally native documents — that capability is close to commoditized, and a custom pipeline can match a platform on raw extraction. What a platform gives you that a bare pipeline does not is the apparatus around the number: each value linked to its source clause, a version history when an amendment changes it, the compliance treatment applied consistently, and a trail an auditor can test without taking your word for it.

Reproducing that apparatus is most of the real cost of “going custom.” It is straightforward to extract a rent schedule. It is a genuine engineering and accounting project to make that schedule reproducible, controlled, source-linked, and defensible under audit. So the decision rule is blunt: if your lease numbers have to survive an audit, buy the trail. If they only have to be right enough to underwrite a deal, extract the data and skip the platform. For where general assistants and purpose-built document tools each break down on legal-grade review, see our comparison of legal-grade contract AI versus CRE-focused document tools.

What each option actually costs

Cost splits cleanly by how much of the accounting apparatus you need, and the useful comparison is always the analyst and accountant hours you spend today.

• Light custom (assistant + saved prompt + verification): roughly $20–30 per user per month on a business tier you may already pay for, plus your own review time. Covers low-volume extraction into a spreadsheet or model.
• Trullion and peer lease-accounting platforms: priced by portfolio, entities, and modules — quote-based rather than a public rate card, and generally landing in annual subscriptions from the four figures into the five figures a year for a small firm. Confirm directly, because vendors quote against your specific footprint.
• Heavy custom pipeline: a project cost in the roughly $25K–150K range depending on schema complexity and how deep the integration and validation go, plus ongoing maintenance — justified only above a clear volume threshold, and rarely worth it if you also have to rebuild compliance output.

The math that matters is not platform price versus build price in the abstract. It is: what does the compliant, audited output cost me today in accountant and analyst hours, and which option removes the most of that for the least recurring spend? For a landlord whose compliance is light, light-custom often wins outright; for a firm producing audited lease accounting, the platform usually clears its cost by making the audit itself cheaper.

Handling confidential leases with no IT department

Leases and the financials tied to them are exactly the data you are contractually bound to protect, and a firm without an IT department can still handle them responsibly with two habits.

Use business-tier accounts. The major AI providers state that inputs on their business and enterprise plans are not used to train their models by default. Verify the terms of the plan you buy — they change — and never paste confidential leases or financial data into a free consumer account whose terms differ. A purpose-built platform such as Trullion handles this through contractual data agreements and access controls; with a self-built pipeline on a general assistant, those guardrails are yours to set.

Classify before you paste. Set a simple internal rule for which document types are cleared for which tool, and anonymize or withhold anything under strict NDA or carrying tenant personal and financial information beyond what the task needs. The most common mistake at a small firm is an analyst pasting a sensitive document into the wrong account — a one-line policy prevents it.

How to choose: a 6-question filter

Run either option through six questions before you commit a dollar.

1. Output type: Does your lease data become accounting — journal entries, disclosures, ASC 842 / IFRS 16 numbers — or just usable data in a model or rent roll? Accounting points to a platform.
2. Audit exposure: Will an external auditor test these numbers? If yes, the source-linked trail is worth paying for.
3. Your role in the lease: Are you mostly a landlord (lessor, simpler accounting) or a corporate tenant (lessee, heavier ASC 842 burden)?
4. Where compliance lives: Does an outside accountant or fund administrator already produce your statements? If so, you may only need clean data to hand them.
5. Volume and format: How many leases, and does the output have to match an unusual template no product fits?
6. Maintenance appetite: Do you want a vendor to own standards updates and integration upkeep, or are you prepared to maintain a build?

A firm that answers “accounting, audited, tenant, in-house, high volume” should buy a platform and price Trullion against at least one peer. A firm that answers “usable data, not audited, landlord, compliance-lives-elsewhere” should extract the data with a saved prompt or a light pipeline and put the platform budget elsewhere.

FAQ

Is Trullion a lease abstraction tool or a lease accounting tool?

Primarily lease accounting. Trullion uses AI to extract data from source documents, but its purpose is producing standard-compliant output — journal entries, amortization schedules, and disclosures under ASC 842, IFRS 16, and GASB 87 — with a source-linked audit trail. Abstraction is a step inside that job. If you only need lease terms pulled into a model or rent roll, that is abstraction, and a lighter tool covers it.

Should a small CRE firm build custom lease-data extraction instead of buying Trullion?

It depends on whether your output has to be audited accounting or just usable data. If you produce ASC 842 / IFRS 16 numbers that an auditor tests, a platform’s source-linked trail is worth buying and a custom build would mostly re-create it badly. If you need lease data for underwriting, rent rolls, or investor reporting and your compliance is handled elsewhere, a saved prompt or light pipeline is cheaper and enough.

What does Trullion actually do?

Per its public materials, Trullion is an AI-native accounting platform whose lease product extracts economic terms from executed leases, links each value back to the source clause, and generates compliant journal entries, schedules, and disclosures that integrate with accounting systems and ERPs. It also supports auditor collaboration. Verify specifics on its current documentation, since proptech features change quarterly.

How much does Trullion cost versus a custom pipeline?

Trullion is quote-based rather than publicly priced, typically an annual subscription that scales with your portfolio and entities — for a small firm generally in the four-to-five-figure-per-year range. A light custom setup on a business-tier assistant runs about $20–30 per user per month. A heavy custom pipeline is a project cost of roughly $25K–150K plus maintenance, worthwhile only at real volume.

Do I need lease accounting software if I am a landlord?

Often less than a corporate tenant does. Most small CRE firms are lessors, and lessor accounting under ASC 842 is generally simpler than the lessee side. If an outside accountant or fund administrator produces your statements, you may only need clean extracted lease data to hand them rather than a full accounting platform of your own.

Can I use ChatGPT or Claude for lease-data extraction instead?

Yes, for the extraction itself. On standard, digitally native leases, business-tier assistants pull structured terms with high accuracy using a well-built, reusable prompt and a human verification pass. What they do not give you is compliant accounting output or an auditable trail — so they fit the “usable data” case, not the “audited accounting” case.

What is the real cost of building custom lease-data extraction?

The extraction is the cheap part; reproducing the audit apparatus is the expensive part. Pulling lease terms with AI is close to commoditized. Making that data source-linked, version-controlled, consistently compliant, and defensible under audit is a genuine engineering-and-accounting project — which is why a custom build only makes sense when you need the data, not full compliant accounting.

Is it safe to upload confidential leases to an AI tool?

With two safeguards. Use a business-tier account from a major provider, which states inputs are not used to train the model by default — and verify your plan’s terms, since they change. And classify before you paste: documents under strict NDA or carrying tenant personal or financial information get anonymized or stay out. A platform handles this through contractual data agreements; on a self-built pipeline, the guardrails are yours to set.

What are the main alternatives to Trullion for lease accounting?

The lease-accounting software category also includes FinQuery (formerly LeaseQuery), Visual Lease, EZLease, and Occupier, among others. If you conclude you need a platform, price at least two against your own leases and reporting requirements rather than buying the first demo, since data models and integrations differ.

Key takeaways

• The Trullion-versus-custom decision is really compliant accounting output versus usable data — decide which job is yours before comparing features.
• Trullion is a lease-accounting platform: it extracts terms, links them to the source, and produces audit-ready ASC 842 / IFRS 16 journal entries and disclosures. A custom pipeline extracts data but does not produce accounting on its own.
• The audit trail — source-linking, version control, defensible-under-audit numbers — is what you actually buy or build; the extraction itself is close to commoditized.
• Buy a platform (and price Trullion against a peer) when output must survive an audit; extract the data with a saved prompt or light pipeline when you are a landlord whose compliance lives elsewhere.
• Handle confidential leases with business-tier accounts and a classify-before-you-paste rule; a firm with no IT can still do this well.

Not sure whether your firm needs an accounting platform, a custom extraction, or just a better prompt? That answer depends on your role in the lease, your audit exposure, and where your compliance lives — which is exactly what a short working session sorts out. Book your free AI-readiness assessment →