A lot of AI tools will read your contract and tell you it looks concerning. LiabilityScore™ gives you a number. That difference is deliberate, and understanding how the number gets calculated helps you understand what it means — and what to do with it.
Most contract review tools, AI-powered or otherwise, return qualitative output: a list of clauses flagged as risky, color-coded highlights, or a summary of things to watch out for. That output is useful. It's also hard to act on, because it doesn't tell you how risky this contract is relative to other contracts you might sign, or whether the risk level is acceptable given what you're getting in return.
A score does something different. It compresses a complex set of clause-level signals into a single number on a 0–100 scale, where higher means more risk. You can compare it across contracts. You can track it across versions as you negotiate. You can show it to a business partner who doesn't want to read a 40-page lease. And you can benchmark it: a score of 72 on a commercial lease means something specific, not just "there are some issues."
The FICO analogy isn't accidental. FICO didn't make lenders fair — it made borrower risk legible, which created competition, transparency, and eventually access. Before credit scoring, people were denied credit based on hunches. Scoring replaced hunches with calculations. LiabilityScore™ does the same thing for contract risk. When enough signers start flagging the same predatory clauses, drafters will remove them preemptively — not out of goodwill, but because friction costs money. That's how markets normalize. Information equality precedes behavioral change.
Before a single clause gets scored, the engine identifies what kind of contract you've uploaded. This matters because a 90-day vendor agreement and a 10-year commercial lease present risk in fundamentally different ways. An indemnification clause in a software license has different implications than the same clause in a personal guaranty.
Type detection runs first, using a fast classification pass that identifies the contract category — commercial lease, residential lease, employment agreement, service contract, NDA, and others. That classification determines which scoring playbook gets applied. Each playbook is calibrated to the risk profile and clause patterns specific to that contract type.
If the engine can't confidently classify the contract, it defaults to a universal analysis that flags the most common high-risk clause patterns across all contract types, and notes the classification uncertainty in the report.
Once the contract type is identified, the full analysis runs. The engine reads the entire document and extracts individual clauses — not just the ones with obvious headings, but embedded provisions, cross-references, and language buried in definitions sections that functions as a substantive clause even if it isn't labeled as one.
For each clause, the analysis answers three questions. First: is this clause present? Second: how is it written — tenant-favorable, landlord-favorable, or balanced? Third: what is the realistic financial or legal exposure this clause creates?
That third question is where most tools stop at "flagged" and LiabilityScore™ goes further. A holdover clause at 150% creates different exposure than one at 200% with "any portion thereof" language and a consequential damages provision. The engine scores the specific version of the clause in your contract, not the generic existence of the clause type.
Each identified clause contributes to the overall score based on two factors: severity and weight.
Severity measures how risky the specific clause language is on a spectrum from favorable to neutral to concerning to high risk to extreme risk. A holdover clause capped at 110% with a landlord notice requirement scores in the favorable range. The same clause at 200% with "any portion thereof" and no notice requirement scores extreme. The difference between those two versions can represent tens of thousands of dollars in real exposure — the scoring reflects that.
Weight measures how much that clause type matters within the overall contract. A holdover clause in a 5-year commercial lease is weighted more heavily than a holdover clause in a month-to-month residential agreement, because the potential exposure is orders of magnitude larger. Personal guaranty provisions are weighted very heavily in commercial leases because their downside is uncapped personal liability. An arbitration clause is weighted more moderately — it constrains your options, but it doesn't expose you to an open-ended financial obligation.
The weighted severity scores across all identified clauses roll up into a raw score, which is then normalized to the 0–100 scale. That normalization is calibrated against thousands of real contracts to ensure that the score distribution is meaningful: a 30 is genuinely low risk, a 75 is genuinely high risk, and a 90 represents the kind of contract that should give you serious pause before signing.
Scores map to five risk bands in the detailed report.
Every contract type has a clause library — the set of provisions the engine looks for, both risky ones that are present and protective ones that are absent. For commercial leases, the full library covers holdover provisions, personal guaranty terms, CAM caps and exclusions, restoration obligations, assignment and subletting rights, force majeure applicability, default and cure periods, rent escalation mechanics, co-tenancy protections, and early termination rights.
Absent protections are scored too. A commercial lease with no co-tenancy clause, no CAM cap, and no audit right isn't missing neutral provisions — it's missing tenant protections that a balanced lease would include. The absence is scored as a risk factor, not a neutral gap.
The score is the headline. The report is the substance.
For every flagged clause, the report includes a plain English explanation of what the clause means, what the realistic worst-case exposure is in dollar terms where calculable, and what specifically to ask for in negotiation. Not general suggestions — specific language changes, specific asks, specific thresholds to push for.
The goal is that someone who has never read a commercial lease before can look at a LiabilityScore™ report and walk into a negotiation knowing exactly which clauses to address and what a fair version looks like. You shouldn't need a law degree to know that a 200% holdover clause with "any portion thereof" language is worth pushing back on before you sign a 5-year lease.
The score is a risk assessment, not legal advice. It identifies clause-level risk and quantifies it — it doesn't tell you whether to sign, whether a specific clause is enforceable in your jurisdiction, or how a court would rule in a dispute. Those questions require an attorney with knowledge of your specific situation and local law.
For contracts above a certain risk threshold, or where the financial stakes are high enough to warrant it, the report will note that an attorney review is worth the investment. A LiabilityScore™ scan and an attorney review aren't substitutes for each other — the scan tells you where to focus the attorney's time, which makes that hour of billable time more productive and less expensive.
The free tier gives you three scans per month and a full report on each. Upload your contract, get your score, read the plain English breakdown, and decide what to negotiate. It takes 60 seconds.
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This article is for educational purposes only and does not constitute legal advice. LiabilityScore™ identifies potentially risky contract terms — it is not a substitute for review by a licensed attorney. Always consult qualified legal counsel for advice specific to your situation.