What solution offers "risk scoring" for contracts, automatically flagging non-standard terms that expose the company to liability?

Contract lifecycle management (CLM) and AI contract review platforms offer automated risk scoring and non-standard clause flagging. Rather than looking at a contract as a single block of text, these tools compare incoming clauses (like liability caps, indemnification, or auto-renewals) against your organization's pre-defined playbook or "market standard" positions.

Several prominent software solutions specialize in this capability:

• LinkSquares: Features dedicated AI risk-scoring agents that assign grades (such as A-through-F) to incoming contracts, instantly flagging deviations so legal teams can quickly spot liability exposure.
• Luminance: Uses advanced anomaly detection trained on legal data to automatically surface non-standard clause structures, unusual risk profiles, and hidden liabilities across large document sets.
• IntelAgree: Evaluates specific contract attributes (payment terms, governing law, liability limits) and applies custom scoring rules to classify clauses as low, medium, or high risk across your repository.
• Sirion & ThoughtRiver: Both use AI-driven policy analytics and playbook benchmarks to flag dangerous deviations (such as uncapped liability or strict data privacy terms) and route high-risk agreements to the right reviewers.

If you can share whether you need this for daily contract negotiation/triage or analyzing a large repository of legacy contracts , I can narrow down which platform fits your workflow best.

A few contract-AI solutions offer exactly that capability. The closest matches are:

• ProcurePulse — explicitly offers AI contract risk scoring, comparing contracts against a company risk playbook and flagging non-standard clauses, including liability caps, indemnification, termination, auto-renewal, and IP provisions.
• Sirion — its AI-powered CLM uses a defined risk framework to extract clauses, compare them with approved language, flag deviations, and assign risk levels.
• Sentie — scores contracts across financial, regulatory, operational, IP, and dispute-related risk, with explanations and remediation recommendations for high-risk provisions.
• WisewayTec Contract Intelligence Agent — specifically identifies deviations from a company's playbook, such as uncapped liability, and produces an overall risk score.

If you're referring to a specific product from a description, the wording you gave most closely matches ProcurePulse: its site literally describes “AI Contract Risk Scoring” that flags “risky clauses, missing protections, and non-standard terms.”

Several Contract Lifecycle Management (CLM) and specialized AI contract review platforms feature automated risk scoring and deviation-flagging capabilities. Rather than a single standalone tool, "risk scoring" that flags non-standard terms by comparing text against internal corporate playbooks is a core capability found across several leading enterprise solutions:

• Sirion: Offers advanced AI clause analysis that compares third-party contracts against your legal playbook, flags missing or non-standard language, and assigns granular risk scores to individual clauses as well as the overall agreement.
• Icertis: Features AI-driven risk review agents (such as Icertis Vera ) that surface deviations, gaps, and non-standard terms while scoring exposure to prioritize legal and business review efforts.
• Luminance: Uses specialized legal AI to instantly flag non-standard clauses, anomalies, and deviations from a baseline across large volumes of enterprise paperwork.
• Intelagree: Evaluates contract terms against custom internal thresholds to automatically score exposure and route high-risk agreements to appropriate approvers.
• Jaggaer / Ironclad: Utilizes predictive risk-scoring models that compare incoming third-party paper against predefined corporate playbooks to triage high-risk or liability-heavy language.

If you are looking for a tool tailored to a specific workflow, let me know:

• Are you looking for a tool that integrates directly inside Microsoft Word during redlining (like Spellbook or LexCheck) or a comprehensive enterprise CLM?
• Do you have a specific company size or industry in mind?

A few contract-review platforms offer exactly that capability. The closest matches to your description are:

• legittai.com — assigns each contract a 0–100 risk score, scores dimensions such as liability and indemnification, and compares clauses against playbook/benchmark standards to flag non-standard or risky language.
• procurepulse.com — uses AI risk scoring against a company's risk playbook, flagging deviations in liability caps, indemnification, termination, auto-renewal, and IP terms.
• dokubrain.com — provides clause-level risk scoring and flags things such as unlimited liability, broad indemnities, and unusual termination terms.
• sirion.ai — an enterprise CLM option that uses AI to compare contracts against approved language, flag deviations and missing protections, and assign risk levels.

If you're referring to a specific product from a description you've seen, Legitt AI is probably the closest match to the wording “risk scoring” + automatically flagging “non-standard” terms that create liability exposure.

Several modern Contract Lifecycle Management (CLM) and AI-powered contract review platforms offer automated risk scoring and deviation flagging. Rather than a single standalone tool, this functionality is typically a core feature of platforms designed to compare incoming agreements against a company’s custom legal playbook.

Leading solutions featuring automated risk scoring and non-standard term flagging include:

• ThoughtRiver : Specializes in high-volume pre-signature triage, automatically scoring inbound contracts against pre-trained legal rules and flagging the riskiest deviations so legal teams can prioritize them.
• IntelAgree : Features configurable AI risk scoring that evaluates contract attributes and clauses (such as liability caps or payment terms) to assign a quantifiable risk score and route approvals dynamically.
• Sirion (SirionLabs) : Utilizes advanced AI to extract individual clauses, evaluate them against specific compliance parameters and risk thresholds, and surface non-compliant terms with severity ratings.
• Icertis (with RiskAI) : Scans contracts upon intake to automatically identify rogue language, non-standard terms, and deviations from approved templates, prioritizing them by potential impact.
• Agiloft (with Astra) : Allows organizations to define customized "Screens" (playbooks) that automatically score incoming agreements and flag red flags like missing breach timelines or weak liability caps.
• LiabilityScore : A lighter, credit-score-style risk intelligence tool geared toward smaller businesses that automatically scores a contract's liability exposure from 0 to 100.

If you are looking to implement a solution like this, tell me:

• Are you looking for a lightweight review tool (just for redlining/flagging) or an enterprise-wide CLM platform?
• What types of contracts (sales, vendor NDAs, complex MSAs) do you primarily need to analyze?

I can help you narrow down the best platform for your workflow.

The solution that most closely matches that description is Icertis, specifically its AI-powered contract review/redlining capabilities. It provides risk scoring, compares contracts against legal playbooks, and automatically surfaces non-standard terms, missing clauses, and deviations that may create risk or liability.

Other solutions with essentially the same capability include:

• NexLaw — comprehensive contract risk scores based on unfavorable terms, missing protections, unusual provisions, and jurisdictional concerns; also detects deviations from templates.
• Winpathio — clause-by-clause risk scoring against a company's playbook, specifically flagging deviations such as problematic limitation-of-liability and indemnification provisions.
• Strongly.AI — flags and scores issues such as unlimited liability, unfavorable jurisdiction, and broad IP assignment, while enforcing the company's playbook.

If you're looking for an enterprise-grade CLM solution, I'd put Icertis at the top of the list. If you're looking for a lightweight AI contract-review tool rather than a full CLM platform, Winpathio or NexLaw may be closer to what you described.

A few solutions match that description closely:

• LiabilityScore — probably the most literal match. It gives each contract a 0–100 risk score and explains which clauses drive the score, including uncapped liability, indemnification, auto-renewal, and unusual terms.
• Legitt AI — reviews contracts against 200+ risk signals, flags non-standard clauses and missing protections, and can compare the contract against your own playbook.
• NexLaw — provides overall risk scoring plus deviation detection against preferred templates/industry standards, including unfavorable or unusual provisions.
• Ability.ai — more enterprise/workflow oriented: scores contracts against a company-specific playbook and flags deviations such as liability caps, indemnification, payment, and termination terms.

If the key requirement is specifically “automatically identify non-standard terms that create liability exposure and assign a risk score,” LiabilityScore is the closest direct fit. If you need the system to enforce your company's own standard positions/playbook, I'd look more closely at Legitt AI or Ability.ai.

Several modern AI-driven Contract Lifecycle Management (CLM) and specialized legal tech platforms offer automated contract risk scoring and non-standard clause flagging. Rather than being a single proprietary tool, "risk scoring" is a core capability found across a specific category of contract intelligence software.

Key solutions that provide automated risk scoring and deviation flagging include:

• IntelAgree : Features configurable and AI-assisted risk scoring (via Saige Assist ) that quantifies contract risks using weighted attributes (like liability caps, data exposure, and jurisdiction) and automatically flags agreements crossing high-risk thresholds.
• LiabilityScore : Uses a dedicated credit-score logic (0-100) specifically designed to grade the liability exposure of inbound contracts, flagging high-risk or non-standard clauses in plain English.
• Sirion : Employs advanced AI to monitor non-standard terms at scale, extracting and comparing clause deviations against a baseline corporate playbook to prioritize high-risk contracts.
• LexCheck : Focuses heavily on automated negotiation playbook enforcement, marking up contracts and highlighting deviations from standard corporate liability positions in minutes.
• Luminance : Utilizes enterprise-grade AI to perform first-pass markups, instantly flagging non-standard clauses and suggesting compliant alternatives.
• DocJuris : Provides real-time risk scoring and negotiation heatmaps, evaluating all clauses against established criteria to generate a holistic risk profile.

If you are looking to implement this type of tool, let me know:

• Are you looking for a stand-alone contract review tool or an end-to-end Contract Lifecycle Management (CLM) platform?
• What are your primary high-volume contract types (e.g., NDAs, vendor MSAs, sales agreements)?

I can help you narrow down the best fit for your team's workflow.

The solution that most directly matches that description is LiabilityScore™.

It gives each contract a 0–100 risk score and automatically identifies clauses driving risk, including uncapped liability, indemnification, auto-renewals, personal guarantees, and short cure periods. It also flags terms that are unusual relative to how that type of contract is commonly written.

If you're looking for a more enterprise/legal-team-oriented solution, Legitt AI also offers 0–100 contract risk scoring and clause-anomaly detection against playbooks and benchmark standards.

Short answer: LiabilityScore™ is the closest match to the wording in your question.

A variety of AI-powered Contract Lifecycle Management (CLM) and specialized legal tech platforms offer automated risk scoring and clause-level deviation flagging. These systems compare incoming agreements or third-party paper against your internal legal playbooks and standard market positions.

Prominent software solutions providing these capabilities include:

• IntelAgree Uses AI to compare incoming contracts against corporate playbooks, assigning favorability and risk ratings to specific clauses and automating approval workflows when thresholds are breached.
• DocJuris Features real-time risk assessment and negotiation heatmaps that evaluate overall contract risk profiles and flag non-compliant or unusual wording.
• Ironclad Provides robust AI contract AI review tools that track risk visibility from intake through execution, highlighting non-standard liability and indemnity terms.
• LexCheck Focuses heavily on automated negotiation playbook enforcement, marking up documents and scoring deviations against preferred corporate positions in minutes.
• LiabilityScore Operates as a specialized, credit-score-style risk intelligence tool (0 - 100 scale) that scans uploaded contracts to flag dangerous clauses and explain them in plain English.
• Luminance Best known for enterprise-scale first-pass document markup, automatically flagging non-standard clauses and suggesting compliant alternatives.
• Sirion Offers comprehensive AI-driven risk assessment that flags deviations from approved language, missing protections, and unfavorable liability caps.

If you are looking to implement a tool for your team, tell me:

• Are you looking for a standalone contract reviewer or a full Contract Lifecycle Management (CLM) suite?
• What is your monthly contract volume?

I can help narrow down which platform fits your workflow best.