Intake and configuration
We receive your template contracts (PDF, Word or plain text) and configure the risk profile: sector, applicable jurisdiction (Spanish law by default), priority clauses specific to your business and the alert threshold.
Analyse any contract — supplier, client, lease or SaaS — and get a map of problematic clauses before you sign. A service for SMEs that negotiate dozens of contracts a year without a full-time in-house legal team.
Every contract an SME signs is a decision with consequences that can last for years. Disproportionate penalties, hidden exclusivity clauses, notice periods that slip under the radar, liability limitations drafted in the supplier's favour: these are real risks that a team without in-house counsel does not always catch in time. Manual contract-by-contract review is expensive, slow and depends on the availability of an external law firm.
Summum IA deploys a document analysis workflow based on language models trained for legal reasoning and structured extraction. The system reads the contract in Spanish or English, identifies clauses that deviate from market standards, classifies them by risk level (low, medium, high) and generates a reviewable report. The output does not replace the lawyer: it complements them, eliminating the initial reading workload and focusing legal attention where it truly matters.
The service fits SMEs in industrial, distribution, construction, logistics and professional services sectors that manage portfolios of repetitive contracts: non-disclosure agreements, supply contracts, software SLAs, warehouse leases or works contracts. It is also useful for law firms and accountancies that want to add a pre-screening layer without increasing headcount. Summum integrates the workflow into your existing processes — email, SharePoint, Google Drive — so the review happens where you already work.
We receive your template contracts (PDF, Word or plain text) and configure the risk profile: sector, applicable jurisdiction (Spanish law by default), priority clauses specific to your business and the alert threshold.
The model processes each document, extracts the relevant clauses, cross-references them against a repository of risk patterns and generates a structured summary: executive overview, clause map classified by severity and verbatim text of the most problematic items.
We deliver the analysis in a format that your legal advisors or team can work with directly: a Word document with comments, a summary table in Excel or a web dashboard depending on volume. The report clearly distinguishes high-risk findings from informational ones.
After the first rounds, we fine-tune the model to your specific contract types and sector to reduce false positives. If volume justifies it, we connect the workflow to your document management system so that analysis runs automatically when a new contract is uploaded.
The operational detail: what we deliver as part of the work and what we keep alive afterwards.
Risk clause detection
Penalties, liability limitations, exclusivity clauses, notice periods, rights assignments and arbitration clauses — identified and classified by severity level.
Market standard benchmarking
The system compares agreed terms against typical patterns in contracts of the same type, flagging deviations that warrant renegotiation.
Structured data extraction
Parties, subject matter, term, price, penalties, governing law and jurisdiction extracted automatically and exported to a table for tracking.
Multilingual support
Contracts in Spanish and English. Documents in other languages can be incorporated on request.
Document workflow integration
Connection with SharePoint, Google Drive or network folders via standard connectors. Analysis is triggered automatically when a new document is deposited.
Report for external counsel
The report is designed to be handed directly to the law firm, which can focus its review on the points flagged as critical and bill fewer hours.
AI contract review builds on the AI Act technical governance layer (Summum IA) and, when the analysis uncovers regulatory non-compliance, it is coordinated with Summum Consultoría, which covers underlying legal compliance.
The EU AI Act imposes transparency and logging requirements on AI systems that assist in contractual decisions with significant impact; this service complies with that framework by design.
View service → iaWhen contract volumes are high, large-scale document processing — OCR, classification, mass extraction — is the natural upstream step before clause analysis.
View service → consultoríaWhen the review reveals legal obligations linked to the AI Act or contractual GDPR requirements, Summum Consultoría provides the underlying regulatory advisory.
View service →No. AI identifies and classifies risk clauses very quickly, but the final legal judgement is always human. The service is designed to reduce the time a lawyer spends on the initial read and focus their attention on the points that truly matter. If you need substantive legal advice, we can connect you with specialist law firms.
Supply contracts, purchase and sale agreements, service agreements, leases of movable and immovable assets, non-disclosure agreements (NDAs), senior executive employment contracts, service level agreements (SLAs) and software licence contracts. In industrial sectors, also works contracts and subcontracting agreements.
We design the workflow to match your confidentiality requirements. We can operate with models hosted in private environments (sovereign AI option) or with cloud providers that offer a DPA and enterprise confidentiality agreements. Documents are never used to train external models.
A standard 20–40 page contract is analysed in minutes once the workflow is configured. For the first batch of contracts, the turnaround includes risk profile configuration and initial validation: typically 24–48 hours from receipt of documents.
Yes. The system works natively in Spanish and English. For mixed contracts or with annexes in other languages, let us know during the configuration phase so we can adjust the treatment accordingly.