IBMPublic SectorDocument ProcessingEnterprise Knowledge SearchAI and Machine LearningGenerative AI / LLMComplianceProductivity ImprovementRisk Reduction2026IBMIBM#0f62fePublic SectorSpainThe General State Attorney’s Office needed to manage and access a very large volume of legal information more efficiently so legal professionals could find relevant precedents, compare lawsuits, and prepare responses…Feb 25, 20265Document Processing|Enterprise Knowledge SearchIBM cloud · IBM watsonx · TEMIS02026-02-255
The General State Attorney’s Office needed to manage and access a very large volume of legal information more efficiently so legal professionals could find relevant precedents, compare lawsuits, and prepare responses faster and more accurately.
The system reduces legal analysis time, improves consistency in applying criteria, frees lawyers for higher-value work, and supports more agile and accurate decision-making without removing professional judgement or supervision.
Compliance
Productivity Improvement
Risk Reduction
Solution
Telefónica Tech built the TEMIS application for the General State Attorney’s Office and integrated it into the institution’s digital services catalogue to make large volumes of legal documentation usable in daily legal work. The solution runs on IBM cloud technology and uses the IBM watsonx platform as the AI engine for organizing, classifying, and intelligently searching legal documents. Source legal files and previous lawsuits are brought into the system, where natural language processing, AI models, and configured virtual agents help TEMIS understand document content, surface related cases, and highlight similarities and differences in context. IBM cloud provides the scalable hosting foundation so the platform can progressively add new document sets and handle growing information volumes. The served experience gives state lawyers contextual search and precedent discovery inside existing workflows, while operating only on anonymised or de-identified information under a governed, supervised AI model lifecycle.
Data flow
Legal documentation and previous lawsuits are prepared with identifying data removed and loaded into TEMIS on IBM cloud. IBM watsonx applies NLP, classification, and intelligent search to organise the corpus, compare cases, and find relevant similarities and differences. TEMIS then serves contextualised results through the Attorney’s Office digital services catalogue for state lawyers.
Solution architecture
3 components · 3 layers
Compute
IBM watsonxAI engine used to organise, classify, and intelligently search legal documentation with natural language processing and AI models.
Serving
TEMISApplication integrated into the Attorney’s Office digital services catalogue to search, compare, and analyse prior lawsuits for legal professionals.
Uncategorized
IBM cloudCloud foundation used to develop and run the solution so it can scale as more legal document sets are incorporated.
Architecture clues
Built and operated on IBM cloud technology
Designed to scale progressively by adding new document sets
Governed AI approach emphasises traceability, transparency, control, and supervision across the model lifecycle
Handles large volumes of legal information
Includes configured virtual agents for contextualised results
Operates without processing personal data and uses anonymised or de-identified information
Uses advanced natural language processing and artificial intelligence models
Evidence from the source
“Based on the artificial intelligence technology of the IBM watsonx platform, TEMIS allows users to locate related previous lawsuits, identify comparable cases and analyse relevant similarities and differences.”
“TEMIS has also been configured to operate without processing personal data... The platform works exclusively with anonymised information or information that has been stripped of identifying data.”
“TEMIS has been developed using IBM cloud technology and uses IBM Watsonx as the engine for the organisation, classification and intelligent search of legal documentation.”
“Telefónica, through its digital business unit Telefónica Tech, has developed the intelligent ‘TEMIS’ system in collaboration with IBM and integrated it into the General State Attorney’s Office’s catalogue of digital services.”
“The project aims to improve the management of and access to relevant legal information, increasing efficiency in the daily work of professionals and facilitating more agile and accurate decision-making.”
“These capabilities reduce analysis times, improve consistency in the application of criteria and free up time for higher-value tasks.”
Review how this reference was scored and trace each normalized claim back to its documented source.
01
Scoring methodology
How scores are calculated
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Customer reference value75/100
Problem clarity20/20
Measures whether the customer's operational problem is specific enough to compare.
Implementation depth25/25
Rewards named components, data flow, integrations, and architecture detail.
Outcome specificity20/20
Measures whether the reported benefit is concrete rather than a generic claim.
Quantified impact0/25
0 metrics describe measurable impact.
Deployment scale10/10
Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence95%
Source authority25/25
The deployment is described by the adopting organization or a government source.
Claim traceability23/25
11 of 12 key fields link to a named source.
Direct evidence20/20
6 direct source quotes retained.
Date provenance10/10
The publication date comes from the source page or publisher.
Madrid, 25 February 2026.- Telefónica is a technology partner of the General State Attorney’s Office as a result of the tender awarded to the company in 2025.
Source type
Official company website
Supports
Region
Date evidence
Published on source pageFeb 25, 2026 · Telefónica · First-party
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