{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_wisedocs","slug":"wisedocs","name":"Wisedocs","type":"product","url":"https://www.wisedocs.ai","page_url":"https://unfragile.ai/wisedocs","categories":["documentation"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_wisedocs__cap_0","uri":"capability://legal.medical.document.ocr.and.digitization","name":"medical-document-ocr-and-digitization","description":"Converts scanned medical documents, PDFs, and images into machine-readable text using optical character recognition. Extracts text from both printed and handwritten medical records to create searchable digital versions.","intents":["I need to convert stacks of paper medical records into searchable digital files","I want to extract text from scanned medical documents without manual transcription","I need to digitize handwritten physician notes for litigation discovery"],"best_for":["Legal teams processing medical records for discovery","Insurance claim processors reviewing medical documentation","Healthcare litigation support specialists"],"limitations":["OCR accuracy degrades significantly on handwritten notes","Non-standard medical forms may require manual verification","Complex medical notation and abbreviations may be misinterpreted"],"requires":["Medical documents in image or PDF format","Reasonable document quality (legible text)"],"input_types":["PDF","image files (JPG, PNG, TIFF)","scanned documents"],"output_types":["searchable text","structured data"],"categories":["legal","healthcare","document-processing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_wisedocs__cap_1","uri":"capability://legal.medical.document.classification.and.tagging","name":"medical-document-classification-and-tagging","description":"Automatically categorizes medical documents by type (lab results, discharge summaries, imaging reports, etc.) and applies relevant tags for organization. Reduces manual sorting and enables rapid document retrieval.","intents":["I need to organize hundreds of mixed medical documents into categories","I want to automatically tag documents so they're easy to find later","I need to sort medical records by document type for case preparation"],"best_for":["Large law firms handling complex litigation with extensive medical records","Insurance claim processors managing high document volumes","Medical record custodians organizing patient files"],"limitations":["Unusual or non-standard document types may be misclassified","Hybrid documents containing multiple record types may be tagged incorrectly","Requires training on firm-specific classification schemes"],"requires":["Digitized or text-extracted medical documents","Clear document type definitions"],"input_types":["text","structured medical records"],"output_types":["document categories","metadata tags","classification labels"],"categories":["legal","healthcare","document-processing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_wisedocs__cap_10","uri":"capability://legal.medical.document.analytics.and.reporting","name":"medical-document-analytics-and-reporting","description":"Generates analytics and reports on processed medical document collections, including statistics on document types, key medical findings, treatment patterns, and case-relevant metrics. Provides insights for case strategy and claim analysis.","intents":["I want to understand the overall medical picture across all case documents","I need statistics on treatment patterns and medical outcomes for case analysis","I want to generate reports showing key medical findings for case presentation"],"best_for":["Attorneys preparing case strategy and expert witness materials","Insurance claim analysts evaluating claim value and liability","Medical professionals reviewing treatment patterns"],"limitations":["Analytics quality depends on accuracy of underlying data extraction","May oversimplify complex medical situations","Requires interpretation by medical or legal professionals"],"requires":["Processed and extracted medical data","Sufficient document volume for meaningful statistics","Clear reporting parameters and metrics"],"input_types":["structured medical data","extracted medical facts","classified documents"],"output_types":["analytics reports","statistical summaries","visual charts and graphs","case summary reports"],"categories":["legal","healthcare","analytics"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_wisedocs__cap_2","uri":"capability://legal.medical.data.extraction.and.structuring","name":"medical-data-extraction-and-structuring","description":"Extracts specific medical data points from unstructured documents (patient demographics, dates of service, diagnoses, medications, test results) and structures them into organized, queryable formats. Converts free-form medical text into standardized data fields.","intents":["I need to pull specific medical facts from dozens of documents quickly","I want to extract patient demographics and medical history into a database","I need to compile test results and medication lists from multiple records"],"best_for":["Legal teams building case chronologies from medical records","Insurance adjusters extracting claim-relevant medical facts","Medical malpractice attorneys identifying key medical events"],"limitations":["Accuracy depends on document clarity and standardization","Complex medical terminology may be misinterpreted","Requires human verification for high-stakes litigation decisions"],"requires":["Digitized medical documents with clear text","Predefined extraction templates or field mappings"],"input_types":["text","medical records","clinical notes"],"output_types":["structured data","CSV/database records","JSON objects"],"categories":["legal","healthcare","data-extraction"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_wisedocs__cap_3","uri":"capability://legal.medical.document.search.and.retrieval","name":"medical-document-search-and-retrieval","description":"Enables full-text search across large collections of medical documents with filters by document type, date range, patient, and medical concepts. Quickly locates relevant records from thousands of pages.","intents":["I need to find all documents mentioning a specific symptom or diagnosis","I want to search for records from a particular date range quickly","I need to locate all imaging reports for a specific patient"],"best_for":["Litigation teams reviewing large document sets for discovery","Insurance claim processors finding relevant medical evidence","Medical record custodians managing extensive patient files"],"limitations":["Search accuracy depends on OCR quality of source documents","Medical abbreviations and synonyms may require multiple searches","Performance may degrade with extremely large document collections"],"requires":["Indexed medical documents in the platform","Searchable text extraction from source documents"],"input_types":["search queries","filter parameters"],"output_types":["document results","ranked search results","filtered document lists"],"categories":["legal","healthcare","search"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_wisedocs__cap_4","uri":"capability://legal.medical.document.timeline.generation","name":"medical-document-timeline-generation","description":"Automatically creates chronological timelines of medical events extracted from documents, organizing diagnoses, treatments, procedures, and outcomes in temporal order. Helps attorneys and claim processors understand the sequence of medical care.","intents":["I need to create a timeline of medical events for case presentation","I want to understand the sequence of treatments and outcomes","I need to identify gaps or inconsistencies in the medical record timeline"],"best_for":["Medical malpractice attorneys building case narratives","Personal injury lawyers establishing causation timelines","Insurance claim processors documenting treatment sequences"],"limitations":["Accuracy depends on date extraction from documents","Ambiguous or missing dates may create gaps in timeline","Complex medical cases with overlapping treatments may be difficult to sequence"],"requires":["Extracted medical data with dates","Structured medical events and procedures"],"input_types":["structured medical data","extracted dates and events"],"output_types":["chronological timeline","visual timeline representation","event sequence report"],"categories":["legal","healthcare","analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_wisedocs__cap_5","uri":"capability://legal.medical.document.comparison.and.consistency.checking","name":"medical-document-comparison-and-consistency-checking","description":"Compares medical records across documents to identify inconsistencies, contradictions, or discrepancies in patient information, diagnoses, or treatment details. Flags potential errors or conflicts for human review.","intents":["I need to find contradictions between different medical records","I want to identify inconsistent diagnoses or treatment plans across documents","I need to spot potential medical errors or documentation problems"],"best_for":["Medical malpractice attorneys investigating care quality","Insurance fraud investigators reviewing claim documentation","Quality assurance teams in healthcare organizations"],"limitations":["May generate false positives for legitimate medical updates or corrections","Requires understanding of medical context to interpret inconsistencies","Cannot determine which record is correct without human judgment"],"requires":["Multiple medical documents for same patient","Extracted and structured medical data"],"input_types":["structured medical records","extracted data from multiple documents"],"output_types":["inconsistency reports","flagged discrepancies","comparison matrices"],"categories":["legal","healthcare","analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_wisedocs__cap_6","uri":"capability://legal.medical.document.redaction.and.compliance","name":"medical-document-redaction-and-compliance","description":"Automatically identifies and redacts sensitive personal health information (PHI) such as Social Security numbers, medical record numbers, and other protected identifiers to ensure HIPAA compliance. Prepares documents for safe sharing and discovery.","intents":["I need to remove patient identifiers before sharing records with opposing counsel","I want to ensure documents are HIPAA-compliant before distribution","I need to redact sensitive information while preserving medical content"],"best_for":["Legal teams managing discovery with privacy obligations","Healthcare organizations sharing records with third parties","Insurance companies processing claims with compliance requirements"],"limitations":["May miss non-standard or unusual identifier formats","Over-redaction could obscure relevant medical information","Requires verification that all PHI has been properly removed"],"requires":["Digitized medical documents with identifiable information","Clear redaction policies and PHI definitions"],"input_types":["medical documents","text with PHI"],"output_types":["redacted documents","de-identified records","compliance-ready files"],"categories":["legal","healthcare","compliance"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_wisedocs__cap_7","uri":"capability://legal.medical.document.batch.processing","name":"medical-document-batch-processing","description":"Processes large volumes of medical documents in batch mode, applying OCR, classification, extraction, and analysis to hundreds or thousands of records simultaneously. Dramatically reduces processing time compared to manual review.","intents":["I need to process 500+ medical records for a large case quickly","I want to automate document processing for multiple cases at once","I need to handle high-volume document intake without manual bottlenecks"],"best_for":["Large law firms with high-volume litigation practices","Insurance companies processing thousands of claims","Medical record custodians managing bulk digitization projects"],"limitations":["Batch processing may take hours or days for very large volumes","Quality control becomes more challenging at scale","Errors in batch processing affect many documents simultaneously"],"requires":["Large collections of medical documents","Sufficient platform processing capacity","Clear processing parameters and templates"],"input_types":["bulk document uploads","document collections","batch file lists"],"output_types":["processed document sets","batch processing reports","organized document libraries"],"categories":["legal","healthcare","automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_wisedocs__cap_8","uri":"capability://legal.medical.document.integration.with.case.management","name":"medical-document-integration-with-case-management","description":"Integrates processed medical documents and extracted data with existing legal case management and document management systems. Enables seamless workflow between Wisedocs and firm infrastructure.","intents":["I want to automatically import processed documents into our case management system","I need to sync extracted data with our existing legal workflows","I want to avoid manual re-entry of data into our document management system"],"best_for":["Law firms with established case management systems","Organizations with complex document management workflows","Teams seeking to minimize manual data transfer"],"limitations":["Integration quality depends on compatibility with specific case management platforms","May require custom configuration for non-standard workflows","Data mapping errors could corrupt case management records"],"requires":["Compatible case management or document management system","API access or integration connectors","Clear data mapping specifications"],"input_types":["processed documents","extracted data","structured records"],"output_types":["integrated case files","synced document records","case management updates"],"categories":["legal","integration","workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_wisedocs__cap_9","uri":"capability://legal.medical.document.quality.assurance.and.verification","name":"medical-document-quality-assurance-and-verification","description":"Provides tools for human reviewers to verify AI-extracted data and classifications, flag uncertain extractions, and provide feedback to improve accuracy. Enables quality control workflows for sensitive legal matters.","intents":["I need to verify AI extractions before using them in litigation","I want to flag documents that need human review due to OCR errors","I need to ensure accuracy for high-stakes medical evidence"],"best_for":["Legal teams handling sensitive medical malpractice cases","Organizations with strict quality requirements","Teams processing documents that will be used in court"],"limitations":["Quality assurance adds time to document processing","Requires trained reviewers to verify medical content","Subjective judgments may vary between reviewers"],"requires":["Human reviewers with medical or legal knowledge","Clear verification protocols and standards","Time allocation for review process"],"input_types":["AI-extracted data","classified documents","OCR results"],"output_types":["verified data","quality assurance reports","flagged items for manual review"],"categories":["legal","healthcare","quality-assurance"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":47,"verified":false,"data_access_risk":"high","permissions":["Medical documents in image or PDF format","Reasonable document quality (legible text)","Digitized or text-extracted medical documents","Clear document type definitions","Processed and extracted medical data","Sufficient document volume for meaningful statistics","Clear reporting parameters and metrics","Digitized medical documents with clear text","Predefined extraction templates or field mappings","Indexed medical documents in the platform"],"failure_modes":["OCR accuracy degrades significantly on handwritten notes","Non-standard medical forms may require manual verification","Complex medical notation and abbreviations may be misinterpreted","Unusual or non-standard document types may be misclassified","Hybrid documents containing multiple record types may be tagged incorrectly","Requires training on firm-specific classification schemes","Analytics quality depends on accuracy of underlying data extraction","May oversimplify complex medical situations","Requires interpretation by medical or legal professionals","Accuracy depends on document clarity and standardization","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.45,"quality":0.88,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:34.117Z","last_scraped_at":"2026-04-05T13:23:42.533Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=wisedocs","compare_url":"https://unfragile.ai/compare?artifact=wisedocs"}},"signature":"ohlkOgHOiZuBvZIABibZdEgihHKPZOHEKisuKXTghAZBI9xt6XCs8bNXDr/xLkgWdm9faS7qHeAu5JLDN7f+Cw==","signedAt":"2026-06-21T07:17:57.810Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/wisedocs","artifact":"https://unfragile.ai/wisedocs","verify":"https://unfragile.ai/api/v1/verify?slug=wisedocs","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}