Contextual Intelligence and Summarization
Process massive document sets and surface what matters in seconds using Knovos Insight intelligence.
AI-enabled Review
Identify relevant and non-relevant documents based on entities, aliases, and key relationships across the case narrative. Knovos Insight returns categorized results with supporting excerpts and reviewer-ready relevance insights.
AI-assisted Analysis
Powers advanced document review in Knovos Discovery by automatically identifying relevance, entities, and contextual connections across the entire dataset without manual effort.
Rapid Contextual Summaries
Generate high-level document overviews instantly to grasp key facts without reading every file from start to finish, cutting early case assessment time significantly.
Folder-Level Analysis
Aggregate content across entire folders to identify overarching themes and data patterns that inform review strategy and prioritization across large document collections.
Multilingual Summarization
Break language barriers with the ability to summarize and review documents across more than 150 languages, supporting cross-border matters, multinational investigations, and international arbitration proceedings.
Interactive Q&A
Engage directly with your data by asking natural-language questions about specific document content, getting precise answers without running manual searches through large datasets.
Precision-Driven Intelligent Tagging
Automate the classification of evidence with attorney-grade accuracy using Knovos Insight intelligence.
AI-Suggested Coding
Receive real-time tagging recommendations based on the deep semantic content of each file, helping reviewers move faster without sacrificing coding quality or accuracy.
Custom Taxonomy Mapping
Automatically classify documents across your organization’s unique legal and compliance frameworks, ensuring consistency across large review teams regardless of reviewer experience level.
Confidence Scoring
Every AI suggestion includes a transparent confidence score, allowing reviewers to validate high-impact documents quickly and direct attention to documents that need closer human review.
Bulk Intelligence
Apply AI-driven tagging recommendations across massive document batches to eliminate repetitive manual coding and dramatically reduce the time and cost of large-scale document review.
RAG-Powered Content Retrieval
Identify the key evidence using advanced search and filtering built for legal precision.
Hybrid Search Engine
Combines traditional keyword precision with vector-based retrieval for comprehensive discovery across both structured and unstructured document sets of any size or complexity.
Semantic Similarity
Locate documents that are conceptually related even when they share no common keyword, ensuring that critical evidence is never missed during the eDiscovery document review process.
Paragraph-Level Matching
Pinpoint exact sections of relevance within hundreds of pages for surgical precision during targeted review, reducing the time reviewers spend locating key passages in lengthy documents.
Concept Clustering
Uncover hidden relationships and semantically related terms across your entire document corpus to accelerate early case assessment and guide strategic review prioritization.
AI-Assisted Defensible Document Review
Strengthen eDiscovery document review with advanced machine learning that keeps reviewers in control.
AI Tag Prediction and Classification
Quickly and accurately predicts document tags, speeding up review cycles while keeping reviewers in control of final coding decisions and ensuring accountability at every stage.
Continuous Active Learning (CAL)
The system learns from reviewer decisions in real time, constantly re-prioritizing the most relevant files so that high-value documents are surfaced faster without waiting for overnight batch updates.
Multinomial Predictive Models
Leverage sophisticated AI models to rank and prioritize your review queue across multiple tag categories simultaneously, reducing time spent on low-value documents across the matter lifecycle.
Scientific Reporting
Validate results with comprehensive ROC curves, Confusion Matrices, and F1-score metrics for full transparency, giving courts and regulators the statistical foundation they need to accept AI-assisted review.
Multidimensional Review with Operational Excellence
Eliminate operational friction with a framework built for task accountability and team-wide consistency.
Knovos Insight Seamlessness
The embedded Knovos Insight AI updates tags coded by reviewers immediately, not overnight, so the review model always reflects the latest decisions in real time.
Workflow-led Review Operations
Generate review workflow status reports for oversight, incorporate batch prioritization, and assign batches to reviewers with clear accountability at every stage of the matter.
AI-assisted Prioritization with Automated Rounds
AI tag classification supports a simplified automated approach, letting the workflow create top-ranked or uncertain document batches for targeted reviewer attention.
Analytics Embedded into Review
The analytics layer within review includes email threads, domains, entities, key phrases, images, and near-duplicates, supporting communication network mapping without leaving the review workspace.
Multi-custodian and Multi-load Visibility
Review assessed by classified segments of tag, custodian, and volume, delivering a systematic breakdown of relevant documents across the full matter scope.
Reporting and Privilege Support
Robust reporting including review workflow status reports and an integrated privilege log manager for complete matter oversight and attorney-client privilege documentation.
Tactical Control for Weighty Issues
Access control administration makes review management supervised, guided, and consistently accountable to legal and quality standards throughout the matter lifecycle.
Issue-Based Analysis
Classify documents by case-specific issues with Knovos Insight. This helps legal teams identify issue-linked documents more efficiently and organize review, filtering, batching, and production around the issues that shape case strategy.
Strategic Reviewer Oversight
Optimize your document review workflow with a unified system that defines ownership and eliminates redundant effort across every reviewer and batch.
- Batch assignment with automatic distribution to balance workload across reviewers based on capacity and queue status.
- Reviewer performance dashboards with visibility into speed, accuracy, and pending queue status for supervisory oversight.
- Quality control sampling to validate coding consistency and flag variance before it compounds across large batches.
- Pause and resume batch workflows to manage re-prioritization and escalations without losing progress or context.
- Check in and check out controls to prevent overlap, maintain clear ownership, and reduce costly rework between reviewers.
- Progress tracking with real-time metrics for completion rates and pending workload across all active batches and custodians.
Knovos Discovery Review Artifacts
Built for defensible document review, combining technical strength with intuitive navigation, granular access control, and secure information handling.
- Dynamic review dashboards and AI-assisted review panels to surface priority items and support faster, more consistent decisions.
- High-performance grid review with detailed document navigation for rapid, consistent review cycles across large collections.
- Advanced in-document search using text and date range filters to improve content accessibility and reduce time to findings.
- Review organization through tags, comments, and binders to support collaboration, issue tracking, and structured quality control.
- Integrated review handoffs through connections with processing, production, and downstream systems to maintain continuity and control.
Use case spotlights
Litigation & Arbitration
Managing massive evidentiary footprints for high-stakes disputes
Key challenges
High document volumes, strict court deadlines, and the constant need to protect attorney-client privilege throughout the eDiscovery document review process. Institutional arbitration centers (ICC, LCIA, SIAC) face similar document-intensive demands across cross-border proceedings.
Solutions
- AI-assisted Document Review: Employs continuous active learning to prioritize high-value documents and surface the most relevant evidence earlier in the review cycle.
- Defensible Workflows: Features structured quality control and granular permissions to ensure the review process stands up to tribunal scrutiny at every stage.
Regulatory Investigations
Transparency and control during audits, inquiries, and internal investigations by investigation agencies and forensic firms
Key challenges
Analyzing complex communication data including emails and chat records while maintaining immutable records that satisfy regulatory bodies and withstand scrutiny. Investigation agencies, real estate fraud investigators, financial sector fraud teams, and healthcare compliance teams face similar requirements for defensible document analysis.
Solutions
- Precise Filtering: Leverages metadata and full-text search to isolate transaction-related records and specific timeframes relevant to the regulatory inquiry.
- Audit Readiness:Maintains immutable audit logs that track every reviewer action, ensuring total transparency for regulatory bodies and counsel.
- Sensitive Data Protection:Uses PII analytics and automated redaction to protect sensitive financial and personal information from unauthorized exposure before disclosure.
Defensible by Design, Unwavering by Security
- Data protection in transit and at rest
- Role-based access and granular permissions
- Comprehensive audit logs of all reviewer actions
- Support for regional data residency and BYC, BYDC, and BYAIM deployment models
- Alignment with relevant security standards and legal obligations
FAQs
Related Resources
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