LegalFab Dialog

Version: 1.0 Last Updated: January 2026

Component Overview

The Dialog component serves as the central conversational intelligence layer for the LegalFab platform, enabling users to interact naturally across all system components (Knowledge Fabric, Studio, Marketplace, Exchange) through a unified, context-aware interface that works seamlessly across web and messaging applications.

Core Capabilities:

Capability	Description
Intelligent Routing	Routes user queries to appropriate system components
Multi-Level Processing	Handles complex queries across multiple platform areas
Cross-Platform Continuity	Maintains context between web and messaging apps
Long-Term Memory	Preserves conversation history across sessions
Natural Language Understanding	Extracts intent, entities, and context
Document Processing	Handles document uploads within conversations

Architecture Overview

┌─────────────────────────────────────────────────────────────────────────┐
│                           CLIENT LAYER                                  │
│  ┌─────────────────────────────┐  ┌─────────────────────────────┐       │
│  │         Web App             │  │     Messaging Mini-App      │       │
│  └──────────────┬──────────────┘  └──────────────┬──────────────┘       │
└─────────────────┼────────────────────────────────┼──────────────────────┘
                  │                                │
                  ▼                                ▼
┌─────────────────────────────────────────────────────────────────────────┐
│                       DIALOG API GATEWAY                                │
│  ┌─────────────────────────────────────────────────────────────────┐    │
│  │  Authentication │ Session Mgmt │ Rate Limiting │ Response Format│    │
│  └─────────────────────────────────────────────────────────────────┘    │
└─────────────────────────────────────────────────────────────────────────┘
                  │
                  ▼
┌─────────────────────────────────────────────────────────────────────────┐
│                    DIALOG COMPONENT CORE                                │
│                                                                         │
│  ┌─────────────────────────────────────────────────────────────────┐    │
│  │              NATURAL LANGUAGE UNDERSTANDING (NLU)               │    │
│  │  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐              │    │
│  │  │   Intent    │  │   Entity    │  │  Context    │              │    │
│  │  │ Classifier  │  │  Extractor  │  │  Analyzer   │              │    │
│  │  └─────────────┘  └─────────────┘  └─────────────┘              │    │
│  └─────────────────────────────────────────────────────────────────┘    │
│                                                                         │
│  ┌─────────────────────────────────────────────────────────────────┐    │
│  │                      DIALOG MANAGER                             │    │
│  │  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐              │    │
│  │  │    State    │  │   Action    │  │  Response   │              │    │
│  │  │   Machine   │  │   Planner   │  │  Generator  │              │    │
│  │  └─────────────┘  └─────────────┘  └─────────────┘              │    │
│  └─────────────────────────────────────────────────────────────────┘    │
│                                                                         │
│  ┌─────────────────┐  ┌─────────────────┐  ┌─────────────────┐          │
│  │    Context      │  │    Function     │  │   Document      │          │
│  │    Manager      │  │    Router       │  │   Processor     │          │
│  └─────────────────┘  └─────────────────┘  └─────────────────┘          │
└─────────────────────────────────────────────────────────────────────────┘
                  │
                  ▼
┌─────────────────────────────────────────────────────────────────────────┐
│                      INTELLIGENCE LAYER                                 │
│  ┌─────────────────┐  ┌─────────────────┐  ┌─────────────────┐          │
│  │   LLM Engine    │  │   Exact Cache   │  │  Semantic Cache │          │
│  │   (LightLLM)    │  │                 │  │                 │          │
│  └─────────────────┘  └─────────────────┘  └─────────────────┘          │
│                                                                         │
│  ┌─────────────────────────────────────────────────────────────────┐    │
│  │                      MEMORY LAYER                               │    │
│  │  ┌─────────────────────┐  ┌─────────────────────────────────┐   │    │
│  │  │  Short-Term Memory  │  │       Long-Term Memory          │   │    │
│  │  │  (Current Session)  │  │      (Cross-Session)            │   │    │
│  │  └─────────────────────┘  └─────────────────────────────────┘   │    │
│  └─────────────────────────────────────────────────────────────────┘    │
└─────────────────────────────────────────────────────────────────────────┘
                  │
                  ▼
┌─────────────────────────────────────────────────────────────────────────┐
│                      PLATFORM COMPONENTS                                │
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐     │
│  │  Knowledge  │  │   Studio    │  │ Marketplace │  │  Exchange   │     │
│  │   Fabric    │  │             │  │             │  │             │     │
│  └─────────────┘  └─────────────┘  └─────────────┘  └─────────────┘     │
└─────────────────────────────────────────────────────────────────────────┘

Dialog API Gateway

The Dialog API Gateway serves as the single entry point for all conversational interactions across platforms.

Gateway Responsibilities

Function	Description
Request Routing	Routes messages to appropriate handlers
Load Balancing	Distributes load across dialog instances
Authentication	Validates user identity
Session Management	Maintains conversation sessions
Cross-Platform Sync	Synchronizes context between platforms
Rate Limiting	Controls request frequency
Response Formatting	Adapts responses for different clients

Gateway Security Controls

Control	Implementation
TLS Termination	All traffic encrypted with TLS 1.3
Token Validation	JWT verification with short expiry
Request Validation	Schema validation on all inputs
IP Allowlisting	Optional restriction to known IPs
Audit Logging	All requests logged with correlation IDs
DDoS Protection	Rate limiting and traffic analysis

Natural Language Understanding (NLU)

The NLU layer extracts structured information from user messages to enable intelligent routing and response generation.

NLU Components

Component	Purpose
Intent Classifier	Determines user’s primary intention
Entity Extractor	Identifies key information (names, dates, amounts)
Context Analyzer	Understands conversation context and history
LLM Integration	Uses LightLLM router for model-agnostic processing

Intent Classification

Intent Category	Examples	Routing Target
Knowledge Query	“Find cases related to…”	Knowledge Fabric
Agent Request	“Create an agent for…”	Studio
Asset Search	“Show me available tools for…”	Marketplace
Data Exchange	“Share this dataset with…”	Exchange
System Command	“Show my recent activity”	Platform Core
Clarification	Ambiguous or incomplete requests	Clarification flow

NLU Security Controls

Control	Implementation
Input Sanitization	Strip malicious content before processing
Injection Prevention	Detect and block prompt injection attempts
PII Detection	Identify sensitive data for appropriate handling
Length Limits	Maximum input length enforcement
Language Detection	Validate supported languages
Content Filtering	Block prohibited content types

Dialog Manager

The Dialog Manager orchestrates conversation flow, state management, and decision-making throughout the interaction lifecycle.

Core Functions

Function	Description	Security Control
State Tracking	Maintains current conversation state	State integrity validation
Action Planning	Determines next steps based on input and context	Authorization checks
Function Orchestration	Coordinates calls to platform components	Permission propagation
Response Generation	Creates appropriate responses	Output filtering
Context Validation	Validates information completeness	Slot validation

State Machine Design

┌─────────────────────────────────────────────────────────────────────────┐
│                       DIALOG STATE MACHINE                              │
├─────────────────────────────────────────────────────────────────────────┤
│                                                                         │
│         ┌──────────────────────────────────────────────────┐            │
│         │                                                  │            │
│         ▼                                                  │            │
│      ┌──────┐     user_message      ┌────────────┐         │            │
│  ───▶│ IDLE │─────────────────-────▶│ PROCESSING │         │            │
│      └──────┘                       └─────┬──────┘         │            │
│         ▲                                 │                │            │
│         │                    ┌────────────┼────────────┐   │            │
│         │                    │            │            │   │            │
│         │        intent_identified   ambiguous       error │            │
│         │                    │            │            │   │            │
│         │                    ▼            ▼            │   │            │
│         │              ┌─────────┐  ┌───────────┐      │   │            │
│  response_sent         │ ROUTING │  │CLARIFYING │      │   │            │
│         │              └────┬────┘  └─────┬─────┘      │   │            │
│         │                   │             │            │   │            │
│         │       functions_selected   clarification     │   │            │
│         │                   │          received        │   │            │
│         │                   ▼             │            │   │            │
│         │             ┌───────────┐       │            │   │            │
│         │             │ EXECUTING │◀──────┘            │   │            │
│         │             └─────┬─────┘                    │   │            │
│         │                   │                          │   │            │
│         │      ┌────────────┼────────────┐             │   │            │
│         │      │            │            │             │   │            │
│         │  results      function     user_intervention │   │            │
│         │  received      failed        needed          │   │            │
│         │      │            │            │             │   │            │
│         │      ▼            ▼            │             │   │            │
│         │ ┌────────────┐ ┌───────┐       │             │   │            │
│         └─│ RESPONDING │ │ ERROR │───────┴─────────────┘   │            │
│           └────────────┘ └───┬───┘                         │            │
│                              │                             │            │
│                              └─────────────────────────────┘            │
│                                    error_handled                        │
└─────────────────────────────────────────────────────────────────────────┘

State Definitions

State	Description	Security Considerations
IDLE	Waiting for user input	Session timeout monitoring
PROCESSING	Analyzing user request	Input validation active
ROUTING	Determining appropriate components	Authorization pre-check
EXECUTING	Calling platform functions	Permission enforcement
RESPONDING	Generating user response	Output filtering
CLARIFYING	Requesting additional information	Context isolation
ERROR	Handling errors and recovery	Secure error messages

State Transition Security

Control	Implementation
Transition Validation	Only valid state transitions allowed
Timeout Enforcement	Maximum time in each state
Context Integrity	State changes validated against context
Audit Trail	All transitions logged
Rollback Capability	Revert to previous state on failure

Context Manager

The Context Manager maintains conversation context across sessions and platforms, enabling coherent multi-turn interactions.

Context Structure

Context Type	Scope	Retention	Security
Short-Term Memory	Current session	Session duration	Encrypted in-memory
Long-Term Memory	Cross-session	Configurable (default 90 days)	Encrypted at rest
Platform Context	Per-platform state	Platform-specific	Isolated per platform
User Preferences	Persistent settings	Until changed	User-controlled

Context Components

Component	Content	Purpose
Conversation History	Recent messages and responses	Multi-turn understanding
Entity Memory	Extracted entities from conversation	Reference resolution
Intent History	Previous intents and actions	Pattern recognition
Session Metadata	Platform, device, timestamp	Context switching
User Profile	Preferences, permissions, roles	Personalization

Cross-Platform Synchronization

Strategy	Description	Use Case
Real-Time Sync	Critical changes pushed immediately	Active conversations
Periodic Sync	Regular checkpoints every 30 seconds	Background updates
On-Demand Sync	Full refresh when switching platforms	Platform transitions

Context Security Controls

Control	Implementation
Encryption	AES-256 encryption for all stored context
Access Control	User-scoped context access only
Data Minimization	Store only essential context data
Retention Limits	Automatic purge after retention period
Export Controls	User can request context export/deletion
Isolation	Strict tenant and user isolation

Function Router

The Function Router directs validated requests to appropriate platform components and manages the response flow.

Routing Strategy

Component	Function Categories	Authorization
Knowledge Fabric	Search, query, graph traversal	Data access permissions
Studio	Agent creation, pipeline execution	Studio access rights
Marketplace	Asset search, acquisition	Marketplace permissions
Exchange	Data sharing, collaboration	Exchange entitlements

Routing Security

Control	Implementation
Permission Verification	Check user permissions before routing
Function Whitelisting	Only registered functions callable
Parameter Validation	Validate all function parameters
Rate Limiting	Per-function rate limits
Circuit Breaker	Disable failing components automatically
Response Validation	Validate component responses

Multi-Component Query Processing

For complex queries requiring multiple platform components:

┌─────────────────────────────────────────────────────────────────────────┐
│                   MULTI-LEVEL QUERY PROCESSING                          │
├─────────────────────────────────────────────────────────────────────────┤
│                                                                         │
│  User Query: "Find supply chain optimization solutions"                 │
│                                                                         │
│  ┌─────────────────┐                                                    │
│  │ Intent Analysis │  Identifies as optimization request                │
│  └────────┬────────┘                                                    │
│           │                                                             │
│           ▼                                                             │
│  ┌─────────────────┐                                                    │
│  │ Domain Analysis │  Recognizes supply chain context                   │
│  └────────┬────────┘                                                    │
│           │                                                             │
│           ▼                                                             │
│  ┌─────────────────────────────────────────────────────────────┐        │
│  │              PARALLEL COMPONENT ROUTING                     │        │
│  │  ┌───────────────┐ ┌───────────────┐ ┌───────────────┐      │        │
│  │  │Knowledge      │ │  Marketplace  │ │    Studio     │      │        │
│  │  │Fabric: Search │ │ Find agents/  │ │ Identify      │      │        │
│  │  │datasets       │ │ tools         │ │ components    │      │        │
│  │  └───────┬───────┘ └───────┬───────┘ └───────┬───────┘      │        │
│  │          │                 │                 │              │        │
│  │          └─────────────────┼─────────────────┘              │        │
│  │                            │                                │        │
│  └────────────────────────────┼────────────────────────────────┘        │
│                               ▼                                         │
│  ┌─────────────────┐                                                    │
│  │Result Synthesis │  Combines findings into comprehensive response     │
│  └────────┬────────┘                                                    │
│           │                                                             │
│           ▼                                                             │
│  ┌─────────────────┐                                                    │
│  │ Recommendation  │  Suggests specific actions/assets                  │
│  │   Generation    │                                                    │
│  └─────────────────┘                                                    │
└─────────────────────────────────────────────────────────────────────────┘

Document Processor

The Document Processor handles document uploads within conversations, extracting relevant information based on conversation context.

Supported Formats

Format	Extraction Capabilities
PDF	Text, tables, images, metadata
DOCX	Text, formatting, embedded objects
TXT	Plain text content
RTF	Rich text with formatting
HTML	Structured content, links
Markdown	Formatted text, code blocks

Processing Pipeline

Stage	Description	Security Control
Upload Validation	Verify file type and size	Format whitelist, size limits
Malware Scan	Scan for malicious content	Antivirus integration
Content Extraction	Extract text and structure	Sandboxed processing
Context Matching	Match content to conversation context	Permission verification
Entity Extraction	Identify relevant entities	PII detection
Response Integration	Incorporate findings into dialog	Output filtering

Document Security Controls

Control	Implementation
File Type Validation	Strict whitelist of allowed formats
Size Limits	Maximum file size enforcement
Malware Scanning	All uploads scanned before processing
Sandboxed Processing	Document processing in isolated environment
Content Filtering	Remove potentially malicious content
Retention Policy	Documents purged after processing
Access Logging	All document access logged

Intelligent Caching System

The caching system optimizes response times through a two-layer architecture.

Cache Architecture

Layer	Type	Purpose	Performance
Layer 1	Exact Match Cache	Identical queries and responses	< 1ms lookup
Layer 2	Semantic Cache	Embedding-based similarity matching	< 10ms lookup
Layer 3	Function Cache	Platform component responses	< 50ms lookup

Cache Security

Control	Implementation
User Isolation	Cache entries scoped to user
Encryption	Cache data encrypted at rest
TTL Enforcement	Automatic expiration
Invalidation	Event-driven cache clearing
Access Control	Permission-aware cache retrieval

Cache Invalidation

Trigger	Action
TTL Expiration	Automatic removal after time limit
Data Change	Invalidate on underlying data modification
Permission Change	Clear cache on permission updates
Manual Flush	Administrative cache clearing
Security Event	Emergency cache purge on security incidents

Performance and Scalability

Response Time Targets

Query Type	Target	Maximum
Simple queries	< 200ms	500ms
Complex multi-component queries	< 2s	5s
Context loading	< 100ms	250ms
Document processing	< 5s	30s

Scalability Architecture

Component	Scaling Strategy
Dialog Gateway	Horizontal auto-scaling
NLU Service	GPU-backed instances with load balancing
Dialog Manager	Stateless horizontal scaling
Context Manager	Distributed cache with replication
Function Router	Connection pooling, circuit breakers

Error Handling and Recovery

Error Classification

Error Type	Example	Recovery Strategy
Transient	Network timeout, rate limit	Retry with exponential backoff
Permanent	Invalid input, missing resource	User notification, clarification
Component	Platform service unavailable	Circuit breaker, fallback response
Security	Authentication failure, injection	Block, log, alert

Graceful Degradation

Scenario	Fallback Behavior
LLM Failure	Simpler rule-based responses
Component Timeout	Partial results with notification
Context Unavailable	Fresh conversation start
Cache Miss	Direct component query

Error Security

Control	Implementation
Secure Error Messages	No sensitive data in error responses
Error Logging	Detailed internal logging for debugging
Rate Limiting	Prevent error-based probing
Circuit Breaker	Automatic component isolation on failures

Security and Privacy

Data Protection

Data Type	Protection Measure
Conversation Content	Encrypted in transit and at rest
User Context	User-scoped access, encryption
Document Uploads	Temporary storage, automatic purge
Cache Data	Encrypted, TTL-enforced

Privacy Controls

Control	Implementation
Data Minimization	Store only essential conversation data
Retention Limits	Configurable retention with automatic purge
User Control	Export and deletion capabilities
Anonymization	Option to anonymize conversation logs
Consent Management	Clear consent for data processing

Security Monitoring

Metric	Alert Threshold
Failed Authentication	> 10 per minute per user
Injection Attempts	Any detected attempt
Unusual Query Patterns	Statistical anomaly detection
Response Time Degradation	> 2x normal latency
Error Rate Spike	> 5% error rate

Audit Logging

Logged Events

Event Category	Logged Data	Retention
Conversation Start	User ID, platform, timestamp	1 year
Message Processed	Intent, entities (hashed), response type	1 year
Function Called	Function ID, parameters (sanitized), result status	1 year
Document Processed	Document type, size, processing result	1 year
State Transition	From state, to state, trigger	1 year
Error Occurred	Error type, context (sanitized)	2 years
Security Event	Event type, details, action taken	2 years

Log Security

Control	Implementation
Integrity	Cryptographic hash chain
Confidentiality	Logs encrypted at rest
Access Control	Auditor role required
PII Handling	Sensitive data hashed or redacted
Retention	Configurable per regulation

Integration with Platform Components

Knowledge Fabric Integration

Function	Description	Security
Semantic Search	Natural language queries to knowledge graph	Query authorization
Entity Lookup	Resolve entities mentioned in conversation	Access control
Graph Traversal	Navigate relationships in context	Permission propagation

Studio Integration

Function	Description	Security
Agent Invocation	Execute agents via conversation	Agent permissions
Pipeline Trigger	Start workflows from dialog	Workflow authorization
Creation Assistance	Guide agent/pipeline creation	Creation permissions

Marketplace Integration

Function	Description	Security
Asset Search	Find relevant tools and agents	Search permissions
Asset Details	Retrieve asset information	Detail access
Acquisition	Initiate asset acquisition	Purchase authorization

Exchange Integration

Function	Description	Security
Share Initiation	Start data sharing workflows	Share permissions
Collaboration	Coordinate multi-party interactions	Collaboration authorization
Access Requests	Handle data access requests	Request validation