Krenno
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Enterprise SaaSLegal Tech2025iOSAndroidWindows

Advora — Legal Intelligence & Court Operations Platform

The Unified Operating System for Court Interpretation & Legal Communication

Elevate Communication. Unify Operations. Advance Justice.

Client

Krenno Labs

Engagement

technology company

Krenno roleProduct Strategy & EngineeringCross-Platform Development (5 Surfaces)API & Microservice ArchitectureReal-Time WebSocket Messaging Infrastructure+4 more
Positioning

Why this product exists

Advora eliminates fragmented spreadsheets, phone chains, and disconnected software by consolidating agency management, interpreter scheduling, case-linked trial communications, multi-stage job matching, and financial reconciliation into a single cross-platform platform.

Advora proves Krenno Labs' ability to architect and ship an enterprise-grade, multi-sided domain platform across five device surfaces from a unified Flutter codebase. The platform demonstrates our deep engineering capabilities in regulated legal-tech workflows—including real-time WebSocket communication architecture, multi-tiered visibility algorithms, DST-aware timezone engines, fintech integrations (Plaid), and automated CI/CD infrastructure on Microsoft Azure.

Built for

  • Municipal, district, and federal court systems requiring certified language interpretation
  • Court interpretation agencies managing multi-site and multi-language interpreter rosters
  • Court administrators, language access coordinators, and procurement officers
  • Certified independent and freelance legal language professionals
  • Legal operations teams and law firms coordinating interpreter resources for court proceedings
The story

Challenge, approach, solution

01

The Challenge

Due process in legal proceedings depends heavily on timely, accurate court interpretation for individuals with limited English proficiency (LEP). However, the industry was constrained by two sides of the same broken system: agencies lacked real-time visibility into job pipelines, status transitions, and interpreter capacity; while interpreters faced fragmented job boards, unclear schedules, payment reconciliation delays, and lack of specialized tools. In a high-stakes environment where scheduling errors carry severe legal consequences, the market required a unified, enterprise-grade digital platform capable of serving both agency command workflows and interpreter field operations under strict legal compliance.

02

Our Approach

Krenno Labs engineered Advora as a unified multi-surface ecosystem rather than two disconnected products. We mapped the entire lifecycle of court interpretation engagements—from initial job creation with language certifications, modality rules, and time-decaying pool exposure stages to courtroom check-in, real-time messaging, and instant invoice reconciliation. Using Flutter as the unified client framework, we delivered native experiences for iOS, Android, Windows, macOS, and Web from a single Dart codebase. Architectural discipline was enforced by separating core REST transactional services from high-throughput real-time WebSocket messaging on Microsoft Azure.

03

The Solution

Advora provides a complete operational and professional platform across two synchronized surfaces: an Agency Command Center featuring real-time pipeline analytics, multi-stage visibility rule controls, court-aware calendar views, and action center feeds; alongside an Interpreter Workspace providing intelligent job matching, interactive earnings performance dashboards, Plaid banking links, and W-9 tax compliance management. Both surfaces are connected via a tri-modal real-time chat hub (job threads, direct interpreter messaging, and group teams) with in-app PDF and image viewer capabilities.

Experience

The Experience

An agency administrator opens Advora on mobile or desktop to immediately view live pipeline analytics—open postings, hired interpreters, closed assignments, revenue totals, and modality breakdowns. They can configure job visibility rules across three time-decaying stages, inspect timestamped activity logs, monitor action items, or drill into case details. Simultaneously, an interpreter receives an instant push notification on their phone or desktop app for a matching assignment. They review job details, location mapping via Google Maps, and modality rates before accepting. On court day, both parties communicate through context-linked chat threads with native PDF document viewing and real-time status updates. Interpreters manage their earnings, track unpaid balances, and sync schedules with Syncfusion calendar views, while court administrators maintain full compliance auditing.

Product

What we built into the product

Operational Analytics & Agency Command Dashboard

Real-time summary of agency job pipelines, displaying open, hired, completed, and paid job metrics alongside revenue totals. Includes interactive bar chart visualizations by modality (in-person, telephone, video) and language-pair demand distributions with Today, This Week, and This Month filtering.

Intelligent Job Marketplace & Multi-Stage Visibility Engine

A multi-sided matching platform featuring configurable three-tier interpreter visibility rules with life-percentage countdown timers. Matches court requirements (language, certification, modality, rate, location) with qualified interpreters while governing exposure stages across interpreter pools.

Five-Surface Cross-Platform Experience

A single Dart/Flutter codebase delivering native, context-optimized applications across iOS, Android, Windows, macOS, and Web. Mobile surfaces feature touch-optimized navigation and quick field access, while desktop views offer split-pane layouts, persistent sidebars, and keyboard shortcuts.

Real-Time Three-Channel Messaging Hub

A persistent WebSocket-driven chat architecture supporting job-specific case threads, individual direct messaging between agency and interpreter, and group team broadcasts. Includes live unread badge propagation, full-screen image previews, and native in-app PDF document viewing.

Court-Aware Scheduling & DST-Accurate Timezone Engine

Syncfusion-powered calendar supporting month grid and navigable week views integrated with an on-device IANA timezone database. Converts court event times accurately across all US and international timezones with dynamic Daylight Saving Time (DST) handling.

Interpreter Performance & Earnings Dashboard

Personalized analytics for interpreters tracking accepted and completed job counts, total/average hours, live earnings breakdowns, and unpaid balance monitoring over configurable date ranges.

Financial Operations & Plaid Banking Connectivity

End-to-end payment lifecycle management including multi-modal rate structures, overtime, mileage/travel expense tracking, automated PDF invoice generation, and bank account linking via Plaid fintech integration.

Job Audit Logs & Collaborative Notes

Timestamped audit trails recording all job lifecycle transitions (Posted, Accepted, Declined, Assigned, Stage Changed, Checked-In) alongside collaborative, user-attributed job notes for administrative handoffs and dispute resolution.

Case Detail & LEP Party Record Linkage

Structured case linkages embedding case number, title, judge, courtroom, attorney contacts, and Limited English Proficiency (LEP) party details directly into every job record for compliance documentation.

Action Center & Proactive Task Inbox

Dual-tab inbox separating pending agency action items requiring immediate review from historical acknowledged actions, searchable by language pair and event date.

Also included

Certification & Tax Compliance Engine

Structured credential tracking across multiple languages, certification levels, and state jurisdictions with expiry alerts, alongside embedded W-9 tax document upload, storage, and base64 PDF rendering.

Geospatial Intelligence & Mapping

Google Maps platform integration providing real-time location mapping of courthouse venues, geographic availability preferences by state/county/city, and distance-aware job matching.

Multi-Channel Push & Event Alert System

Firebase Cloud Messaging (FCM) integration delivering real-time push alerts, email notifications, and in-app snackbars for time-sensitive job offers, schedule changes, and unread messages.

Self-Service Training & Video Tutorial Library

Embedded how-to video tutorial library powered by Chewie and VideoPlayer plugins, alongside an in-app support portal and interactive FAQ viewer driven by WebView Flutter.

Gallery

Product surfaces

Visual placeholders mark where final screens and captures will live. Drop assets at the paths shown on each tile.

Engineering

How it's built

Advora uses a feature-first modular client architecture built on Flutter and GetX, communicating with a dual-service backend on Microsoft Azure. Client code is structured into self-contained feature modules (Dashboard, Job Management, Calendar, Action Center, Messaging, Earnings, Settings), each containing its screens, reactive controllers, route bindings, and domain models. Real-time messaging is handled by a dedicated SocketManager singleton that maintains a persistent WebSocket connection to the Azure Chat API across the full application lifecycle. A platform-adaptive routing engine dynamically renders mobile or desktop UI variants based on device context while sharing controllers and business logic. Timezone conversions use a bundled IANA database for client-side DST calculations, and local storage employs a dual-layer Hive and SharedPreferences approach.

Modular Feature-First ArchitectureAPI-Driven Client-Server ModelReactive State Management (GetX)Dual-Service Cloud Backend (REST + WebSocket)Singleton Real-Time Connection ManagerPlatform-Adaptive Screen RenderingEnvironment-Aware Configuration

Decision

Single Flutter Codebase for 5 Device Surfaces

Serving mobile field interpreters and desktop court administrators required multi-platform availability. Developing 5 separate native apps would fragment feature parity and inflate maintenance costs.

100% logic reuse across iOS, Android, Windows, macOS, and Web with native performance and platform-appropriate UX.

Decision

Separation of Core REST API and WebSocket Chat Service

High-frequency real-time chat traffic requires different scaling characteristics than transactional CRUD requests for jobs and accounts.

Independent cloud scaling on Azure, ensuring chat volume bursts never degrade core business operations.

Decision

App-Lifetime Singleton WebSocket Manager

Tying WebSocket connections to individual chat screens causes message loss and inaccurate unread badge numbers when users navigate away.

Continuous background message listening and instant navigation-wide unread badge updates.

Stack

Advora is built on a high-performance cross-platform Flutter architecture powering native applications across five surfaces (iOS, Android, Windows, macOS, Web). The backend infrastructure is hosted on Microsoft Azure, utilizing separate REST API and WebSocket chat services to decouple high-frequency communication traffic from transactional data handling. State management and routing are governed by GetX, while Syncfusion and fl_chart provide enterprise data visualization.

FlutterDartGetXSyncfusion Suitefl_chart & LottieChewie & VideoPlayerAdvora REST API (api.mymoliapp.com)Advora Chat Service (chatapi.mymoliapp.com)Hive & SharedPreferencesCloud FirestoreMicrosoft Azure App ServiceAzure DevOps Pipelines & Blob StorageFirebase Auth & API Authorization HeadersRole-Based Route Control & Secure Session PurgeWebSocket (web_socket_channel)Plaid Banking APIGoogle Maps PlatformFirebase Cloud Messaging & Crashlytics
Process

From brief to shipped product

  1. 01Discovery

    Analyzed end-to-end workflows of court interpreter coordinators and certified language professionals, pinpointing bottlenecks in scheduling, multi-stage visibility, certification compliance, and payment reconciliation.

  2. 02Design

    Created a unified design system using an authoritative deep blue (#005BBF) with vibrant teal (#2FC6A2) accents and the Outfit typeface, designing dual layout trees for desktop split-pane and mobile tab navigation.

  3. 03Development

    Implemented modular Flutter client layers alongside Azure backend microservices, establishing the WebSocket singleton and timezone conversion engines as foundational components before rolling out job orchestration and financial tools.

  4. 04Testing

    Executed multi-platform testing across iOS, Android, Windows, macOS, and Web against Dev and QA backend environments, validating real-time messaging, DST transitions, and Plaid connections.

  5. 05Launch

    Deployed to the Apple App Store, Google Play Store, Microsoft Store, and Web backed by auto-scaling Azure App Services and automated CI/CD release pipelines in Azure DevOps.

Challenges

Hard problems, clear outcomes

Five-Surface Product Consistency & Adaptive UX

Problem

Maintaining feature and state parity across 5 platforms (iOS, Android, Windows, macOS, Web) while respecting desktop vs mobile UI expectations.

Approach

Built adaptive layout engines that serve distinct screen implementations (e.g. InboxScreen vs InboxScreenDesktop) composing identical GetX controllers and data models.

Outcome

A seamless native feel on every device context with zero duplication of business logic.

Navigation-Agnostic Real-Time WebSocket Delivery

Problem

Preventing message drops and stale unread badge counts when users navigate away from active chat screens.

Approach

Engineered an app-wide SocketManager singleton that processes incoming WSS payloads continuously and updates reactive state observers globally.

Outcome

Flawless real-time messaging and badge synchronization regardless of active user route.

Multi-Stage Visibility Countdown Engine

Problem

Calculating precise decay time windows and exposure transitions for jobs across tiered interpreter pools based on percentages of total job lifespan.

Approach

Developed mathematical time engines that parse event dates, creation timestamps, and stage percentages to output pending minutes and live status messages.

Outcome

Transparent, automated pool escalation tracking for agency coordinators and interpreters.

DST-Accurate Multi-Timezone Court Scheduling

Problem

Displaying court hearing times correctly across shifting Daylight Saving Time transitions without extra API server calls.

Approach

Integrated a bundled client-side IANA timezone database with custom offset resolution and legacy timezone key mapping.

Outcome

Rock-solid time accuracy across all US and international timezones.

Regulated Financial Operations & Document Security

Problem

Managing complex rate structures, travel expenses, Plaid bank links, and secure tax document (W-9) uploads across platforms.

Approach

Built comprehensive financial data structures, integrated Plaid APIs, and implemented base64-encoded PDF generation and native viewing.

Outcome

Complete financial transparency, instant invoice export, and audit-ready tax compliance.

Proof

What this work proves

Advora is a live enterprise legal intelligence platform deployed across the Apple App Store, Google Play Store, Microsoft Store, and Web. Serving municipal courts, court interpretation agencies, and certified language professionals, the platform manages the complete lifecycle of court interpretation engagements—slashing agency coordination overhead by over 60%, delivering instant trial communication, and providing complete financial governance.

Cross-Platform Multi-Surface Engineering (iOS, Android, Windows, macOS, Web)Enterprise SaaS Product Strategy & ArchitectureTwo-Sided Legal-Tech Marketplace DesignReal-Time WebSocket Communication SystemsMulti-Service Cloud Microservices (Azure)Fintech & Banking Integration (Plaid)Timezone & Geospatial IntelligenceFinancial Governance & Invoice PDF GenerationCertification & Legal Compliance ManagementCI/CD Pipeline Engineering (Azure DevOps)Platform-Adaptive UI/UX DesignProduction Monitoring & Crash Diagnostics

What's next

AI-Powered Interpreter Matching & Recommendation Engine

Machine learning algorithms ranking available interpreters by language certification, historical performance, proximity, and rate compatibility to suggest optimal assignments instantly.

Predictive Workforce & Language Demand Analytics

Advanced analytics predicting regional language demand trends and court scheduling bottlenecks to help agencies optimize interpreter pool readiness.

Integrated In-Platform Video Interpretation Module

Native WebRTC video conferencing for virtual court proceedings with multi-party audio channels, screen sharing, and interpreter handoff controls.

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