Legal Software Development
Law is one of our deepest areas of delivery. We build software and AI for legal data, document-heavy workflows and professional research, including the AI data pipeline behind D-Law, a legal intelligence platform. We combine workflow design, software engineering, data integration and AI capabilities to build solutions that fit how teams actually work.
Common Challenges
- Large volumes of case documents and structured records
- Manual extraction and indexing
- Search across complex legal data
- Accuracy requirements in regulated workflows
- Need to connect existing legal portals and databases
Solutions We Can Deliver
Legal intelligence platforms
AI-OCR and document structuring
Natural-language database querying
Semantic search and RAG
Case/document workflow tools
Dashboards and reporting
AI for Law Firms, Legal Publishers and Legal Data Providers
AI-OCR and structuring of court and case documents
Semantic search and RAG over case law and internal precedents
Natural-language querying of litigation databases
Due-diligence and litigation analytics dashboards
Human-in-the-loop verification for accuracy-critical fields
Legacy legal portals and databases extended with AI, not replaced
AI Modernization of Legacy Systems → AI-Powered Data Analytics →
Architecture & Integration Patterns
- Portal or web application
- Database and search layer
- OCR/document pipeline
- LLM/RAG layer where appropriate
- Human verification for critical fields
- API integration
Relevant Experience
- D-Law case study: 4M+ court proceedings processed, 50% reduction in manual staff and 70% faster document processing.
- MultiLLM AI Platform: natural-language querying of databases, private knowledge bases and OCR agents, the platform behind the D-Law pipeline.
- MFP-based AI document apps: OCR, searchable PDFs, translation and data extraction embedded in office multi-function devices.
- Docinight: a mobile app with AI-powered OCR features for documents, similar in function to our MFP app.
How We Work in This Industry
We begin with the business process, users, source systems and risk points. We then define the information model, workflows, integrations and permission model before selecting technology. This prevents a solution from becoming a collection of disconnected features and keeps delivery aligned to the operational outcome.
Frequently asked questions
Can you integrate with existing systems?
Can we start with one workflow?
Do you support AI and non-AI solutions?
Can the solution run on-premises?
Talk to a Technical Specialist
Tell us which workflow, system or user problem you want to improve. We can help scope the solution and identify the right combination of software, data and AI.