Technology domains
Patent work fails quietly when nobody understands the invention.
Operational rigour is worth very little if the person reading the claims cannot follow the technology. Matters are allocated by subject matter, to professionals whose background actually matches the invention — not distributed by whoever is free. No individual is presented as covering every field.
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Artificial Intelligence
- Generative AI
- Large language models
- Agentic systems
- Computer vision
- Natural language processing
- Model architectures
- Training pipelines
- Inference optimisation
Machine Learning
- Supervised and unsupervised learning
- Reinforcement learning
- Feature engineering
- Recommendation systems
- Predictive analytics
- Federated learning
- MLOps
Software
- Distributed systems
- Cloud and edge computing
- Databases and vector stores
- Compilers and runtimes
- Developer tooling
- Enterprise and SaaS platforms
- APIs and protocols
Telecommunications
- 5G and 6G
- Radio access networks
- Standard-essential patents
- Modulation and coding
- Network slicing
- Optical transport
- Satellite communications
Semiconductors
- Device physics
- Process and fabrication
- Lithography
- Packaging and interconnect
- Memory technologies
- Analog and mixed signal
- Chip architecture
Electronics
- Circuit design
- Power electronics
- Embedded systems
- Sensors and transducers
- Signal processing
- PCB and hardware design
- Test and measurement
Robotics
- Manipulators and end effectors
- Motion planning
- Control systems
- Autonomous navigation
- Human-robot interaction
- Perception stacks
- Actuation
Industrial Automation
- Process control
- SCADA and PLC systems
- Machine vision
- Predictive maintenance
- Digital twins
- Factory robotics
- Safety systems
Internet of Things
- Connected devices
- Low-power protocols
- Edge analytics
- Device management
- Smart metering
- Building and home automation
- Industrial IoT
Mechanical Engineering
- Machine design
- Thermodynamics and fluid systems
- Structural analysis
- Tribology
- Mechanisms and linkages
- HVAC
- Precision engineering
Automotive
- Electric powertrains
- Battery systems
- ADAS and autonomy
- Vehicle dynamics
- Charging infrastructure
- In-vehicle networks
- Thermal management
Chemicals
- Organic and inorganic synthesis
- Catalysis
- Polymers
- Specialty and fine chemicals
- Process chemistry
- Formulations
- Agrochemicals
Materials Science
- Composites
- Nanomaterials
- Coatings and surfaces
- Metallurgy
- Ceramics
- Functional materials
- Characterisation
Pharmaceuticals
- Small molecules
- Formulations and delivery
- Polymorphs and salts
- Process patents
- Combination therapies
- Regulatory interface
- Second medical use
Biotechnology
- Biologics and biosimilars
- Gene editing
- Cell and gene therapy
- Antibodies
- Fermentation and bioprocessing
- Sequencing
- Synthetic biology
Medical Devices
- Diagnostics
- Implantables
- Imaging systems
- Surgical instruments
- Wearables and monitoring
- Digital health software
- Drug-device combinations
Energy
- Solar and wind
- Energy storage
- Hydrogen
- Grid and transmission
- Nuclear
- Carbon capture
- Energy management systems
Manufacturing
- Additive manufacturing
- Machining and forming
- Assembly automation
- Quality and inspection
- Supply chain systems
- Packaging machinery
- Industrial processes
Consumer Products
- Appliances
- Personal care
- Food technology
- Textiles
- Packaging
- Sporting goods
- Product architecture
FinTech
- Payments and settlement
- Distributed ledger
- Risk and fraud systems
- Trading infrastructure
- Digital identity
- RegTech
- Core banking platforms
Deep Technology
- Quantum computing
- Photonics
- Space systems
- Advanced sensing
- Neurotechnology
- Metamaterials
- Fusion
Cross-disciplinary matters
The hard inventions rarely sit in one box.
An autonomous industrial system involves mechanical engineering, embedded electronics, computer vision, machine learning and control theory. A digital health product involves devices, sensors, cloud software and diagnostics. A semiconductor process invention combines materials science, process engineering and metrology.
Interdisciplinary matters are routed to professionals whose backgrounds match the invention, rather than forced into a single practice bucket because that is how the firm happens to be organised. Technical classification and allocation involve human oversight; routing is not presented as fully autonomous.
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