Costs are reasonable.
Focus on essential functions, properly use existing models and systems. Allocate budget to what must be built, aiming to reduce development and operation costs.
HOME / DEVELOPMENT
INSIDE THE INTELLIGENCE
This is AI's
The "brain"It is.
From a single point to connections.
Touch the sphere and peek inside the AI.
An interactive image representing a neural network.
01 / NEURAL NETWORK
Points connect,
Information is conveyed.
Neural networks, the foundation of AI, consist of many interconnected computational units that process input information using connection strengths (weights) to produce results.
- 点Unit that receives and processes information.
- 線Connecting calculation units, a path to convey information.
- Red lightExpressing responses to input: dots glow brightly near the cursor, and light runs along the connections.
Actual AI does not glow red or gather dots to think. During learning, weights are adjusted; during inference, these learned weights are used. This sphere does not represent the internal calculations or learning of the real model.
02 / CHOOSE THE RIGHT MODEL
If the objective changes,
The "brain" changes too.
Whether handling words, moving lightly, or predicting world changes, choosing a model suited to the purpose is the starting point of development. For challenges beyond existing models, developing original models is an option.
LARGE LANGUAGE MODEL
A large brain handling words.
A large-scale language model that learns patterns from massive texts, predicts the next words in context to generate sentences. Used for a wide range of language tasks such as dialogues, summarization, and document creation.
SMALL LANGUAGE MODEL
Essential capabilities, delivered compactly.
A small-scale language model with reduced parameters. If its use and performance fit, it eases computational resources and execution costs, making it suitable for device and internal environment use. Speed and accuracy vary by model and device.
LARGE WORLD MODEL
Predicting "what happens next."
A model that learns changes caused by environmental states and actions to predict and generate future states. Used in AI research and development for real-world applications such as simulations and action planning.
LARGE ACTION MODEL
From words to action.
A model that assembles operations and actions based on instructions and leads to execution. It integrates with external tools and systems to support business operations.
VISION LANGUAGE MODEL
Handle images and words together.
A model that processes visual information like images combined with text. Used to describe images and answer questions about visible content.
MIXTURE OF EXPERTS
Use specialized parts selectively according to processing needs.
A model structure that selects and computes parts from multiple components called experts according to input. Designed to balance model capacity and computational efficiency.
Required features and performance vary by usage scenario. It is important to select the appropriate model and configuration according to purpose, accuracy, speed, cost, and execution environment.
LWM refers to large-scale world models. MoE represents the model structure and is used in combination with LLM, VLM, and others.
FROM INTELLIGENCE TO YOUR BUSINESS
That intelligence,
Empowering your business.
For AI contract development, contact LEGALISS.
From selecting and adjusting existing models to developing custom original models for clients. We connect internal data, integrate it into systems, and make it usable on-site. LEGALISS manages the entire development process seamlessly.
Try small and shape quickly.
First, confirm the direction with a working prototype. The same team handles both the model and system to smoothly connect verification to implementation.
Check quality at the site of use.
Check not only visual perfection but also answer accuracy, response speed, and usability. Evaluate according to business conditions and continuously improve.
- In-house AI infrastructureGenerative AI operating in internal and private environments
- Original model developmentDesign and development of customer-specific models like LLM, SLM, and world models tailored to purpose and company data. Also supports adjusting existing models.
- Business SystemsIntegration of AI Agents, Apps, and Existing Systems
- Physical AIEmbedding AI into devices and robots
HOW WE WORK
From consultation to operation.
- 01Organize Issues
We inquire about business, budget, and preferred timing.
- 02Try and Verify
Verify feasibility with small prototypes.
- 03Development & Implementation
Implement necessary functions and integrations.
- 04Operation & Improvement
We develop according to usage conditions.
LET’S BUILD TOGETHER
Even if it's still just an idea.
Please start by consulting with us.
Starting with "Can it be done?" and "How long will it take?" is fine.
We will work together to find an approach that fits your objectives, budget, and schedule.