IP and product ownership
Who owns code, design, content, documentation and brand assets.
We help founders and technology teams structure product, sales, data and IP foundations. We quickly identify what must be secured now.
Startup risks change with product stage. This block helps identify the right starting point quickly.
Law in a startup should support sales and development, not add friction. That is why we first structure the elements that come back fastest with clients, investors, data and IP.
Who owns code, design, content, documentation and brand assets.
How the client contract, SaaS terms, implementation, SLA and liability are structured.
GDPR, DPA, vendors, authorisations, incidents and baseline InfoSec practices.
Rules for AI tools, input data, responsibility and regulatory risk.
A team building an MVP has different risks than a startup after first clients, and different again than a company preparing a round or enterprise cooperation.
01
At this stage, the priority is to let the product launch safely and make sure rights to what is being created sit with the company or founders.
Good for product launch, pilot or first users.
02
When clients, vendors and larger implementations appear, contracts, GDPR and liability need to be structured. This is when documents start to work in practice.
Good for first B2B clients, enterprise buyers and partners.
03
At growth stage, legal work should support repeatable sales and operational safety. We help create standards that can be reused.
Good before a funding round, sales scaling and working with larger clients.
We can help with one specific issue or structure a larger area from start to finish. We match the scope to your stage, budget and what needs to work in sales, product or compliance.
For whom: For teams at MVP, pilot or first-client stage.
Includes
Result: The startup knows what is secured, what remains a risk and what to do next.
For whom: For subscription products, platforms and B2B tools.
Includes
Result: Sales gets a document standard that can scale.
For whom: For startups processing client, user, patient, employee or sensitive data.
Includes
Result: Compliance reflects the real processes and tools used by the team.
For whom: For teams using AI in product, customer support, data analysis or everyday work.
Includes
Result: The team knows when and how to use AI without adding uncontrolled risk.
Usually it is not an abstract legal problem, but a specific situation: a client sends a contract, an investor asks about IP, the team uses AI, or sales needs quick structure.
We help assess risks, prepare comments and negotiate the clauses that matter.
We verify whether rights to code, design and documentation actually go where they should.
We structure terms of service, DPA, SLA, payments, liability and cooperation exit rules.
We organise documents, rights, contracts, data and key risks before due diligence.
We create AI usage rules, risk mapping and recommendations for processes and contracts.
We help make the decision, prepare documentation and structure communication.
Not everything needs to be done at once. Some topics should not be postponed, because later they cost more time, stress and money.
Does the company or founders own rights to code, design and content?
Do contractor agreements transfer rights in the right scope?
Does the product have terms, privacy policy and cookies adapted to the model?
Is it clear who is controller, processor and subprocessor?
Is there a DPA for clients and vendors?
Does the team know what data must not be entered into AI tools?
Can you show a client baseline security procedures?
Has the brand been checked for trademarks?
Does the contract template support sales instead of restarting negotiations every time?
We work so the founder quickly knows what is critical, what can wait and which decisions are needed before the next move.
01
We identify stage, product model, clients, data, IP and nearest business goal.
02
We separate must-have from nice-to-have. We show what to do now, what later and why.
03
We prepare concrete wording, support negotiations and help implement decisions in the team.
Not always. At the beginning, the key is to identify what data you process, for what purpose, in which tools and with whom it is shared. Then we match documents to real risk and product stage.
We can also support teams before company registration. At this stage, founder arrangements, rights to the product, contractor relationships and preparation for first sales are often critical.
Yes. We often start with an agreement review or preparing a contract template. If additional risks appear, we include them in priorities.
Not always, but it is worth checking early whether the product or company name conflicts with existing marks. Registration makes sense when the brand starts to gain value or will be scaled more broadly.
In many teams, yes, at least in a simple form. The point is clear rules about what data cannot be entered, who validates outputs and when extra control is required.
Yes. For startups, an hourly package or ongoing support is often the best option, because legal topics stay close to sales, product, HR, data and client relations.
In 30 minutes, we identify startup stage, product model, goal and risks. This makes it easier to choose a scope of support that fits real needs, without unnecessary documents.
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