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Code & Clause Legal
@code_andclause
Legal Partner For Technology Companies, Teams & Innovators. We Protect Your Ideas, And Power Your Growth. [email protected]
U.K, United States, Africa
Joined June 2025
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65 Followers
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Technology moves fast. Your legal should keep up.
Code & Clause Legal is a premium legal services firm built for the technology industry - from founders and startups to scaling technology companies and enterprise tech teams operating across global markets.
We handle the legal infrastructure that keeps your product protected, your investors confident, and your operations compliant p, wherever you build.
IP ownership. Fundraising documents. AI governance. Compliance frameworks. Contracts built for scale.
This is not generalist law. This is legal built for technology.
Visit https://t.co/CBGRgnuhPd to explore all service tiers or contact [email protected] to get started.
Claude can be your cofounder until it shells you a confident wrong advice that have you losing., that we promise you, have zero recourse.
Claude can be your co-founder.
@pmitu Well…Claude cannot own equity or enter binding agreements.
Our legal team have been reviewing the AI Regulations across countries as our clients continue to ask similar questions.
We want to say that there is no credible evidence that governments are planning to ban open-source AI models entirely.
What is happening is increased regulation around frontier and high-risk AI systems, not open-source AI in general.
It is majorly controlling powerful AI model capabilities, preventing misuse, and also national security risk’s concerns.
Look at it as access controls and governance frameworks like the EU AI Act.
Open-source models will exist, but the most advanced models could face tighter distribution rules.
The shift is toward tiered regulation rather than elimination of open development.
We are still looking at the future developments too.
THEY 👏 ARE 👏 GOING 👏 TO 👏 BAN 👏OPENSOURCE 👏 MODELS.
You should be freaking out.
@gordon_cassie We don’t think building AI for lawyers is wise😅. But we will keep our sentiments to ourselves.
Making law more accessible for tech builders is more our thing.
Pretty sure no law firm cares about fine tuned models so all this Harvey PR must be targeted at investors…
@ordonez_adan We said it here.
We think founders should be using AI for legal support.
Most founders are already using AI to:
• Research a legal issue
• Understand a regulation or legal concept
• Draft a first version of a contract or policy
• Sense-check an idea before speaking to a lawyer
And honestly, that’s ok because AI is native to productivity.
Where the problem lies is when founders assume the answer is correct simply because it sounds confident.
The biggest challenge with AI is not generation.
It is validation.
An AI-generated contract can look polished, commercially sensible, and legally sophisticated.
Yet it can still be completely wrong for:
• The way your product actually works
• Your pricing and revenue model
• How you’re collecting, using, and sharing customer data
• The markets you’re expanding into
• The investor, enterprise customer, or commercial deal sitting in front of you
We’ve also found that the quality of AI’s legal output depends heavily on the quality of the user’s input.
The prompt and context matters.
The follow-up questions matter.
Most importantly, knowing what to ask, how to ask it and what to challenge matters.
Using AI effectively is becoming a professional skill in its own right.
At Code & Clause Legal, we don’t see AI as a replacement for technology lawyers. We see it as a powerful tool that, when used correctly, can make legal work faster, productive, more efficient, and better informed.
That’s why we offer our AI Compliance & Governance service to help technology companies building with AI and founders with AI-drafted documents, architecture, AI product flows have the legal human and expert oversight over their AI-generated outputs.
We help tech companies move beyond simply using AI to build or otherwise and ensuring they have the legal and governance frameworks needed to deploy it responsibly, scale it confidently, and comply with evolving regulations.
AI can help you produce a product, code, workflow, draft, automation, architecture etc.
Our role is to ensure AI-generated output reflects your product, interest, intent, your commercial model, your regulatory obligations, and the realities of how your startup/company really operates.
The question isn’t whether your company should use AI.
The question is whether you are using it with the right legal guardrails.
#ArtificialIntelligence #AICompliance #TechnologyLaw #TechLaw #AIGovernance #Startups #Scaleups #CommercialContracts #CodeAndClause
We think founders should be using AI for legal support.
Most founders are already using AI to:
• Research a legal issue
• Understand a regulation or legal concept
• Draft a first version of a contract or policy
• Sense-check an idea before speaking to a lawyer
And honestly, that’s ok because AI is native to productivity.
Where the problem lies is when founders assume the answer is correct simply because it sounds confident.
The biggest challenge with AI is not generation.
It is validation.
An AI-generated contract can look polished, commercially sensible, and legally sophisticated.
Yet it can still be completely wrong for:
• The way your product actually works
• Your pricing and revenue model
• How you’re collecting, using, and sharing customer data
• The markets you’re expanding into
• The investor, enterprise customer, or commercial deal sitting in front of you
We’ve also found that the quality of AI’s legal output depends heavily on the quality of the user’s input.
The prompt and context matters.
The follow-up questions matter.
Most importantly, knowing what to ask, how to ask it and what to challenge matters.
Using AI effectively is becoming a professional skill in its own right.
At Code & Clause Legal, we don’t see AI as a replacement for technology lawyers. We see it as a powerful tool that, when used correctly, can make legal work faster, productive, more efficient, and better informed.
That’s why we offer our AI Compliance & Governance service to help technology companies building with AI and founders with AI-drafted documents, architecture, AI product flows have the legal human and expert oversight over their AI-generated outputs.
We help tech companies move beyond simply using AI to build or otherwise and ensuring they have the legal and governance frameworks needed to deploy it responsibly, scale it confidently, and comply with evolving regulations.
AI can help you produce a product, code, workflow, draft, automation, architecture etc.
Our role is to ensure AI-generated output reflects your product, interest, intent, your commercial model, your regulatory obligations, and the realities of how your startup/company really operates.
The question isn’t whether your company should use AI.
The question is whether you are using it with the right legal guardrails.
#ArtificialIntelligence #AICompliance #TechnologyLaw #TechLaw #AIGovernance #Startups #Scaleups #CommercialContracts #CodeAndClause
@16vchq Legal support for tech companies, teams, startups and founders.
Google did not breed new set of millionaires. Google was not enough. Google was concentrated. AI gave normal people better autonomy and chance.
Nobody wants to admit it, but Google was enough.
Have you ever asked why most big tech are suddenly updating their DPAs and Privacy Policies.
But your product and website don’t have a properly drafted one.
https://t.co/JHGvhaSpwX
@pmitu Just wing it
AI-generated code in your repo is great for velocity, but ensure human oversight for copyright ownership. Best practice is substantial modifications plus internal review policy before merging. Devs, how strict are you?
@FounderEric Some of the members of our legal team have built/run a startup before because advising startups as a startup lawyer and a founder too hits better.
Nobody understands more than who is or has been there.
5 Things To Know Before You ship a Vibe-Coded App
Vibe-coded apps are getting sued. Before you ship your vibe-coded apps, know these.
1. Data protection is not an optional infrastructure
The moment you collect user data, you’re in regulated territory (GDPR in the UK/EU, CCPA in the US).
Most AI-built apps ship before they even define lawful basis, retention, or breach handling.
2. “No logs, no liability” is not true
If something goes wrong and you have no audit trail (auth events, data access logs, admin actions), you get both security issue and a gap in evidence trails of your app.
3. Third-party tools shift, not remove, liability
@Supabase, @Stripe, @OpenAI, etc. reduce engineering load, but you still remain the data controller in most setups. That means obligations don’t disappear.
4. Security misconfigurations turns to contractual exposure
A breached database can trigger breach notification duties, regulatory penalties, and in some cases investor disclosure obligations.
5. IP and contractor risk sits underneath all of this.
Even if your app is secure, missing IP assignment or unclear contractor terms can mean you don’t legally own what you shipped.
Shipping fast and on vibes is fine. But shipping without governance, ownership clarity, and compliance awareness is where startups quietly become uninvestable.
Code & Clause Legal.
10 Things to Know if You are Shipping Vibe Coded App
1. Protect yourself, not just your app.
The moment you collect user data, you step into legal responsibility (GDPR, CCPA, UK GDPR). You need clear privacy documentation and full visibility of where user data lives and how it is processed.
2. Row Level Security matters more than you realise.
Without proper access policies, your database is exposed. A misconfigured setup means anyone can potentially access sensitive data. This is not theoretical risk.
3. Most tech teams only test ideal flows.
Real failures happen in edge cases example repeated login attempts, broken resets, duplicate signups, and unexpected user behaviour. That is where production issues actually emerge.
4. Do not skip security fundamentals.
Headers, authentication hardening, and baseline protections are not “advanced work” they are minimum requirements for any production app handling real users.
5. OWASP-level vulnerabilities still take down modern apps.
Injection flaws, broken authentication, and exposure issues do not disappear because you used AI to generate code. They still exist unless explicitly checked and handled.
6. Validation must always happen on the server.
Client-side checks improve experience, but they are not security controls. Any system that trusts the browser is already exposed.
7. Sensitive data leaks happen quietly,
in environment exposure, over-permissive API responses, or accidental logging. These are the most common and most overlooked breach points.
8. API keys in frontend environments are public.
Once exposed, they should be assumed compromised. Secure architecture keeps secrets entirely server-side or behind controlled proxies.
9. Unrestricted endpoints can destroy infrastructure costs overnight. Without rate limiting, even a small app can be financially attacked through legitimate API usage patterns.
10. Public-facing forms must be protected against automated abuse.
Proper bot mitigation and domain-level restrictions are important once you have real traffic.
https://t.co/4jKGGpqTIQ
@paulg @ycombinator Second predictor is strong compliance. If they are smart enough to protect themselves, they know what they are doing and where they are going.
You can’t build a scalable tech company and ignore your legal structure.
If I ask for your IP ownership chain, contractor agreements, cap table, or equity vesting terms and you can’t clearly answer, then what exactly are you scaling?
There is a difference between building and owning
https://t.co/OGaBHIPXoW
Biotech startups are often attractive acquisition targets because they can create highly defensible intellectual property.
A successful drug candidate, gene therapy platform, synthetic biology process, or diagnostic technology can be protected by patents that are difficult and expensive to work around.
Many scientists spend years making breakthrough discoveries but never capture the value because discovery alone is not enough.
A PhD student, postdoc, or researcher spends four years making a breakthrough.
Who owns it?
Always:
* The university
* The research institute
* The employer
* The company funding the research
Not the scientist.
The inventor may be named on the patent, but ownership is assigned elsewhere through employment agreements, university policies, or funding arrangements these people never read through.
Also Researchers Publish Before They Protect
So they are just rewarded for:
* Papers
* Citations
* Academic recognition
But Investors buy:
* Exclusivity
* IP protection
* Commercial rights
The wealth in biotech can only be preserved through:
* Patent portfolios
* Licensing rights
* Spinouts
* Royalty streams
* Equity
However, most small biotech startup teams just didn’t get the right counsel. The one available for them never affordable, BECAUSE IT IS BIOTECH.
At Code & Clause Legal, we help biotech and synthetic biology teams with early legal counsel and to secure the legal foundation behind their discoveries.
Because a discovery without an IP strategy is just a publication waiting to happen.
📩 [email protected]
🌐 https://t.co/CBGRgnuhPd
#Biotech #SyntheticBiology #HealthTech #DeepTech #BiotechStartups #IntellectualProperty #Innovation #StartupLaw
Do you know that a longer vesting schedule does not “protect your startup.”
It locks you the founder or co-founder into decisions you may not be able to afford later.
That trade-off is not explained clearly enough.
We do.
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