Deep SaaS Expertise
Lawyers with genuine experience in SaaS and cloud infrastructure
Commercial Contract Management and Design for SaaS & AI Companies
Contracts negotiated by lawyers who actually understand how software and AI work.
Built for Modern Software Businesses
Most commercial contracts break down because the lawyers involved don't understand the technology they're papering.
They know contract law—but not how SaaS products are architected, how data actually flows through modern systems, how AI models are trained, deployed, and constrained, or where technical risk is real versus hypothetical.
Technical Fluency Built In
Story's commercial contract management and design services are built by lawyers with genuine technical fluency in software and AI.
AI Privacy Specialists
Routinely handling AI-industry DPAs and data governance
Engineer-Lawyers
Software engineers who are also lawyers, building enterprise contract systems
That technical depth lets us negotiate contracts more intelligently, more credibly, and with far less friction than traditional firms. This isn't just commercial law—it's contracts engineered around how modern software actually operates.
What Commercial Contract Management Means at Story
Commercial contract management is not drafting in isolation. It is the system that governs how your revenue contracts are designed, negotiated, tracked, and improved over time.
At Story, that system is built by lawyers who understand both the legal consequences of contract language, and the technical realities that language is supposed to reflect. We manage contracts as living infrastructure, not static PDFs.
Why Real Software & AI Fluency Changes Negotiation Outcomes
Enterprise lawyers push hardest where they sense uncertainty—or technical misunderstanding. When your counsel can't confidently explain why a data request is unnecessary, how an AI system is constrained, or why a liability scenario is technically impossible—you lose leverage, time, and negotiating position.
Story's lawyers don't translate your product second-hand. They understand it directly.
SaaS architectures (multi-tenant, single-tenant, hybrid)
APIs, integrations, and subprocessors
AI model training, inference, and deployment constraints
Data minimization and purpose limitation in practice
How SLAs, uptime commitments, and service credits map to real systems
This allows us to:
Push back precisely instead of defensively
Narrow DPAs to what your system actually does
Avoid conceding hypothetical risks that don't exist
Speak credibly to enterprise privacy and security teams
Negotiations move faster because the other side realizes they are dealing with lawyers who know the technology cold.
AI Privacy & Data Processing Expertise
AI contracts are not just SaaS contracts with extra words. Story has AI privacy experts who regularly design and negotiate specialized AI agreements.
We design and negotiate:
-
AI-industry DPAs
-
Data use and training restrictions
-
Model improvement clauses
-
Audit and transparency provisions
We understand the difference between:
-
Training data vs. inference data
-
Customer-provided inputs vs. derived outputs
-
Operational logs vs. personal data
-
Theoretical AI risk vs. actual system behavior
That distinction matters—and most firms miss it.
AI Contracts for Companies Building and Deploying AI
What Are AI Contracts?
AI contracts are commercial agreements that govern how artificial intelligence systems are built, trained, deployed, and monetized—especially how data, models, and outputs may be used. Unlike traditional SaaS contracts, AI contracts must address how training data is sourced and restricted, whether customer data may be used to improve models, how outputs are generated and owned, and how risk is allocated for probabilistic systems.
Why AI Contracts Are Different from SaaS Contracts
Many firms treat AI agreements as standard SaaS contracts with added privacy language. That approach fails because AI systems behave differently.
Probabilistic outputs
Which change warranty and liability analysis
Training vs. inference
Raising distinct legal and regulatory issues
Derived data and outputs
Which may be treated differently than source inputs
Regulatory sensitivity
Particularly in enterprise and regulated environments
Story designs AI contracts with these distinctions in mind from the start.
AI Contracts Built for Diligence and Scale
AI contracts are scrutinized heavily in fundraising, acquisitions, and regulatory reviews.
Survive investor and acquirer diligence
Scale across customers without renegotiation
Remain compatible with evolving AI regulations
This prevents the need to re-paper your entire customer base later.
What We Design
We design and manage the full lifecycle of modern software and AI commercial contracts:
-
SaaS MSAs and subscription agreements
-
Enterprise customer agreements
-
AI-specific data processing addenda
-
Order forms and modular deal structures
-
Licensing and usage terms aligned with product realities
Every document is built around your actual system architecture, not generic assumptions.
How This Is Powered Internally
Story's contract work is backed by internal systems most firms don't have.
Our software-engineer lawyers:
-
Build enterprise-grade contract forms
-
Design legal knowledge graphs that track contract positions
-
Power the Aegis platform that supports ongoing contract intelligence
Your contracts don't just get negotiated—they get smarter over time.
Designed for Revenue, Not Just Risk
We don't over-optimize for edge-case disasters at the expense of closing deals.
Our commercial contract design prioritizes:
-
Payment clarity and enforceability
-
Practical suspension rights
-
Liability caps aligned with real exposure
-
Assignment and exit flexibility
-
Clean diligence later
Contracts should support growth today and withstand scrutiny tomorrow.
Who This Is For
-
B2B SaaS and AI companies
-
Founders selling to enterprise or regulated customers
-
Teams preparing for Series A or later diligence
-
Companies tired of renegotiating every deal
If your product is technical, your lawyers should be too.
How We're Different
Most firms either understand law but not software, or understand technology but don't run legal operations.
Story combines:
Technically fluent lawyers
AI privacy specialists
Engineer-lawyers building internal systems
Ongoing contract management via the Aegis platform
All operated by Story LLP, with accountability for outcomes—not just documents.
Ready for Contracts That Actually Fit Your Technology?
If you want contracts negotiated by lawyers who understand how your software and AI actually work, speak credibly to enterprise counsel, and build systems—not just agreements.
Ask a question for free, or start a subscription to design and manage your commercial contracts the right way from day one.
We're lawyers, remember? Please read this important note:
Story LLP is a law firm, and Story's lawyers built Aegis to deliver better, standard legal services at scale so founders can choose between elite specialized lawyers and standardized process automations that replicate those lawyers according to their needs and budget. By definition, a standardized process may not be perfect for you. Please review our Policies page to better understand the difference, as well as how we use AI and how we manage conflicts, privilege, etc.
As a law firm, we must screen clients for conflicts of interest, and we treat all correspondence with clients seeking legal advice as privileged and confidential to the maximum extent possible in consideration of any conflicts. However, Story's law firm or our Attorney Allies do not represent you or your company as your lawyer, do not have an attorney-client relationship with you or your company, and do not provide you with legal advice absent a formal Engagement Letter signed between you and the Story LLP law firm. Please don't confuse the free knowledge we offer on this site with legal advice for you.