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How to Draft a SaaS Master Services Agreement Under Texas Law for AI-Powered Customer Support Tools (2026)

A Texas-governed SaaS Master Services Agreement (MSA) for AI customer-support tools should cover at least 12 core issues—data rights, security, uptime, and AI risk allocation among them. Because these platforms process personal data and business confidential information at scale, small drafting gaps can create outsized liability. This article explains a 2026-ready Texas-law drafting framework, including […]

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How to Draft a SaaS Agreement for AI-Powered Tools to Limit Data Privacy and IP Liability Under U.S. Law

Business Technology / Jack Gilbert

A well-drafted SaaS agreement for AI tools can reduce exposure under at least four recurring U.S. legal risk buckets: data privacy, security, IP ownership, and third‑party claims. AI-powered SaaS adds unique issues (model training, prompts/outputs, and vendor subprocessors) that traditional templates often miss. This article outlines the key U.S.-law clauses, negotiation positions, and sample drafting

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How to Draft a Vendor Cybersecurity Addendum That Limits Liability After a Data Breach Under New York Law

Business Security and Risk Management / Jack Gilbert

A well-drafted vendor cybersecurity addendum can cap breach-related exposure through three core levers: tight indemnity language, a defined liability cap, and clear security/notice duties. Under New York law, these clauses are generally enforceable in commercial contracts when negotiated and not barred by public policy. This article explains how to draft an addendum that reduces post-breach

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How to Draft an Indemnification Clause That Survives California Civil Code § 2778 in SaaS Vendor Contracts

Business Risk Management / Jack Gilbert

California Civil Code § 2778 supplies 7 default rules that courts read into most indemnity provisions unless your SaaS contract clearly states otherwise. For California-facing SaaS vendors and enterprise customers, these defaults can unexpectedly expand the defense duty and shift control of litigation. This article explains how to draft an indemnification clause that aligns with

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How to Draft Enforceable SaaS Terms of Service for a Subscription App Using AI-Generated Content in 2026

Business Technology / Jack Gilbert

Enforceable SaaS Terms of Service in 2026 typically require (at minimum) clear assent, conspicuous key terms, and documented version control to withstand U.S. contract challenges. Subscription apps that deploy AI-generated content face added risk around IP ownership, output liability, and regulatory disclosure. This article explains how to draft, present, and operationalize SaaS ToS for AI

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How to Draft a SaaS Agreement for an AI-Powered Vendor to Protect Your Business from Data Breach and IP Claims

Business Technology / Jack Gilbert

A well-drafted SaaS agreement can reduce breach and IP exposure by allocating liability, mandating security controls, and locking down data/AI training rights in writing. AI-powered vendors create extra risk because they process sensitive data and may reuse inputs for model improvement. This article explains the core clauses attorneys should draft to protect customers from data

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