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Glossary.

Plain-language definitions for the terms that come up around document automation and AI legal drafting.

Document automation
Software that assembles a document from a template built around rules: based on how you answer a series of questions, the template's logic determines which clauses, text, and calculations to include — and in what form — then inserts them into the right places. Sometimes called document assembly or rule-based drafting. Commonly used for contracts and other legal documents that follow a repeatable structure but vary in their details, such as Lawlift's Document Automation.
AI contract drafting
Using generative AI to write, or help write, a contract or other legal document — from a prompt, from an existing template, or by adapting a similar past document. Some tools generate free-form text; others, like Functional Intelligence, constrain the AI to a firm's own approved language.
AI contract review (redlining)
Using AI to read a contract and flag risks, missing clauses, or deviations from a playbook — typically producing suggested edits as tracked changes for a person to accept or reject, rather than rewriting the document autonomously. See how Functional Intelligence handles this.
Tracked changes
A document-editing feature — native to Microsoft Word and central to legal drafting — that records every insertion, deletion, and formatting change as a visible, attributable edit, so a reviewer can see exactly what changed and accept or reject each one individually.
Functional AI
A way of building software that combines deterministic logic with AI, using each for what it does best: fixed rules and functions handle what should be exact and repeatable, while AI handles the parts that need to understand language and meaning — with agentic AI added where autonomous steps add value. The aim is reliability and flexibility at once, rather than trading one for the other as a rules-only system or a plain language model would.
Functional Intelligence
Lawlift's application of Functional AI to legal document work: specialised functions — drafting, review, translation, anonymization, comparison, formatting — that run inside Microsoft Word, each within your own templates, rules, and standards. See Functional Intelligence.
Document anonymization
Automatically detecting and removing or replacing names, addresses, monetary figures, and other identifying details in a document — typically before sharing it externally, using it as a work sample, or processing it for analysis.
Deterministic automation vs. agentic AI
Two different approaches to producing legal documents. Deterministic automation follows fixed rules defined in advance — the same inputs always produce the same output, which makes it predictable and auditable. Agentic AI generates or adapts text dynamically based on context — more flexible, less predictable. Many legal teams need both, which is why Lawlift builds both.
EU data residency
Where a provider's servers — and, for AI tools, where the AI model itself runs — are physically located, and which country's or region's data protection law therefore applies. For EU-based legal teams handling sensitive data, keeping both application hosting and AI processing within the EU is often a compliance requirement, not just a preference. See how Lawlift handles this.