Legal AI

What is legal AI?

Legal AI refers to AI tools built specifically for the legal domain, such as case research, contract analysis, document drafting and intake triage, instead of a generic AI assistant used without adapting to legal vocabulary and risk. The key difference is attention to terminology, confidentiality and mandatory human review before any output is used in production.

Why "generic" isn't enough

A general-purpose AI model can hold a fluent conversation about almost anything, including law. But without context and review, it tends to hallucinate a statute, precedent or clause that doesn't exist, with a fluency that fools anyone who doesn't check the source. A well-built legal AI tool reduces that risk by grounding the model in trustworthy sources (the firm's own document base, real case law) and always requiring human review before any official use of the content.

Where the difference shows up in practice

Confidentiality is the most sensitive part: client and case data shouldn't flow through a public AI tool without control over data retention and use, which matters as much as answer quality. Terminology matters too, since a model tuned or prompted with the correct legal vocabulary for the jurisdiction makes fewer mistakes than a generic assistant without that context. And traceability, knowing where each generated passage came from (which document, which clause), is what makes human review fast instead of a full rewrite.

How to evaluate a legal AI tool before adopting it

Worth asking: does the firm's data stay contained (no training a third party's model on it), can you trace the source of every answer, and is there a human review step before any output reaches the end client? Without those three answers, the risk of error outweighs the speed gain.