AI Wrapper

The rapid advancement of large language model APIs has made it easy to build products that appear to offer AI-powered legal assistance. An AI wrapper typically takes a user's query, adds a pre-written system prompt instructing the model to act as a legal assistant, sends it to an API like OpenAI's, and returns the response in a branded interface. The wrapper adds little to no proprietary technology.

For legal professionals, the distinction between a wrapper and a purpose-built platform matters enormously. Wrappers inherit all the limitations of the underlying model: hallucinations, lack of access to current case law, no citation verification, and the model's general-purpose training that may not reflect the precision legal work demands. They also raise security concerns, as queries may be sent to third-party servers without the data governance controls that legal ethics require.

Identifying wrappers is an important skill for lawyers evaluating AI tools. Key indicators include: inability to cite specific cases from verified databases, no citation verification capability, reliance on a single model provider, lack of SOC 2 or equivalent security certifications, and inability to explain how they prevent hallucinations beyond prompting strategies.