Yes. Legal AI can draft using your firm's own precedents, templates and drafting standards when those materials are supplied as sources and instructions for the task. Gist lets lawyers create reusable skills from their templates, examples and standard documents, then draft and edit in Microsoft Word or the Gist web app. For a drafting process with several steps or custom integrations, Gist's deployment team can build and maintain a custom agent. In either case, a lawyer needs to check the draft before relying on it.
What does drafting from your own precedents mean?
A precedent shows how your firm handled a similar matter. A template provides a starting structure. A playbook or drafting standard explains which positions to use, which alternatives are acceptable, and when to ask a lawyer. These materials serve different purposes: a signed agreement may be a useful example, but its negotiated concessions should not automatically become your opening position on the next deal.
A useful AI drafting setup combines the approved starting document, the facts of the new matter and instructions about how to adapt the text. That gives the tool a defined basis for the draft and gives the reviewing lawyer something concrete to check against.
Does the AI need to be trained on our documents?
Using documents as sources for a task does not, by itself, require training a foundation model on them. A tool can read relevant materials while preparing a draft and apply instructions about structure, clauses and style. That is different from using those materials to change a model's parameters through training.
Check both the platform's terms and the terms for any model providers it uses. Ask what is stored, who can access it, how deletion works, and whether data is used for training. Gist's published policy is that it never trains models on your data and enforces Zero Data Retention across the foundation models it routes work to. Provider retention and the storage of your files in a workspace are separate questions. See the Gist FAQ and trust center for the published data-handling information.
Which materials should the firm prepare?
- An approved template: use the current version for the relevant document type and jurisdiction.
- A small set of relevant precedents: choose examples that reflect the firm's intended approach, with any unusual concessions identified.
- Drafting instructions: specify preferred clauses, defined terms, house style and acceptable fallback positions.
- Matter facts: provide the parties, transaction structure, commercial terms and any client-specific requirements.
- Rules for missing information: tell the tool which gaps should become placeholders or questions for the lawyer.
- Permission to use the materials: confirm that client instructions, confidentiality duties and the firm's AI policy allow their use in the chosen tool.
Avoid giving the tool a large collection of inconsistent documents without explaining which source takes precedence. A short, maintained set of approved materials is easier to evaluate than a folder containing every deal the firm has ever completed.
How does this work in Gist?
Gist is a legal AI workspace for law firms and in-house legal teams. Its self-service platform lets lawyers build reusable skills without code: describe the work, add templates and examples, and use the skill for drafting, review or standard responses. The document editor works inside Microsoft Word and in the browser.
For example, a lawyer can set up a drafting skill with an approved services-agreement template and instructions about the firm's preferred language. For each new matter, the lawyer supplies the relevant facts and asks for a first draft that follows those materials. The skill makes the instructions reusable; it does not remove the need to provide accurate matter facts or to review the result.
If the process also needs to collect information from another system, select among several precedents, apply a decision tree and prepare a package of documents, discuss a custom agent with Gist's deployment team. Those requirements need to be scoped and evaluated for the firm's workflow. Read more about who builds and maintains custom legal AI agents.
An example: drafting a services agreement
The following is an illustrative evaluation workflow you can adapt for a pilot:
- Choose an approved services-agreement template and a relevant precedent. Identify any terms in the precedent that should not carry over.
- Provide the new parties, scope of services, fees, term and governing-law instructions.
- Ask the AI to adapt the template, preserve the intended structure and flag missing facts instead of inventing them.
- Ask it to identify substantive changes and questions that need a lawyer's decision.
- Review the draft against the template, source materials and matter instructions before sharing it.
Pay particular attention to names left over from the precedent, inconsistent defined terms, broken cross-references and negotiated positions copied into the wrong matter. A document can sound like your firm's work and still contain a material error.
How should you evaluate the output?
- Does the draft use the approved template and the correct version of the firm's standards?
- Are new matter facts applied consistently, without carrying over another client's information?
- Are required clauses preserved and departures from the instructions identified?
- Does the tool flag conflicting sources or missing facts?
- Are numbering, defined terms, cross-references and document formatting usable?
- How much lawyer editing remains, and how does the total drafting and review time compare with the current process?
Evaluate several examples, including one with incomplete facts and one with conflicting instructions. Agree on the success criteria before the pilot. Include security, implementation requirements and pricing in your review.
Start with one repeatable document
Choose a document your team drafts often, prepare the approved materials, and have the lawyers who do that work judge the results. You can start a Gist trial to build a reusable skill, or book a demo to discuss a drafting workflow with the deployment team. See pricing for the self-service plans and custom offering.
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