AI for Lawyers Drafting Contracts: A Reviewable Workflow

AI can produce a serviceable first draft of a service agreement, an NDA, or a standard employment contract in under a minute. The speed is real. So is the risk: AI-generated clauses may not match the governing law, the client's negotiating position, or the firm's approved language for that type of agreement. A reviewable drafting workflow means every AI choice is visible and every accepted clause is justified by a person. Tools like fenbs preserve the reusable instructions and the reasons behind accepted drafting choices, so the next similar matter starts from what was learned on the last one.

Related pages cover AI for lawyers research and GPT for lawyers. For training staff on AI workflows, see AI for lawyers training.

Before you start drafting

A good brief before drafting saves more time than any AI tool. Write down the governing law, the parties and their relative bargaining positions, any non-standard terms the client has already agreed to, and the clauses where the firm has a strong preference. Give the AI these requirements as its starting instructions, not just "draft an NDA."

Also gather your clause library if the firm has one. Approved clauses from previous matters are better starting points than anything generated from scratch, because they have already survived review. Tell the AI which clauses it should treat as fixed and which it is free to vary. This scoping prevents the AI from substituting its judgment for the firm's in areas where the firm has already made a deliberate choice.

A step-by-step drafting workflow

1. Write the drafting brief: agreement type, governing law, party roles, non-standard terms agreed, and any clauses the firm treats as standard. The more specific the starting instructions, the less revision the first draft needs.
2. Ask the AI to produce a first draft against those requirements. Request a list of assumptions it made alongside the draft, so you can see where it exercised judgment.
3. Review the draft clause by clause. Mark each clause as accepted, revised, or replaced. Note the reason for any revision: "other party will not accept", "our standard language is narrower", "governing law requires different language here."
4. Check high-risk clauses in a primary source: indemnity scope, limitation of liability, choice of law, confidentiality carve-outs. These are the clauses most likely to diverge from local practice.
5. Record the accepted language and the reasons for any non-standard choices. This builds the clause record for similar matters.

The clause review step in detail

The clause review is not a style edit. It is a substantive check: does this clause do what the client needs, is it enforceable in the governing jurisdiction, and does it match the firm's agreed position on this type of agreement?

Work through the draft in sections rather than reading it straight through. Indemnity clauses deserve their own pass. Limitation of liability deserves another. Confidentiality provisions, IP ownership, and termination rights are the areas where AI drafts most commonly need adjustment.

When you revise a clause, write a brief note explaining why. "Removed consequential damages exclusion because client's risk profile requires it" is a note the next attorney on a similar matter can use. Without it, the same analysis happens again on the next engagement. Short clause notes take less time to write than the analysis they save later. A file of accepted and rejected clauses from similar matters is also valuable when training junior attorneys on what the firm approves and what it does not.

Keeping a record of drafting decisions

Drafting decisions accumulate into firm knowledge. A clause accepted on ten transactions with the same counterparty type becomes a de facto standard. A clause revised on every transaction with technology vendors is a signal to update the template. Neither pattern is visible unless the decisions are recorded.

Keep the record at the matter level for case-specific decisions and at the firm level for standing choices. Matter-level: "this client agreed to accept consequential damages exposure." Firm-level: "our NDA template uses mutual non-solicitation as a standard clause." The two categories belong in separate places so a matter-specific decision does not accidentally become a firm-wide rule.

How to set up a drafting workflow with fenbs

1. Create a free account and set up a project for each agreement type you draft regularly.
2. Add the drafting brief template and any approved clause language as Skills and prompts. Include instructions about governing law defaults and clauses the firm treats as non-negotiable.
3. For each active matter, add a task for the drafting job. Record the accepted language and the reasons for non-standard choices in the task notes.
4. Add firm-wide drafting standards as Decisions and rules: which clause types require partner review, which agreements require a primary-source check before completion.
5. Connect your AI drafting tool from Integrations and ask it to read the project context before starting each session.

Fenbs does not import or review contracts directly. It holds the instructions, decisions, and task record that make each drafting session consistent. For legal research that feeds into the draft, see AI for lawyers research.