ChatGPT for Attorneys: Drafting, Research, and Review
A practical guide to using ChatGPT for attorney-reviewed research and drafting, with guidance on source verification, confidentiality limits, and recording firm procedures and next steps across sessions.
Updated 7 min read
ChatGPT helps attorneys draft faster, structure legal arguments, and organize their analysis of complex matters. Every output requires attorney review and verification against primary authority before it is used. A tool like fenbs keeps the firm's non-sensitive working procedures, approved matter approaches, and next steps outside any single AI session, so each session with a client matter builds on what was already confirmed rather than starting from a blank page.
This page covers practical applications for attorneys and the professional obligations that shape them. The limits are as important as the capabilities: an attorney who submits AI-generated content without proper review takes on real professional and ethical risk.
Practical uses of ChatGPT in legal practice
ChatGPT works best for tasks that produce a first draft or a structural starting point that an attorney then develops and verifies. The model is capable but not a replacement for legal expertise, current research tools, or professional judgment.
- Drafting first versions of standard documents: NDAs, engagement letters, contract clauses, and demand letters.
- Outlining research memos with the analytical framework and issues to resolve.
- Generating issue spotting checklists for transactions, disputes, or regulatory matters.
- Producing plain-language explanations of legal concepts for client communications.
- Drafting sections of briefs after the attorney has identified and verified the supporting authority.
- Proofreading documents for structural issues: undefined terms, missing cross-references, or contradictory provisions.
The mandatory step: verify every legal authority
ChatGPT does not access Westlaw, LexisNexis, or any live legal database. Its training data has a cutoff, and it sometimes generates case citations that appear real but do not exist. This is not an occasional error; it happens with enough frequency that every legal citation from ChatGPT must be independently verified.
The professional consequences of submitting fabricated citations are serious. Courts have sanctioned attorneys and imposed fines for briefs containing AI-generated citations that turned out not to exist. The duty of candor to the tribunal is not waived because the error came from an AI tool. The attorney is responsible for what they file.
The verification rule is this: if you cite a case, find it yourself in a primary legal source, read the relevant section, and confirm it says what you claim. If you cite a statute, check the current text in the official code or the government's official database. ChatGPT can help you draft around verified authority; you find the authority itself.
As you verify sources, record them in a consistent location with a brief note on what each one establishes. That library is the foundation for the actual work, and it is available for any session or colleague who needs to continue the matter.
Confidentiality obligations and AI tools
Model Rule 1.6 on confidentiality applies to AI tools. Sharing client information with a third-party tool may constitute a disclosure depending on the terms of service, the tool's data handling practices, and whether the sharing falls within an exception. Many state bar ethics opinions have addressed this; check the guidance in your jurisdiction.
The practical approach most attorneys use is to work with anonymized or hypothetical versions of client matters. Describe the transaction structure, the type of dispute, or the regulatory issue without naming the client or including identifying details. For most research and drafting tasks, the actual client's identity is not necessary to get useful AI assistance.
If your firm has a privately hosted AI tool with a data processing agreement that covers client confidentiality, the confidentiality analysis may be different. Check with your firm's technology and ethics counsel before assuming any tool is cleared for client-specific information.
Record firm procedures so every session starts from the approved approach
In fenbs, save the non-sensitive working rules for each matter type: jurisdiction, governing law, drafting preferences, standard provisions to include or exclude. Confidential client details stay out. When you return to a matter or a colleague picks it up, the AI reads the approved working approach before drafting. The professional judgment that shaped those rules stays with the attorneys who set them.
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Drafting standard transactional documents
For frequently used document types — NDAs, engagement letters, standard commercial agreements — ChatGPT can produce a useful first draft in less time than pulling an old precedent and adapting it. The prompt needs to include the document type, jurisdiction, the transaction structure in non-confidential terms, and any specific provisions that differ from standard.
Review the draft systematically. Check that defined terms are defined before use, cross-references are accurate, operative language accomplishes the intended effect, and standard protective provisions are present. ChatGPT produces structurally plausible drafts that can still be missing a jurisdiction-specific carve-out or using language with unintended implications.
For firms that draft the same document types regularly, developing well-tested prompt instructions that produce reliable first drafts is a meaningful investment. That prompt becomes a firm standard, and improving it benefits every future draft of that document type.
Client communication and matter updates
Client communication is where many attorneys spend time they do not have. ChatGPT can help draft status update letters, response letters to client questions, and explanatory notes that translate legal developments into plain language a client can understand. Give ChatGPT the legal situation in non-confidential terms and ask for a clear explanation of what it means and what happens next. Review and personalize before sending.
The challenge with client communications is that they need to be accurate, appropriate in tone, and reflect the actual legal situation and client relationship. ChatGPT drafts quickly but does not know your client's sophistication level, the specific facts of the matter, or the history of the relationship. Those elements come from you. The draft is a structure; the substance and appropriateness are your professional contribution.
For letters that are sent often in similar situations — status updates on pending matters, requests for documents or information, explanations of standard procedures — keep approved template language in a shared location. That consistency saves time on every similar matter and keeps the tone aligned across the firm.
Hearing and argument preparation
For oral arguments, hearings, and depositions, ChatGPT can help organize your preparation: the key points you need to establish, the likely questions from the bench, the counterarguments opposing counsel will make, and the questions you plan to ask witnesses. Give it the legal issue and ask it to play the role of questioning judge or opposing counsel. The questions it raises may not be exactly what you will face, but formulating responses sharpens your command of the argument.
This rehearsal approach does not require sharing confidential information. Describe the legal issue and the key points you are trying to make; ChatGPT plays the questioner. After the session, decide what additional research or preparation the rehearsal revealed you need before the actual proceeding. The process of formulating answers to unexpected questions is what sharpens argument, even if the specific questions you face in the actual proceeding are different from what the rehearsal generated. That preparation also reduces the surprise factor, which affects how confidently you can respond under pressure in the actual setting.
Research memos and brief drafting
ChatGPT can produce a useful research memo outline: the relevant legal standard, the key issues, and an analytical framework. That structure guides the actual research. After you have completed the research and verified the authorities, return to ChatGPT to help develop the prose while you supply the citations.
For brief sections, write with the verified authority in hand. Ask ChatGPT to help with clarity, argument structure, or anticipating counterarguments. The attorney controls the substance; ChatGPT helps with organization and expression after the legal analysis is done.
How to do this with fenbs
Use fenbs to keep the non-sensitive working rules and verified source library for each matter type accessible across sessions.
- Create a free account and set up a project for the matter type or specific matter you are working on.
- Record the working approach as Decisions: jurisdiction, governing law, drafting preferences, standard provisions. Use non-identifying descriptions — keep all confidential client details out.
- As you verify legal authorities, record each one as a link with a brief note on what it establishes and how it applies.
- Connect your preferred AI app from Integrations and ask it to read the matter context before drafting or researching.
- After each session, record what was completed, what was verified, and what remains open before you close.
Continue the matter in any session without rebuilding the context
In fenbs, save Where we left off at the end of each working session: what was drafted, what was verified, what is still open, and what the next step is. When you return to the matter after a break, or when a colleague picks it up, the AI reads that record and starts from the current state. Nothing important stays trapped in a chat you cannot find.
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fenbs does not access legal databases or give legal advice. It keeps the non-sensitive working rules and verified source links. Legal judgment, confidentiality obligations, and professional responsibility stay with the attorneys on the matter.