Gist builds and maintains custom AI agents for law firms and in-house legal teams through a deployment team of lawyers and AI engineers. The team maps your process, builds an agent for that work and maintains it as models, standards and requirements change. Firms can also hire a consultancy or build agents internally. The choice depends on how specific the workflow is, which systems it needs to use, and who will be responsible for it after launch.
What is a custom legal AI agent?
A custom legal AI agent carries out a sequence of steps for a defined legal workflow. It might collect documents, compare a contract with the firm's positions, prepare proposed changes and return a review package. Its instructions, source materials, decision points and permitted actions are tailored to the team using it.
The right starting point is a piece of repeat work with a clear output and review standard. Examples include drafting from an approved precedent, reviewing incoming agreements against a playbook, and preparing a matter-status answer from the relevant files. Describe the work in those terms before deciding how much automation it needs. Our guide to generative and agentic AI for legal work explains the underlying distinction.
Who can build and run the agent?
A legal AI provider with a deployment team
A provider offering custom delivery and ongoing maintenance can supply the platform and the team responsible for the workflow. Gist offers this model: its lawyers and AI engineers define, build and maintain agents for work specific to a legal team. It can be a useful fit when a firm wants custom automation and ongoing support without staffing its own engineering function.
Ask which people will work on your project, what is included in ongoing support, and how changes will be agreed. A managed service still needs a lawyer at the firm to own the process and make legal decisions.
A consultancy or systems integrator
A consultancy can build an agent around a firm's existing systems and technology choices. Some offer ongoing support; others deliver a project that the firm then operates. Check the engagement terms for maintenance, documentation, access to the implementation and responsibility for third-party services. The project should leave someone clearly accountable for operation after handover.
An internal legal technology and engineering team
An internal team can own the design, implementation and maintenance directly. That can suit firms with engineering capacity and requirements they want to manage themselves. Plan for continuing work on integrations, permissions, evaluation, monitoring and model changes, as well as the initial build. A partner or practice group should remain responsible for the legal workflow.
When is a reusable skill enough?
Some repeat work needs reusable instructions and source materials rather than a custom build. Gist lets lawyers create skills without code by describing the task and adding templates, examples and standard documents. That is a practical place to start for a recurring drafting request or a standard review approach.
Consider a custom agent when the work needs several coordinated steps, a decision tree, information from different systems, or a specific handoff between people. The deployment team can help define those requirements. See how legal AI drafts from firm precedents and templates for an example of a workflow that can start with a skill.
What does Gist's deployment team do?
Gist's offering combines a legal AI workspace with a team that builds custom agents. The published process starts with mapping the firm's needs and repeat work, then putting agents into use in the agreed tools and maintaining them as the work changes. The platform includes a document editor in Word and the browser, Outlook access, file search and reusable skills. Custom workflow and integration requirements are discussed with the deployment team.
Bring a clear description of the task, approved examples of the input and expected output, the standards the agent must follow, and a list of systems involved. Gist's product page, FAQ and custom offering describe the platform and service. Confirm the delivery scope, schedule and support terms for your project during evaluation.
An example: reviewing incoming vendor agreements
An illustrative brief for a custom agent might specify these steps:
- Receive an agreement and identify the document type, parties and missing information.
- Compare the relevant clauses with the team's approved positions and fallback language.
- Prepare proposed edits and a summary of the issues requiring a lawyer's decision.
- Hand the review package to the responsible lawyer before any external communication.
That brief should also say which matters and documents the agent may access, what happens when a contract falls outside scope, and who approves the final work. These are requirements to agree and test for the particular build.
What needs maintenance after launch?
- Legal standards: templates, preferred positions and client requirements change.
- Model behavior: model updates can affect drafting, tool use and output consistency.
- Integrations: connected systems, credentials and access permissions change.
- Evaluation: representative examples need to be checked after meaningful changes.
- Exceptions: new document types and incomplete inputs can reveal gaps in the original scope.
- Ownership: the firm needs a process owner and a clear route for reporting problems.
Gist's deployment service includes ongoing maintenance. Ask how your workflow will be evaluated, how issues will be reported and how proposed changes will be approved. Lawyer supervision and output verification remain part of the firm's responsibilities.
Questions to ask before choosing a provider
- Who understands the legal process, and who owns the technical implementation?
- Which steps are automated, and where must the agent stop for approval?
- What documents and systems can it access, and how are those permissions controlled?
- How will we test it on our own examples before launch and after changes?
- What does ongoing maintenance include, and how are additional changes priced?
- What can we export or take with us if we change providers?
Complete a security and commercial review, and use the AI policy template to define supervision and approval rules. To discuss a specific workflow with Gist's lawyers and AI engineers, book a demo and bring examples of the work you want the agent to handle.
More from Gist
- Free AI Policy Template for Law Firms
- How to Avoid AI Hallucinations in Legal Work
- Generative AI vs Agentic AI for Legal Work
- Will AI Replace Lawyers?
- Which AI Tools Review Contracts Inside Microsoft Word?
- Can Legal AI Draft Using My Firm's Own Precedents and Templates?
- Gist Legal AI Evaluation: Contract Processing and Legal Research
