AI for Law Firms: How to Have an Assistant That Knows Your Cases, Templates and Arguments

Every firm has a hidden asset: years of briefs, motions, memos, contracts and templates.

And every firm has the same problem: nobody can find anything.

An associate spends an afternoon looking for "that motion we filed in a similar case two years ago". A partner rewrites a clause that already exists in five versions on the shared drive. A new hire asks the same question three people already answered last month.

General AI tools can write, but they do not know your work product, and pasting client documents into a consumer chatbot is a confidentiality problem.

What a firm-specific AI assistant does

Searches your own documents in plain English: "Find our motions to compel in construction defect cases since 2022." Drafts from your templates and prior work, citing which documents it used. Summarizes depositions, contracts and long files. Answers internal questions from your procedures manual and style guides. Respects permissions: people only see documents they already have access to.

What stays with lawyers

Legal judgment, verification of every citation and final review. AI drafts; attorneys decide. Courts have sanctioned lawyers for filing AI-generated citations that did not exist, so every output must be checked.

Confidentiality and the ethics rules

ABA Formal Opinion 512 (July 2024) addresses lawyers' use of generative AI: competence, confidentiality, communication with clients, supervision and reasonable fees. In practice, that means:

Enterprise AI services with contractual commitments not to train on your data. Access controls that mirror your document management permissions. Logs of who asked what. A written AI policy for the firm.

We design the assistant around those requirements, and your firm's ethics counsel reviews the setup.

What the US market charges

Biz4Group's 2026 guide puts mid-complexity custom AI agents, such as internal knowledge assistants, at $30,000 to $45,000 to build, with annual maintenance of 15% to 20% of the build cost.

The Ímpetus offer

Build: $18,500

Document mapping, secure ingestion of selected repositories, permissions, search and drafting workflows, template library, testing with your attorneys and training.

Operation: $1,390 a month

Monitoring, new document sources, prompt and workflow improvements, usage reports and support.

AI model usage and hosting are billed separately.

Why spots are limited

Each build involves careful work with confidential material. We take only a few firm projects at a time.

Frequently asked questions

Will our documents be used to train public AI models?+

No. We use enterprise AI services that contractually exclude your data from model training.

Which document systems can you connect?+

Common ones include NetDocuments, iManage, SharePoint, Google Drive and Dropbox, depending on available integrations.

Can it do legal research on case law?+

It works with your firm's documents. For external case law, keep using your legal research platforms.

How long does it take?+

Usually eight to twelve weeks.

What does it cost to keep reinventing work you already did?

Every hour spent searching for or rewriting existing work is an hour that is either written off or billed to a client who expects efficiency. A firm that can reuse its own knowledge quickly is more profitable and more competitive on price.