AI for law firms

Where AI helps a law firm most

Much of the time in a small firm goes to work that is necessary but not billable, or billable but low-value: answering the same intake questions, reading through stacks of documents to find the ten pages that matter, drafting routine letters and keeping track of dates. These are the places AI can take real hours off the week, while lawyers keep the judgment calls.

• Client intake: an online form or phone agent collects the facts of a new matter, runs a conflict check against your client list, and gives an attorney a short summary to decide whether to take the case.
• Document review: AI reads discovery productions, medical records, leases or contracts and flags the passages, dates and names that match what you are looking for, with page references.
• First drafts: demand letters, engagement letters, routine motions and correspondence drafted from your own templates and the matter file, ready for attorney editing.
• Deadline tracking: dates pulled from court notices, scheduling orders and contracts are added to the matter calendar with reminders, for a paralegal to confirm.
• Matter summaries: a plain-English status note for each matter, drawn from recent documents and emails, so partners can catch up in minutes.

Example: a personal injury practice

A four-attorney personal injury firm gets new inquiries all day by phone and web form. A custom intake flow asks the questions the firm’s attorneys always ask, checks the statute of limitations window based on the incident date and state, runs a conflict check, and scores the inquiry against the firm’s own criteria. Attorneys get a one-page summary for each promising case. Once a case is signed, medical records are run through document review that builds a treatment timeline with page citations, which a paralegal checks before it goes into the demand letter.

Attorney review and confidentiality, honestly

AI is a drafting and sorting tool, not a lawyer. It can misread a document, miss a clause, invent a citation or state a rule of law incorrectly with full confidence. Courts have sanctioned lawyers for filing briefs with AI-generated case citations that did not exist. Every system we build for a firm treats AI output as a draft for attorney review, shows where each statement came from, and never files, sends or advises on its own.

Confidentiality matters just as much. Client information should not be pasted into consumer chat tools with unclear data terms. We agree with you which AI services may process client data, under what terms, where documents are stored, who can access each matter, and how long data is kept. Your duties under your state bar’s rules on technology and confidentiality remain yours, and we design the system to make meeting them easier, not to replace your own judgment on them.

Custom AI for law firms vs. legal AI products

There is a growing market of legal AI products for research, drafting and contract review, and many practice management systems such as Clio now include AI features. For general legal research or a firm that already lives in one platform, these are often the right first step.

A custom build is worth it when your practice area has its own workflow, when you want intake, review and drafting to share one matter record, or when the tools you use today do not connect. It is built around your templates, your intake questions and your review steps, and it can sit alongside the practice management system you already use.

How we work with a firm

1. Understand the practiceWe meet attorneys and staff to map intake, document handling, drafting and calendaring as they work today.
2. Agree on data rulesWe set out together which data goes where, which services may process it, and who can access what.
3. Design the toolsYou click through intake forms, review screens and draft views before anything is built.
4. Build and test on closed mattersWe test on past matters where you already know the right answer, and compare results with your team.
5. Launch with review in placeTools go live with attorney sign-off built into each step, and we refine them as your team uses them.

What it costs

Zoti custom projects start at $499/month on a monthly plan that covers design, development, hosting and ongoing changes. The price depends on which parts of the practice the tools cover, document volumes and the systems they connect to. You get a written quote before any work begins.