How to Automate Client Intake at a Law Firm

How do you automate client intake at a law firm?

Write down every step from a prospect's first call or web visit to an opened matter. Then hand the repeatable steps to software and keep lawyers on the decisions that need judgment. Most firms automate in this order:

1. Capture every inquiry in one place. Route web forms, phone messages, chat and email into one intake queue so no lead lives only in someone's inbox.
2. Use a structured online intake form. Ask the same questions each time, with logic that changes the questions by practice area.
3. Run the conflict check automatically. Check names of the prospect, adverse parties and related entities against your client and matter database before anyone discusses the merits.
4. Automate follow-up and scheduling. Send confirmations, reminders and a booking link for the consultation, and flag any lead nobody has answered.
5. Generate the engagement letter and collect e-signatures. Fill in a template from the intake data, have a lawyer approve it, and send it for signature with the retainer request.
6. Open the matter without retyping anything. Push the intake data into your practice management system so contacts, the matter, deadlines and billing setup come from one record.

The rule of thumb: automate data collection, routing and reminders, and keep a lawyer on conflicts that need a decision, case evaluation and the decision to take the matter.

Which intake steps should a law firm automate first?

Start where leads get lost or staff retype data. For most firms that means response time, the conflict check and moving data into the matter. The table shows what software can take over at each step and what should stay with people.

If you can only fix one thing, fix the handoffs: an inquiry that waits days for a reply, or a signed client whose details get retyped into three systems, costs the firm more than a slightly clumsy form.

What should an automated intake form ask before the conflict check?

Before a conflict check clears, the form should ask only for what you need to run the check and decide whether the matter fits the firm: names, contact details, the opposing parties, the practice area and a short description. Save the detailed facts for after conflicts clear.

This isn't just tidiness. Under ABA Model Rule 1.18, which most states have adopted in some form, a person who consults a lawyer about possibly hiring the firm is a prospective client. Even if the firm never takes the case, it can't use or reveal what the person shared, except as Rule 1.9 allows for former clients. If the firm received information that could be "significantly harmful" to that person, it can be barred from representing someone adverse to them in the same or a substantially related matter. The exceptions are informed written consent from both sides, or timely screening of the lawyer who received the information plus written notice.

The official comment to the rule tells lawyers to limit the initial consultation to the information reasonably needed to decide whether to take the matter. An intake form built that way protects both the prospect and your ability to take future clients. In practice:

• Put conflict-check fields first and make them required.
• Tell prospects not to send documents or detailed facts until the firm confirms it can help.
• Unlock the full questionnaire only after conflicts clear.
• Check your own state's version of Rule 1.18, since the wording differs by state.

How do you keep automated intake compliant with the ethics rules?

Treat every intake tool, especially AI, as something the firm supervises and is responsible for. ABA Formal Opinion 512 (July 29, 2024) is the main national guidance on generative AI. It turns on competence, confidentiality, communication, supervision and fees.

• Confidentiality (Rule 1.6). Prospect data is confidential from the first message. Before you put client information into a generative AI tool that learns from user inputs, Opinion 512 says you need the client's informed consent. It also says boilerplate in an engagement letter isn't enough. Find out whether the vendor trains on your data, where the data is stored and who can see it.
• Supervision (Rules 5.1 and 5.3). Partners and managers must set clear policies on AI use, train staff and oversee outside vendors. A chatbot or AI intake assistant needs the same oversight you'd give a new intake specialist.
• Communication (Rule 1.4). Opinion 512 lists when you must tell clients about AI use: when they ask, when the engagement agreement requires it, when you need consent under Rule 1.6, when AI affects fees, and when AI output shapes significant decisions in the matter.
• Fees (Rule 1.5). If you bill hourly, you can bill only the time actually spent. Tools that are general overhead aren't billed separately.

Also tell web visitors clearly that filling out a form doesn't make them a client, and have a lawyer review any automated message that could look like legal advice.

Where does an AI paralegal fit into client intake?

An AI paralegal fits in the middle of intake: it reads what prospects submit, organizes it, and drafts the documents that follow. Lawyers still make the decisions.

For example, Lexi, the AI paralegal in OpenLaw for Attorneys, can help a firm:

• Summarize a completed intake questionnaire into a short case memo for the reviewing attorney.
• Pull names of parties and entities from the submission so the conflict search covers all of them.
• Point out facts that are missing or contradictory before the consultation.
• Draft the engagement letter and the follow-up emails from your templates for a lawyer to approve.

Set it up the way Opinion 512 expects. Decide which data Lexi may see, keep a lawyer on every accept-or-decline and conflict decision, and review drafts before they go out.

How do you know whether intake automation is working?

Measure your intake before and after the change. Use your own numbers, not vendor benchmarks. Track:

• Time to first response for new inquiries, during and after business hours.
• Lead-to-consultation rate and consultation-to-signed-engagement rate, by source and practice area.
• Time from signed engagement to opened matter.
• Staff hours spent on intake each week, including data entry.
• Conflict-check exceptions: how many automated hits needed a person to review them, and how many were missed until later.

Review the numbers monthly for the first quarter. If leads still stall at one step, fix that handoff before adding more tools.