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shane brady

AI for Lawyers

Document review, legal research, and billing admin eat 40% of a lawyer's billable day, but clients don't pay for any of it. AI handles those parts so you can bill more hours on actual legal work or take back your evenings.

Updated April 21, 2026

What AI is good at (and not good at) for lawyers Let me be direct: AI does not give legal advice. It doesn't replace your judgment. It is not a substitute for actually reading the case. What it does well: - Reading 500 pages of discovery and flagging the 30 that matter

  • Summarizing case law and pulling citations
  • Drafting first passes of routine documents
  • Handling billing entries and time capture
  • Triaging intake and client comms Used properly with human review on everything material, AI saves 10-20 hours a week in most firms I work with. Used carelessly, it makes stuff up and gets you in front of the bar association. We're going to do it the careful way. ## Where AI actually helps ### Document review 10x faster E-discovery, contract review, and due diligence all involve reading mountains of text looking for specific things. AI reads in minutes what takes a paralegal days. You get a ranked list of what to look at and why. ### Legal research in minutes AI trained on case law and statutes answers research questions with real citations in 30 seconds. Lexis+ AI, Westlaw Precision, and Harvey all do this. You verify the cites and use the time saved to actually think about the argument. ### Contract drafting and redlining AI drafts first passes of NDAs, MSAs, employment agreements, and engagement letters using your firm's playbook and preferred language. On incoming contracts, it flags deviations from your standard positions automatically. ### Intake and client screening Inbound inquiries get read by an AI that qualifies them, pulls conflict-check data, and either books a paid consultation or kindly declines. You stop losing 30 minutes a day to lookers. ### Billing and time capture AI reads your calendar, emails, and documents opened, then drafts time entries you review and approve. Realization rates go up 10-20% because nothing gets missed. ### Deposition and transcript analysis Upload a 200-page depo. AI summarizes key admissions, flags contradictions with earlier testimony, and pulls exhibits referenced. What was 3 hours of reading becomes a 20-minute focused review. ### Client status updates Automated updates based on case progress: nothing sensitive, nothing that requires judgment, just "we received opposing counsel's response, next step is X by Y." Clients stop emailing asking where their case is. ## Tools worth knowing - Harvey for big-firm research and drafting
  • Lexis+ AI and Westlaw Precision AI for research with reliable citations
  • Spellbook for contract drafting and redlining
  • Clio Duo for practice management AI
  • Briefpoint for discovery responses
  • Custom agents on Claude for anything firm-specific ## A realistic stack for a solo or small firm 1. Clio or MyCase for practice management with AI (-150/seat/mo)
  1. Lexis+ AI or Westlaw Precision for research (-400/seat/mo)
  2. Spellbook for contracts if you do transactional work (-200/seat/mo)
  3. A custom intake agent that qualifies and books consultations Budget: -800/seat/mo in SaaS plus a one-time custom build for intake and firm-specific workflows. A solo reclaiming 10 hours a week at /hr is pulling in extra. ## Build vs buy Buy: legal research AI (Lexis+, Westlaw, Harvey). These are trained on case law you can actually cite. Don't roll your own. Build custom when: - You have a specific intake process and want the qualifier to match your firm
  • You want document review tuned to your practice area
  • You want client updates in your voice, not a vendor's template
  • Your practice has unusual workflows (immigration with specific form packages, PI with med records, etc.) ## What to do first Intake is the easiest win. Every firm loses time on unqualified inquiries and misses qualified ones. A custom intake agent pays for itself in the first 60 days. After that, add Lexis+ AI or Westlaw Precision if you do litigation. The research time savings are immediate and the citations are reliable. For document review at scale or contract drafting, Spellbook and Harvey are solid. For anything where you want firm-specific logic, custom is the move. Book a call if you want help mapping out where AI actually fits your practice. I work with solo lawyers and small firms under 20 attorneys.

The AI workforce that handles this for lawyers.

We don't build one giant AI bot. We build twelve specialists, each one trained on lawyers and each one focused on a specific revenue leak. They work together as a team. You hire one or hire all of them. Here's what each agent does:

Riley, the AI Receptionist. Answers every call, qualifies the caller, books the job. 24/7.

Riley picks up the phone the moment it rings. She asks the right questions, looks up your calendar, and books the appointment before the caller has a chance to try the next contractor on Google. Every missed call becomes a captured job.

Plugs the missed calls leak. See Riley’s ROI calculator →

Cole, the AI Lead Closer. Responds to inbound web leads in under 60 seconds.

Cole is the first responder for every form fill, chat, or lead source. The second a lead lands, he's already replying in your voice with the right question, the right context, and the right next step. Response time goes from hours to seconds.

Plugs the slow follow-up leak. See Cole’s ROI calculator →

Ava, the AI Scheduler. Confirms, reminds, reschedules. No-shows go to zero.

Ava runs the calendar like a hawk. Day-before confirmations, morning-of reminders, and the second a customer says they can't make it she finds them a new slot before they ghost. Booked-to-completed ratio jumps.

Plugs the no-shows leak. See Ava’s ROI calculator →

Marcus, the AI Collector. Chases unpaid invoices. Polite. Persistent. Paid.

Marcus runs the AR follow-up your bookkeeper doesn't have time for. Day 1 friendly nudge, day 7 firmer reminder, day 14 escalation with a payment link. He recovers cash you'd otherwise write off and shrinks DSO.

Plugs the unpaid invoices leak. See Marcus’s ROI calculator →

Maya, the AI Support Agent. 24/7 customer service across web chat, SMS, and email.

Maya handles the customer service queue your team can't keep up with. She answers FAQs from your real knowledge base, processes refunds and returns, books rescheduling, and escalates only when a human truly needs to step in.

Plugs the support overload leak. See Maya’s ROI calculator →

Quinn, the AI Quote Closer. Sends quotes, follows up, recovers ghosted deals.

Quinn takes the quotes that went out and never came back. She runs a multi-week follow-up sequence built from what's actually closed your past deals, surfaces objections, and pulls ghosted prospects back into the pipeline.

Plugs the ghosted quotes leak. See Quinn’s ROI calculator →

Reese, the AI Onboarder. Walks every new customer through the first 30 days.

Reese owns the first 30 days. She welcomes every new customer, walks them through setup, checks in at the right milestones, and surfaces issues before they become churn. The customers who stick around are usually the ones who got onboarded right.

Plugs the early churn leak. See Reese’s ROI calculator →

Sage, the AI Reviewer. Asks every customer for a review. At the right moment.

Sage asks every customer for a review the moment they're happiest. She times the ask perfectly, sends through whichever channel they prefer, and routes negative feedback to you privately before it lands on Google.

Plugs the low review velocity leak. See Sage’s ROI calculator →

Drew, the AI Dispatcher. Routes incoming work to the right person, fast.

Drew triages every incoming job. He looks at location, skill required, tech availability, and customer priority, then routes it to the right person in seconds. Dispatch goes from a full-time job to a background process.

Plugs the dispatch admin leak. See Drew’s ROI calculator →

Beck, the AI Bookkeeper. Categorizes, reconciles, flags weirdness. Daily.

Beck handles the bookkeeping grind. He categorizes transactions, reconciles accounts, flags anything that looks off, and keeps your books month-end ready every single day. Your accountant gets clean data, your CPA bill drops.

Plugs the bookkeeping drag leak. See Beck’s ROI calculator →

Indi, the AI Marketer. Content, social, email campaigns. In your voice. At 5x output.

Indi runs the content engine. Blog posts, social, email campaigns, ad copy, review replies. She writes in your voice using your actual brand voice doc, ships on schedule, and measures every piece against real conversions.

Plugs the marketing bottleneck leak. See Indi’s ROI calculator →

Owen, the AI Reporter. Daily business dashboard, delivered to your inbox.

Owen pulls every number that matters every morning. Revenue, jobs booked, jobs completed, AR aging, lead source ROI, customer NPS. He delivers the dashboard at 6am so you walk into your day already knowing what's up.

Plugs the reporting drag leak. See Owen’s ROI calculator →

Every agent is custom-built around how lawyers actually runs. The voice your phone agent uses, the questions it asks, the calendar it books into, the CRM it writes to, the pricing rules it follows: all configured to your operation. No generic chatbot energy. No off-the-shelf. The agents sound like you because they are trained on you.

Build with one agent first if you want to start small. Most clients pick the single biggest revenue leak (usually missed calls or slow follow-up) and ship that agent in 2 to 4 weeks. From there, the next agents stack on top because the foundation is already in place: the integrations, the knowledge base, the brand voice, the analytics. Each new agent is faster to build than the last.

Run the ROI calculator on every agent

Your AI Workforce

Twelve AI employees ready to plug into your business.

Voice receptionist, lead closer, scheduler, collector, support, plus 7 more. Each one trained on your business.

Meet the workforce

Common questions

Is it ethical for lawyers to use AI?

Yes, with the same duty of competence and confidentiality you'd apply to any tool. The ABA and most state bars have published guidance. Key rules: verify AI outputs, protect client data, disclose use where required, and don't bill for AI time as if a human did it.

Will AI hallucinate cases?

General-purpose tools like ChatGPT can. Legal-specific tools like Lexis+ AI, Westlaw Precision, and Harvey are grounded in real case law databases and provide verified citations. Always check the cites anyway.

What about attorney-client privilege?

Use vendors with SOC 2 Type II and DPAs that confirm your data isn't used to train public models. Better vendors offer data residency options. For custom builds, the data can stay in your own cloud account.

Does this work with Clio or MyCase?

Yes. Both have native AI features now and robust APIs. Custom builds typically read/write to the practice management system so everything stays in one place.

How long until I see ROI?

Research tools: immediate, first case you use them. Intake automation: 30-60 days to see full benefit. Document review: depends on your matter volume, but typically 90 days to be well-tuned.

Want this built for your business?

Book a 30-min discovery call. I'll look at your current setup and tell you exactly which AI system would have the biggest impact for you.