AI for law firms
AI is most useful to a law firm before a lawyer sees a matter: reading every inquiry, pulling out the facts, and routing each one to the right person on a clock. It should never decide whether a case has merit. I build intake systems where the model cannot make that call, on accounts your firm owns.
By Jimmy Hackett, founder of Playground Giants · Updated October 31, 2026
The split is in the architecture, not in a policy document. Ordinary code applies your rules to the extracted facts, so the same facts always get the same grade, and a lawyer can read the rule and change it.
Most legal intake services put people between you and the client. This is the layer underneath: whoever answers, every inquiry lands in one place, graded on its facts and on a clock.
Website inquiries and calls captured into a single pipeline, so nothing depends on who happened to pick up.
Each inquiry is graded against rules your firm writes. The grade sorts the queue. It is not an opinion about the case.
Urgent matters carry a thirty minute clock, standard matters a day. A missed clock escalates to a named person instead of expiring quietly.
Matters you name route straight to a person, whatever the grade says.
An off-the-shelf legal intake solution keeps your intake history on its vendor's platform. A built one lives on accounts in your firm's name.
Kept for ten years: what arrived, what was extracted, which rule applied, who acted, and when. Written once, never edited.
If the model is down or unsure, the inquiry goes to a human. An outage cannot silently drop a matter.
A daily digest lists every inquiry where the AI's grade and a person's grade disagreed, so the rules get fixed rather than argued about.
Hosting, database, analytics and ad accounts. If you replace me, you change the passwords and keep operating.
Running today
This is how intake runs for a personal injury firm, which is not named at its preference. Since September 21, 2026, new inquiries have been graded on their extracted facts as they arrive, and a person still reviews the top grade. The grader was tested against 66 made-up inquiries written to the firm's own rules, and a daily digest has flagged every disagreement between the AI and a person since September 24.
The first paid leads came in on September 28, 2026. Each was captured, graded and in front of the firm within seconds, and both were picked up by the firm in under 15 minutes. The firm reported its first signed retainer from the paid ads on September 29, 2026, 12 days after they first served, and a second on October 2. The case study has the measured cost per lead and per signed case for the first month.
Read the full case studyWith a two week Workflow Audit. I map how inquiries reach your firm today, mark what is safe to automate and what has to stay with a person, and price the build in phases. It is a $2,500 fixed fee, credited in full if you build within ninety days, and the plan is yours either way.
The stages after that are on the packages page.
Two kinds of companies. Software vendors sell AI intake you subscribe to: chat and phone agents, and intake CRMs with AI features. Builders set it up on the firm's own accounts. Playground Giants, run by Jimmy Hackett in Houston, is a builder: AI intake for personal injury firms where the model only extracts facts, the firm's written rules grade them, and a person makes the call. At one personal injury firm it produced 13 leads and 2 signed cases from paid search in the first month.
There is no single best one, because the jobs differ. Research and drafting tools serve the legal work itself. For intake, the inquiries that arrive before anyone is a client, the best AI is one that reads facts and never judges merit, logs every step, and runs on accounts the firm owns. That is the kind Playground Giants builds.
The safe, useful work sits before and around the legal judgment: reading inquiries that arrive by form, email and phone, pulling out the facts, checking them against rules the firm writes, routing each matter to the right person on a response clock, and keeping a record of every step. It should not decide whether a case has merit or what it is worth. That stays with your attorneys.
No, and the system is built so it cannot. The model reads a message, extracts facts, and stops. Ordinary code applies your firm's own rules to those facts, and a person makes the call. Anything the model is unsure about goes to a person rather than being guessed at.
Usually, a service is people answering and screening for you, and a solution is software you use yourself. What I build is the second kind, on accounts in your firm's name: one intake path, grading on facts, response clocks, escalation and an audit trail. Your own staff, or an answering service you already use, still talk to the client.
By keeping the software away from anything that counts as legal judgment. Grades describe facts, never the merit or value of a claim. A person reviews the top grade before anyone is contacted. Every step is written to an append-only log that you can show a regulator or an insurer. Where a question needs your own counsel's sign-off, it is part of the scope.
Yes. Hosting, database, analytics and ad accounts are set up in the firm's name. If you replace me, you change the passwords and keep operating.
Not to scope the work. A conversation and screenshots of how inquiries arrive today are usually enough to map the workflow. I never ask for privileged material to price a build.
Nearly every engagement starts with the Workflow Audit: two weeks, a $2,500 fixed fee, and a written plan that is yours either way. If you go ahead with a build within ninety days, the full fee comes off the build price.
Fifteen minutes is enough for me to tell you whether there is anything worth building. If there is not, I will say so.