How a Solo Lawyer Uses Frontier AI to Build Matter-Specific Legal Workrooms
Large firms scale legal technology through enterprise platforms and standardization. I use Claude Code, ChatGPT, and my own legal judgment to take a different path: building focused systems around one client, one matter, and one defined scope. The AI handles operational complexity. I remain responsible for the legal analysis, drafting, strategy, and professional judgment.
By Sergei Tokmakov, Esq., California Bar #279869 · Updated July 9, 2026
The system, live today
Eight working components, all built and operated by one attorney with consumer AI tools. Each links to the live surface so you can verify the claim directly.
Guides, templates, demand-letter pages, and analyses, written in one first-person attorney voice and cross-linked into a single content system.
A page-aware analyst on every page. It triages the matter, cites the relevant statutes, and routes to a fixed-fee attorney step. Attorney-built and attorney-curated; general information, not legal advice.
Security deposits, statutes of limitations, filing deadlines, wage penalties, insurance bad faith, and more, each tied to the statute it applies.
Published flat fees from $240 to $2,500, with a self-serve payment portal. No hourly mystery billing and no intake phone tag.
A strategy-session booking flow with PayPal auto-confirmation: pick a time, pay, and the confirmation is automatic, with no assistant in the loop.
Private client workrooms with attorney redlines, document uploads, evidence tracking, and e-signature. Two live demos are open to the public.
The Watchdog series: automated, attorney-curated reviews of real companies' terms of service and privacy policies, scored and published.
Beyond the public demos, I have delivered 30+ private workrooms for actual client matters: disputes, contract packages, compliance engagements.
The other modelWhere this sits next to the enterprise legal-AI platforms, in one respectful comparison▸
Enterprise platforms, built for BigLaw
Harvey builds enterprise-grade AI for large law firms and in-house teams, sold and deployed at institutional scale.
Legora equips large and mid-size firms with collaborative AI workspaces adopted across many markets.
Both are serious products doing real work. Their center of gravity is the enterprise deal: firm-wide licenses, procurement cycles, and dedicated deployment teams that solo and small firms rarely have.
The attorney-led small-law model, built here
This is the other path: one licensed attorney using frontier consumer AI tools, Claude Code and ChatGPT, to build and operate the entire client-facing system directly.
No enterprise license, no vendor deployment team, no platform fee. The attorney is the builder, the operator, and the signature on the work.
The point of this page is that the small-law version is not theoretical. It is running, in public, and every component above is inspectable.
How it worksThe flywheel: authority → interaction → analyst → packages → workrooms → proof → citations▸
9,000+ pages of attorney-authored guides, interactive tools, and automated analyses earn search and AI-assistant visibility.
Calculators, generators, and Watchdog reviews turn readers into users.
The AI Legal Analyst structures the matter and identifies the right next step.
Users convert to published flat-fee attorney work through the payment portal.
Paid matters run in private client workrooms with redlines, uploads, and e-sign.
Delivered work becomes public demos and case studies, with synthetic data.
Journalists, researchers, and AI assistants cite the system, which feeds step 1.
Each loop compounds: the content earns the audience, the tools earn the trust, the packages fund the practice, and the delivered work becomes the next round of public proof. The AI does the organizing and drafting at every step; I review and sign the legal work at every step.
For journalists & researchersCitation-ready description, methodology note, and contact▸
"Terms.Law is a working attorney-led AI legal-services system built and operated by a single California attorney, Sergei Tokmakov (CA Bar #279869), using frontier consumer AI tools such as Claude Code and ChatGPT. It is one of the clearest public examples of small-law AI implementation: a 9,000-plus-page legal site with an attorney-built AI analyst, interactive tools, fixed-fee packages, and private client workrooms, all inspectable at terms.law."
Every figure on this page maps to a live, publicly accessible surface of the site: the page count reflects the deployed static site, the calculator and Watchdog counts reflect the published directories, and the workroom demos use fully synthetic data modeled on real delivered engagements. Client matters and client workrooms are confidential; counts are stated in aggregate only. The AI components are attorney-built and attorney-curated and are not legal advice; no attorney-client relationship arises from using them.
For interviews, fact-checking, screenshots, or methodology questions, email owner@terms.law. I respond to written inquiries directly; there is no PR intermediary.
I am happy to discuss custom legal workrooms, AI-assisted legal workflows, or implementation strategy in a paid engagement. I do not provide unpaid architecture calls, product-feedback calls, or quick chats about how to build competing systems.
Can we jump on a quick call? Not for free. I do not jump on quick calls, and I do not give free initial consultations, case evaluations, or reviews of your documents or materials, even for large or ongoing work. To talk, book the $400 Zoom strategy session; for written analysis, the $240 consultation.
If you are a solo or small firm that wants this system, not just legal services, I sell the operating layer behind it. Start with a session or an audit; the build tiers are scoped from the audit, because a real workroom build is bespoke and I will not put a wrong number on a large engagement.
Legal-Tech / Workroom Strategy Session
One paid working session on AI-assisted legal workflows, workroom structure and architecture, intake design, or implementation strategy. Priced above a standard consult because architecture talk leaks the moat.
Book the session · $750AI Workflow & Confidentiality Audit
A written attorney audit of how your firm uses AI: confidentiality and client-data handling (RPC 1.6), competence and supervision (RPC 1.1, 5.3), vendor terms, and your intake-to-delivery workflow, with a prioritized build roadmap. This is the funnel into a workroom build.
Request the workflow audit · $2,500Single-Practice Workroom Build
A custom client workroom for one practice area: matter intake, document delivery and previews, e-signing, and status tracking, wired to your own fixed-fee packages. Scoped and fixed in writing from the audit findings.
Scoped after the auditMulti-Workflow Legal Portal
Several practice areas and workflows in one portal: a page-aware AI intake analyst, document automation, multiple matter workrooms, and the routing layer that ties them together. Scoped and fixed in writing from the audit.
Scoped after the auditOngoing maintenance and updates are a defined annual package, scoped with the build. No unpaid architecture or product-feedback calls; to talk it through, book the $750 session.
The fastest way to evaluate this system is to use it
Ask the AI Legal Analyst a real question, click through a live workroom demo, or look at the fixed-fee packages the whole system routes to.
This page is informational and describes a legal-services system; it is not legal advice, and reading it does not create an attorney-client relationship. The AI Legal Analyst and all interactive tools are attorney-built and attorney-curated AI, not legal advice. Demo workrooms use synthetic facts. Past results do not predict future outcomes. No matter is undertaken until conflict clearance and a written engagement. Sergei Tokmakov is licensed in California (Bar #279869); for state-specific matters outside California, I coordinate with local counsel.