Independent 2026 field guide · by Terms.Law, a Law Firm finalist

Every 2026 finalist. One ballot.

Mark your picks, open a dossier, put finalists side by side, or ask the AI Legal Analyst about the field.

Winners announced Oct 25, Boston

  • 27finalists
  • 9categories
  • 234submissions
  • Oct 25Boston gala
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Independent finalist guide · researched from public sources · Terms.Law is a Law Firm finalist · not affiliated with the Awards Methodology and disclosure

I am one of the 27 finalists, and I went and researched the other 26 from public sources. I have not seen anybody’s actual entry and I do not know what the judges weighed, so every profile here is my reading of what is public, checked September 17, 2026. I worked out the comparison method myself, and that is the whole of my role: no affiliation with the American Legal Technology Awards, and picks made here go nowhere.

Ask about the finalists

The same AI Legal Analyst that runs across Terms.Law, pointed at this page's research. It cites its sources and does not pick winners.

Attorney-supervised, not legal advice. For a legal question, use the AI Legal Analyst on the homepage.

About the Awards

Everything below is from the organizers' own announcement. Where the record is silent, this says so rather than filling the gap.

Three answers to what a law firm can be

The judges put a 700-lawyer national firm, a flat-fee family-law boutique, and a one-lawyer practice with no staff in the same final three. Same category, three different theories of how technology changes a firm.

Baker Donelson

National firm, Memphis and 20+ offices

Lawyers
700+ attorneys and public policy advisors
Innovation staff
20+ in-house client-solutions professionals
Delivery
Legal project management on 13,000+ matters since 2012
Pricing
11,000+ alternative-fee engagements
AI
Firmwide approved AI for drafting, contracts, diligence, research

Evolve Family Law

Family-law boutique, Saskatoon, Canada

Lawyers
1 plus an articling student and a small team
Innovation staff
None the founder redesigns the model personally
Delivery
Remote-first across Canada: video, online documents, e-signature
Pricing
Every service unbundled, priced flat, never hourly
AI
Virtual receptionists for intake and after-hours

Terms.Law (my firm)

Solo business-law practice, San Diego

Lawyers
1 and zero staff
Innovation staff
None the software is the staff
Delivery
10,224 pages; 113 generators; 914 automated reviews; written, fixed-fee work
Pricing
Fixed fees, e-sign engagement, no hourly intake calls
AI
AI Legal Analyst on 12,903 pages; 395 conversations in 30 days
2026 American Legal Technology Awards finalist badgeThe organizers’ finalist badge, issued September 17, 2026.

Swipe sideways to compare the three.

How Terms.Law works, in numbers

Not a blog: a one-lawyer practice run as software. Every figure was counted on September 17, 2026 from sources anyone can re-run.

  1. 10,224pages in the sitemapA page for your exact problemEach built around one legal situation or tool, in five languages: an unpaid invoice, a frozen account, a contract you were just handed.
  2. 12,903pages carry the AI Legal AnalystAsk, do not readDescribe your own situation and upload your documents; the analyst helps organize the facts, the documents, and the issues for my review.
  3. 113 + 914generators and automated reviewsDo it yourself if it is simpleDocument generators, demand-letter libraries, calculators, and automated terms-and-privacy reviews, free and without a signup.
  4. 1 / 0lawyer / staffA fixed fee if it is notIntegrated intake, conflict and scope screening, an e-signed engagement letter with the exact fee, written delivery, a private workroom.
  5. 395AI conversations in 30 daysThe lawyer decidesEvery paid deliverable is attorney-reviewed. The AI stack, the workrooms, and a public post-mortem are published.
Swipe sideways for the five steps.
How each figure was counted

1 / 0 lawyer / staff: Sergei Tokmakov, California Bar #279869, runs the practice alone; 10,224 pages in the sitemap: sitemap.xml, September 6, 2026 build; the raw tree holds 13,593 HTML files including taxonomy stubs; 12,903 pages carrying the AI Legal Analyst: count of pages loading the chat widget, September 17, 2026; 395 AI conversations in 30 days: matter threads touched August 18 to September 17, 2026, in the live database; 788 turns; 914 automated terms and privacy reviews: ToS Watchdog and Privacy Watchdog pages; 113 document generators: generator pages in the templates library; plus 1,807 demand-letter pages, 85 calculators, 2,680 forum threads, and pages in English, Spanish, Russian, Thai, and Chinese.

What the field says

Read across all 27 finalists, the common thread is technology wired into the delivery of legal help: behind community advocates at Frontline Justice, inside a trial court's default-judgment queue in Los Angeles, around the verification of AI output at Benchly, beneath it as structured law at OpenLaws, and into the business model of a firm, whether Evolve's flat fees or Baker Donelson's pricing and project-management teams.

My own entry is the smallest organization on the list, and that is the point of it: what one lawyer can operate when the infrastructure is software. The lawyer still decides.

There is a personal reason I like the size of the field. I came to the United States in 1995 as a Rotary exchange student from a closed nuclear-submarine town in the Russian Far East, won a green card in the lottery, and went to law school in Boston on a scholarship. What I saw in America was that you could start from zero. The awards are in Boston on October 25, a few miles from where my legal life began.

How this page was made, sources, and disclaimer

The finalist list is the organizers' announcement, published by LawSites on September 16, 2026. Each dossier was compiled from the finalist's own site and public reporting, and lists its sources. The Awards do not publish the nominations, so I do not know what any finalist submitted or what the judges weighed; nothing here speaks for the organizers or for another finalist. The AI Legal Analyst on this page reads the same data file the ballot is drawn from. The lens colors and the map are a taxonomy, not a ranking. Corrections: owner@terms.law.

Related on Terms.Law: the AI Legal Analyst, how I built it, the small-law AI lab, and about me.

I built this page myself, as one of the 27 finalists looking at the other 26 from public sources. It is not affiliated with, endorsed by or reviewed by the American Legal Technology Awards or by any other finalist, and I have not seen anyone’s entry. It is not legal advice, and reading it or chatting with the AI Legal Analyst does not create an attorney-client relationship. Descriptions of other finalists come from their own published materials and public reporting; trademarks belong to their owners. Sergei Tokmakov, Esq., California State Bar No. 279869. Verify license.