ScopeFinish — AI first-pass draft finisher for court reporters

1. One-liner

Turns a court reporter’s raw steno untranslate plus audio into a near-clean transcript draft they finalize in half the time.

2. Trend signal — why now?

Three things collided in the last 12 months.

The scopist bottleneck got worse because the reporters themselves are vanishing. Human court reporters fell ~21% over the last decade to under 23,000, and NCRA projects a 5,500-reporter shortage by 2028. Roughly 1,120 reporters retire each year while only ~200 new stenographers enter. The average NCRA member is ~56. The reporters still standing are drowning in work — and the scopists who used to absorb their overflow are stretched just as thin. On CSRNation you can watch it happen in real time: “IN NEED OF A CASE CATALYST SCOPIST FOR A DAILY THURSDAY MAY 22… PLEASE TEXT ME ASAP.”

AI transcription finally got good enough to do the boring 80% of scoping. A scopist’s job decomposes into bounded tasks: fix CAT-software mistranslates against the audio, untranslate steno chords, drop in speaker IDs, apply the reporter’s punctuation style, verify names and technical terms. Whisper-class ASR with word-level timestamps now nails “here’s exactly where the draft diverges from what was said” — the same core that audiobook-QC tools already ship. This wasn’t practical two years ago.

The file plumbing is already open. Case CATalyst and Eclipse both export and re-import via ASCII and RTF/CRE. That means a third-party tool never has to crack proprietary CAT internals — the reporter exports the untranslate, ScopeFinish cleans it, they re-import the finished draft. The round trip exists today.

Provenance:

• Signal 1 (Demand): Reporters posting urgent rush requests for scopists on CSRNation; scopists charge ~$1.25/page and are chronically overbooked — https://csrnation.ning.com/page/scopists-1 and https://www.bestscopingtechniques.com/New%20Survey_final.pdf — 2026-07-25
• Signal 2 (Feasibility): CAT software round-trips through ASCII/RTF-CRE and steno untranslate cleanup is a bounded, audio-verifiable task — https://solutioncenter.stenograph.com/import/importascii — 2026-07-25
• Signal 3 (Economic): NCRA projects 5,500-reporter shortage by 2028; CA alone needs 458 FTE reporters; Steno and others funding AI transcript tooling — https://courts.ca.gov/news-reference/research-data/shortage-court-reporters-california and https://brief.steno.com/stenos-transcript-genius-ai-powered-analysis-tool-gives-you-an-edge — 2026-07-25 Category: Tech-unlock

3. The opportunity

Every deposition and hearing transcript passes through the same three-step pipeline: reporter writes steno → CAT software produces a rough “untranslate” full of mistranslated chords and gaps → a scopist (human) cleans it against the audio → reporter proofreads and certifies. Step three is the bottleneck. A scopist does ~23 pages/hour and charges ~$1.25/page, so a 250-page daily costs the reporter ~$300 and a full day of someone else’s calendar they may not be able to book on a rush.

The incumbents miss on two ends. Full AI transcription services (the “40–70% cheaper, 3–5× faster” pitch) aim at replacing the reporter for discovery/prep drafts — reporters distrust and resent them, and they don’t produce a certifiable record. Steno’s Transcript Genius and similar tools are built for attorneys to analyze finished transcripts, not for the reporter to produce one. Nobody is building the humble, reporter-owned tool that just does the scopist’s first pass and hands control straight back to the reporter in their own CAT format.

That’s the gap: not “AI replaces the court reporter,” but “AI does the reporter’s first-pass scoping so they stop turning down work.” The reporter stays in the chair, keeps certification, keeps the margin they used to hand a scopist.

4. Target market

• Primary customer: Freelance/independent court reporters in the US who currently outsource scoping — single-shingle reporters and small reporting-firm owners running Case CATalyst or Eclipse, taking depositions and civil hearings. ~23,000 reporters nationally; the outsourcing subset (those who use scopists rather than self-scope) is the beachhead.
• Why they buy: In their words — the pain is “I can’t find a scopist for this rush daily” and “scoping eats my margin and my nights.” They already pay $1.25/page to a human; a tool that does the first 80% for a fraction and returns a CAT-ready draft is an obvious swap, not a new budget line.
• Rough TAM reasoning: ~23,000 US reporters. If even 8,000 are active outsourcers producing ~2,000 pages/month each, that’s ~16M pages/month flowing through scoping. Capturing a slice at per-page or subscription pricing is a comfortable sub-$5M ARR wedge without needing the whole market.
• Why now for them: The shortage means the surviving reporters have more work than ever and fewer scopists to hand it to. Their bottleneck moved from “getting the gig” to “processing the gig.” That’s the exact moment they’ll try a tool that clears the backlog.

5. Product sketch (MVP)

• Drag in the untranslate + audio. Reporter exports their rough ASCII/RTF-CRE from Case CATalyst or Eclipse and drops it in with the deposition audio.
• AI first-pass clean. Aligns audio to text word-for-word, flags and fixes mistranslated chords, fills dropped words, inserts speaker IDs, applies standard punctuation.
• Reporter-preference profile. Learns each reporter’s punctuation style, Q/A formatting, “strict vs. intelligent verbatim” preference, and pet dictionary — so the draft comes back in their house style, not a generic one.
• Uncertainty flags, not silent guesses. Every low-confidence span is highlighted with a click-to-hear-the-audio jump, so the reporter reviews exactly the risky 15% instead of re-reading 100%.
• Name & term verification. Surfaces proper nouns, medical/legal terms, exhibit/Bates numbers, and monetary values for one-click confirm against a lookup.
• CAT-ready export. Hands back a clean ASCII/RTF-CRE the reporter re-imports and certifies. ScopeFinish never certifies anything — the reporter stays the record’s author.
• Per-job history & turnaround timer so firm owners can see pages processed and time saved.

6. AI angle — what’s load-bearing

Remove the AI and there is no product — you’d just be a file converter. The entire value is (1) forced audio-to-text alignment that pinpoints where the CAT draft diverges from what was actually said, and (2) a language model applying the reporter’s punctuation/formatting conventions and untangling mistranslated steno into correct English. This is the scopist’s cognitive labor, automated. The “flag don’t guess” behavior is also AI-driven — confidence scoring on each span is what makes a reporter trust it enough to review only the risky parts. This is load-bearing AI, not a chatbot bolted to a form.

7. Localization angle (if any)

N/A — this is a US-first play by design. Court reporting, steno theory, CAT software (Case CATalyst/Eclipse), and the scopist labor market are a distinctly US/Canada institution tied to the American deposition and verbatim-record system. The moat here is domain-specific (steno untranslate, US legal formatting), not geographic. A later UK/Australia cut exists but the workflow and file formats differ enough to treat as a separate product.

8. Business model — path to $1M–$5M ARR

• Pricing: Hybrid. A $99/mo base for solo reporters including a page allowance, then $0.35–$0.50/page over the allowance — deliberately anchored below the ~$1.25/page they pay a human scopist, so every page processed is money saved.
• ACV: A working reporter processing ~2,000 pages/month lands around $1,200–$2,000/year; small firm owners with multiple reporters run higher.
• Rough math to $1M ARR: ~650 reporters at ~$1,500 ACV = ~$1M. Out of 23,000 reporters, that’s under 3% of the market.
• Rough math to $5M ARR: ~3,000 reporters at ~$1,600 ACV, or fewer reporters plus firm-tier seats and higher page volumes. Requires becoming the default first-pass tool for outsourcing reporters, not a niche experiment.
• Expansion path: Firm tier (multi-reporter seats, shared dictionaries, admin turnaround dashboards), a proofreading second pass, and eventually selling the same engine to the scopists themselves as a productivity multiplier (they scope 23 pg/hr today — 2× that and they take more clients).

9. Go-to-market wedge — first 100 customers

• Mine CSRNation and the state associations directly. Reporters and scopists post there constantly with names and CAT software listed. DM the reporters posting rush scopist requests — literally the people saying “I need this cleaned by tomorrow” — with a 60-second demo cleaning a sample untranslate. That’s intent you can’t buy.
• Facebook reporter groups. “Encouraging Court Reporters,” steno student groups, and scopist groups are large, active, and gossip fast. A single credible before/after post (“here’s a 250-page daily, first-passed in 20 minutes, flags only on the risky spans”) travels.
• State court reporter association conventions and CEU channels. Reporters gather at NCRA and state conventions; a booth or a sponsored “clear your backlog” session reaches the exact buyer who’s overloaded. Vendors already market scopist services through these channels.
• Firm owner cold outreach. Small reporting firms (5–30 reporters) feel the shortage hardest and control budget. Scrape firm directories, send a per-firm ROI note: “your reporters spent X hours/pages on scoping last month; here’s what that costs vs. ScopeFinish.”
• Convert the demo into a free trial on the reporter’s own next daily — nothing sells like watching your own rush job come back clean overnight.

10. Build complexity — justification

Medium. The heavy lifting — ASR with word-level timestamps, LLM cleanup, PDF/text handling — is off-the-shelf. The custom work is the domain glue: reliable ASCII/RTF-CRE round-tripping that survives Case CATalyst and Eclipse re-import without breaking pagination, a confidence-flagging UI reporters actually trust, and per-reporter style profiles. That’s real engineering plus deep steno-domain knowledge (or a reporter co-founder/advisor), but it’s integration work, not research. A technical builder with a domain advisor ships a credible v1 in ~3–4 months.

11. Gating checklist

Gate	Pass?	Note
Legal in target market	✅	Reporter remains author and certifier; tool is a drafting aid, not a record replacement.
Ethical — no harm / dark patterns	✅	Flags uncertainty rather than hiding it; reporter reviews the record before certifying.
Market exists (evidence above)	✅	Active paid scopist market, documented shortage, reporters posting rush requests.
1–5 person team can build this	✅	Off-the-shelf ASR/LLM + integration glue; technical founder + domain advisor.
Launchable with <$50K / ₹40L	✅	No hardware, no data acquisition; inference and dev cost only.

12. Feasibility score

Axis	Weight	Score	Notes
Problem intensity	20	16/20	Reporters lose margin and turn down work over this weekly; not quite daily hair-on-fire for every reporter, but acute for the overloaded outsourcing segment.
Demand evidence	15	13/15	Paid scopist market ($1.25/pg), documented shortage, verbatim rush requests, active forums. Multiple independent signals a skeptic would nod at.
Build feasibility	15	11/15	Off-the-shelf AI, but CAT round-trip fidelity and trust-grade flagging are genuinely fiddly. 3–4 months, not 4 weeks.
Distribution clarity	15	12/15	Named channels (CSRNation, FB groups, state conventions) with the exact buyer, but conversion of skeptical reporters is unproven.
Revenue mechanics	15	12/15	Priced below an existing per-page spend they already pay — easy ROI story; retention depends on trust and accuracy holding up.
Time to first revenue	10	8/10	Reporters buy tools fast and pay per-page today; trial on their next daily can convert in weeks.
Defensibility	10	4/10	Execution + workflow lock-in (style profiles, dictionaries) only. Steno/CAT vendors could build this; head start and reporter trust are the moat.
Total	100	76/100

13. Qualitative modifiers

Founder-fit tags

technical-heavy · domain-expertise-required — needs an engineer who can wrangle ASR/LLM pipelines and someone who deeply understands steno, CAT software, and how reporters actually work (ideally a reporter co-founder or close advisor). Selling to this community without domain credibility fails.

Key assumptions to validate (3–5)

1. Assumption: A clean first pass saves the reporter enough time/money over a human scopist to switch. How to test: Run 10 reporters’ real dailies through a manual+AI pipeline; measure their finalize time vs. their normal scopist round-trip, and whether they’d pay $0.35–0.50/page for it.
2. Assumption: Reporters will trust an AI first pass if uncertainty is flagged rather than hidden. How to test: Watch 5 reporters review a flagged draft; do they trust the flags, or do they re-read everything anyway (which kills the time savings)?
3. Assumption: ASCII/RTF-CRE round trip survives re-import into Case CATalyst and Eclipse without breaking pagination/formatting. How to test: Export → clean → re-import cycles on both platforms with real files; verify page numbers and formatting hold.
4. Assumption: The outsourcing segment is large enough to hit $1M ARR at <3% share. How to test: Survey CSRNation/FB groups on what % outsource scoping and typical monthly page volume.

Risk flags

1. Platform dependency: Relies on Case CATalyst/Eclipse keeping ASCII/RTF-CRE round-trip open. If Stenograph ships its own first-pass AI inside CATalyst (they already have RealTeam and AI features), they own the workflow. Mitigate by moving fast and locking in reporter style profiles.
2. Trust/accuracy risk: The transcript is a legal record. One high-profile “AI ate a word and changed testimony” story could poison the whole community. The “flag, don’t guess” design and reporter-final-review are non-negotiable, not features.
3. Market timing / substitution: If courts keep expanding to digital-recording + AI transcription (the CA path), the reporter population — your customer — shrinks over the decade. Near-term the shortage helps you; long-term the ground may shift under the whole profession.

14. Structured verdict

Score:                  76/100
Verdict:                GO
Confidence:             Medium
Best-fit builder:       Technical founder with a court-reporter/scopist co-founder or advisor
Time to revenue:        6–10 weeks (per-page trial on reporters' own dailies)
Capital to launch:      $15–30K ($ inference + dev; no hardware, no data buy)
Top 3 assumptions to validate first:
  1. Time/money saved vs. human scopist justifies the switch — measure on 10 real dailies
  2. Reporters trust flagged uncertainty enough to skip re-reading everything — observe 5 reviews
  3. ASCII/RTF-CRE round trip survives Case CATalyst + Eclipse re-import — cycle real files
Kill criteria:
  - Abandon if reporters re-read the full draft anyway (time savings <30%) in the 10-reporter test
  - Abandon if round-trip re-import corrupts pagination/formatting on either major CAT platform and can't be fixed
  - Abandon if Stenograph/Eclipse ships an equivalent in-CAT first-pass AI before your v1 lands

15. Next step — 1-week validation sprint

• Day 1–2: Recruit 8–10 freelance reporters from CSRNation and FB groups (offer free scoping on one real daily each). Collect their untranslate + audio and their current scopist cost/turnaround as the baseline.
• Day 3–4: Run each through a hand-assembled pipeline (Whisper alignment + LLM cleanup + manual flagging). Return CAT-ready drafts. Sit with each reporter (or record) as they finalize; time it against their normal scopist round-trip.
• Day 5: Decide go / no-go on a falsifiable bar: at least 6 of 10 reporters finalize ≥30% faster than their scopist baseline and say they’d pay $0.35–0.50/page for it. Miss that bar → the time-savings thesis is wrong, and it’s a PASS until the AI or the workflow changes.