Dokko
Document AI that reads contracts, manuals, and policies in full, cites every answer, then acts in your existing tools.
Pick Dokko when a wrong answer costs more than the subscription — dense, cross-referenced documents plus a need to actually do something with the result. Citations baked into retrieval and per-agent action scoping are the two things most document AI tools skip. Pass if you want a flat unmetered bill, or if your corpus is small enough that ChatGPT does the job.
Verified 20h ago · liveness 81/100 · cite: rightaichoice.com/tools/dokko
- Legal teams reviewing contracts and playbooks who need clause-level citations on every answer
- Compliance teams in regulated industries that must show which document an answer came from
- Technical documentation teams working through large manuals and dense, multi-column PDFs
- Support teams deploying a branded customer-facing chat widget with refusals configured
- Casual users who want quick answers over a few simple documents — ChatGPT costs less
- Single-person research notebooks, where NotebookLM's one-notebook model fits better
- Teams that need a genuinely fixed bill and won't manage page, token, or action meters
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Skip Dokko if you want a flat, unmetered bill and only ever query a handful of simple documents — ChatGPT covers that for far less, and Dokko's pages, tokens, and tool-action meters only pay off once documents are the product.
Pages pause at your allowance by default, but opting into page overage bills $0.03 per extra page — and the Premium parser bills 5 pages for every PDF page it reads.
Starter at $99/mo fits a small team indexing its first knowledge base, and Pro at $199/mo is the tier most production document-AI teams land on because the Premium parser is only opt-in from Pro upward. Enterprise is custom-quoted. Against ChatGPT, which costs far less for ad-hoc Q&A, Dokko is the expensive choice unless documents are the product; against Glean, it competes on full-document reading rather than cross-SaaS search.
In short
Dokko — Document AI that reads contracts, manuals, and policies in full, cites every answer, then acts in your existing tools. Best for Legal teams reviewing contracts and playbooks who need clause-level citations on every answer, Compliance teams in regulated industries that must show which document an answer came from, Technical documentation teams working through large manuals and dense, multi-column PDFs. Free to start; paid plans from $99/mo.
What's new in Dokko
Checked 7 days agoAcross the latest 5 updates: 4 feature updates and 1 launch.
Agents and chat always tell users they are talking to an AI when asked, for every organization
Chat and agents now disclose AI identity on request to meet the EU AI Act requirement. Agents also gained current date and time awareness, and end users can sign in with their own company Microsoft Entra ID account.
Dokko Tools: agents can take actions in more than 100 business apps
Agents can act in over 100 business apps including Gmail, Slack, Jira, and HubSpot. A new Tools page browses the catalog, connects org-shared accounts, and scopes which apps and actions each agent may use.
Admins can block and unblock chat sessions with a reason
Admins block a chat session with a reason (abuse, spam, or other) and the visitor sees it. The sessions list became one filterable view across blocked, active, and intercepted sessions.
File management adds folder upload, progress percentage, and range select
You can upload whole folders rather than single files, watch upload progress as a percentage, and use Ctrl+A or Cmd+A to select all and Shift+click to select a range.
Chat widget adds multiple chats and persistent history with consent
Visitors can keep, switch between, and rename several chats in one widget, enabled per widget. New Chat history settings retain conversations between visits once consent is given, with configurable retention.
What people actually say about Dokko — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
27 mentions across 2 sources (YouTube, Product Hunt) · researched Aug 6, 2026.
Average across the 2 sources that answered — each source counts once, not each post.
- +Reads entire documents including tables, charts, and diagrams.
- +Cross-document retrieval with citations to source exactly.
- +Integrates with Slack, Jira, Zendesk for in-tool actions.
- +Confidence-based escalation to humans prevents silent failures.
- +Multi-model support with BYOK offers flexibility.
- −No community evidence of real-world effectiveness.
- −Lack of independent reviews makes trust hard to build.
- −Enterprise focus may alienate small business users.
- −Setup complexity with multiple models and integrations.
- −Cost adds up with page, token, and tool action meters.
- • Overage charges on pages, tokens, and tool actions
- • Advanced parser may cost extra per page
- • Premium models may incur additional fees
Viability Score
How well maintained and how widely used is Dokko? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Full-document reading across text, tables, charts, and diagrams
- Document-level citations on every answer as a structural property of retrieval
- Cross-document retrieval across an entire knowledge base
- Configurable chunking, enrichment, and retrieval ranking per knowledge base
- Skills: in-conversation actions tied to a knowledge base, with optional Lambda tools
- Agents: multi-step workflows via MCP, OpenAPI, or Composio
- Dokko Tools catalog of 100+ business apps including Gmail, Slack, Jira, HubSpot
- Per-agent scoping of which apps and which exact actions an agent may use
- Agent-as-Tool support so agents can be invoked inside workflows
- Confidence-based escalation to a human via Slack, Zendesk, or any connected tool
- Multi-model support (Claude, GPT, Gemini, Llama, Nova) chosen per agent, with BYOK
- Branded customer-facing chat widget via one script tag, with dark mode palette
- Multiple named chats per widget plus consent-gated history between visits
- Monthly overage ceiling that auto-pauses metered spend
- Import cost preview with per-knowledge-base Standard or Premium parser
About Dokko
Dokko is document AI for teams whose answers have to hold up: legal, compliance, technical documentation, and support groups working through contracts, regulatory archives, manuals, and policies. It reads each document end to end, including tables, charts, and diagrams, and pulls answers from across an entire library. Every answer carries document-level citations, because citation is baked into how retrieval works rather than switched on in settings. The engine does three jobs. Know handles ingestion and cross-library retrieval, with chunking, enrichment, and ranking configurable per knowledge base. Skills are in-conversation actions tied to that knowledge — return a structured contact card, refuse competitor questions, run a coverage calculation off a spec-sheet number — with optional Lambda tools for custom logic. Agents chain multi-step workflows across your stack: read a contract, extract liability clauses, post a redline to Slack, file the Jira ticket. As of August 27, 2026, Dokko Tools lets agents act in more than 100 business apps, with per-agent scoping of which apps and which actions each one may use. Deployment comes two ways from one engine: an internal assistant with role-based access scoped per team, or a customer-facing chat widget added with a single script tag and branded with your own palette. You pick the model per agent from Anthropic, OpenAI, Google, Meta, or Amazon, and BYOK is supported. Low-confidence answers escalate to a human through Slack, Zendesk, or any connected tool. Since August 3, 2026 the widget supports multiple named chats and consent-gated history that persists between visits. Against ChatGPT or NotebookLM, the split is document depth versus generality — those tools are cheaper for one-off Q&A over a handful of files. Against Glean, Dokko trades breadth of SaaS search for depth of document reading plus an action layer.
Behind the Verdict
We'd reach for Dokko when a team asks the same hard questions of the same unwieldy documents every week. Procurement checking termination notice periods against a supply agreement, compliance tracing a policy answer back to a filing, support digging through multi-column manuals — that's the shape of work it was built for. The thing that decides it is the citation model. Most tools chunk first and hope retrieval stitches meaning back together, which produces answers that read confidently and are quietly wrong. Dokko reads whole documents and cites them as part of retrieval itself. For regulated work that difference is the whole purchase. Budget some real setup time on the parsers. The Standard parser handles clean text PDFs at 1x against your page allowance; the Premium parser is the one for scanned contracts, borderless tables, and regulatory archives, and it counts 5x. Premium isn't on Starter, is opt-in per knowledge base on Pro, and is default-on for Enterprise. If your corpus is nasty, price the 5x multiplier before you commit to a tier. The three meters are the other thing to model. Pages, tokens, and tool actions each have an allowance, and token burn scales with the model you pick — Sonnet 4 and GPT-5 sit at 6x the Haiku 4.5 baseline, Opus and GPT-5 Pro at 15x. A team that puts everything on frontier models will chew the Pro plan's 20M tokens faster than they expect. The monthly overage ceiling is the guardrail worth setting on day one; it auto-pauses overage meters so a runaway agent loop can't turn into a four-figure invoice. Keep the early-access flag in view. Skills and Agents are production-usable but still iterating, so surface details may shift. Pin down what you depend on before you wire them into a compliance process. Versus NotebookLM: that's a
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Real-world workflow fit
Concrete scenarios for the personas Dokko actually fits — and what changes day-one when you adopt it.
Upload the supplier contract library, ask what the notice period is for terminating the Meridian supply agreement, and get an answer citing supply-agreement-meridian.pdf §11.2 and procurement-policy.md. Then tell Dokko to draft the termination notice and route it to legal.
Outcome: The draft posts to #legal-review in Slack and a Jira ticket is filed, so the work continues where the answer used to stop.
Index the policy archive and the regulatory filings, ask cross-document indemnity questions across all supplier contracts, and set confidence thresholds so borderline questions escalate through Zendesk instead of being answered.
Outcome: Every answer carries the document it came from, and uncertain ones hand off to a human with the conversation context attached.
Drop the chat widget on the support page with one script tag, enable dark mode and a separate palette, turn on the footer disclaimer, configure a Skill that reflects competitor questions to a structured contact card, and let agents act in HubSpot and Jira.
Outcome: Visitors get cited answers branded as the company's own, visitors can sign in with their company Entra ID account, and the questions the widget can't handle reach a human.
Use Cases
- Index underwriting manuals and case decisions so risk precedent questions return a cited answer in about 90 seconds
- Draft a contract termination notice and route it to legal review via Slack and Jira
- Answer cross-document indemnity questions across every supplier contract in one query
- Embed a branded chat widget on your support page that cites source documents and escalates ambiguous questions
- Run a coverage calculation on a value pulled from a spec sheet inside the conversation
- Refuse competitor questions or return a structured contact card through a configured Skill
- Let agents take actions in over 100 business apps, scoped per agent to specific apps and actions
- Give chat visitors a sign-in with their own company Microsoft Entra ID account instead of a shared link
Models Under the Hood
as of 2026-10-14
Limitations
- Skills and Agents are in early access — production-usable today, but the vendor says surface details may shift while the product matures.
- The Premium parser, which handles borderless tables, multi-column layouts, regulatory archives, and scanned contracts, counts 5× against your page allowance and is not available on Starter, only opt-in per knowledge base on Pro, and default-on for Enterprise.
- The specific vision model behind full-document reading is not named on the site.
- Usage is metered across three dimensions — pages, tokens, and tool actions — each with its own pause-or-pay setting; token budget depletes faster on expensive models, up to 15× the Haiku 4.5 baseline for Opus and GPT-5 Pro.
- Starter caps the Premium parser, so dense-PDF teams end up on Pro.
- There is no free tier, only a 14-day trial.
as of 2026-10-11
Verification history
We have re-verified Dokko 10 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 10 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Dokko tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Starter
$99/mo
Ideal for
A small team indexing its first knowledge base — one or two document collections, modest query volume, no dense scanned PDFs.
What this tier adds
Starting tier: $99/mo for 7,000 pages, 10M tokens, and 500 tool actions per month, with the Standard parser only and email support at 48h.
Pro
$199/mo
Ideal for
Teams running document AI in production, especially anyone whose corpus includes multi-column layouts, borderless tables, or scanned contracts.
What this tier adds
Adds opt-in Premium parser access, 20,000 pages, 20M tokens, 1,000 tool actions, chat support at 8h, and per-meter overage controls with a monthly ceiling.
Enterprise
Custom
Ideal for
Regulated organizations with large corpora, BAA requirements, or a need to run in a dedicated VPC.
What this tier adds
Custom allowances on all three meters, Premium parser default-on, BAA available, dedicated support contact, and dedicated VPC deployment.
Where the pricing makes sense
The company stage and team size where Dokko's pricing actually pencils out — and where peers do it cheaper.
Starter at $99/mo fits a small team indexing its first knowledge base, and Pro at $199/mo is the tier most production document-AI teams land on because the Premium parser is only opt-in from Pro upward. Enterprise is custom-quoted. Against ChatGPT, which costs far less for ad-hoc Q&A, Dokko is the expensive choice unless documents are the product; against Glean, it competes on full-document reading rather than cross-SaaS search.
Setup time & first value
How long it actually takes to get something useful out of Dokko — broken out by persona, not the marketing-page minute.
Upload-and-ask is an afternoon: drag documents in, Dokko shows the page count and parser cost before you confirm, and the assistant is live when indexing finishes — no prompt engineering or schema design. Dokko says most teams ship their first production deployment within a week of signing up. Embedding the customer-facing widget is one script tag. Heavier work — per-agent action scoping, Skills
Switching to or from Dokko
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From ChatGPT or NotebookLM: re-upload the documents you were querying ad hoc, then point Dokko at the whole knowledge base rather than individual files so retrieval spans the library.
- →From a fragment-based document search tool: rebuild the knowledge base in Dokko and set chunking, enrichment, and retrieval ranking per knowledge base, since the previous tool's index won't carry over.
- →From Glean: keep Glean for cross-SaaS search if you rely on it, and move the document-heavy corpora to Dokko, reconnecting Slack, Jira, and Zendesk through Dokko's OAuth flow.
- →From an internal script or RAG prototype: expose your custom systems as an MCP server or attach an OpenAPI spec and re-implement the surrounding logic as Skills and Agents.
- ↗To ChatGPT or NotebookLM: export the source documents and re-upload them, accepting that cross-document retrieval and the action layer don't come along.
- ↗To Glean: move to it if cross-SaaS search breadth matters more than reading documents in full, and rebuild the automation in its connector model.
- ↗To a self-hosted RAG stack: your documents are yours, but Dokko's per-knowledge-base chunking, enrichment, and retrieval ranking settings would need to be reimplemented.
- ↗To an agent framework: Skills and Agents map conceptually onto tool calls and multi-step workflows, but confidence escalation and per-agent model selection are Dokko-specific.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Dokko”, and we withheld 6: 6 could not be judged, because “Dokko” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Dokko.
Official links
Tools that pair well with Dokko
Common stack mates teams adopt alongside Dokko, with the specific reason each pairing earns its keep.
Anara
Anara is an AI research assistant that searches 300M+ papers and cites every answer to the exact passage in your source.
Humata AI
Humata AI is a PDF AI that answers questions across your documents with cited links into the exact source section — citations you can trace
Harvey
Harvey is the agentic AI platform for legal work — research, document analysis, and contract review under enterprise governance.
Featured Head-to-Head Comparisons
Dokko vs Surge Ai
Choose Dokko if you need a production-ready document AI that reads full contracts, cites sources, and takes actions across tools like Slack and Jira. Choose Surge AI if you're building or evaluating frontier models and need expert human feedback for RLHF, red teaming, or rigorous benchmarking on complex tasks.
Dokko vs Praktika
If you're an intermediate language learner who wants mobile speaking practice with instant feedback, Praktika's AI tutors are a solid pick. But if you need to analyze complex contracts or technical documents with citations and workflow automation, Dokko is purpose-built for that—though it lacks a free tier. Choose based on your domain: conversation or documentation.
Dokko vs Turnitin
Choose Dokko if your team needs to extract answers from complex, cross-referenced documents (contracts, manuals) and automate workflows via Slack/Jira. Choose Turnitin if you're an institution requiring plagiarism detection, grading tools, and exam security. They serve entirely different use cases — pick based on whether you need enterprise document AI or academic integrity.
Dokko vs Semantic Scholar
If you need to dissect dense contracts or compliance documents with cross-references and then act on them via tools like Slack, Dokko is the specialized choice—though it costs. If you're a researcher hunting for scientific papers for free, Semantic Scholar is unbeatable. Pick by workflow, not by hype.
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