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Dodonai

Every function a customer pays for is model output. Deposition summarization, medical chronology construction, OCR of scanned records including handwriting and tables, extract and draft agents, and semantic ediscovery that finds evidence by meaning rather than keyword make up the platform. Pricing charges by pages processed, with multipliers by process type, so the bill tracks inference directly.

Without the models, what remains is a document store with a lookup box. Dodonai's FAQ calls it an AI document processing platform built for legal professionals.

Deposition summaries carry page and line citations, so each point leads back to the transcript location it came from, and the transcript product adds automated Bluebook citations and an assistant that works over the full text. Chronologies and extracts carry page citations against the source document as well.

Section 3(d) of the terms says that, given the probabilistic nature of machine learning, the services may produce incorrect output that does not reflect real people, places or facts. It tells customers to evaluate accuracy, including by human review. Dodonai claims its output is on par with a skilled human reviewer. No accuracy figure, test set or method is published.

Dodonai treats AI output as draft work product. Its Safety and Trust page says the customer's team verifies source citations, facts, dates and current legal authority before any use or release. Automated source links, the page adds, do not replace citator checks or the firm's own research and supervision. Page and line citations give the reviewer the path back to the source, and every action is logged.

The custom agents sold through AI Managed Services go further. They draft and never send, attorneys authorize every action that leaves the firm, and an agent that is not confident asks instead of guessing. Inside the App, no threshold at which processing stops for review and no route after a wrong summary is described.

One quotation is published, from a commercial litigator identified only as Ben, saying that on the first day Dodonai summarized every deposition transcript in a case in seconds, saving hours of work and client costs in the hundreds. No organization is named, and there is no logo strip, case study or customer count.

The litigation cost page claims a 300 page deposition summary that costs $1,500 to $7,500 from a service vendor costs under $10 in Dodonai, with no customer or method behind the figure. Comparison pages for deposition and chronology software are Dodonai's own category content.

Section 3(e) of the terms says both parties acknowledge that content may include confidential and privileged information and that Dodonai will use all reasonable efforts to keep it confidential. It goes on to state that both input and output are attorney work product and that Dodonai shares a common interest with its users. Workspaces are isolated for each client, case data is siloed, access is role based and every action is logged.

Under section 3(c), Dodonai works only with LLM partners that disclaim using the content to improve their own services and delete customer data after a reasonable time, 30 days for OpenAI. Dodonai may use customer data to improve its own services only where the customer opts in. No retention period applies to Dodonai's own storage, and OpenAI is the only partner named.

Dodonai's Safety and Trust page calls AI output draft work product and puts verification of citations, facts, dates and current authority on the customer's team before use or release. The same page walks through ABA Formal Opinion 512, mapping the duties of competence, supervision and confidentiality onto AI use, and offers the agent audit trail as support for supervision.

The terms do not say the services are not legal advice, and they name no jurisdiction limit. Section 3(e) calls input and output attorney work product and asserts a common interest with users. The audience reaches beyond lawyers, with material for paralegals, court reporters, IME companies and IME doctors, and section 1 sets the minimum user age at 13, with parental permission under 18.

Section 3(d) of the terms acknowledges the probabilistic nature of machine learning and the chance of incorrect output, and section 3(b) explains that output may not be unique across users. The Safety and Trust page sets out a safety layer for the custom agents. Citations are verified against Westlaw, Lexis or the primary source, the opinion text sits beside each summary, attorneys authorize every outbound action, and an audit trail records what each agent saw, produced and changed.

No one inside Dodonai is named as accountable for model behavior, no evaluation before release is described for the App, and no testing results are published. Nothing addresses bias or uneven output across injury types, record types or patient populations.

Data is encrypted with AES 256 at rest and TLS 1.2 or higher in transit, from the moment documents leave the browser. Workspaces are isolated for each client, access is role based and every action is logged. Section 5(a) of the data processing addendum lists the required security measures across personnel, facilities, hardware and software, storage and networks, access control, monitoring and logging, breach detection, incident response and encryption.

Section 5(c) requires notice of any personal data breach by Dodonai, its LLM partners or anyone acting for it without undue delay, and section 8 returns or deletes customer data on termination or reasonable request. No retention period for Dodonai's own storage during the term is published, and no subprocessor list names more than OpenAI.

Section 7(b) of the terms provides the services as is and disclaims every warranty, including that the services will be accurate or error free or that content will stay secure and unaltered. Section 7(a) runs one way: the customer indemnifies Dodonai, and no indemnity is given to the customer, intellectual property claims included.

Section 7(c) caps aggregate liability at the greater of twelve months of fees or $100 and excludes indirect and consequential damages, loss of data included. No insurance is stated, and the customer carries the loss when output is wrong.

Uploaded files are the working material, and Dodonai's case management and document management pages present it as a processing layer beside the systems a firm already runs rather than a connected one. No document management, case management, email, word processing or signature product is named, and there is no integrations page or developer documentation.

Section 2(c)(iv) of the terms refers to extracting data through the API as permitted, so an API exists, and the enterprise tier lists custom integrations without detail.

Each client gets an isolated workspace, with case data siloed, role based access limiting what team members see, and every action logged. That separates customers from each other. No region, country, hosting provider or processing location is published for the App, and the terms say only that the services may be used in geographies Dodonai currently supports.

Custom deployments from AI Managed Services can run in the customer's own cloud account or Dodonai's, with hosting location, model processors and retention set in a blueprint for each build.

Dodonai states SOC 2 coverage and HIPAA compliance in its hero, its security section and its platform description, with a business associate agreement on request. The Safety and Trust page invites customers to request report information confirming the covered system, reporting period and access conditions. Section 1(i) of the data processing addendum commits Dodonai to cooperate with audits where the law requires, or else to share a summary of third party audit results.

The claim does not say Type I or Type II. No auditor, scope, observation period or report date is published, there is no trust portal, and penetration testing is not mentioned.

Section 2(c) of the terms requires customers to follow the terms and policies of any LLM partner used for processing, OpenAI included, and links OpenAI's policy pages. Section 3(c) limits Dodonai to LLM partners that disclaim using content to improve their own services and delete customer data after a reasonable time, 30 days for OpenAI.

Section 1(g) of the data processing addendum commits to notice of any additional LLM partner and gives fifteen days to object on reasonable data protection grounds. Dodonai can then decline the partner or offer an alternative, among four cure options, and the customer may terminate with a refund of prepaid fees if the objection is not resolved within thirty days. No model is named, OpenAI is the only partner identified, and where inference runs is not stated.

Four tiers are published. Billed annually, $300 buys 4,800 credits a year ($25 a month), $600 buys 24,000 ($50 a month) and $1,000 buys 120,000 ($83 a month), with a custom enterprise tier above them. A page is defined as about 400 tokens of text, and a table sets the cost per page at each volume by process type, with standard summaries running from 6.3 cents down to 0.8 cents.

Custom summaries use credits at twice the standard rate and advanced analysis at three times, while OCR and transcription cost nothing on any tier. All nine capabilities come with every plan, without seat fees or feature gates, and enterprise adds custom integrations, service level guarantees and dedicated onboarding. A free trial of seven days and 100 pages opens from a sign up form, and section 4(c) of the terms promises fourteen days' notice before a price rise.

Six practice areas each have their own page: personal injury, medical malpractice, mass tort, product liability, workers' compensation and disability benefits. Eight use cases have pages too, including medical record review, IME reports, demand letters, expert witness preparation, contract review extraction and litigation cost management. Six industries are addressed separately, reaching past law firms to court reporters, IME companies, IME doctors and medical record retrieval businesses.

The practice areas sit almost entirely on the plaintiff side. No firm size or segment is stated, in house and government use are not addressed, and nothing says which matter or document types the product does not handle.