DocJuris vs LegalSifter: how they compare in 2026
DocJuris and LegalSifter both review incoming contracts against a company's own playbook and return redlines in Word. DocJuris sits in the top two bands on nine of fifteen axes and LegalSifter on eight of fifteen, and each leads on a different half of the grid. DocJuris leads on evidence and isolation. It names eight customers with a figure for each, including Flex cutting review from eight days to five minutes, and runs each customer in its own single tenant deployment. Its terms commit to notice before a government compelled disclosure. LegalSifter leads on what it tells a buyer about the AI itself. It publishes an issue spotting accuracy of 95 percent or more, prices each contract review from $80, and lets customers choose OpenAI or Google Gemini to process their contracts. It also commits to breach notice within 24 hours. DocJuris names no model provider, and its terms grant it a perpetual license to customer data and output to improve its services. LegalSifter's terms could not be read, so nothing establishes what it stands behind.
At a glance
All 15 axes, side by side
The same grid applied to every vendor in the index, graded from public sources. Hover a grade to see what the letter means on that axis.
AI Centrality
How much of the product is actually AI. Whether the machine learning is the mechanism the buyer is paying for or a feature layered onto conventional software, and whether the vendor is specific about which is which.
Remove the models and there is nothing this vendor sells, which is the A band. The catalogue is organised as roughly two dozen applications whose unit of delivery is a finished AI work product: a tracked-changes redline, a deviation memo on the customer's template, a restated contract, an Excel lease abstract, a completed security questionnaire, a citation-backed research brief. Pricing follows the same logic and is stated to be sized to contract volume and the applications enabled rather than to headcount, so the buyer is charged for the work the models complete. The custom route is the clearest tell: the vendor scopes a described workflow and ships a new application in weeks, meaning the product line itself is generated by model capability. The counter-argument is named rather than hidden: the catalogue does contain an operations layer, intake forms, matter boards, approvals, a repository and a counterparty deal room, and a workspace of that kind would still open without models, which is the B band's shape. It does not carry the record, because each of those is described in the vendor's own words as model-run, the repository being searchable by meaning with obligations mined and invoices carrying verdicts computed rather than guessed, and because the vendor positions expressly against the workflow product, describing what it returns as a finished redline rather than a workflow ticket. Verified 12 September 2026.
The machine learning is the mechanism the buyer pays for. ReviewPro is priced per contract reviewed, and the review is the product: more than two thousand pre-trained Sifters spot issues and missing terms against a playbook and generative AI applies the redlines; remove the models and there is a playbook document and nothing to run it. The company has sold contract-specific AI since 2014 and the software line is distinct from its human services. Product page, sign-up page and May 2025 launch release read 6 September 2026.
Citation Accuracy and Hallucination Disclosure
Whether the vendor publishes measured accuracy on citations and assertions, grounds output to primary sources, and says plainly what its system does when it does not know. Legal has a documented public record of fabricated citations reaching filed briefs, so an untested claim of accuracy is not evidence.
Accuracy is asserted without measurement and grounding is claimed without a described method, which is the C band exactly. The limbs bite more here than on most contract products because the catalogue includes a Legal Research application that produces citation-backed briefs from primary law across eight jurisdictions, so authority is being generated and not merely clauses. What is published: grounding claims in the vendor's own idiom, that markups derive from the customer's own playbook and precedent, that generated documents put deal terms onto the customer's form with nothing silently invented, and that security questionnaires are answered from the customer's own policies with nothing invented. What is absent is everything A and B ask for: no accuracy figure, no test set, no error rate, no described retrieval method, no statement of what the system does when it can find no support, and no way for a reader to open and verify the primary authority behind a research brief. R40 governs the floor and the D limb does not fire, because the accuracy content is not a bare no-hallucination claim: Subscription Terms section 5.03(b) states that given the probabilistic nature of machine learning the Services may produce incorrect Output that does not accurately reflect real people, places, facts or laws, and directs the Client to evaluate accuracy including by using human review. A contractual limitation is more than most C records carry and it is recorded rather than credited to the band. Verified 12 September 2026.
A measured accuracy figure is published, short of a described test set and named failure modes. The free-trial page states 95 per cent plus accuracy in issue spotting, formatting and tone, and the launch release describes contract-specific AI developed and tested over ten years; no test set, method, date or failure-mode statement accompanies the figure on the surfaces read. The primary-authority limbs do not apply to a tool that reads the customer's own contracts against a playbook. Free-trial page and launch release read 6 September 2026.
Autonomy and Oversight Model
What the system decides on its own, what a lawyer must approve, and whether the vendor documents where the review point sits. A tool that drafts under review and a tool that files without one are different products and different risks.
A written commitment that the models work alongside a supervising lawyer, with real review surfaces, short of the threshold at which the system acts alone. The modes are published and named: Quick Pass where speed matters, and Guided Review where the user confirms each position. The review surface is the artifact itself, since every proposed edit arrives as a tracked change in Word that a lawyer accepts or rejects, with internal comments held back from the counterparty, and the vendor describes the product as recommending focused changes via a checklist with a human in the loop while the user controls strategy. The route back to human judgement is contractual as well as descriptive: Subscription Terms section 5.03(b) places evaluation of Output on the Client and names human review as the means. R37 rule 2 governs what holds it off A. The same estate markets an operations layer that runs itself, invoice verdicts computed rather than guessed, and agents that solve any workflow, and those claims cannot all be true alongside confirm-each-position. The conflict is not itself a downgrade; what it reveals is that no threshold, confidence boundary or class of work is published at which the system proceeds without a reviewer, and that is the limb the B band names as commonly absent. The note carries both claims so a reader weighs them. Verified 12 September 2026.
The modes and the review surface are published, short of the full control structure. The product runs a first-pass review, flags issues with guidance and proposes redlines that a person applies with one click inside Word or Google Docs; the playbook a customer configures sets the rules, positions and fallback language, and the product page states that AI automates routine tasks and highlights key issues for human review. What is not published is a threshold at which any redline is applied without a person or a stated route back after a wrong redline beyond the reviewer's own edit. Product page, sign-up page and Google Workspace listing read 6 September 2026.
Operational and Outcome Evidence
Named, dated evidence that the product works in production at real firms or legal departments. Case studies with figures and identified customers count. Unattributed testimonials and launch announcements do not.
Real deployment evidence with unusual substance, held at B on the limbs that cannot be established rather than on thinness. Eight customers are named with a figure attached to each: Flex at contract review falling from eight days to five minutes, described as 99 per cent less review time; Siemens at ten times more consistent review; GEODIS at 75 per cent faster approvals from remote teams; Ancestry at twice faster execution across procurement workflows; Purolator at over $300,000 saved and 50 per cent lower legal-technology spend; Careington at five times more consistent review against standard terms; CMA CGM America at 90 per cent faster turnaround; ECS Limited at twice the review speed including on locked and scanned files. Three carry a named executive quoted on the record: the General Counsel of Siemens APAC, the Deputy General Counsel of CMA CGM America and the Head of Legal Operations at Purolator. That is fuller attribution than the B band's examples, which describe a named customer without figures or figures without the name. Two A limbs are not established: no date appears against any of the eight on the surfaces read, and no method is published for any figure, so a reader cannot assess how 99 per cent or ten times was computed. The full case-study library is published and was not opened; under R25 it is not load-bearing for B, which stands on the strip itself, and it is the artifact that would move this row to A if the studies carry dates and a stated basis. Verified 12 September 2026.
Scale and use claims stand in for named deployments on the surfaces read. The vendor states customers and partners in eighteen countries and a decade of contract AI; industry pages exist for healthcare, insurance, manufacturing, technology, higher education, law firms and staffing and were not opened, and no named customer with a figure was located in the material read. A third-party profile refers to university sponsored-research use and is not credited. Product pages and navigation read 6 September 2026.
Privilege and Confidentiality Posture
How client confidences are handled: attorney client privilege and work product treatment, segregation of one client matter from another, whether client data trains any model, and what the vendor commits to in writing rather than in marketing.
Substantive published commitments on confidentiality, readable before signing, short of most of the rest of the A list. The real commitment is Subscription Terms section 4.01(e), which is more specific than this corpus usually sees: DocJuris will hold all Client documents and playbooks confidential using precautions as stringent as it applies to its own confidential information, will not disclose them in a way that permits identification of the Client for the term and a further five years, and where a government authority compels disclosure will notify the Client where permissible and cooperate to obtain a protective order. Tenant-level separation, which is the segregation limb for an in-house buyer, is documented and architectural: an isolated single-tenant deployment on the customer's own subdomain with its own service stack, role-based permission groups scoped to individual repositories and applications, and audit logging of logins and permission changes. Three A limbs fail. Privilege and work product are addressed nowhere, and R33 makes that limb decisive on its own. There is no contractual position on training: the marketing states the models are never trained on customer data while section 4.02(f) grants a perpetual, irrevocable, sub-licensable licence over Client Data and Output to improve or enhance the Services, and the agreement governs the reading. And no position of any kind is published on what a third-party model provider may retain, which matters more here than usual because no provider is named. Retention and deletion are absent from the agreement entirely. Verified 12 September 2026.
Confidentiality is addressed at the level of stated practice and the agreement was not read. The security FAQ states that clients may specify when their data is deleted and that content can be separated and managed under differing scenarios such as litigation hold, and the Google Workspace listing states that contract text goes to LegalSifter's servers and may be processed by OpenAI or Google Gemini according to the organisation's configuration. No statement on training use, privilege or work product, or matter-level segregation was located, and the terms and conditions linked in the footer could not be retrieved on 6 September 2026. Security FAQ, Workspace listing and footer read; terms are the rebuttal route.
UPL and Professional Responsibility Posture
Whether the vendor is clear that it supplies a tool rather than legal advice, who its audience is, and how it addresses unauthorized practice of law, competence and supervision duties, and jurisdiction limits. ABA Formal Opinion 512 is the reference point. Where the advice line is not the duty a product raises, the axis is read through the nearest professional duty it does raise: judicial conduct rules and the reviewing duty for products sold only to courts, and the duty to bill for time actually spent for products that draft time entries.
A real published position on advice versus tooling, stated more precisely than the ordinary disclaimer, short of the supervision and competence dimension. The same sentence appears in the footer of every page read: DocJuris is not a law firm or a substitute for an attorney or law firm, and cannot provide any kind of advice, explanation, opinion, or recommendation about possible legal rights, remedies, defenses, options, selection of forms or strategies. That is specific about the acts disclaimed rather than a bare not-legal-advice line, it sits on the marketing surfaces rather than buried in the terms, and Subscription Terms section 5.03(b) supports it by directing human review of Output. C does not fire: the audience is named rather than ambiguous and the marketing does not describe the product in advice terms. What holds it off A is the dimension this product raises most sharply and does not answer. The platform is sold deliberately to non-lawyers, with procurement and sales operations working in the same tenant and marketed as safe self-serve, generating redlines and negotiating positions on legal documents, and nothing published addresses how a supervising lawyer discharges competence and oversight duties over that work, who may use which application, or any jurisdictional limit. A separate Website Disclaimer page is published in the footer and was not opened; under R25 it corroborates the sentence already read in full rather than carrying the grade. Verified 12 September 2026.
A disclaimer is published without the substance the band asks for. The site footer states that LegalSifter, Inc. is not a law firm and does not provide legal advice, and the product is sold to legal and business teams to review contracts without outside counsel; nothing read describes how the product supports a supervising lawyer's competence duties, and the terms and conditions were not retrievable. No jurisdiction limit is named. Footer and product pages read 6 September 2026; the terms are the rebuttal route.
AI Governance and Bias Disclosure
Published governance over model behavior: who owns it inside the vendor, what is tested before release, and what is disclosed about disparate output across matter types, parties, or populations.
No governance mechanism, testing regime or accountable owner is published, which lands on C rather than lower only because a position of some kind exists. What is located: a privacy-first posture asserted site-wide, a statement that customer data never trains AI models, SOC 2 Type II certification, and two contractual provisions that function as governance even though they are not labelled as such. Section 4.03(c) publishes a scope boundary, stating that the Services are not designed with security and access management for medical records, US Munitions List data, defense articles or ITAR-related data, and barring the Client from putting any of it through the product; a vendor naming work its system should not be used for is a real disclosure and is rarer in this corpus than a principles page. Section 5.03(b) acknowledges probabilistic output on the record. Everything the A and B bands ask for is absent. There is no responsible AI or AI governance page, no framework and no certification against one such as ISO 42001, nobody inside the vendor is named as accountable for AI, nothing is published about what is evaluated before an application ships, and nothing addresses uneven output across contract types, counterparty language or drafting conventions, which is the bias question for a product that applies one company's playbook to everybody else's paper. The SOC 2 attestation is security governance and is not credited here. Verified 12 September 2026.
Development claims without a governance framework, testing regime or accountable owner. The launch release states contract-specific AI developed and tested over ten years and the company describes a combined-intelligence approach of AI plus human expertise; no responsible AI framework, ISO 42001 or equivalent, pre-release testing description or statement about uneven output is published on the surfaces read. Launch release and company page read 6 September 2026.
AI Safety and Data Stewardship
Retention, deletion, access control, and what happens to prompts and documents after they are processed. Whether the vendor states its subprocessors and its incident practice, or leaves the buyer to assume.
Access control is documented and real; what happens to documents and prompts after processing is not addressed anywhere, which is the C band. Published and specific on access: single-tenant isolation with the customer's own data boundary, single sign-on through the customer's identity provider over OpenID Connect with invite-only access when it is off, role-based permission groups scoped down to individual repositories and applications, and audit logging of logins and permission changes, alongside usage metering visible to customer administrators. Against that, four of the five limbs are simply unanswered. The Subscription Terms were read in full and contain no retention period, no deletion or return of Client Data on termination, no incident notification commitment and no security programme running to the customer; section 4.03(a) and (b) allocate security responsibility to the Client for its own systems, credentials and uploads, and section 3.02(g) runs the only audit right in the agreement in the vendor's favour rather than the customer's. No subprocessor list and no data processing addendum exist: the footer is the complete legal inventory and carries neither, which is a page-inventory finding under R20 rather than a failed search. One genuine reader limit is recorded and does not carry this grade: the privacy policy is a stub linking to an iubenda-hosted document that returned a robots refusal to this index's fetcher on 12 September 2026, published and not gated, and a website privacy policy is in any case not where customer-document retention would live. The grade rests on the agreement, which was read. Verified 12 September 2026.
Substantive published policy covering most of the ground, with the security overview not read. Retention and deletion: the security FAQ states that clients may specify when client data is deleted from LegalSifter's systems and that content can be separated for scenarios such as litigation hold. Incident practice: the FAQ commits to notify clients within twenty-four hours of a confirmed breach of network or computing assets giving potential or actual unauthorised access, or of misuse, disclosure or loss of client data. Sub-processors: a sub-processors page exists showing OpenAI, and the Workspace listing names OpenAI and Google Gemini as configurable providers with no local storage. Access control: the Cloud Security overview linked in the footer was not opened and is the rebuttal route. Security FAQ, sub-processors page and Workspace listing read 6 September 2026.
AI Liability and Recourse
What the vendor stands behind contractually when its output is wrong. Indemnities, caps, carve outs, insurance, and whether any of it is published or only reachable through a negotiated agreement.
Liability is addressed only through a limitation clause that disclaims the exposure this product creates, which is the C band, and the drafting is more specific than most records at this grade, so the grade turns on scope rather than on clarity. What is published and precise: section 5.01(b) caps each side's aggregate liability for direct damages at the greater of fees paid in the preceding year or USD 50,000, section 5.01(a) excludes consequential, incidental, indirect, special and punitive damages including loss of data and breach of data or system security, and section 5.01(c) shortens the limitation period to two years, with the cap disapplied only for fraud or wilful misconduct. Section 5.02 is a genuine indemnity with named exclusions, but it runs to third-party intellectual property infringement in the IP or Services and nothing else, and its remedy ladder ends in a refund of the unearned portion of the fee. The exposure a buyer actually carries here is a bad clause accepted, a missed obligation, a redline that concedes a position, or an invented authority in a research brief, and the agreement allocates all of it to the Client: section 5.03(a) supplies the Services as is and as available and disclaims every warranty including accuracy and fitness for purpose, and section 5.03(b) makes evaluation of Output the Client's responsibility. No indemnity, no insurance position, no service level and no warranty of the work product were located. Verified 12 September 2026.
No liability position was located on the surfaces that could be read, and the surface that would carry one could not be reached. The terms and conditions are linked in the site footer and from the Google Workspace listing but did not surface in search and links are not fetchable on this channel; a LegalSifter, Inc. terms of service for the sister product Adams Contracts exists and is not credited for ReviewPro. This records what is locatable on the date and not a finding that no position exists; the terms and conditions are the rebuttal route and would replace this grade on a read. Product pages, security FAQ and footer read 6 September 2026.
Practice Systems Integration Depth
How deeply the product reaches into the systems legal work already lives in: document management such as iManage and NetDocuments, Word and Outlook, contract lifecycle management, matter management, e-billing, and court filing systems.
Real integrations, named and documented, with genuine depth on the surface that matters most, short of the documentation an implementer could work from unaided. The integrations page publishes more than fifty connectors across CRM, ERP and storage categories and names the tools individually: Microsoft Word, SharePoint, Salesforce, Excel, Google Drive, OneDrive, Dropbox, Box, Asana, Trello, Jira, monday.com, ClickUp, Typeform, Microsoft Forms, Google Forms, plus Zapier and Power Automate as routes to several thousand more. The depth is described rather than asserted on the document path, which is the one legal work actually lives on: contracts go in and come back as Word files with tracked changes, comments and formatting intact and no conversion step, and the vendor publishes a separate account of embedding intake through Microsoft Forms, redlining inside Word and version control through SharePoint. An API exists and its semantics are published at the event level, with triggers named for turn added, turn completed and internal comment so a customer's systems react when review work happens, and a documented round trip that pushes a PDF or Word file from a contract record into DocJuris and returns the redline to the originating system, with OAuth 2.0 authentication and agent access controls. What holds it off A: the API documentation is not public and is obtained by emailing support, the connector inventory is presented as a sample rather than a register, and what syncs in which direction is described for the Word path but not for the CLM and ERP connections. A support portal at support.docjuris.com carries integration documentation and was read only in part through the search index. Verified 12 September 2026.
Real integrations, documented, with depth described for the two that matter. ReviewPro runs as a Microsoft Word add-in applying tracked redlines in the document, and as a Google Docs add-in whose marketplace listing documents exactly what it does: reads the current document to extract contract text, creates a redlined copy in Drive, transmits content to LegalSifter's servers and stores nothing locally, with the Google permission scopes listed. The product page states connection to existing apps and CLM software without naming them beyond the company's own Contract Logix. Product page and Workspace listing read 6 September 2026.
Deployment Model and Data Residency
Where the software runs and where the data sits. Multi tenant cloud, single tenant, private deployment, on premises, and whether region of residence is a published option or an enterprise conversation.
The tenancy model is stated clearly on its own with no residency detail published, which the B band now names expressly. Tenancy is the strongest thing on this record and it is stated as architecture rather than as policy: an isolated single-tenant deployment on the customer's own subdomain in the form company.docjuris.ai, with its own service stack, described in the vendor's words as never a shared multi-tenant black box and as isolated from other customers by architecture rather than by policy alone. The deployment path is set out in three published steps covering the dedicated tenant, identity provider integration, and administration through audit logs and usage meters. Residency is absent altogether. No region is named anywhere on any surface read, no menu of regions is offered, no single-region or in-country option is described, no cloud provider is identified, and nothing distinguishes where processing happens from where data is stored, which matters here because the customer's documents are the input and because the model providers behind the applications are also unnamed. The only geographic datum located anywhere is a place-of-processing line for website visitors in the search-indexed fragments of the hosted privacy policy, which concerns tracker data rather than customer contracts and is not credited. Verified 12 September 2026.
Cloud delivery is stated and neither tenancy nor region is addressed with substance. Contract content is transmitted to LegalSifter's servers, the company's Contract Logix platform is described as hosted on Microsoft Azure, and the model providers process content according to configuration; no region, tenancy model or residency option is stated on the surfaces read, and the Cloud Security overview was not opened and is the rebuttal route. Workspace listing, G2 vendor text and footer read 6 September 2026.
Security Certifications and Trust Center
Independent attestation a buyer can pull without a sales call: SOC 2, ISO 27001, penetration test summaries, a trust center with current reports and named scope rather than a badge image.
Certification is real and stated, and the evidence behind it is not reachable without a sales conversation, which is the B band. SOC 2 Type II is named on at least four surfaces including the dedicated Privacy and Security page and the site-wide banner, and it is stated plainly in answer to a direct question rather than displayed as an unexplained badge, so C does not fire. Around it sit administrative controls documented control by control: OpenID Connect single sign-on, role-based permission groups scoped to repositories and applications, audit logging of logins and permission changes, invite-only access where single sign-on is off, and usage metering visible to administrators. R5 governs the access tier and it is the sales-gated one, earning no credit: the published route to the evidence is to book a demo and bring the security team, on which the vendor will walk the architecture and share the documentation the review needs. No request was submitted. What is missing for A is the whole evidentiary apparatus: no auditor is named, no report period or observation window is given, no certificate or report number is published, there is no trust portal of any kind, no second standard such as ISO 27001 is claimed, and no penetration testing, vulnerability remediation target or incident response function is described anywhere. Verified 12 September 2026.
No certification with scope was located on the surfaces read. A Cloud Security overview is linked in the footer and referenced in the company's Adams Contracts terms, and the security FAQ describes breach notification and deletion practice, but no SOC 2, ISO 27001, auditor or report route appears in the material read; the Cloud Security page was not opened and is the rebuttal route. Security FAQ and footer read 6 September 2026.
Model Supply Chain Disclosure
Which models sit underneath, whose they are, where they run, and whether the vendor commits to telling customers when that changes. A legal buyer inherits every dependency it cannot see.
The vendor refers to advanced models without identifying what sits underneath, which is the C band in its plainest form. The disclosure stops at a category and the category is a marketing term: the pricing FAQ states that the vendor runs the best frontier model per task, the catalogue describes agents as frontier models solving any workflow, and the platform is described as proprietary AI. No model is named, no provider is named, no architecture is described beyond the phrase, and no commitment to notify customers when any of it changes was located, so none of A's four limbs is reached and B is not either, because a provider is never named. One adjacent fact is recorded rather than credited, because it answers a different question: the same FAQ offers to run inside the customer's own approved AI deployment, and names Claude and Copilot only as tools a customer may already own rather than as anything DocJuris uses, so it evidences deployment flexibility and not supply chain disclosure. There is no subprocessor list anywhere on the estate and no data processing addendum, so a customer cannot learn the providers by any published route, on request or otherwise. That is the sharper half of this row: on most records at C the identity is obtainable by asking, and here nothing indicates it is obtainable at all. Verified 12 September 2026.
Providers are named and the customer chooses between them; models and change notice are not published. The Google Workspace listing states that organisations configure their preferred AI model provider, that ReviewPro supports OpenAI and Google Gemini and routes requests accordingly, and that contract content may be processed by those providers; the sub-processors page shows OpenAI. No specific model, inference location or change-notification commitment is stated. Workspace listing and sub-processors page read 6 September 2026.
Commercial Transparency
Whether a buyer can learn what this costs without entering a sales process: published rates, the unit being charged, what sits behind an enterprise tier, and what implementation adds.
Pricing is gated behind a demo while the shape is published in detail, which is the C band and the Bloomberg Law precedent at R17. What is published is genuinely more than most gated pages carry: two named ways to buy, an annual platform subscription covering the full catalogue with applications, agents and enterprise integrations bundled, or a professional-services route of a one-time build fee followed by hosting and usage credits with change orders; the basis on which the subscription is sized, being contract volume and the applications enabled rather than headcount; an express statement that nothing is charged per seat, per document or per question; two comparison tables of feature splits; a stated reason for withholding the number; and a launch discount of 20 per cent on a first scope of work engaged within thirty days of a demo. No figure of any kind is published for DocJuris. The dollar amounts that appear on the pricing page describe competitors rather than this vendor and are not the vendor's own pricing. What the record must carry, under R37 rule 1, is that the pricing page and the agreement disagree about the unit of charge, and the agreement governs: the page says unlimited users and no per-seat fees, while Subscription Terms section 3.02(a) sells a subscribed number of Authorized Users stated in the Order and charges any excess at the per-Authorized User rate. Commercial terms otherwise sit in the agreement, including fees payable in advance and irrevocable and non-refundable, ninety days' notice to terminate for convenience, and amendment by public posting with silence for thirty days deemed acceptance. Verified 12 September 2026.
A figure, a unit and a structure are published. The ReviewPro sign-up page lists Basic at eighty dollars per contract with one user and thirty-plus annual reviews, Team at seventy-two dollars per contract with three users and one hundred-plus reviews, and Enterprise at sixty-five dollars per contract with unlimited users, two hundred and forty-plus reviews and single sign-on, all tiers including standard and build-your-own playbooks, with additional reviews addable to any subscription and the unit defined as a contract of up to ten pages at five hundred words a page, longer contracts costing more. Sign-up page read 6 September 2026.
Firm and Practice Coverage
Who the product is actually built for. AmLaw, midlaw, small firm and solo, in house departments, government and courts, and which practice areas are supported rather than merely claimed.
Segment and practice coverage is described with real substance and the boundaries are mostly left open, which is B. Who it is for is stated precisely and repeatedly: in-house legal departments first, with procurement and sales operations named as co-users inside the same tenant, addressed on dedicated pages of their own and on an all-teams page, and sized explicitly from a department of twenty to forty lawyers up to a global enterprise. The exclusion is positional rather than stated as a limit but it is consistent, the vendor defining itself against law-firm economics and describing its design as built around in-house workflows rather than law-firm billing models. Practice coverage is enumerated rather than gestured at, across five named groups, contracts and commercial, legal operations, compliance and regulatory, real estate and facilities, and finance and treasury, with roughly two dozen applications named individually beneath them and industry pages for healthcare contracts, SaaS providers and vendor contracts. One real limit is published, and it is contractual: section 4.03(c) states the Services are not designed for medical records, US Munitions List data, defense articles or ITAR-related data. What is left open holds it off A. The eight jurisdictions covered by the legal research application are counted and never named, no practice area is identified as unsupported, nothing states which applications a non-lawyer may operate, and the catalogue count itself is inconsistent across the site, given as more than twenty-five in the navigation and as twenty-two on two in-page links. Verified 12 September 2026.
Segment and coverage are described with substance and one limit is stated. Industry pages address healthcare, insurance, industrial and manufacturing, technology and software, higher education, law firms and staffing; standard playbooks cover NDAs, goods and services, master services and SaaS agreements; the company states customers in eighteen countries. The pricing unit's ten-page limit is a stated boundary on contract length; no contract type or jurisdiction is named as unsupported. Navigation, sign-up page and product page read 6 September 2026.
The 12 legal signals, side by side
Recorded rather than graded. These are the questions a practitioner has to answer before a tool touches a client matter, and the answers are taken from public material only.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
The public statement is a clear no and the agreement does not carry it, which is what this value records, and the tension is the finding. The site-wide banner states that customer data stays the customer's and never trains AI models, and a product page puts it with a qualifier worth noticing, that the vendor refrains from using contract data to train general models and keeps contracts and playbooks private using enterprise-grade encryption.
No matching prohibition appears anywhere in the Subscription Terms, which were read in full. What the agreement does contain runs the other way and is quoted so a reader can weigh the wording rather than the characterization: section 4.02(f) provides that the Client irrevocably grants DocJuris a royalty-free, fully-paid, worldwide, transferable, sub-licensable, irrevocable and perpetual license to the Client Data and Output as necessary or useful to DocJuris to enforce the Agreement, perform, improve or enhance the Services, and exercise its rights.
Section 4.02(a)(iv) separately makes data and information about the Client's use of the Services, used in an aggregate and anonymized manner, DocJuris's own intellectual property. The row does not take contractual-permitted, because that value asserts an express reservation of a right to train and section 4.02(f) never names training or machine learning; under the R28 test the clause does not name the thing, and the license runs to the Services rather than to the models.
Two further qualifications a buyer should hold together: the improvement right is perpetual and survives termination, and the vendor's own no-training statement is limited on one surface to general models, which leaves customer-specific tuning unaddressed in either direction.
No located public material addresses whether customer content trains models, and the agreement that would carry a term could not be read. The security FAQ addresses deletion, segregation and breach notice without a training statement, the Google Workspace listing describes transmission to OpenAI or Google Gemini according to configuration without a training statement, and the terms and conditions linked in the footer did not surface in search and are not fetchable from a link on this channel. The terms are the rebuttal route in either direction. Surfaces checked 6 September 2026.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
No located public material states how long uploaded contracts, prompts or generated output are kept, and this is an established absence rather than an unfinished search. The Subscription Terms were read in full on 12 September 2026 and contain no retention period, no deletion commitment, no return of Client Data on termination and no export window; section 2.03(d) addresses only payment of amounts owing on termination.
No data processing addendum exists to carry the question instead: the footer is the complete legal inventory of this site and lists the privacy policy, these terms, a website disclaimer, a CCPA notice, an anti-bribery policy and an anti-slavery policy, with no DPA, no subprocessor page and no trust center. The Privacy and Security page describes access control, single-tenant isolation and audit logging in detail and says nothing about how long anything is held.
One reader limit is recorded and does not carry the value: the privacy policy is a stub page whose only content links to a document hosted at iubenda.com, which returned a robots refusal to this index's fetcher on the date shown, and which is a website-visitor policy rather than the instrument where customer-document retention would sit. The point that gives this weight is section 4.02(f), which grants a perpetual and irrevocable license over Client Data and Output while nothing anywhere states when the underlying material is deleted.
The customer controls the retention window by instruction. The security FAQ states that LegalSifter ensures clients may specify when client data is deleted from its systems and can separate content and manage it under differing scenarios such as litigation hold; the Google Workspace listing states that no data is stored locally by the add-in. No default period and no zero-retention setting is stated, and retention at the model providers is not addressed. Surfaces checked 6 September 2026.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
The product maintains its own documented permission model that the customer has to keep aligned, which is this value rather than the stronger one. Separation between customers is architectural and stated as such: an isolated single-tenant deployment on the customer's own subdomain with its own service stack, described by the vendor as isolated by architecture rather than by policy alone. Inside the tenant the model is the vendor's own: role-based permission groups scoped down to individual repositories and applications, invite-only access where single sign-on is disabled, worked examples of business users limited to intake forms and restricted workspaces staying restricted, and audit logging of logins and permission changes.
The product does not inherit a document management system's access model at query time, which is what the top value requires, so the burden of keeping groups correct sits with the customer's administrators. Two gaps a buyer should note. Nothing published describes segregation between matters or deals inside one tenant, which is the question that arises where a legal department, its procurement team and its sales operations all work in the same instance on opposing sides of related negotiations.
And nothing states whether the permission model constrains what the models may retrieve, as distinct from what a person may open.
Segregation is claimed without documentation of a permission model. The security FAQ states that content can be separated and managed under differing scenarios such as litigation hold, and the Enterprise tier adds single sign-on; nothing describes role-based or matter-level walls within a customer or how the review models respect them, and the Cloud Security overview was not opened. Surfaces checked 6 September 2026.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
Notice is committed in the agreement where lawfully permitted, and no transparency report exists, which is this value. Subscription Terms section 4.01(e) is the operative provision and it is specific about the material it covers: DocJuris will hold all Client documents and playbooks confidential and will not disclose them in a way that permits identification of the Client for the term and five years afterwards, unless requested or required by a government authority, in which case it will notify the Client where permissible and will seek to preserve confidentiality by cooperating with the Client to obtain an appropriate protective order or other assurance.
Section 4.01(d) imposes the mirror obligation on the Client for the vendor's confidential information. Two qualifications belong in the reading. The commitment is framed around Client documents and playbooks rather than around all Client Data as defined in section 4.02(f), so the scope of what triggers notice is narrower than the scope of what the vendor holds. And section 2.03(b)(i) permits DocJuris to suspend or terminate access on receipt of a judicial or governmental demand, order, subpoena or law enforcement request, on prior written notice to the Client, which is a separate and unusual consequence of legal process that a buyer should see alongside the notice commitment. No transparency report, reporting cadence or aggregate figure was located on any surface.
No located public material addresses whether the customer is told when its data is demanded by a third party. The security FAQ commits to breach notification within twenty-four hours, which concerns security incidents rather than legal process, and the terms and conditions, where a compelled-disclosure clause would sit, could not be retrieved on 6 September 2026 and are the rebuttal route. Surfaces checked: security FAQ, sub-processors page, Workspace listing, product pages.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
Coverage is described by jurisdiction and the underlying corpus is never identified. For most of the estate the question barely arises, because the product answers from material the customer supplies: its own playbooks, fallback positions, precedent, templates and policies, which the vendor makes the ground of every markup. Two things pull the question back in. The Legal Research application is described as producing citation-backed briefs from primary law across eight jurisdictions, and neither the eight jurisdictions nor the primary law sources behind them are named anywhere, so a buyer is told the extent of coverage and nothing about what is being read or under what rights.
And the vendor publishes a library of more than fifty ready-to-use playbook templates covering NDAs, MSAs, DPAs, procurement, employment and other agreement types, each said to include fallback language and negotiation guidance built by legal experts, with no statement of where that drafting came from. Subscription Terms section 4.02(a)(ii) carves standard or publicly available contract playbooks, terms and clauses out of the vendor's own intellectual property, which implies the library draws on public material without stating it. No license, subscription or public-domain basis is published for any source.
No located public material identifies a legal corpus behind the product's output, and the product is not built on one: the Sifters classify the customer's contract text and the playbooks carry the vendor's or the customer's positions and fallback language, citing no law. The vendor names its chief content officer, Ken Adams, as an author of its contract-language guidance. Product pages checked 6 September 2026.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
No located public material addresses whether authority is checked for subsequent history, and unlike most records in the contract lane this is a real gap rather than an inapplicable limb. The vendor ships a Legal Research application that returns citation-backed briefs drawn from primary law across eight jurisdictions in minutes, and a Trademark Clearance application that produces a DuPont risk rating from USPTO records, so authority is being cited to a legal reader who may rely on it.
Nothing published describes a citator, a treatment signal, a good-law check, a currency or update cadence for the underlying law, or even a prompt telling the reader to verify what the brief cites. The nearest thing located is the general accuracy limitation in Subscription Terms section 5.03(b), which warns that Output may not accurately reflect facts or laws and directs the Client to use human review, and the Horizon Scanning application, which tracks regulatory change against the customer's contracts rather than checking the standing of cited authority.
Recorded so the row states the position rather than leaving a reader to infer it from the vendor's contract-review heritage.
No located public material addresses whether authority is checked for subsequent history, and the product does not retrieve or cite primary law; its output is flagged issues, guidance and redlines on the customer's contract. Recorded as the honest value for a product without a citator function. Surfaces checked 6 September 2026.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
Abstention behavior is described in public material, short of anything observable or evaluated. Two applications carry an express commitment not to fill gaps: Document Generation takes deal documents in and returns a populated draft on the customer's own form with nothing silently invented, and Security Questionnaires answers SIG, CAIQ and custom grids from the customer's own policies with nothing invented. The word silently is doing real work in the first, because it implies a gap is surfaced rather than filled, though the mechanism by which it surfaces is not described.
Guided Review is the structural version of the same behavior, stopping at each position for the user to confirm rather than proceeding, and it is offered as a named alternative to Quick Pass. Subscription Terms section 5.03(b) states the general position contractually, that machine learning is probabilistic and may produce incorrect Output, and directs the Client to evaluate accuracy including by human review. What is absent is everything the top value asks for: no confidence or grounding score is exposed to the user, no uncertainty marking appears within a redline or a brief, no rate of abstention or escalation is published, and no evaluation demonstrates the behavior.
No located public material describes what the Sifters or the redlining model do when they cannot classify a clause with confidence. The product flags terms found and terms missing and applies playbook-driven edits; no abstention path or confidence signal is described. Product pages and Workspace listing checked 6 September 2026.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
Searched on 12 September 2026, on both the product name and the company name, against published trackers of decisions on AI-generated fabricated citations including coverage of the Damien Charlotin AI Hallucination Cases database and two independent sanctions trackers, for any court order, opinion or disciplinary record addressing fabricated or hallucinated legal citations produced by this product. None located. This is a statement about the public record on that one subject as of the date shown, and under R119 this signal records fabricated citations and nothing else, so it is not a litigation history and no other proceeding involving the vendor would appear here.
No court order, opinion or disciplinary record naming LegalSifter or ReviewPro was located as of 6 September 2026. The AI Hallucination Cases database maintained by Damien Charlotin was searched on both names together with a general search for court findings; results returned sanctions involving general-purpose chatbots and commentary, none of which names this product. This is a statement about the public record, not a finding about the product; a contract review tool that cites no authority carries a remote exposure on this signal.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
No located public material engages with bar or ethics guidance. No bar opinion is named anywhere on the estate, ABA Formal Opinion 512 is not cited, no state guidance on generative AI is referenced, and nothing maps any application to a jurisdiction's professional conduct requirements. The Subscription Terms were read in full and, unlike several records in this corpus, never mention privilege, professional conduct obligations or the rules governing the Client's own use; the only client-side obligations are commercial and security ones.
The site-wide statement that DocJuris is not a law firm and cannot provide advice, explanations, opinions or recommendations about legal rights, remedies, defenses, options, forms or strategies is a statement about the vendor's own status and is graded on the professional responsibility axis; spending it again here would work one fact across two rows, and it engages no guidance in any event. The absence is worth naming rather than passing over, because this product is sold deliberately to procurement and sales teams who are not lawyers and who generate negotiating positions in it, which is exactly the territory recent ethics guidance addresses.
No located public material names an ethics opinion, bar rule or professional responsibility framework. The footer states that the company is not a law firm and does not give legal advice, and a law-firms industry page exists and was not opened; no guidance from any bar or regulator on lawyers' use of AI is named on the surfaces read. Footer and product pages checked 6 September 2026.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
The product is bought by a team that bills no client for the work, so no lawyer-to-client fee turns on how fast it runs. The buyer is an in-house legal department, expressly and repeatedly: the vendor writes that its model is built for in-house workflows rather than law-firm billing models, prices on an annual platform fee sized to contract volume rather than on metered work, and argues that law-firm software is metered because law firms bill by the hour while in-house teams work the opposite way.
Savings claims are extensive, from eight days to five minutes at Flex and over $300,000 saved at Purolator, but they are aimed at the buyer's own cost and reach no client's bill, so under this value they are recorded here rather than making the row a savings claim. One application needs naming and does not change the value. The eBilling and Outside Counsel Spend application reviews every outside counsel invoice against the customer's billing guidelines with verdicts computed rather than guessed, which does touch a lawyer-client fee, but R41 governs the direction: the record it emits is the client's side of someone else's invoice, an object different from a record of what this vendor's AI did. Nothing published addresses disclosure of AI-assisted work in any fee context, in either direction.
Law firms are a named industry segment and the published position on the bill is a savings claim: the product page states that AI automates routine tasks and reduces reliance on costly external legal services, and the per-contract pricing is itself a cost comparison against outside counsel. Nothing addresses how AI-assisted review is recorded or disclosed on a client's bill. Product page and sign-up page checked 6 September 2026.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
No located public material supports a client-side disclosure obligation, and this record sits at the bottom of the signal for an unusually complete reason. There is no subprocessor list, no model provider statement, no data processing addendum and no client-facing disclosure material anywhere on the estate; the footer is the complete legal inventory and carries none of them. The value is not on-request either, because nothing indicates the material exists behind a sales conversation: the only offer of documentation is on the Privacy and Security page, where booking a demo and bringing a security team gets the architecture walked and the documentation a security review needs, which is a security artifact rather than the subprocessor and model-provider disclosure this signal asks for.
Under the discipline that a value's own words must be true, on-request would assert the existence of something no surface evidences. The practical consequence is the point: a company whose customer requires it to disclose which AI providers process the company's contracts cannot answer from anything DocJuris publishes, because the disclosure stops at the phrase best frontier model per task and no provider is named. What is published instead, and is recorded rather than credited, is the SOC 2 Type II claim and the single-tenant architecture.
The model providers are named on a public surface and a sub-processors page exists. The vendor-authored Google Workspace listing states that contract content may be processed by OpenAI or Google Gemini according to the organization's configuration, and the sub-processors page on the vendor's site presents OpenAI; the page renders its list as an image with a collapsed FAQ, so whether it carries other processors is not established, and no forwardable disclosure pack or DPA was located. Surfaces checked 6 September 2026.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
No located public material addresses court disclosure or verification certification. The product does generate an artifact with some of the raw ingredients, and it is recorded here so a reader knows it exists rather than credited as a record: every proposed edit is a tracked change in a Word file that a named person accepts or rejects, internal comments are kept separate from what reaches the counterparty, incoming markups are standardized across versions, and a screening report accompanies each review.
That shows who changed what, which is a negotiation audit trail rather than an AI disclosure record. Nothing states that any output identifies which model produced a passage, which portions were machine-generated as against human-corrected, what sources were retrieved, or who reviewed them, and no disclosure template, court-facing guidance or export designed for that purpose was located. The question bites hardest on the Legal Research application, whose citation-backed briefs across eight jurisdictions are the output most likely to reach a filing, and nothing published addresses disclosure there at all.
No located public material addresses court disclosure or verification certification of AI-assisted work. The product applies tracked redlines a reviewer accepts, which leaves an edit trail in the document, but nothing states that a record of the model used, sources and human verification can be exported for a court, and the product produces no court-facing work product. Product pages checked 6 September 2026.
The questions both sides leave open
Derived from the records above rather than written, so it cannot favor either vendor. Take these into both conversations and ask each side the same question.
- Good Law Verification
- Bar Guidance Alignment
- Court Disclosure Support
Which one fits
Choose DocJuris if
- You want an isolated deployment for your legal team. DocJuris runs each customer as a single tenant on its own subdomain with its own service stack, single sign on through your identity provider, and permission groups scoped down to individual repositories and applications.
- You want more than contract review from one vendor. DocJuris offers about two dozen applications, from vendor screening and document generation on your own form to lease abstraction, outside counsel invoice review and security questionnaires, and builds a new one for a fee when none fits.
- You want to choose how closely you review each position. DocJuris offers a Quick Pass for speed and a Guided Review that stops at each position for confirmation, returns every edit as a tracked change, and names Siemens, Flex and Purolator with measured results.
Choose LegalSifter if
- You want to price each review before you buy. LegalSifter publishes $80 per contract on its Basic plan, $72 on Team and $65 on Enterprise, for contracts up to ten pages, with standard and custom playbooks included on every tier.
- You want to choose which AI provider reads your contracts. LegalSifter lets an organization configure whether OpenAI or Google Gemini processes its contracts, and its Google Docs listing documents what the add in reads, creates and sends.
- You want deletion and breach notice commitments. LegalSifter states that clients decide when their data is deleted, can separate content for scenarios such as litigation hold, and will be told within 24 hours of a confirmed data breach.
In summary
DocJuris
DocJuris, from DocJuris, Inc. of Bellaire, Texas, is a contract review and negotiation platform for in house legal departments that screens incoming paper against a company's playbook and returns tracked changes in Word, alongside about two dozen task applications for procurement, legal operations, compliance, real estate and finance. The AI Legal Index grades it in the top two bands on nine of fifteen capability axes, with an A on AI centrality. It runs each customer in a single tenant deployment, states SOC 2 Type II, and names Siemens, Flex, Ancestry and Purolator with results. As of 12 September 2026 the index located no named model provider, no retention period and no price figure.
LegalSifter
LegalSifter, of Pittsburgh, Pennsylvania, operating since 2013, sells ReviewPro, which reviews contracts inside Word or Google Docs using more than 2,000 trained classifiers against a playbook and applies generative redlines with one click; it also sells managed services and owns the Contract Logix platform. The AI Legal Index grades it in the top two bands on eight of fifteen capability axes, with A grades on AI centrality and pricing, published from $80 per contract. It states issue spotting accuracy of 95 percent or better, lets customers choose OpenAI or Google Gemini, and commits to breach notice within 24 hours. As of 6 September 2026 the index could not read its terms and located no security certification.
Questions buyers ask
DocJuris vs LegalSifter: which is better for playbook contract review?
The grid barely separates them: DocJuris sits in the top two bands on nine of fifteen AI Legal Index capability axes and LegalSifter on eight of fifteen. DocJuris publishes more about isolation, named customer results and professional responsibility. LegalSifter publishes more about the AI itself, including an accuracy figure, its model providers and per contract prices. Teams that want to price a tool before talking to sales have more to read from LegalSifter.
Does DocJuris train AI on customer contracts?
Its site says customer data never trains AI models, and one page limits that to general models. Its subscription terms contain no training prohibition, and grant DocJuris a perpetual and irrevocable license, which it may sublicense, to customer data and output to perform, improve or enhance its services, without naming training. LegalSifter's public pages do not address training, and its terms could not be read. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 25, 2026. No vendor pays for placement.
How much does LegalSifter cost?
LegalSifter prices ReviewPro per contract: $80 on Basic with one user and 30 or more reviews a year, $72 on Team with three users and 100 or more, and $65 on Enterprise with unlimited users, 240 or more reviews and single sign on. A contract counts as up to ten pages; longer ones cost more. DocJuris publishes no figure and sizes its fee to contract volume and applications. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 25, 2026. No vendor pays for placement.
Which AI providers do DocJuris and LegalSifter use?
LegalSifter's Google Workspace listing says organizations choose whether OpenAI or Google Gemini processes their contracts, and its subprocessors page shows OpenAI. DocJuris says it picks a frontier model for each task but names no provider, and no subprocessor list or data processing addendum is published on its site. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 25, 2026. No vendor pays for placement.
What do DocJuris and LegalSifter both leave unpublished?
An AI governance position and a record of AI use. Neither describes a governance framework, an accountable owner or testing before release, or addresses uneven output across contract types. Neither addresses privilege or work product, names bar guidance on AI, or describes an export showing which model produced a redline. Neither publishes a data processing addendum. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 25, 2026. No vendor pays for placement.
Three readings to weigh. DocJuris's subscription terms grant it a perpetual, irrevocable license to customer data and output to improve its services, and sell a set number of named users with a charge for more; the terms are the binding text. LegalSifter's terms could not be retrieved, so its low grade on liability records what could be read rather than what its contract says. Its 95 percent accuracy figure comes without a test set or method. DocJuris was verified on 12 September 2026 and LegalSifter on 6 September 2026. Neither vendor reviewed this page.
Neither vendor paid for inclusion, placement or a grade, and neither reviewed this page before it published. Everything above comes from public material on the dates shown. How the index grades.