Legistify vs SimpleLegal: how they compare in 2026
Legistify and SimpleLegal both support corporate legal administration, but they concentrate their AI on different work. Legistify's Codex helps teams work with contracts and case material, create editable outputs, propose agreement changes and monitor developing issues. SimpleLegal's SimpleReview focuses on outside counsel invoices, interpreting billing narratives and identifying entries that fixed rules can miss. The surrounding product follows that distinction. Legistify includes litigation, intellectual property and notices alongside contract management. SimpleLegal brings electronic billing, budgets, accruals, vendor management and financial reporting into one workflow. A department trying to reduce manual invoice administration should examine SimpleLegal's reviewer controls and finance API. One seeking linked agreement review and case coordination should start with Legistify's modules. SimpleLegal's migration path to Unity adds a separate product decision rather than automatically expanding every existing account's capabilities.
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.
Legistify embeds AI in its contracts, litigation, intellectual property and notice workflows. Codex drafts and analyzes material selected from those modules, while Projects group up to fifty related cases or agreements with shared instructions. Contract tools extract terms, assess playbook rules and produce tracked revisions. Monitor runs scheduled research and presents new findings in a feed or digest. Users can also generate editable Word, spreadsheet and presentation artifacts from their working materials. The underlying platform still handles repositories, case updates, permissions, signatures and deadlines without generative output. AI therefore expands an established legal operations suite rather than defining every transaction in it.
SimpleReview supplies AI invoice review within SimpleLegal's broader matter and spending system. Machine learning and natural language processing interpret billing narratives, identify errors and recommend attention to lines that conventional rules can miss. The model distinguishes identical words describing different work, such as shipping a package versus preparing litigation involving the shipping company. Intelligent Invoice Workflows separately apply configured billing rules and route approvals. Matter intake, budgets, accrual reminders, vendor records and reporting remain useful without AI. SimpleReview's customer terms expressly permit training and benchmarking with customer data. Unity is an upgrade destination with additional AI functions, rather than an automatic entitlement of every SimpleLegal account.
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.
Codex Redline presents the original wording, proposed replacement and reason for each change, with tracked revisions preserved in the downloaded Word file. Playbook analysis separates satisfied rules from unmet or inapplicable requirements. Monitor findings include numbered source links that open the underlying material, plus a confidence indication and an explanation of relevance. These features let a reviewer inspect the basis of a proposed edit or research result. No published evaluation quantifies unsupported assertions, citation mistakes or performance across legal tasks. A source link and a favorable playbook finding do not establish that an authority remains current or that an interpretation is correct.
SimpleReview evaluates submitted invoice narratives and flags particular billing lines for review. Its machine learning and language processing add context to fixed billing rules, with a postage example illustrating why a keyword alone can produce a false flag. Invoice detail and summary PDFs remain accessible through the API, and reviewers can inspect the underlying financial record. No current test set, false-positive rate or independently reproducible accuracy result accompanies this explanation. A complete account of how every AI flag links to its supporting rule is also unavailable. Onit's AI terms warn that output can be inaccurate, biased or hallucinated and place verification with the customer; the illustrative example is not an evaluation.
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.
Users choose the files, case connections and project context supplied to Codex. Generated artifacts remain editable, and further requests create versions that can be compared or restored. Redline changes retain Word's acceptance and rejection workflow, with an explanation of each proposed revision. Monitor can operate hourly, daily or weekly after setup, but its described action is collecting and presenting findings. Bedrock Guardrails can block sensitive inputs or mask personal information before processing. No general workflow specifies when uncertain legal reasoning must be escalated, and automated monitoring does not establish authority to file a pleading or execute an agreement for the customer.
SimpleReview identifies suspect billing entries while the department's reviewers make final decisions on the flagged lines. Intelligent Invoice Workflows handle a different layer: customers can configure rules to highlight, reject or adjust entries and build approval routes for their teams. Progress indicators and timestamps show invoice status, and approvers can see why they were included. Instacart describes adding a second approver when an invoice includes work another colleague commissioned. These controls provide an actual review surface and responsibility assignment. The product does not specify an AI confidence threshold that halts processing, a universal approval requirement for every automatic adjustment, or a model-error escalation and rollback procedure.
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.
Named customers describe operational use of the platform. Decathlon's Mihir Shriram discusses the contract management process, while Dabur's Mukesh Mittal describes organizing and labeling contracts in a central repository with automatic reminders for key dates. Shoppers Stop's Pratiksha Shukla describes access to case activity and analytics. These accounts identify users and the work supported, but do not isolate the contribution of Codex or report a measured baseline, observation period and result for AI assistance. General claims about faster work and lower costs therefore remain separate from a demonstrated reduction in review time, missed deadlines or litigation expense.
Instacart's case study identifies Veronica Yu, Legal Process Manager, and describes the move from manual invoice tracking to a central repository with practice-group reporting. It attributes approximately 10% identified legal spending savings to SimpleLegal, reports payment to outside counsel in 15 days or less on average, and contrasts two or three clicks for executive reports with more than two hours previously. Yu also describes assigning a second approver for work commissioned by a colleague. The case has no dated measurement window, sample size or calculation method. Its outcomes cover the overall electronic billing and reporting workflow, so they do not establish the separate contribution of SimpleReview's AI.
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.
The service terms promise confidentiality for documents and case information uploaded to an account, retain customer ownership and permit use to provide the service. Public questions and postings have a different, broadly licensed treatment. AI architecture guidance prohibits using prompts, files and outputs to train foundation models and describes processing through Bedrock within Legistify's AWS environment. Litigation administrators assign roles, permission rights and case followers; staff access follows least privilege and confidentiality obligations. The newer Codex model menu includes options not mapped by the architecture guidance, and a complete processor schedule is not supplied. Attorney privilege itself depends on the customer's use and governing law.
The services agreement treats Customer Data as confidential, limits access to personnel and agents with a need to know, and requires reasonable protective care. SimpleReview's specific terms nevertheless permit analysis, AI training, benchmarking and improvement using that data. Externally shared results generally must be anonymized, aggregated or not recoverable, but named timekeepers, classifications, firms, rates, matter types and other law-firm data have a benchmarking exception. The API limits matter and invoice lists to records accessible to its user. The agreement provides 30 days for export after termination, followed by deletion under the applicable retention policy. Privilege preservation, AI context isolation and precise third-party model retention remain unresolved.
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.
Legistify states that it is not a law firm and that its information does not constitute legal advice. Its older marketplace terms distinguish the platform from independent experts and discuss lawyers' professional obligations. Codex presents generated material as a starting point for review and refinement rather than a replacement for legal judgment. These boundaries apply alongside drafting, contract analysis and litigation assistance that can influence legal work. The service does not provide a jurisdictional allocation of responsibility for each AI workflow, and its enterprise contracting terms may differ from the general website and service terms. Human review remains necessary before professional reliance.
Onit's services agreement expressly states that the company is not a law firm and offers no legal advice, recommendations or representation. SimpleReview's own product terms repeat that it supplies no legal advice and disclaim guarantees for invoice-review results. Customers must review AI output and obtain professional advice when appropriate. The intended users are corporate legal and legal operations teams managing matters, firms and spending, with finance and submitting firms participating in the workflow. AI use is restricted to legitimate internal business purposes, and materially consequential decisions about individuals are prohibited. The terms do not map these controls to lawyers' competence duties, individual licensing jurisdictions or a client-consent workflow.
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.
Legistify describes a controlled Bedrock architecture with Guardrails applied to both requests and responses. Input protections can stop sensitive submissions or mask personal information, and safety filters operate on returned content. Guardrail configurations are tested, versioned and deployed as snapshots under Legistify's control. Separate security policies assign ownership, management approval and annual review to the CISO and other responsible personnel. This establishes mechanisms for changing and supervising AI protections, but no legal task evaluation results, demographic bias analysis or model specific acceptance criteria are supplied. The relationship between newer selectable models and the stated Bedrock controls also remains unresolved.
The AI contract identifies inaccurate, biased and hallucinated output as risks, assigns review responsibility to customers and prohibits high-risk decisions that materially affect individuals. Sensitive inputs and publication of benchmarks require prior written approval. These are use restrictions and risk statements, rather than a SimpleReview testing or model-governance program. SimpleReview learns from historical billing information and customer data, which makes differences across matter types, timekeeper classifications and firm billing practices relevant to its recommendations. No named accountable model owner, release acceptance tests, subgroup performance findings or recurring bias-monitoring procedure is specified for that product. Onit's broader AI commentary does not establish those operational controls for invoice review.
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.
Stored files use encrypted S3 storage, and the service applies TLS in transit, access controls and activity logging. Bedrock inference is described as stateless, but Codex automatically saves conversations within the application. Customer data may remain for up to seven years under the AI guidance, with deletion available on verified request and detailed timing supplied individually. Database snapshots have separate retention windows, including monthly copies kept for twelve months. Incident policies define severity, escalation and internal response targets, including thirty minutes for critical incidents. Customer notification follows applicable obligations rather than a fixed published deadline. These controls leave retention and provider coverage dependent on the particular workflow.
Onit's data processing addendum requires confidentiality, access controls, breach notification and cooperation, with return or destruction of personal data on the customer's written request subject to legal exceptions. Its security annex covers differentiated access, encrypted transfers, activity logs, separation of production and testing, and multifactor remote access. The subprocessor register separates the SimpleLegal services and names hosting, PDF processing, authentication, support and analytics providers. The agreement allows a 30-day export period after termination, then deletion according to the current retention policy, with backup and lawful recordkeeping exceptions. No fixed purge schedule for every copy or model-processing log is stated. SimpleReview's training permission also limits any inference of ephemeral processing.
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.
The general service terms disclaim accuracy and broad categories of loss, require users to indemnify Legistify for claims arising from use, and limit the stated monetary remedy to facilitation charges paid through the platform. They do not give a distinct warranty or indemnity for erroneous AI drafting, advice or citations. Those terms contain extensive provisions for expert consultations and public content and expressly allow separate written agreements for particular services. Their remedy should therefore not be represented as a verified enterprise subscription liability cap. A negotiated enterprise agreement could allocate responsibility differently, but its AI warranties, exclusions and insurance terms are not public.
The services agreement provides a warranty that the subscription will substantially match its functional description and a remedy process requiring notice within 30 days of discovering noncompliance. Uncured failures can lead to termination and a refund of unused fees. Onit also defends qualifying third-party intellectual-property claims, subject to exclusions for customer data, combinations, customer specifications and continued use after notice. Ordinary liability is capped at 12 months of fees under the relevant order; the intellectual-property indemnity is excluded from that cap. AI features and outputs are supplied as is, with no accuracy warranty or standard AI service levels. SimpleReview separately disclaims performance guarantees, leaving incorrect billing judgments outside a specific output warranty.
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.
The litigation API accepts a case identifier and customer reference to begin tracking, and separate webhooks send newly discovered cases and later updates into the customer's database. Implementation requires the customer to expose endpoints and configure authentication. The signature API accepts a PDF and signer details, then returns the executed file, signature timestamps and audit trail through an authorized webhook. Outlook synchronization requires Microsoft administrator consent for Graph mail permissions. SAML setup specifies identity provider metadata and separate test and production callbacks. These instructions identify the information transferred, its direction and the customer's setup work, beyond the integration logos displayed with the platform.
SimpleLegal's REST API moves legal and finance records between systems. Integrations can create vendors, users, matters and payments; retrieve invoices and cost codes; update matter and vendor fields; and send approved invoices to accounts payable or an ERP for payment. The reference describes token authentication, JSON responses, pagination and field filters. Matter creation must satisfy the selected or default template, and integrations must retain the returned record because template rules can change submitted values. A matter flag controls availability to an installed IPfolio integration. Invoice responses include line allocations, currency conversion and approval status; payment creation can mark the invoice paid. This supplies object-level configuration and transaction direction, beyond connector names.
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.
Production infrastructure and databases are hosted in AWS Mumbai, and the Bedrock architecture guidance places inference in that same Indian region. Deployment options include shared service components, customer controlled storage or databases, and infrastructure dedicated to a customer under Legistify's management. The deployment table and accompanying explanations reverse the database allocation of two intermediate options, so their labels do not reliably identify the exact configuration. Codex also lists newer Claude and GPT choices without a matching routing description. India hosting is clear for the stated core environment, but processing location and isolation require confirmation for the selected model and deployment arrangement.
SimpleLegal operates as a hosted service. Onit's subprocessor register specifically assigns SimpleLegal, SimpleReview, CounselGO and Unity to Amazon Web Services in the United States, including AWS PDF processing. Affinda converts portal PDFs in Australia, while Auth0 supplies authentication in the United States. The register also lists global Onit service affiliates and an all-platform OpenAI service with United States and worldwide processing, so core hosting does not establish that every operation stays within one country. Germany hosting options belong to a separate Onit platform table and cannot be assumed for SimpleLegal. Customer-operated deployment, dedicated tenancy and a feature-by-feature map of inference locations are not specified for this product.
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.
A downloadable SOC 2 Type II report by FinAudit CPA PLLC covers March 1, 2025 through February 28, 2026 and expresses an opinion on security, availability, confidentiality and processing integrity controls. Its scope includes the contracts, litigation, intellectual property and notice services; AWS controls and customer responsibilities are treated separately. KVQA issued ISO/IEC 27001:2022 certification for the SaaS activities through August 4, 2028, subject to successful surveillance. A separate ISO/IEC 27701:2019 processor certificate expires May 22, 2027. These are identifiable service organization assurances with scope and dates, rather than reliance solely on the cloud provider's certifications or an AI accuracy guarantee.
Onit's security material describes independent audits against SSAE-18 SOC 2 Type 2 and other security standards. It also describes encrypted transport, daily backups, restricted project access, managed virtual private clouds, hardened systems, monitoring and logged administrative activity. The data processing addendum adds contractual access, transfer and audit obligations. The trust center offers assurance reports on request. SimpleLegal's audit coverage period, auditor and system scope remain unspecified. Consequently, the corporate audit statement does not identify which SimpleReview components or AI providers were examined. Separate attestations for sibling products do not settle that question, and HIPAA wording alone does not establish a signed BAA.
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 AI architecture identifies AWS Bedrock and names Claude and Llama model families, including Opus 4.6, Haiku 4.5 and Llama 3 variants. It describes private AWS processing with Guardrails and no foundation model training on customer inputs or outputs. The newer Codex guide lists additional choices including Sonnet 5, Opus 4.7, GPT-4o-mini and GPT 5.1, but does not reconcile those choices with the earlier provider and regional description. A buyer can identify several offered models, while the exact processing route for each remains unclear. No customer notice commitment explains model substitutions, version retirement or changes to the provider chain.
The subprocessor register names OpenAI as an all-platform provider for natural-language or code generation. Its SimpleLegal section names AWS PDF processing, Affinda for PDF conversion and Maven AGI for support questions, alongside hosting and authentication services. SimpleReview itself is described as machine learning and natural language processing for invoice context, without model versions or a precise assignment of each provider to that feature. Google Gemini is identified for Spend Agent and Unity in separate sections, so that disclosure does not prove it powers every SimpleReview deployment. Onit can replace or deprecate AI models without materially reducing core functionality. Subprocessor objection rights do not amount to advance notice of every model-version change.
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.
Legistify sells a configurable legal operations suite covering contracts, litigation, notices and intellectual property, with a demonstration and individual quotation. No starting subscription amount, standard seat charge or included AI consumption allowance is stated. The deployment options indicate that additional infrastructure can be priced separately, but do not attach amounts to dedicated components or customer managed storage. The service terms also discuss expert consultation payments and refunds, which do not establish the cost or cancellation rights of the enterprise software. Implementation charges, model usage limits, renewal increases and the commercial effect of expanding to another module require an agreed proposal.
The core SimpleLegal subscription requires an order and quoted scope. Product terms include 1 TB across production, development and test environments unless the order differs, with additional storage charged at $600 per month per TB. A separate Legal Vendor Billing arrangement may charge submitting firms annually according to invoice submissions, using prior activity and an estimate for a new connection. The customer subscription can change if those vendor fees are unpaid or spending falls below expectations. Implementation follows a statement of work, with reimbursable expenses. Default annual renewals require 45 days' notice; AI fair-use enforcement can add overages after warning. Core user prices, standard implementation amounts and SimpleReview allowances remain unspecified.
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.
The suite serves corporate legal departments managing contracts, Indian litigation portfolios, intellectual property and incoming notices, with workflows also involving finance, sales and human resources. Case tracking covers Indian district courts, high courts and the Supreme Court, while signing includes local electronic signature options. Codex connects to the different modules and supports drafting, matter analysis and scheduled monitoring from selected material. Named customer examples span retail, consumer products and manufacturing. The service does not set clear organization size limits or provide a task by task language and jurisdiction matrix for AI output. Court tracking coverage should not be treated as universal legal research coverage.
SimpleLegal serves corporate legal departments that need electronic billing, matter management, vendor coordination and reporting in one system. Intake templates, tasks, practice-area assignments, budgets, accruals and cost allocations support department administration across internal and external matters. Finance teams receive approved invoices and payment information, while firms use the vendor portal to submit bills and collaborate. The product supports more than 170 currencies and describes a customer base exceeding 550 corporate legal departments. Onit distinguishes this offering from its more configurable OnitX enterprise platform and provides a migration path to Unity. Supported practice workflows are administrative and financial; detailed jurisdiction, language and organization-size boundaries are not specified, and legal research is not its stated function.
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?
Legistify's AI guidance prohibits using customer prompts, uploaded files or generated outputs to train, fine tune or improve foundation models. It describes Bedrock processing for the requested task within Legistify's AWS account. The service terms separately protect account documents and allow their use to deliver services, while public postings receive a broader license. The training restriction is a policy statement rather than an express AI clause in those terms. Newer Codex model options still need a matching explanation of the provider path and applicable commitments.
SimpleReview's product terms expressly allow customer data to support analysis, AI engine and model training, benchmarking, and improvement of offerings. Results shared externally generally must be anonymized, aggregated or not recoverable, but the benchmarking exception includes timekeeper names, classifications, firm names, rates, matter types and other law-firm data. The general agreement also permits aggregated and anonymized product improvement.
Its narrower restriction on third-party models training for others does not erase the SimpleReview permission. A standard customer opt-out from that specific training right is not stated.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
Bedrock is described as retaining no prompts or outputs after inference, but Codex automatically saves every conversation in the workspace. Customer data may remain for up to seven years for legal or tax requirements; deletion can be requested, with completion timing supplied individually. User activity logs remain over a year and technical logs typically fifteen days. Monthly database backups remain twelve months. The older service terms also describe indefinite storage of supplied information. These different layers prevent a single zero retention claim for the product.
Customer records remain in the service for the subscription, followed by a 30-day export period after termination. Deletion then follows Onit's current retention policy, without a fixed deadline covering all copies. Backup, legal and reasonable internal recordkeeping exceptions remain. The data processing addendum provides return or destruction on written instruction, subject to legal exceptions. AI terms say Onit need not retain or recreate output unless the feature expressly supports retention and it is enabled. That is not a promise that prompts, outputs, derived training data or provider logs are immediately purged.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
Litigation administrators assign Admin, Legal, Business or Lawyer roles, then toggle the access rights available to each role. Case follower mapping can add a user to every case or limit assignment to selected cases through individual or bulk mapping. Permission management itself is restricted to administrators unless delegated. These are Legistify controls rather than inherited permissions from an outside document management system.
Codex lets users select cases and project context, but formal conflict screening and automatic ethical wall enforcement across every AI connector are not specified.
The API returns only matters and invoices accessible to the authenticated API user. Its log interface distinguishes administrator, finance, power-user and filtered roles, while matter configuration includes an assigned lead and approval responsibility. An IPfolio availability flag controls whether an installed connection can access a particular matter. These are SimpleLegal's own access and sharing controls, requiring administration within the platform.
They do not establish inheritance of an external document system's ethical walls or explain whether every SimpleReview training and inference context follows the same matter restrictions.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
The privacy policy permits disclosure for legal requirements, court orders, government inquiries and specified protective purposes. It also describes cooperation with verified law enforcement requests and circumstances in which disclosure can occur without a subpoena. The service terms similarly permit disclosure of account information and content for compliance, enforcement and protection of rights. Neither supplies a general promise to notify the enterprise customer before its material is produced. Security incident communication obligations address breaches and do not create notice rights for compelled disclosure.
The services agreement requires reasonable advance notice of legally compelled disclosure when the law allows it, together with cooperation at the customer's expense to obtain confidential treatment. Disclosed material remains confidential between the parties. The data processing addendum adds prompt notice of governmental or third-party requests for personal data unless notification is prohibited. These contractual obligations are more specific than the privacy policy's discretionary notice wording.
No regular transparency report establishes actual request volumes, contested demands or the frequency with which notice has been legally barred.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
Legistify tracks Indian court matters and provides case details, orders and hearings through its litigation service. Its coverage describes district courts, high courts and the Supreme Court, and API examples identify individual Indian courts. Monitor can return linked findings about legal developments, while Codex also uses uploaded case materials and optional web results. A consolidated inventory of legal source collections, publication rights, update schedules and licensing terms is not provided. Access to court information therefore does not establish a licensed research corpus for every AI response.
SimpleReview works with legal billing narratives and historical invoice information, rather than a stated primary-law research collection. Its contextual analysis distinguishes similar words used for different billing tasks, and its terms authorize customer-data use for training and benchmarking. Those terms establish a use permission for supplied business records, not provenance or licensing of cases, statutes or commentary.
No jurisdiction-by-jurisdiction primary-law inventory, publisher license or legal-source update cadence is specified. The presence of matter and practice-area fields does not make the platform a case-law database.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
Monitor provides source links and explanations for detected legal developments, and the litigation service tracks hearing dates, orders and case status. Neither function is specified as a precedent treatment service that determines whether a judgment has been overruled, distinguished or limited. Codex's review instructions retain human judgment but do not supply a licensed citator or an integrated good law verification step.
A current case status and an accessible court order answer different questions from the continuing legal authority of a proposition used in a draft.
SimpleLegal evaluates invoices, timekeepers, spending and matter administration. Its review can identify billing issues and compare entries with configured rules, while the API exposes financial records and their approval state. None of these functions determines whether a cited judicial decision has been reversed or negatively treated. No citator connection, authority-status indicator or automated subsequent-history procedure is specified for SimpleReview.
Users managing a litigation matter still need a separate legal-research process to establish the current status of an authority used in legal advice or a filing.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
Bedrock Guardrails support a block mode that stops requests containing sensitive information and a masking mode that replaces personal information before processing. The controls apply to input and output, with versioned configurations. Monitor findings also display a confidence indication, such as Medium, alongside relevance reasoning and linked sources. These are described mechanisms, but no repeatable legal task demonstration or error calibration is supplied.
The block condition concerns protected input and safety categories; it is not a general promise to abstain whenever a legal answer lacks adequate support.
SimpleReview flags invoice lines for a human decision and uses context to reduce errors caused by fixed keywords. Its product terms disclaim performance guarantees, and the general AI terms warn about incomplete, biased or hallucinated output. These warnings do not describe a runtime refusal, confidence threshold or unsupported-answer route for the invoice model. The Counsel Exchange support assistant is restricted to how-to help and cannot answer questions about client data, but that separate support boundary does not establish abstention behavior for SimpleReview's billing judgments.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
No entry naming Legistify or LegisAI as the tool responsible for fabricated legal authority was identified in the AI Hallucination Cases database as of October 16, 2026. This result does not measure the accuracy of Codex drafts or establish that its court summaries are free of error. The service's work includes internal contract and matter analysis that may never become a reported citation dispute. Users still need to inspect original authorities and proposed revisions before relying on generated material in professional work.
No case naming SimpleLegal or SimpleReview as the source of fabricated legal citations was identified in the reviewed court-decision collection. The product's main AI workflow concerns invoice narratives and financial review rather than drafting briefs or retrieving authorities. That context limits what a citation incident would test, but does not establish that the model cannot produce unsupported conclusions. Onit's contract expressly recognizes hallucination and inaccuracy risks. A case attributed only to an unnamed AI tool cannot reliably be assigned to this product.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
The general terms refer to lawyers' professional standards and discuss the qualifications and conduct of experts using the marketplace. Legistify also states that it is not a law firm and requires review of AI assisted work. These are broad professional boundaries, not a mapping of particular product controls to a named bar opinion or a jurisdiction's rules on confidentiality, competence and candor. The enterprise user must separately determine how local professional obligations apply to selected models, client information and any generated material used externally.
Onit's legal-operations community discusses verification as a professional duty, candor to courts and the risks of ungoverned AI use. Its August 2026 roundup also references cautions about agentic systems from Britain's Bar Standards Board. This is general professional-responsibility commentary, not a SimpleReview control mapping to a named ethics opinion. The customer contract separately requires review of output and disclaims legal advice.
No product-specific treatment links training permissions, client consent, billing review and supervisory procedures to the requirements of particular bar opinions across jurisdictions.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
Legistify's enterprise suite supports an organization's internal legal operations, including case budgets, external counsel activity, contracts and notice handling. Efficiency claims concern that department's workload rather than adjusting time charged by its lawyers to clients. The older marketplace terms describe payments for expert consultations, but those payment provisions do not establish AI time accounting in Codex.
No mechanism allocates saved drafting time to a law firm's invoice or prepares a client disclosure about charging for AI assisted work.
SimpleLegal's core workflow is the corporate buyer's legal fee record: invoice intake, timekeeper rates, billing rules, line adjustments, approvals, allocations and payment tracking. SimpleReview evaluates narratives for billing issues, while configured workflows can reject or adjust entries under the department's rules. Approvers inspect the underlying charges and can add colleagues to the review. The fee record captures the buyer's review of billed services and payment decisions.
It does not automatically identify whether outside counsel used generative AI to produce the work described in each charge.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
The open help center provides AI architecture explanations, security and privacy policies, access management procedures, deployment options and downloadable audit and certification materials. These supply information about the service's controls and processing that a legal team can use in client diligence. They do not form a complete outside counsel guideline compliance workflow or identify every processor for all current Codex models.
Model routing differences, deletion timing and the exact enterprise contractual terms still require clarification for a client's particular restrictions.
Onit's public register identifies SimpleLegal-specific subprocessors, the all-platform OpenAI service, service purposes and countries. The customer agreement and data processing addendum provide confidentiality, request-notice, objection and processing provisions, while SimpleReview's terms expose its training and benchmarking permissions. These materials support review of the service's data handling before a firm submits invoice narratives.
A dedicated client-consent package or completed mapping to an outside counsel AI clause is not supplied. Enforcement of the buyer's billing guidelines is a separate product function and does not itself establish compliance with that buyer's AI restrictions.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
Codex saves conversations and retains artifact versions that users can compare, restore and download. Redline explains proposed changes and preserves Word's tracked revisions, while Monitor retains dated findings with source links and confidence indications. These features can help reconstruct portions of AI assisted work. They do not establish a complete export tying every answer to its exact model version, full source context and the approving lawyer.
A court specific declaration, certification template or automatic record of independent authority verification is not described.
The API exposes invoice detail and summary PDFs, approver status and account logs that can be filtered by user, time, object and actions such as adjustment, approval, rejection and export. These records preserve parts of the underlying source and human review history for financial work. They do not provide a per-output certificate naming the model version, retrieved material and human verification of each AI conclusion.
SimpleLegal's normal workflow is department administration, so a court disclosure concerning later use in legal work would still require additional information beyond its invoice and activity records.
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
Which one fits
Choose Legistify if
- Legal work extends beyond spending into contracts and disputes. Legistify connects those records with intellectual property and notices in the same suite.
- Users need editable work products from selected legal material. Codex can prepare Word, presentation and spreadsheet artifacts with versions available for review.
- A team needs recurring issue monitoring. Legistify's Monitor supplies scheduled runs, source links and output settings for ongoing research.
Choose SimpleLegal if
- The immediate problem is invoice administration. SimpleLegal manages submission, timekeepers, allocations, approval routes, accruals and payment tracking around the bill.
- Finance needs records to move in both directions. The API can retrieve approved invoices for accounts payable and create payment information back in SimpleLegal.
- Reviewers want AI assistance with billing narratives. SimpleReview adds contextual interpretation to the department's fixed billing rules while leaving flagged line decisions with people.
In summary
Legistify
Legistify's legal workspace combines selected agreements, cases and files with custom instructions. For corporate lawyers preparing proposed revisions to existing contract language, the AI Legal Index notes that Redline preserves Word tracked changes and explains the proposed edits. The same suite also handles litigation, intellectual property and notices.
SimpleLegal
SimpleLegal centers on department matters and legal spending. SimpleReview adds contextual analysis of invoice lines, while separate configured rules manage routing and adjustments. Finance integrations exchange matters, vendors, approved invoices and payment data, and the current Counsel Exchange transition carries forward the older CounselGO portal's history.
Questions buyers ask
How do their integration priorities differ?
Legistify's litigation API and webhooks exchange case activity and discoveries. For teams connecting legal bills with finance's payment process, the AI Legal Index points to SimpleLegal's approved invoice export and payment update functions. Those connections solve a different problem from tracking court case updates.
Is SimpleLegal now the same product as Unity?
Onit still identifies SimpleLegal separately and provides a customer transition path to Unity. Unity specific assistants and agents should not be assumed to be included in every SimpleLegal deployment. Counsel Exchange is the current vendor portal destination, replacing CounselGO while preserving historical records. From the AI Legal Index, based on each vendor's own published materials as of October 16, 2026. No vendor pays for placement.
What happens to data used by the AI?
SimpleReview's contract expressly permits customer data use for AI training and benchmarking, including a specific exception for certain law firm and timekeeper data. Legistify's Bedrock architecture states a no training policy for customer material, but newer Codex routes remain incompletely reconciled. These are materially different descriptions of the covered data uses. From the AI Legal Index, based on each vendor's own published materials as of October 16, 2026. No vendor pays for placement.
How much does the standard SimpleLegal subscription cost?
The core subscription needs a quote. Its terms specify 1 TB across the stated environments and $600 per month per additional TB, with possible separate annual vendor portal fees. Those amounts and fee structures do not establish the base license price. Legistify likewise prices its selected modules and infrastructure through a proposal. From the AI Legal Index, based on each vendor's own published materials as of October 16, 2026. No vendor pays for placement.
Neither vendor paid for inclusion, placement or a grade, and neither reviewed this page before it published. Everything on it comes from public material on the dates shown. How the index grades.
This comparison covers SimpleLegal and SimpleReview, with Unity features kept within their separate upgrade scope. Neither vendor reviewed this page.