Provakil vs SimpleLegal: how they compare in 2026

P
Provakil profile
S
SimpleLegal profile
Last verifiedOctober 16, 2026

A department standardizing billing and matter administration gets a different workflow from a team coordinating hearings and recovery notices. SimpleLegal connects invoices, budgets, accruals and vendor information to matter records and reporting. Provakil adds court feeds, order summaries, translations and legal collections to its departmental workspace. The AI Legal Index identifies SimpleLegal's support for more than 170 currencies as a concrete distinction for multi currency operations. Its interfaces also link legal financial records with accounts payable and ERP systems. The AI Legal Index identifies Provakil's stage based counsel payments as a way to tie expenses to litigation progress. Both organize work, people and costs, with contract and recovery functions broadening Provakil's scope. SimpleLegal centers invoice administration and vendor oversight; Provakil combines those operational concerns with case preparation and court activity.

At a glance

Category
ProvakilLegal Ops & Spend
SimpleLegalLegal Ops & Spend
Founded
ProvakilNot published
SimpleLegal2013
Headquarters
ProvakilPune, India
SimpleLegalMountain View, California, United States
Last verified
ProvakilOct 16, 2026
SimpleLegalOct 16, 2026

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.

Provakil
BB on AI CentralityThe models are the engine of a core capability, layered on a product that would still function without them as a document or workflow system.

AI summarizes court orders and petitions, translates regional language material and produces case progress reviews inside the litigation workspace. An in case chatbot answers from the orders, hearing history and files linked to that matter. Contract Intelligence extracts more than 30 metadata fields, identifies obligations and proposes clause rewrites against company playbooks. Teams use those results in contract review and case preparation while continuing to manage assignments and approvals in the surrounding software. The underlying case repository, notice delivery, billing controls and approval routing would still operate without generative models. Borrower segmentation and bulk notice templates also use configurable rules.

SimpleLegal
BB on AI CentralityThe models are the engine of a core capability, layered on a product that would still function without them as a document or workflow system.

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.

Provakil
CC on Citation Accuracy and Hallucination DisclosureAccuracy is asserted without measurement, or grounding is claimed while output cites sources the reader cannot open and verify.

Court summaries draw on orders and petitions held in the case workspace, and the matter chatbot uses the linked case history rather than an unrestricted knowledge base. Provakil reports 99.5% accuracy for court tracking, without a test set, measurement period or error breakdown. That operational figure does not measure generated summaries, translations or clause rewrites. Contract Intelligence similarly claims accurate extraction from millions of contract data points without reporting evaluated results. The service agreement warns that third party public information may be inaccurate and tells users to consult independent sources. A demonstrated citation link, retrieval evaluation and unsupported answer path are not provided.

SimpleLegal
CC on Citation Accuracy and Hallucination DisclosureAccuracy is asserted without measurement, or grounding is claimed while output cites sources the reader cannot open and verify.

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.

Provakil
BB on Autonomy and Oversight ModelA written commitment that the models work alongside a supervising lawyer, with real review surfaces, short of the full control structure: commonly the threshold at which the system stops or what happens after it is wrong.

Lawyers review contract changes in a collaborative editor with version history and clause playbooks. Approval workflows route agreements according to contract type, value, risk and business rules. Litigation workspaces separately assign tasks and collect counsel updates. AI redlines and risk flags remain traceable, with human oversight throughout the workflow. Provakil's legal operations guidance treats model output as draft material requiring verification, and the subscriber agreement requires independent checks of public information. The product does not specify a model confidence boundary that blocks an answer, a mandatory approval before every generated communication, or a recovery procedure after an incorrect recommendation.

SimpleLegal
BB on Autonomy and Oversight ModelA written commitment that the models work alongside a supervising lawyer, with real review surfaces, short of the full control structure: commonly the threshold at which the system stops or what happens after it is wrong.

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.

Provakil
BB on Operational and Outcome EvidenceReal deployment evidence with substance, short of full attribution or measurement: a named customer without figures, or figures without the named customer.

Asian Paints tracks more than 2,500 cases in Provakil, and Bajaj Finserv automates 550,000 notices each month. The contract management business names Domino's with more than 10,000 digitized contracts. CorpLit Consultants reports saving more than 40 hours of administrative work per week across its docket. Government and public sector users named by Provakil include IOCL, the Government of Tamil Nadu and the Election Commission of India. These customers use different parts of the software, from litigation tracking to notice delivery and contract storage. No dated evaluation ties the volume figures to an AI accuracy result, a comparison baseline or a specified measurement method.

SimpleLegal
BB on Operational and Outcome EvidenceReal deployment evidence with substance, short of full attribution or measurement: a named customer without figures, or figures without the named customer.

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.

Provakil
BB on Privilege and Confidentiality PostureSubstantive published commitments on confidentiality and training use, short of the full picture: commonly silence on segregation between users or matters, or on what the underlying model provider may retain.

The case management AI statement says client files and case records do not train underlying models and remain within the firm's workspace. The EULA limits access and use to providing or maintaining the service, improving the user's experience and legal compliance, but does not expressly prohibit training. It also covers vocational information such as cases, tasks and attached material. Restricted counsel access and role permissions limit who can reach a case, while public guidance discusses privilege and ethical walls. The model processors, their retention terms and a technical explanation of matter isolation during retrieval remain unspecified. The explicit training promise is a policy commitment.

SimpleLegal
BB on Privilege and Confidentiality PostureSubstantive published commitments on confidentiality and training use, short of the full picture: commonly silence on segregation between users or matters, or on what the underlying model provider may retain.

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.

Provakil
BB on UPL and Professional Responsibility PostureA real position is published on advice versus tooling, short of full treatment: commonly a disclaimer without the supervision and competence dimension, or silence on jurisdiction limits.

Provakil presents AI as assistance within legal operations and contract review, with lawyers responsible for checking generated material. Its legal operations guide engages ABA Formal Opinion 512 and keeps the verification duty with the person signing a filing. The EULA cautions subscribers to corroborate public information independently before relying on it. Case summaries and translations support preparation while practitioners still decide how to use the result. The services are available for lawful professional and educational purposes. An authorized user boundary for each AI feature, and jurisdiction specific supervision requirements across India, the Gulf and Southeast Asia, are not specified.

SimpleLegal
BB on UPL and Professional Responsibility PostureA real position is published on advice versus tooling, short of full treatment: commonly a disclaimer without the supervision and competence dimension, or silence on jurisdiction limits.

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.

Provakil
CC on AI Governance and Bias DisclosureResponsible AI principles are published without a mechanism, a testing regime, or anything a buyer could audit.

Contract Intelligence follows stated principles of accountability, explainability and human review. Redlines and risk flags are traceable, and user defined playbooks shape clause analysis. Provakil says models are regularly validated and fine tuned, without specifying the testing method or results. Its October 16 governance guide concerns the customer's own program: recording AI suppliers, tracking complaints as matters and preparing board reports from spend and task data. It does not identify the person responsible for Provakil's models or their release criteria. Testing frequency, failure thresholds and findings about uneven results across languages or contract types remain unspecified.

SimpleLegal
CC on AI Governance and Bias DisclosureResponsible AI principles are published without a mechanism, a testing regime, or anything a buyer could audit.

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.

Provakil
CC on AI Safety and Data StewardshipA generic privacy policy covers the product without addressing what happens to documents and prompts after processing.

The EULA limits access to service delivery, improvement of the user's experience and legal requirements. It also limits the data a subscriber can receive after service ends to specified case identifiers. Product controls include encrypted storage, role permissions, restricted outside counsel access and activity trails. A case repository holds petitions, orders and other uploaded material, while AI produces summaries and contract analysis within those workflows. No application deletion deadline, backup expiration, model processor list or incident notification procedure is stated. The separate privacy policy covers website visitors and correspondence, without setting a retention period for client matter content or AI conversations.

SimpleLegal
BB on AI Safety and Data StewardshipSubstantive published policy covering most of the ground, short of the full set: commonly no named subprocessor list or no stated incident practice.

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.

Provakil
CC on AI Liability and RecourseLiability is addressed only through a standard limitation clause that disclaims the exposure the product creates.

Provakil's subscriber EULA provides the service as is, disclaims accuracy and other warranties, and excludes indirect, special, incidental and consequential losses. It expressly places reliance on third party public information with the subscriber and asks that discrepancies be reported. The indemnity runs from the subscriber to Provakil for misuse, overuse or contractual breach. No reciprocal vendor indemnity, AI output warranty, stated insurance protection or defined remedy for an incorrect summary is included. Subscription fees are described as nonrefundable, while a separate cancellation page invites requests about remaining monthly or annual periods. Neither page promises compensation for a legal error.

SimpleLegal
BB on AI Liability and RecourseA real published position on liability, short of the full picture: commonly a stated indemnity without scope or caps.

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.

Provakil
BB on Practice Systems Integration DepthReal integrations exist and are documented, short of depth: named connections without a description of what they actually move.

Microsoft 365 supports contract editing in Word, while calendar connections send hearing dates, deadlines and reminders to Google Calendar, Outlook and iOS calendars. Provakil also connects to SAP, Oracle and Salesforce in the enterprise workflow. Legal collections accepts borrower data from banking and debt systems, and the litigation service uses secure APIs and configurable connectors for enterprise repositories. Signing and stamping integrations complete the contract process, and identity connections support user access. The customer configures workflows during onboarding and can migrate historical files. Field mappings, synchronization directions and a public configuration procedure for each enterprise connection are not specified.

SimpleLegal
AA on Practice Systems Integration DepthDocumented, verifiable integrations into the systems legal work already lives in, with the depth described: what syncs, in which direction, and what a firm must configure.

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.

Provakil
BB on Deployment Model and Data ResidencyDeployment model is stated clearly with partial residency detail, or residency is offered without the processing location being addressed, or the tenancy model is stated on its own with no residency detail published.

Enterprise deployments can run in the cloud or on the customer's own servers. Contract management names AWS and Google Cloud as hosting providers and offers local storage and processing in India, the UAE, Saudi Arabia and Malaysia. The collections product also expressly supports on premises deployment for regulated institutions. They do not identify which AI provider executes each summary or redline, whether its processing always remains in the selected country, or where backups and support access occur. No public plan matrix maps deployment choices, isolation arrangements and regional availability to a subscription tier.

SimpleLegal
BB on Deployment Model and Data ResidencyDeployment model is stated clearly with partial residency detail, or residency is offered without the processing location being addressed, or the tenancy model is stated on its own with no residency detail published.

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.

Provakil
BB on Security Certifications and Trust CenterCertification is real and stated, short of accessible evidence: a named standard without scope, date, or a way to obtain the report.

Contract Intelligence is described as ISO 27001 and SOC 2 Type II certified, and the broader contract product also names ISO 9001:2015. The litigation FAQ describes SOC 2 aligned controls alongside ISO 27001 and GDPR principles. The AI product page adds regular third party audits, role permissions and data isolation. An auditor, current certificate period, covered entity schedule and SOC examination period are not supplied with these claims. The navigation includes an AI Trust Center label without a reachable collection of reports. The available material therefore leaves the certification scope and period for each product unresolved.

SimpleLegal
BB on Security Certifications and Trust CenterCertification is real and stated, short of accessible evidence: a named standard without scope, date, or a way to obtain the report.

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.

Provakil
CC on Model Supply Chain DisclosureThe vendor refers to advanced or proprietary models without identifying what sits underneath.

The AI explanation identifies large language models operating over court feeds, matter repositories and contract content. Contract Intelligence adds supervised learning and company playbooks to clause recognition and extraction, while the in case chatbot limits its subject matter to the associated case record. These descriptions explain the intended source material but do not name the model families, model providers or hosting route for inference. AWS and Google Cloud are named for application hosting without being assigned particular AI workloads. A promise not to train on case content likewise leaves provider retention unspecified. No model substitution notice, version history or customer model selection is described.

SimpleLegal
BB on Model Supply Chain DisclosureThe supply chain is partly disclosed: providers named without change notification, or architecture described without the providers.

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.

Provakil
CC on Commercial TransparencyPricing is gated behind a demo request while tier names and feature splits are published, so the shape is visible and the number is not.

Provakil sells access through subscriptions and directs pricing inquiries to its sales team. The cancellation policy distinguishes monthly and annual subscriptions, while the EULA refers to a separate schedule of plans and rates. Case Management serves individual advocates, and Practice Management adds client handling, billing, team work and dashboards. Enterprise deployments combine selected litigation, contract and collections functions. No recurring price, per user or per matter unit, minimum commitment or implementation charge accompanies these options. The EULA permits additional fees for features introduced after a subscription begins. It treats subscription fees as nonrefundable, while the cancellation policy invites requests about unused periods.

SimpleLegal
BB on Commercial TransparencyReal pricing is published for part of the range, with enterprise tiers withheld, or the unit and structure are stated without the figure.

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.

Provakil
BB on Firm and Practice CoverageSegment and practice coverage is described with substance, short of the boundaries: what is supported is clear, what is not is left open.

Corporate legal departments use Provakil for litigation, outside counsel oversight, contracts and intellectual property, while banks and nonbank lenders have dedicated legal recovery workflows. Indian court connectivity spans the Supreme Court, High Courts, district courts and specialist tribunals. Practice and Case Management editions also serve law firms and individual advocates. The vendor names government and public sector deployments and offers enterprise hosting across India, the Gulf and Southeast Asia. Localized notices and signing support serve regional workflows. Coverage does not establish every country's litigation connectivity or professional requirements, and an exhaustive list of unsupported jurisdictions and deployment sizes is not provided.

SimpleLegal
BB on Firm and Practice CoverageSegment and practice coverage is described with substance, short of the boundaries: what is supported is clear, what is not is left open.

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?

Provakil
Never, in policy only

The case management AI policy says client files and case records do not train underlying models, and account data stays within the firm's workspace. The EULA permits use to provide or maintain the service, improve the user's experience and comply with legal requirements. It contains no express training prohibition. Contract Intelligence also learns from millions of contract data points, whose origin is not identified.

Its supervised learning and playbooks support extraction and clause analysis without specifying whether subscriber contracts enter a shared training set.

SimpleLegal
Permitted, in the contract

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?

Provakil
Not addressed

Case repositories retain uploaded files, hearing history and contract material used by the AI features. Ending a subscription removes the subscriber's access to the service. The EULA limits the subscriber's data return entitlement to forums, case types, case numbers, years and file numbers entered into the account. No duration is stated for prompts, generated summaries, contract analysis or backup copies. Website visitor information and correspondence have separate retention language. A customer setting for AI history or zero retention is not described.

SimpleLegal
Disclosed without a period

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?

Provakil
Claimed, not documented

An in case chatbot works from the files, orders, hearing records and history attached to that matter. Account data stays in the firm's workspace, and external counsel receive restricted access to submit updates without entering the entire system. Case owners can share files and tasks with internal stakeholders through role permissions. The technical rules for enforcing matter permissions when the model retrieves content, including how access changes affect indexed material, are not specified. The platform does not describe inheriting an external document system's permissions.

SimpleLegal
Own model, documented

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?

Provakil
Disclosure addressed, notice absent

Section 17.2 of the subscriber agreement allows use of vocational information to comply with law or a binding government order. The following sentence says information will not be disclosed to a government or third party, without reconciling those provisions. The agreement contains no customer notice commitment for a compulsory demand. A separate website privacy policy allows disclosure when law mandates it. No request transparency report or procedure for notifying a subscriber after a legal prohibition ends accompanies the service terms.

SimpleLegal
Notice committed

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?

Provakil
Sources named, basis unstated

Court tracking receives causelists, orders and status updates from the Supreme Court of India, High Courts, district courts and tribunals such as NCLT, NCLAT and DRT. IP India supplies registry information for intellectual property tracking. The EULA describes aggregation from multiple public sources and reserves rights in Provakil's aggregation. A license or public domain basis for each underlying source is not stated.

Uploaded contracts and case files provide additional material for summaries and analysis within the customer's own workspace.

SimpleLegal
Not addressed

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?

Provakil
Own treatment signal

The intellectual property workspace shows timestamped histories for filings, renewals, oppositions and ownership changes. IP India integration supplies registry updates, while expiry and renewal alerts help users follow changes affecting registered assets. This status history concerns patents and trademarks. The litigation workspace separately follows hearings and case progress, without checking how later decisions treat a cited judgment.

Public information remains subject to the EULA's independent verification requirement. No commercial case law citator or registry update service level is named.

SimpleLegal
Not addressed

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?

Provakil
Not addressed

Contract Intelligence assigns severity and risk scores to clauses and obligations, while litigation AI summarizes case progress and next actions. Contract scores concern legal or commercial exposure, rather than confidence in the model's answer. Playbooks guide proposed wording, and approval workflows give people a review stage. No explicit abstention message or unsupported answer path is described for the case chatbot, translation or contract analysis.

The stated 99.5% court tracking accuracy concerns operational updates, without measuring model confidence or the reliability of generated recommendations.

SimpleLegal
Not addressed

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?

Provakil
None located

The AI Hallucination Cases database maintained by Damien Charlotin has no entry naming Provakil or PVKL in connection with fabricated legal citations. The product summarizes orders and petitions, translates court material and answers questions from a matter's files and history. Contract Intelligence also extracts fields and suggests clause changes. Its subscriber agreement requires users to check public information independently before relying on it, and its legal operations guidance keeps verification responsibility with the lawyer.

SimpleLegal
None located

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?

Provakil
Named guidance addressed

Provakil's legal operations guide names ABA Formal Opinion 512 when discussing confidentiality, privilege and verification of generated work. It places the verification duty with the person signing a filing and treats model output as draft material. The guide describes role permissions, ethical walls, data residency and audit trails in the legal workspace. It does not map individual product features to professional conduct requirements across multiple jurisdictions. The separate EULA also requires subscribers to corroborate public information independently before relying on it.

SimpleLegal
Generic reference

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?

Provakil
Fee record is the product

Enterprise legal departments track outside counsel budgets, court fees and invoices in Provakil. Stage based billing ties payments to litigation phases, and approval workflows control disbursements. The collections edition similarly lets lenders monitor advocate costs alongside recovery activity. Practice Management also supports law firms' own billing and advertises administrative time savings. No per task record connects those firms' AI use to time actually worked, and no guidance explains how saved time or software charges should appear on their clients' bills.

SimpleLegal
Fee record is the product

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?

Provakil
Not addressed

Application hosting uses AWS and Google Cloud, with regional deployment choices and role based access. The case AI policy prohibits training on client files, and the subscriber agreement restricts the purposes for which vocational information can be used. Neither identifies the models or processors receiving content during inference. A current subprocessor register, model change procedure and client consent or notification pack are not available. The publicly named infrastructure providers do not give a complete account of the AI processing chain.

SimpleLegal
Subprocessors listed

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?

Provakil
Partial record

AI assisted output is logged in audit trails and limited to authorized users. Contract Intelligence retains traceable redlines and risk flags, and litigation records keep the court orders and uploaded files behind case work. These features let a team revisit activity alongside source material. No per file export combines the model version, retrieved sources and human verification, and no court disclosure form is generated from the recorded events. The model identity itself is also unspecified in the product material.

SimpleLegal
Partial record

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.

What neither one publishes

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.

Signals neither addresses in public material
  • Refusal and Uncertainty Behavior

Which one fits

Choose Provakil if

  • Lawyers need AI summaries and translations alongside Indian court status updates.
  • Counsel fees should follow litigation stages within the case workspace.
  • Legal collections requires notice generation, delivery tracking and recovery administration.

Choose SimpleLegal if

  • The department needs invoice, budget and accrual administration across many currencies.
  • Vendor performance reporting should use the same matter and financial records.
  • Accounts payable and ERP connections are central to legal operations.

In summary

Provakil

Provakil joins litigation updates and counsel expenses to AI summaries and translations. Contract analysis works against playbooks, while collections handles lender notices and legal stages. Teams can maintain case files and coordinate restricted outside counsel access.

Source: AI Legal Index, 2026

SimpleLegal

SimpleLegal provides electronic billing, matter tracking, vendor management and dashboards. Configurable workflows standardize intake and approval. Finance connections use APIs, connectors or file exchanges to carry legal cost information into related systems.

Source: AI Legal Index, 2026

Questions buyers ask

How do finance connections support SimpleLegal?

They link legal cost records with accounts payable and ERP tools through APIs, connectors or flat files. That supports invoice processing and reduces separate financial data entry. From the AI Legal Index, based on each vendor's own published materials as of October 16, 2026. No vendor pays for placement.

Does Provakil also support invoice approvals?

Yes. Its legal spend workflow includes approvals and stage based billing. Those controls sit beside litigation activity and counsel updates rather than defining its whole product scope. From the AI Legal Index, based on each vendor's own published materials as of October 16, 2026. No vendor pays for placement.

Which product supports lender notices in this comparison?

Provakil describes dedicated legal collections with borrower segmentation, notice generation and delivery evidence. SimpleLegal's described workflow concentrates on the department's matters, vendors and spending. From the AI Legal Index, based on each vendor's own published materials as of October 16, 2026. No vendor pays for placement.

Disclosure

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.

SimpleLegal remains a distinct Onit product. Capabilities of OnitX or Unity are not treated as included merely because they share an owner.

Contact

Correct a record, or ask how something was graded

Every grade and every signal on this index is drawn from public sources and dated. If a record is wrong, out of date, or missing an artifact the index did not locate, send the source and it will be reviewed and the record redated. Vendors are welcome to submit documentation. Nothing on this index is for sale, including a listing, a placement, or a grade.

AI Legal Index

The AI Legal Index is an independent index that tracks changes to AI vendors in legal. It holds 462 vendors across 9 categories, each graded on the same 15 capability axes and recorded against 12 legal signals, from public sources. No vendor pays for inclusion, placement, or rating.

Index Status
Last index update
October 16, 2026
The AI Legal Index is an editorial reference. It is not a regulatory body, not a law firm, and nothing published here is legal advice or a recommendation to retain or avoid a vendor. Records are verified against published sources, bar guidance and public court records. Where a record reads not addressed, the material was not located in public sources on the date shown. See the Methodology page for evaluation standards and limitations.
© 2026 AI Legal Index
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