L
LegalSifter

LegalSifter's ReviewPro reviews and redlines contracts against organizational playbooks in Microsoft Word and Google Docs. Teams can use standard playbooks, build their own or pay for custom playbook architecture. The current product combines review with a contract assistant, playbook management, a versioned repository and intake ticketing, allowing legal teams to distribute approved negotiating positions to business colleagues.

Proposed edits carry explanations and remain available for human review. Managed redlining, data extraction and contract operations are separate services. A July 2026 study tested ReviewPro 2.0 on 30 NDAs against attorney approved edits, showing that more detailed playbook instructions improved issue detection and proposed changes. Annual subscriptions follow either contract volume with unlimited users or named seats with unlimited human initiated reviews.

Basic volume pricing starts at $2,750 for 50 annual reviews, including standard implementation. Seat subscriptions cover the customer's own contracts; legal services for external clients require an explicitly authorized consumption subscription. OpenAI and Anthropic are named model suppliers. The terms prohibit training their models on customer content but permit LegalSifter to train its own models with anonymized content. LegalSifter is based in Pittsburgh and also owns Contract Logix.

Compared with

LegalSifter, head to head

Side by side on the same 15 capability axes and 12 legal signals: where the two part company, and what neither one publishes.

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Capability grades

All 15 axes, graded from public sources on the date shown. Hover a grade to see what the letter means on that axis.

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 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.

ReviewPro uses models to interpret contract language, detect playbook issues, propose edits and answer questions through a contract assistant. The playbook provides the organization's positions and fallback instructions, so interpretation and generation are essential to the review service. The current product also includes a versioned contract repository, intake ticketing and controlled playbook management. Those organizational functions still have a use when an AI review is not running.

LegalSifter's human services can customize playbooks or handle redlining and extraction, while Contract Logix is a separate contract management offering within the company. The broader workflow now extends beyond the original automated review engine.

Source: Vendor Published
BB on Citation Accuracy and Hallucination DisclosureGrounding is real and documented, with linked primary sources and a described retrieval method, short of published accuracy figures an outsider can test.

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.

ReviewPro 2.0 evaluates clauses against a selected playbook and returns proposed edits with rationale for the reviewer. Its July 2026 study used 30 NDAs, 16 positions and three runs per agreement, comparing results with attorney approved edits. With the engine and agreements fixed, richer playbook instructions raised issue detection from 91% to 95%, selection of the right action from 77% to 93%, and edit fidelity from 55% to 93%.

These are distinct measures of contract review, not a general guarantee of legal accuracy. The benchmark does not cover citation treatment, an abstention threshold or performance across other agreement types.

Source: Vendor Published
AA on Autonomy and Oversight ModelWhat the system runs alone, what constrains it, and how a lawyer checks it are all published: modes, thresholds, review surfaces, and the route a matter takes back to human judgment. A categorical limit on a named mode or tier, stating what its output may not be used for, meets the threshold limb without a number.

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.

ReviewPro runs a first pass against the selected playbook and returns redlines and explanations in Word or Google Docs. The customer must vet standard or custom playbooks before using them, and reviewers remain responsible for checking and accepting the result. The terms impose an additional categorical boundary on Trial Features: they are solely for evaluation and testing, and cannot be used in production. Named seat plans also require interactive human use rather than unattended batch processing.

Routine business review can follow the legal team's approved standards, but the terms recommend legal counsel and leave responsibility for the final agreement with the customer.

Source: Vendor Published
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.

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.

A July 2026 study describes a field observation involving 15 complex agreements, where an unnamed legal team reached 90% alignment with its intended edits and reduced a roughly 90 minute review to about five minutes. That account is separate from the controlled 30 NDA benchmark used to test playbook instruction quality. The field result indicates a concrete workload and reported change, but gives neither the customer's name nor a detailed timing protocol.

The internal benchmark explains its agreements, positions and repeat runs; it does not turn the field observation into a reproducible customer deployment study across different contract portfolios.

Source: Vendor Published
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.

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 ReviewPro agreement treats customer contract content as confidential and expressly intends disclosure to preserve attorney client privilege and work product protection. Access by service providers is limited to those who need the information and owe confidentiality duties. Tenant records are isolated from other customers, with role and feature controls inside the service. Training third party AI models is prohibited, but the terms grant LegalSifter a perpetual right to train and improve its own models with anonymized customer content.

The security FAQ describes training as a choice made in the agreement. This default permission and the absence of a stated internal matter wall limit the confidentiality position.

Source: Vendor Published
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.

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.

LegalSifter identifies ReviewPro as software, disclaims legal advice and an attorney client relationship, and strongly encourages review by legal counsel. Customers must vet their playbooks and verify the resulting work. Business personnel can use standards approved by their legal team, while the agreement leaves legal decisions with the customer. Subscription scope also matters: named seat plans are restricted to internal contracts and matters, while legal services for external clients require express authorization under a consumption plan.

The product supports supervision through explained redlines and reusable standards, but does not set jurisdiction specific practice limits or determine whether a particular user may give advice.

Source: Vendor Published
BB on AI Governance and Bias DisclosureA published governance framework with real substance, short of testing results or a named owner.

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.

LegalSifter separates issue detection, selection of the appropriate action and edit fidelity when evaluating ReviewPro. Its July 2026 study holds the review engine and NDA set constant while varying the specificity of playbook instructions, with attorney approved edits as the comparison. It also compares releases and describes recurring assessment of thoroughness, accuracy and readability. These mechanisms connect product changes to defined review tasks rather than a general responsible AI promise.

The terms prohibit discriminatory consequential decisions and malicious attempts to manipulate models. LegalSifter names no accountable AI governance owner and gives no results on uneven behavior across populations or contract categories.

Source: Vendor Published
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.

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.

ReviewPro uses encrypted contract storage, AWS key management, role and feature controls, and tenant isolation at the record level. Auth0 supports SAML and OIDC single sign on, with the customer's identity provider enforcing multifactor policies. Contracts are deleted within 30 days after subscription termination, while no ordinary retention period is stated for the full prompt and output history. OpenAI and Anthropic are listed as model processors in the United States, and the terms prohibit their training on customer content.

Confirmed customer data or model integrity incidents trigger notice without undue delay, including incidents involving poisoning or model extraction. Retained anonymized material has separate contractual treatment.

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

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 ReviewPro terms provide a vendor defense and indemnity for specified claims against the authorized service, but expressly exclude AI output, reviewed contracts and customer playbooks from that protection. LegalSifter disclaims output accuracy and liability for decisions based on the service. The general liability cap is the fees paid during the preceding twelve months, with exceptions including indemnification obligations, gross misconduct and applicable legal duties.

Trial Features carry separate warranty and indemnity exclusions and cannot be used in production. These terms allocate platform infringement risk more specifically than a generic disclaimer, while leaving errors in an accepted redline and resulting legal decisions with the customer.

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

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.

ReviewPro runs as a Microsoft Word add in applying tracked redlines in the document, and as a Google Docs add in whose marketplace listing documents exactly what it does: reads the current document to extract contract text, creates a redlined copy in Drive, transmits content to LegalSifter's servers and stores nothing locally, with the Google permission scopes listed. The product page states connection to existing apps and CLM software without naming them beyond the company's own Contract Logix.

Source: Vendor Published
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.

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.

ReviewPro operates on AWS with multiple availability zones, encrypted storage and customer separation enforced at the record level. OpenAI and Anthropic appear in the model processor register with United States locations. The security description covers resilience, identity and tenant controls, but does not name an available application hosting region or a customer residency selector. A model provider's listed country is not a complete account of where every processing step takes place.

Contract Logix belongs to the same company but is a separate platform, so its Azure hosting arrangement has no bearing on ReviewPro's architecture or a deployment option for this review service.

Source: Vendor Published
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.

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.

LegalSifter states that ReviewPro's security controls undergo independent SOC 2 Type II auditing. Its security material describes AES 256 encryption, TLS 1.2 or later, and AWS key management using FIPS 140 2 Level 3 validated hardware. Staff background checks, security training, monitoring and identity controls accompany the attestation claim. The certification description does not identify an audit coverage period, named assessor or freely accessible report with a scope statement.

Encryption standards and a cloud provider's validated hardware support the operating controls but are separate from the scope of LegalSifter's own independent audit.

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

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 current processor register names OpenAI and Anthropic as large language model and API suppliers for ReviewPro, both in the United States. The security explanation discusses OpenAI's business terms, while the service agreement requires third party AI components not to train on customer content and to follow stated retention controls. LegalSifter separately reserves the right to develop and improve its own models from anonymized customer material.

LegalSifter gives no exact model versions, no mapping of review tasks to each provider and no commitment to notify customers of every model substitution. Earlier marketplace descriptions of provider choices do not fully describe this current supplier list.

Source: Vendor Published
AA on Commercial TransparencyA buyer can learn what this costs without entering a sales process: published rates, the unit being charged, and what implementation adds.

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.

ReviewPro offers annual volume subscriptions with unlimited seats or annual seat subscriptions with unlimited interactive contract reviews. Volume plans cost $2,750 for 50 reviews, $7,500 for 150, $18,000 for 400 and $40,000 for 1,000. Seat pricing starts at $6,000 a year for one user; larger minimum seat commitments reduce the rate per user. Standard implementation is included at no extra charge. Custom playbook architecture and ongoing custom maintenance are separately scoped optional services.

Named seat subscriptions are limited to internal contracts, while legal client work requires express permission under a consumption subscription. The plan choice therefore changes both the charging unit and permitted use.

Source: Vendor Published
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.

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.

ReviewPro supports legal departments and business teams handling recurring commercial agreements against approved positions. Standard playbooks cover common forms, and custom architecture lets a legal team encode its own preferred and fallback language. Industry offerings include healthcare, insurance, manufacturing, technology, higher education, staffing and law firms. A firm's plan matters because named seat subscriptions cover only its internal contracts, not an unlimited external client review service.

Client work requires express authorization under a consumption subscription. The terms also restrict protected health information to an executed BAA and eligible features. The full set of supported jurisdictions and excluded agreement types is not defined.

Source: Vendor Published
Sources on file

6 public documents

The public pages on file for LegalSifter, with the recorded signals each one supports and the date it was last read. Open any of them and check the reading against the record.

Pricing

From $2,750/year for 50 contract reviews

USD, as published, never converted
  • The smallest volume plan costs $2,750 a year for 50 reviews.
  • It allows unlimited users.
  • Larger annual plans buy more reviews at a lower price per review.
  • Seat plans start at $6,000 a year for one person and unlimited interactive reviews.
  • Standard setup is included; custom playbook services cost extra.
  • Legal client work needs a consumption plan with express permission.

Annual volume subscriptions include unlimited seats: Basic $2,750 for 50 reviews, Team $7,500 for 150, Business $18,000 for 400 and Enterprise $40,000 for 1,000. Additional volume uses the plan's review rate. Annual seat subscriptions allow unlimited interactive reviews: Single $6,000 for one user, Team $4,500 per user with three minimum, Business $4,000 per user with eight minimum, and Enterprise $3,500 per user with fifteen minimum.

Named seat plans cover internal contracts only; external legal client services require an expressly authorized consumption plan.

Implementation: Standard implementation included. Custom playbook architecture and maintenance are separately scoped and quoted.

Note: All stated subscriptions are annual. Volume and seat subscriptions use different units and permitted use. Seat plans prohibit unattended batch review and client service bureau use. Optional custom playbook services add a separately agreed charge.

Legal Signals

What each signal means

A signal records what public sources say on the date shown. It is not a grade and it is not a recommendation. Where a signal reads Not addressed, it means the index did not locate the material in public sources on that date, which is a statement about disclosure rather than about the product.

Confidentiality and Privilege

Client Data in Training

Can material a lawyer puts into this product be used to train a model?

Permitted, in the contract

The published agreement expressly reserves a right to train on customer content, with no opt out located. Any de identification, anonymization or aggregation qualifier is recorded in the summary.

The ReviewPro terms grant LegalSifter a perpetual right to use anonymized customer content to train, tune and improve its own models and services. They prohibit using that content to train third party AI components. The security FAQ describes training as an agreement choice, but the standard agreement itself supplies the permission. This is a contractual right to reuse content, not evidence that any particular customer's contracts have already trained a model.

Source: Vendor PublishedAs of Oct 15, 2026Evidence

Prompt and Output Retention

How long does the product keep what a lawyer typed, and can that be set to zero?

Disclosed without a period

Retention is acknowledged in public materials with no stated period.

Contracts are permanently deleted within 30 days after the subscription ends. Third party model handling is subject to separate retention restrictions, while the terms reserve continuing rights over anonymized training material and derived improvements. Neither the termination deadline nor processor handling establishes an ordinary lifetime for the customer's prompt and output history in ReviewPro. The current security position describes no configurable in service retention period and no zero history setting.

Source: Vendor PublishedAs of Oct 15, 2026Evidence

Ethical Walls and Matter Segregation

Does retrieval respect the firm’s ethical walls, or can the model read across them?

Not addressed

No located public material addresses walls or matter level segregation.

ReviewPro isolates customer records and supports role and feature based access inside the application. Its single sign on connection delegates authentication to the organization's identity provider. Those controls protect a tenant and govern which functions a user can access. The current security explanation does not describe internal client matter walls or a retrieval connector that inherits per user permissions from a legal document management system.

Source: Vendor PublishedAs of Oct 15, 2026Evidence

Third Party Request and Subpoena Notice

If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?

Notice committed

Terms commit to notice where lawfully permitted. No transparency report located.

The agreement requires notice before legally compelled disclosure unless the law prohibits it, allowing the customer to seek protection and participate in the response. Confidential information includes customer contract content, and the parties intend disclosure through the service not to waive privilege or work product protection. This is a protection for legal demands, separate from the promise to notify confirmed security or model integrity incidents. LegalSifter does not mention a government request transparency report.

Source: Vendor PublishedAs of Oct 15, 2026Evidence
Accuracy and Authority

Primary Law Corpus Provenance

Where does the law in this product come from, and does the vendor have the right to use it?

Sources named, basis unstated

Sources are identified without stating the license or rights basis.

ReviewPro interprets a customer's contract against standard or custom playbooks containing legal positions and editing instructions. The July 2026 study identifies attorney approved edits as the reference for its NDA benchmark and varies the detail in those playbooks. These are concrete sources for reviewing an agreement. The product does not identify a licensed primary law collection or a complete account of the foundational training material behind every model it uses.

Source: Vendor PublishedAs of Oct 15, 2026Evidence

Good Law Verification

Does the product tell you when the authority it just cited has been overruled?

Not addressed

No located public material addresses whether authority is checked for subsequent history.

ReviewPro connects review issues to contract language and the selected playbook, with redlines and explanations available in Word or Google Docs. Its accuracy study concerns issue detection and the fidelity of edits to an attorney approved position. A method for checking subsequent judicial treatment, a named licensed citator or a warning that an authority has ceased to be reliable is not part of the stated contract review workflow.

Source: Vendor PublishedAs of Oct 15, 2026Evidence

Refusal and Uncertainty Behavior

What does the product do when the answer is not in the corpus?

Not addressed

No located public material addresses what the product does when it cannot ground an answer.

The review process flags issues and proposes edits against a selected playbook. A person remains responsible for vetting that playbook and checking the returned changes, and Trial Features cannot be used in production. The study measures missed issues and incorrect actions rather than a per answer confidence display. A defined abstention response when the playbook provides insufficient support for a conclusion is not described.

Source: Vendor PublishedAs of Oct 15, 2026Evidence

Fabricated Citation Record

Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?

None located

No court order, opinion or disciplinary record addressing fabricated or hallucinated legal citations produced by this product has been located as of the date shown. This is a statement about the public record on that one subject, not a finding about the product, and this signal is not a litigation history.

The AI Hallucination Cases database has no tool entry naming LegalSifter or ReviewPro as of October 15, 2026. ReviewPro's stated task is to identify contract issues and generate playbook guided redlines rather than prepare a court brief. That use context is separate from the database result. Neither the absence of a named court entry nor a contract benchmark establishes that every proposed legal edit is correct.

Source: Operator VerifiedAs of Oct 15, 2026Evidence
Professional Responsibility

Bar Guidance Alignment

Has the vendor engaged in public with the ethics opinions its buyers are bound by?

Not addressed

No located public material engages with bar or ethics guidance.

LegalSifter says it is not a law firm and does not provide legal advice. Its terms require customer verification, encourage legal counsel and distinguish internal seat subscriptions from authorized services for legal clients. Those are concrete responsibilities and scope limits. A named bar ethics opinion or jurisdiction specific professional rule governing the use of ReviewPro is not identified in these product and contractual instructions.

Source: Vendor PublishedAs of Oct 15, 2026Evidence

Billing and Fee Posture

Does the vendor address what happens to the bill when the work takes an hour instead of six?

Savings claims only

Public materials claim time savings without addressing billing or disclosure, and the product sits inside a fee relationship between a lawyer and a client where those savings would change the bill.

LegalSifter compares the time and cost of automated review with conventional review, including a field account of a complex contract review falling from about 90 minutes to five. Firms may provide client services only under an expressly authorized consumption subscription. The subscription charge leaves open what a lawyer should bill a client. A client invoice disclosure method or a matter time record designed to allocate AI assisted work is not described.

Source: Vendor PublishedAs of Oct 15, 2026Evidence

Outside Counsel Guideline Readiness

Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?

Subprocessors listed

A current subprocessor or model provider list is published.

The processor list identifies OpenAI and Anthropic and their United States locations, while the agreement covers confidentiality, training permissions, incident response and restrictions on sensitive data. A law firm can use those details in responding to a client's AI requirements. They do not form a ready made client consent pack, and the default own model training permission remains relevant even though third party model training is prohibited.

Source: Vendor PublishedAs of Oct 15, 2026Evidence

Court Disclosure Support

If a judge’s standing order requires an AI disclosure, can the product produce one?

Partial record

Some elements of the record are available, short of a document level export.

ReviewPro returns tracked edits and explanatory comments in the working agreement, preserving part of the reviewer's interaction with proposed changes. Its versioned repository and playbook management add context about contract work. LegalSifter describes no export combining the model version, all retrieved material and human verification for each generated passage. The editing record is therefore useful context for review but is not a complete court AI disclosure certificate.

Source: Vendor PublishedAs of Oct 15, 2026Evidence
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 19, 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.
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