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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.
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.
Alternatives to LegalSifter
Vendors in the same categories as LegalSifter whose graded profiles look most alike, with a line on what each product does.
Similar is not the same, so check that each one does the job you need. No vendor pays for placement.
- TTomorroTomorro is a French contract lifecycle management platform, formerly Leeway, operated by Tomorro SAS from Toulouse.
- SSpotDraftSpotDraft is a contract lifecycle platform for in house legal teams and their sales, finance, HR and procurement colleagues.
- CContractSafeContractSafe is contract management software built around a searchable repository and renewal tracking, sold as a simple and affordable alternative to larger CLM systems.
- LLuminanceLuminance combines contract negotiation, portfolio analysis and automated workflows for legal teams and the business functions working with them.
- TThoughtRiverThoughtRiver provides AI contract review for corporate legal teams and the law firms serving them.
- LLeahLeah, formerly ContractPodAi, is an agentic platform for contracting, legal, procurement and finance work at large enterprises.
Ordered by how closely the graded profiles match across the 15 capability axes, inside the same categories. See how each axis is graded in the methodology.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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legalsifter.com/terms-conditions4 signals
Client Data in Training, Third Party Request and Subpoena Notice, Bar Guidance Alignment and 1 more
Read Oct 15, 2026
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Good Law Verification, Refusal and Uncertainty Behavior, Court Disclosure Support
Read Oct 15, 2026
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Prompt and Output Retention, Ethical Walls and Matter Segregation
Read Oct 15, 2026
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Fabricated Citation Record
Read Oct 15, 2026
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Primary Law Corpus Provenance
Read Oct 15, 2026
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legalsifter.com/subprocessors1 signal
Outside Counsel Guideline Readiness
Read Oct 15, 2026
From $2,750/year for 50 contract reviews
- 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 meansA 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.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
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.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
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.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
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.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
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.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
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.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
No located public material addresses whether authority is checked for subsequent history.
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.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
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.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
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.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
No located public material engages with bar or ethics guidance.
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.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
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.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
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.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
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.