Lawdify vs Litmas AI: how they compare in 2026
Lawdify and Litmas both use the case file to support litigation work, but organize the next steps differently. Lawdify's Case Brain accumulates the matter's information and supplies it to Lawri, specialized skills and Microsoft connections. The AI Legal Index highlights its support for APAC communication formats and multilingual evidence as relevant to disputes assembled across jurisdictions. Teams can carry that context into spreadsheets and Word drafts. Litmas organizes facts around the elements of a claim and connects each assertion to the source page and line. It compares incoming material with the existing record, follows legal citations and drafts against that structured information. The AI Legal Index highlights its assembly of a motion's cited exhibits after approval as a useful bridge between analysis and filing preparation. Lawdify favors a flexible case assistant across several work surfaces; Litmas emphasizes the relationship among a claim, its supporting evidence and the resulting litigation draft.
At a glance
All 15 axes, side by side
The same grid applied to every vendor in the index, graded from public sources. Hover a grade to see what the letter means on that axis.
AI Centrality
How much of the product is actually AI. Whether the machine learning is the mechanism the buyer is paying for or a feature layered onto conventional software, and whether the vendor is specific about which is which.
Lawdify is built around AI interpretation of evidence and the work that follows from it. Case Brain organizes parties, dates and issues from uploaded material, while Lawri uses that context to answer questions and prepare drafts. Expertise Engineering turns the team's own methods into reusable skills, and Smart Tables run specialized tasks as the dispute develops. Email instructions can start several agents and return their results to the sender. These functions depend on models understanding and generating content, rather than adding a conversational feature to an older records system. File storage and exports support the service, but the case intelligence is the product being sold.
Litmas AI answers research questions about the case, extracts causes of action and maps evidence to their elements, builds a relationship graph of the case, drafts discovery and deposition questions, and drafts motions and pleadings from the case file and validated case law. Newer features include an Agentic Associate with control points called Review Draft and the Verification workflow. The Authority Map is described as "a citation network built from the orders themselves". It ranks leading authorities by how many dockets cite them and can check an opposing brief. The platform alerts the lawyer when a new transcript contradicts an earlier statement, and exports a motion with every cited document as an exhibit. For mass claims, a master case holds shared facts, case law and templates, and work product is generated for each sub case. The case library that holds the documents supports that work.
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.
Evidence Check is designed to test whether a proposition has supporting material in the case file. Lawri can inspect case context, and the research interface presents authorities with relevance and application descriptions. The legal product also offers factual checking and argument strength assessment. Its visible examples do not establish a reproducible accuracy test, a citation status check or a consistent route from every generated assertion to an open source passage. The terms describe output as probabilistic and place evaluation with the user. These are useful verification intentions and review functions, with the detailed grounding method and measured failure behavior still unspecified.
Litmas AI's FAQ says every case, statute and pincite is checked against verified U.S. court opinions through a dual layer validation system before it reaches the user. A citation that cannot be validated is removed rather than shown, and every citation that remains is linked inline so the lawyer can open it and judge its applicability. Facts are cited to the record at the pincite level. The home page promises "100% Citation Accuracy" and says every legal citation is verified against authoritative sources "with full Shepardization", following citations in both directions. The case law research page lists checks for existence, treatment and proposition, subsequent history and negative treatment, and where a case has been distinguished and by whom. The pricing page promises zero fabricated case law. No error rate, test set or independent evaluation is published, and case law is updated at a cadence that varies by court and is given on request.
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.
The legal workflow gives the lawyer a first draft and a visible editing surface. In Word, proposed revisions appear with track changes so the user can review and accept individual edits. The terms also require evaluating probabilistic output for the intended use, including expert human review. Email agents can process attachments and reply with results, while specialized skills automate steps in case preparation. The distinction between a draft and professional judgment is therefore supported by an actual review mechanism. A threshold that stops an agent, a mandatory approval before consequential action and a recovery route after an incorrect result are not specified.
Drafting runs step by step, with verified facts assigned to a motion and elements marked as proven by the user. Litmas AI's FAQ says the lawyer keeps full editorial control and can review every section before submission, and that the platform supports the duty to supervise rather than substituting for it. A blog post of 27 September 2026 answers whether Litmas AI files or sends without the lawyer's review: "No. Every draft stops at your desk before it moves anywhere else." Each section can be edited, approved or regenerated. Nothing states what the product may not be used for or what happens when its output is wrong. Output is marketed as ready to file and ready for filing, and a blog post of 10 September 2026 describes a summary judgment draft as 90 percent ready to be filed.
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.
Lawdify identifies deployed use as well as product demonstrations. Its September 2026 account describes Zurich Insurance Malaysia moving from a three month proof of concept into a multiyear deployment. That is a named operational relationship in the insurance business, rather than a measured result for every legal workflow. The legal service also presents customer experience around evidence organization and case preparation. The broader claims about faster settlements, reduced loss ratios and fraud detection are not accompanied by a method tying each figure to a named deployment. The available customer evidence supports practical use without establishing a reproducible estimate of legal team productivity.
The site quotes Kristina Ducos of The Ducos Law Firm, George G. Leynaud of the Law Offices of Leynaud & Leynaud, and Richard R. Kennedy of the Law Offices of Richard R. Kennedy. The home page claims more than 200 firms and 10 times faster drafting. Litmas AI's FAQ says users typically cut motion drafting time by 60 to 80 percent, and the how it works page repeats the figure, with no basis or source given for any of these numbers. Litmas AI was named among 15 finalists for the Startup Alley at ABA TECHSHOW 2026, announced on 5 March 2026.
Privilege and Confidentiality Posture
How client confidences are handled: attorney client privilege and work product treatment, segregation of one client matter from another, whether client data trains any model, and what the vendor commits to in writing rather than in marketing.
The February 2026 terms expressly exclude customer documents, legal files and case materials from model training and product improvement. They distinguish that material from anonymized, aggregated operational usage metrics. Customer information is subject to confidentiality obligations, and the hosting provisions describe logical separation between customer environments. Deletion after termination includes backups and a certificate with logs. These are explicit commitments for material entrusted to the service. The confidentiality section also uses pilot terminology, while specific treatment of legal privilege, internal matter walls and retention by individual model providers remains unclear. The promise covers more than a general assurance that information is secure.
The Trust Center and FAQ say case data is encrypted, isolated to the firm's workspace, never shared with other users, stored on U.S. servers and never used to train AI models. The pricing table lists attorney client privilege as protected, and the pre suit workflow covers client intake and privileged communications. No terms of service, customer agreement, data processing addendum or subprocessor list is published. Nothing says which model providers process case data, and deletion after cancellation follows an unstated retention period.
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.
Lawdify's legal workspace is aimed at law firms and internal legal teams handling contentious work. Its terms distinguish the application from legal advice and say that it does not create a lawyer and client relationship. The AI output provision describes generated content as probabilistic and calls for evaluation appropriate to the use case, including expert human review. Word editing and evidence checks support that professional review in the product. The legal service also reaches construction claims teams and other specialists. A jurisdiction by jurisdiction account of permitted professional use, competence obligations and limits for people who are not lawyers is not provided.
Litmas AI's FAQ says it does not provide legal advice or replace professional judgment, that the filing is the attorney's whatever tool produced it, that verifying output before filing remains the lawyer's responsibility, and that the platform is designed to support the duty to supervise. The trial page says Litmas AI "is designed exclusively for licensed attorneys, in-house counsel, and their professional staff", and that anyone outside a legal practice or legal department may not be eligible for access. The product is built for litigators, and coverage is U.S. federal and state law. No published agreement repeats that position, and the same pages describe output as ready to file and ready for court.
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.
Lawdify identifies an AI Governance Framework and a prompt injection testing report in its trust center. Access to those materials requires a request, so their detailed controls and results are not available in the open view. The privacy policy recognizes a right to human review of certain automated decisions where applicable, and the service makes commitments about customer data use and human evaluation of output. These establish elements of a responsible AI position. They do not reveal who owns model governance, what release testing covers or whether uneven performance across languages and legal settings has been measured. The restricted framework's contents remain unknown.
No AI governance framework, accountable owner, testing before release, or finding on how research or drafting performs across jurisdictions, practice areas or case types is published. The About page lists the team, including Chief Legal Officer Wayne Atkins, and names no owner for AI governance.
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.
The service combines encryption in storage and transit with authentication, access logging and logical separation of customer environments. Its terms set deletion procedures for removed material and terminated accounts, including a deletion certificate and associated logs after service exit. A trust center names cloud and supporting service providers, while the privacy policy describes security monitoring, backups and incident response procedures. These provisions address how client material is handled beyond ordinary website privacy. The incident section does not set a customer notification timetable or describe the response workflow in detail, and the complete path through underlying AI providers is not mapped for each processing operation.
Litmas's Trust Center says data is encrypted with AES-256 at rest on servers based in the U.S., isolated to each workspace, protected by access controls and never used for training. After cancellation, data stays exportable for a limited period and is then permanently deleted. The Privacy Policy, effective 18 November 2025, keeps personal information as long as necessary and names categories of service providers, including those that provide AI functions. No retention period, subprocessor list or incident notification commitment is published.
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 terms exclude warranties of accurate or reliable output and place professional evaluation with the user. They limit consequential losses and require the customer to defend Lawdify against several categories of claim arising from use or breach. The liability limitation contains exceptions for matters including fraud, intellectual property and confidentiality obligations, but its cap is internally inconsistent: the written amount corresponds to $100 while the parenthetical figure is $10. A specific promise to defend the customer against an AI output claim is not included. The result is a conventional allocation of risk away from the supplier, with an unresolved ambiguity in the stated monetary limit.
No terms of service or customer agreement is published, so nothing states what Litmas stands behind when its output is wrong, its liability limits or any indemnity.
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.
Lawdify connects its case information to Microsoft Word, Outlook and Excel. The Excel application has a concrete setup path: sign in to a Lawdify account using email verification, select a case or matter, then use the chat panel or custom functions. LAWDIFY.ASK returns an answer in a cell, while LAWDIFY.EXTRACT pulls information from case material into the spreadsheet. The application can read and change the workbook and send information over the internet. A Lawdify subscription is required. This describes both the movement of case information into an existing work surface and the configuration needed to use it, beyond a list of compatible applications.
Litmas AI's FAQ says it can integrate with most case or practice management systems through APIs, naming Clio, Filevine and MyCase, and the Unlimited plan includes case management integration support. The home page describes an API ready ecosystem, and a blog post of 20 February 2026 promises API ready integration with existing systems without naming them. Drafts export to Word, with PDF export described as coming, and a motion can be exported with every cited document as an exhibit. What connects, what syncs and how it is configured is not described.
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.
Customer data is hosted in Singapore by default, with other jurisdictions available by arrangement where the cloud infrastructure supports them. The security offering describes regional support across Asia, the European Union and the United States. The terms also describe logical separation of customer environments, and the current certification scope identifies the legal platform on Azure and Google Cloud Platform. These details make the default hosting location and the existence of regional alternatives concrete. They do not provide a complete list of selectable processing regions, explain every AI inference location or map storage and processing differences to subscription tiers. Residency therefore remains partly specified.
The Trust Center and FAQ say the platform runs in the browser, that all data is stored on servers in the U.S., and that each firm's data is isolated to its workspace on a privately housed server. It is a single cloud service. Where AI processing takes place, and whether infrastructure is dedicated or shared, is not stated, and no other deployment option is offered.
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.
Prescient Security issued Lawdify's ISO/IEC 27001:2022 certificate on February 13, 2026. Certificate 122744, Issue 2, is valid through February 25, 2028, subject to satisfactory surveillance. Its scope covers the information security management system supporting the Legal AI Analyst platform hosted on Azure and Google Cloud Platform, including engineering, development, information security, legal and finance functions. The certificate is available directly in the trust center, with the issuer, dates and scope visible. Separate audit and penetration testing reports require access approval. The certificate establishes a current independent management system attestation; it does not certify the correctness of generated legal analysis.
Litmas has completed a SOC 2 Type I examination and an independent HIPAA compliance audit, according to its Trust Center and its blog, and offers both reports to customers and prospective customers under NDA, requested by email to privacy@litmas.ai. The case law research page calls it SOC 2 certified. The auditor and the report period are not stated.
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.
Case Brain combines graph and vector databases to connect contract information with evidence and follow changes in a dispute. Lawri, specialized skills and the email agents operate on that case context rather than treating each request as an isolated conversation. Google Cloud Platform, Microsoft Azure and AWS support the infrastructure, with the legal platform's certification scope specifically covering Azure and Google Cloud Platform hosting. The foundation models and their versions are not individually identified. Nor is there a stated customer notification mechanism for model substitutions. The architecture is partly explained, while the full chain of model operators remains unspecified.
Litmas AI's FAQ says answers are combined through its proprietary legal reasoning layer from the case file and verified U.S. court opinions, and the Privacy Policy lists service providers that provide AI functions. The employment law page says the system is trained exclusively on verified legal data, never general internet content, and a blog post refers to a proprietary database of case law, statutes and regulations. No model, model provider, inference location or change notification is published.
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.
The current terms distinguish recurring self service subscriptions from enterprise arrangements governed by an order form. Additional processing pages and capacity for AI tasks can carry separate charges, so both the recurring structure and usage expansion are visible. Prices are presented during registration or contracting rather than in an open rate table. Cancellation deadlines differ between self service and enterprise subscriptions, and fees are generally nonrefundable. An earlier founder submission gave an annual range without identifying the currency, which does not establish a current comparable price. Implementation charges and the amount charged for each additional processing unit are also not separately stated.
The pricing page publishes a plan priced per case at $125 per case per month, pausable at any time, and an Unlimited plan at $999 per attorney per month with a free paralegal seat, personalized onboarding and drafting before suit. Each case includes 5,000 pages, with additional pages at $0.01 each, and uploads can be up to 500 MB per file. A drafting service by Litmas's own legal team is priced at $1,499 per case per month per attorney, covering defined drafting requests per case each month. A free trial of 7 days is offered, and the compare page says no annual or multi year commitment is required.
Firm and Practice Coverage
Who the product is actually built for. AmLaw, midlaw, small firm and solo, in house departments, government and courts, and which practice areas are supported rather than merely claimed.
The legal platform serves law firms and internal legal teams preparing disputes, with construction and infrastructure claims prominent in its founder account. Claims consultants, expert witnesses and contractors also use the same kind of evidence preparation workflow. Support includes APAC languages and communication formats such as WhatsApp, WeChat and KakaoTalk, alongside email archives, spreadsheets and handwritten material. The company separately sells insurance claims assessment, including bodily injury work. That combination gives a specific picture of the intended settings and evidence types. An exhaustive jurisdiction and practice coverage table, exclusions for particular legal tasks and firm size limits are not supplied.
The site covers solo practitioners to larger firms and in house teams, and lists the motions and documents it drafts. Practice area pages cover personal injury, insurance defense, commercial litigation, criminal defense, employment, debt collection, family law, IP litigation, bankruptcy, appeals and mass litigation. The family law page offers fourteen starting points across dissolution, custody, support, paternity and protective orders, in California Family Code and general versions. The IP page covers patent, trademark, copyright and trade secret cases, and the bankruptcy page makes all 91 bankruptcy courts selectable. Litmas claims case law coverage in all 50 states and federal courts, with local rule formatting. Case law currency varies by court, and the cadence is given only on request. What the product does not handle is not stated.
The 12 legal signals, side by side
Recorded rather than graded. These are the questions a practitioner has to answer before a tool touches a client matter, and the answers are taken from public material only.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
The February 2026 terms explicitly prohibit using customer documents, legal files and case material to train models or improve products and services. Only anonymized, aggregated usage metrics, such as feature use and error rates, may support platform improvement. That exception concerns operational telemetry, rather than the substance of client matters. The privacy policy also excludes customer personal data from generalized public model training.
Reusable skills within the customer's workspace are a product function; they do not override the express restriction on training from customer content.
The Trust Center and FAQ state that workspace data remains private, is never used to retrain AI models, and is used only to power the firm's case analysis. The personal injury page says data is never shared or used for training. No customer agreement is published, so the statement is not matched by a contractual term. Which model providers process case data is not stated.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
Account data remains subject to the privacy policy's service, legal and business purposes. The terms set a 30 day period after a user deletes customer material and a similar exit period before resources and backups are removed, subject to applicable requirements. A deletion certificate and logs follow service termination. These are deletion event rules, rather than a fixed lifetime for every prompt and answer during an active subscription. A customer selected zero retention option and a separate schedule for AI provider copies are not described.
Litmas's Trust Center says that after cancellation data stays available for a limited retention period for export and is then permanently deleted, without stating the period. The Privacy Policy keeps personal information as long as necessary for its stated purposes. Nothing states how long prompts and AI outputs are kept during a subscription.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
The hosting terms describe logical separation between customer environments, with authentication and access controls. The product also organizes information into cases and lets the Excel user select a matter. Those features do not specify how conflicting matters inside one firm are separated during retrieval. Inheritance of source system permissions, enforcement for each user and the treatment of shared skills across restricted matters are not described.
Customer isolation therefore has an express basis, while the behavior of ethical walls within an individual firm's workspace remains unspecified.
Litmas's Trust Center says each firm's data is isolated to its workspace and not shared with other users. It does not describe how access is controlled within a firm, whether cases can be walled off from particular users, or how isolation is enforced.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
The confidentiality terms require prompt written notice of a compelled disclosure demand to the extent practicable, allowing the disclosing party to seek a protective order at its own expense. The receiving party also agrees to cooperate with those efforts. For a broad regulatory request not aimed at the customer, the agreement permits compliance with prompt notice where the regulator allows it. Disclosure may still proceed when legally required.
These provisions establish a notice commitment with stated qualifications, without a transparency report describing requests actually received.
The Privacy Policy says Litmas may disclose personal information in response to valid requests by courts or government agencies, or to comply with a legal obligation. Nothing addresses whether the firm will be told, and no customer agreement is published to address requests for case documents.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
Legal research is described as covering cases, statutory material and other legal databases, alongside analysis of the customer's own evidence. The interface illustrates relevance and application summaries, but does not identify a complete set of source publishers, licensing arrangements or jurisdiction specific update schedules. The insurance offering separately refers to proprietary injury and settlement intelligence, which does not establish the rights supporting the legal research collection.
Customer uploaded evidence and external legal authority have different provenance, and the latter's acquisition and licensing terms remain unspecified.
Litmas AI's FAQ and pricing page describe the source material as verified U.S. court opinions with coverage of all 50 states and federal courts, updated on an ongoing basis at a frequency that varies by court and is given on request. The case law research page says every cite is resolved against the reporter, without naming it. The source of those opinions and the basis on which they are used are not identified.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
Lawri can check facts against the case file, and Evidence Check examines whether evidence exists and supports a proposition. Those functions concern factual support. The legal research feature includes smart citations, case relevance and statutory analysis, but does not identify a licensed citator or explain its own subsequent treatment process. A case appearing relevant is different from confirming that it remains usable authority after later decisions.
The product's general verification functions therefore do not establish an automated good law check for authorities used in a draft.
The how it works page says Litmas AI "verifies the historical citation treatment of every case cited to determine whether the case is good law or bad law." The case law research page lists subsequent history and negative treatment as checked, with where a case has been distinguished and by whom, and describes the Authority Map as a citation network built from court orders. Dual layer validation also checks each citation for existence and accuracy against U.S. court opinions. No commercial citator is named as the source, and the lawyer is left to judge weight and applicability.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
The interface includes a prompt optimizer, factual checking and evidence support checks. The terms warn that model output is probabilistic and should receive expert evaluation. None of those descriptions specifies a refusal path when the available material cannot support an answer. A stop condition, a visible uncertainty threshold and the response presented after grounding fails are not defined for Lawri or the email agents.
The question is how the product handles insufficient support before delivering a result, separate from the lawyer's opportunity to review it afterward.
Litmas AI's FAQ says that a citation which cannot be validated against a source is removed rather than shown, and the how it works page says the Evidence Mapper surfaces claims the record cannot support and shows where evidence is missing. A blog post of 20 March 2026 says that when the evidence does not support an argument, the platform says so, and the case law research page flags where a case does not support the proposition. No published evaluation shows that behavior.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
No matching entry was found in the AI Hallucination Cases database for Lawdify, Lawri, Case Brain or Smart Tables as of October 16, 2026. The check covered the company name and the named legal product components rather than treating a general account of AI misuse as an incident involving this service. This result records the absence of a matching case in that database on the stated date. It does not measure citation accuracy, establish that every generated draft is reliable or remove the need for professional verification.
The AI Hallucination Cases database maintained by Damien Charlotin records no case involving Litmas. No court order, opinion or disciplinary record naming the product is on the public record.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
The legal workspace supports lawyers through first drafts, evidence analysis and tracked edits, and its terms retain expert review and disclaim legal advice. Those provisions do not connect the workflow to a named bar opinion or a jurisdiction specific framework for competence, confidentiality and supervision. The company's mention of inclusion in a government AI guide is a product listing rather than an explanation of professional obligations.
No mapped set of bar requirements accompanies the described legal workflow or its use by claims specialists who are not lawyers.
A blog post of 27 September 2026 names ABA Formal Opinion 512, California's recently passed law on attorney duties over AI, and Rule 11. Litmas AI's FAQ says the filing is the attorney's, verification before filing is the lawyer's duty, the platform supports the duty to supervise, and attorneys have been sanctioned for citations fabricated by AI.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
Lawdify presents faster case preparation and less repetitive evidence work as benefits for disputes teams. Its agents can examine files, produce first drafts and bring case information into spreadsheets, which may change the time spent on a matter. The legal workflow does not include a record separating AI effort from lawyer time for a client invoice. Guidance on passing through productivity gains, recording review time or explaining AI use in an engagement is also not supplied. The cost argument remains an efficiency claim rather than a billing method.
Litmas AI's FAQ says attorneys typically cut motion drafting time by 60 to 80 percent. A blog post of 10 September 2026 says attorneys are often left reducing the hours it took to draft when they bill the client. Nothing addresses how AI assisted work is reflected in what a client is billed or what a client is told.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
The named service providers are Google Cloud Platform, Microsoft Azure, AWS, Cloudflare, GitHub and Vanta, covering hosting, monitoring, version control and compliance. Customers can also inspect the current terms, privacy policy and ISO certificate, while additional assurance materials require an access request. This provides identifiable suppliers for part of a client's vendor review. A full model provider inventory and a prepared client disclosure or consent package are not presented with the list.
The available material therefore supports supplier identification without establishing every fact needed for a particular client's AI clause.
The SOC 2 and HIPAA reports are offered under NDA on request. No subprocessor or model provider list and no disclosure material for clients is published in the Trust Center, the FAQ or the Privacy Policy.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
The Excel connection retains chat history organized over time, with controls to revisit, rename and delete conversations. Word drafting uses tracked changes, and the legal workspace can export organized bundles for filings. These preserve parts of the work and review context. They do not form a single export identifying the model used for each passage, all retrieved sources and the lawyer who verified them. A court specific disclosure or verification certificate is not described. The available record is partial and should not be treated as an automatically completed filing declaration.
Every fact and case reference in the output carries an inline pincite to its source, and Litmas AI's FAQ says the platform gives lawyers the traceability to show their work. The appeals page claims a full audit trail for every output. No record of which model produced a draft, and no export of AI use for disclosure to a court, is described.
Which one fits
Choose Lawdify if
- The matter includes multilingual evidence or APAC messaging formats.
- The team needs reusable skills informed by its own experience and files.
- Spreadsheet and email tasks should share context with the legal drafting workflow.
Choose Litmas AI if
- Facts must be organized against the elements of specific claims.
- The team wants contradictions raised as new evidence enters the case.
- Approved motions should export with the cited source files assembled as exhibits.
In summary
Lawdify
Lawdify provides a multilingual case assistant connected to shared evidence and Microsoft tools.
Litmas AI
Litmas AI maps facts to legal elements and uses that structure in motions and other litigation drafts.
Questions buyers ask
How do the products represent case knowledge?
Lawdify describes an evolving Case Brain used across its tools. Litmas describes a structure connecting claims, legal elements, facts, timelines and entities. From the AI Legal Index, based on each vendor's own published materials as of October 16, 2026. No vendor pays for placement.
Does Litmas retain source detail when it drafts?
Its workflow keeps facts linked to original page and line references and uses the case record and authorities when revising a draft. From the AI Legal Index, based on each vendor's own published materials as of October 16, 2026. No vendor pays for placement.
Can Lawdify use a firm's own style?
Yes. Assisted Drafting can use the team's precedents and writing style, with editing in Microsoft Word and track changes for review. From the AI Legal Index, based on each vendor's own published materials as of October 16, 2026. No vendor pays for placement.
Neither vendor paid for inclusion, placement or a grade, and neither reviewed this page before it published. Everything on it comes from public material on the dates shown. How the index grades.
Litmas describes United States state and federal litigation coverage. Lawdify emphasizes APAC languages and disputes across jurisdictions, without an exhaustive legal coverage table.