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LawDroid
LawDroid is an AI legal automation platform for law firms, legal aid organizations, courts and government agencies, operating since 2016. LawDroid Builder is a no code platform for building client facing chatbots, conversational intake, document automation and online legal services from the firm's own workflows, templates, questions, logic and content, with natural language answers to common questions. It turns Word documents into templates with conditional logic, captures leads into case management systems, reports on client choices, and lets a person take over an automated conversation.
LawDroid Copilot is an AI assistant for legal professionals covering case law research, document review and summaries, drafting, grammar and citation format checking, and brainstorming. At the Enterprise tier LawDroid builds and manages custom chatbots for firms with heavy website intake. The vendor pitches Builder as a way for firms to sell self service documents, issue spotting and legal guidance. Builder integrates natively with Clio Grow and Clio Manage; Copilot connects only through Zapier.
Pricing is published: Copilot at $25 per user per month with a 7 day free trial, Builder at $99 per user per month, both month to month, and both together at $99 per user per month on an annual commitment.
LawDroid, 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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Similar is not the same, so check that each one does the job you need. No vendor pays for placement.
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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.
Two products with different centrality, judged on the combination rather than the stronger half. Builder, the intake and automation product, is at heart a no code workflow and conditional logic engine. Independent review says Builder draws on the workflows, templates, questions, logic and content the firm builds into it, and is not positioned as a broad legal research database. Decision tree chatbots and document assembly on conditional logic are deterministic automation, with natural language answers added on top.
Copilot is the opposite: an AI assistant with no function without the model. LawDroid has operated since 2016, when chatbot automation was rule based, and independent review describes Copilot as a new product adding large language model AI to an existing range. What buyers here get is an automation builder that now has AI in it, not a model that automation was built around.
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.
A research capability with no disclosed sources and an explicit third party warning. Copilot is stated to assist with case law research, and independent review states that the specific sources from which it retrieves case law are not explicitly detailed, that outputs should be treated as work product requiring attorney review, and that attorneys should verify results before relying on them. Unsourced case law retrieval is the highest risk configuration in legal AI and it is exactly the shape that produces fabricated citations.
Nothing published by the vendor addresses grounding, citation to source, accuracy, hallucination rate, evaluation or benchmark. The Builder side compounds it differently: chatbots answer frequently asked questions using natural language over firm supplied content, and nothing states what happens when a question falls outside that content.
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.
One published feature answers this directly. The vendor offers human agent takeover, letting a person jump in and take over an automated conversation, framed as automation being good and automation plus the human touch being better. That is a named way for a person to interrupt an automated process while it runs, not just review it afterward. It is the right control for a chatbot talking to a member of the public in real time.
Independent review adds that output should be treated as work product needing attorney review. Nothing is bounded, though. There is no statement of what triggers a handoff, whether escalation can happen automatically on a detected condition, or what the bot does while waiting for a person. Nor does anything say what it may say unattended at the Enterprise tier, where LawDroid builds and manages the chatbot for the firm.
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.
Independent review is the substance, and customer evidence is thin. A named legal technology publication reviewed both products separately, verified pricing and integrations, and recorded limits, including that no secondary source library was verified for Builder and that Copilot's case law sources are not detailed. Review that records what could not be verified is better evidence than a testimonial. The vendor has operated since 2016 and has a named affinity partnership with that publication.
Against that, one customer quote is attributed to a named person, the CEO and Founder of LexBlog. No law firm, legal aid organization, court or government agency customer is named, though all four are stated buyers. No usage figure, case study or measured outcome is published, and a major review platform profile shows zero reviews.
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.
Nothing substantive located. The only statements found say the platform maintains confidentiality and safeguards sensitive information, phrasing that names no mechanism, and an independent review checkbox notes the product claims to keep data secure. Nothing addresses attorney client privilege or work product. The gap has a specific shape here. An intake chatbot talks to a prospective client before any engagement exists, and what it collects sits in the uncertain zone before privilege attaches.
That is a professional responsibility question and a conflicts question, since a firm that learns a prospective client's confidences may be conflicted out of acting for the other side. Nothing published engages any of it.
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.
Not located, and the question is sharp here. The vendor markets Builder to firms as a way to scale legal expertise and charge for services such as self service legal documents, issue spotting and legal guidance, delivered while the lawyer sleeps. Issue spotting and legal guidance delivered automatically to a member of the public, for a fee, with no lawyer present is the unauthorized practice scenario in its most direct form, and the vendor names it as the product's purpose.
Buyers include legal aid organizations and courts, where the end user is a self represented member of the public. Nothing published says output is not legal advice, addresses where legal information ends and legal advice begins, or engages any bar authority or access to justice guidance on unbundled or automated delivery.
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.
Nothing published about how the models are governed, evaluated or monitored. No AI policy, no model card, no bias or fairness testing, no evaluation methodology, no accuracy monitoring, no drift statement, no named governance body, no ISO 42001 and no EU AI Act positioning are published. The untested risk is specific to intake rather than generic: an intake chatbot performs triage, deciding which inquiries convert to leads and which are turned away, and any systematic tendency in that triage falls on prospective clients who are never told a machine assessed them and have no route to appeal.
In the legal aid and court configurations the vendor names, the people being triaged are self represented and often have no alternative.
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.
No stewardship position located. Nothing states whether intake conversations, uploaded documents, firm built workflow content or Copilot prompts are used to train or improve models, no retention period is published, and no deletion right is described. The content at stake includes conversations with prospective clients about their legal problems, which is sensitive personal information collected from members of the public who are not the customer and have no relationship with the vendor at all. The only located statements are generic assurances of confidentiality and privacy.
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.
No published position located. Nothing was found on liability for AI output, warranty, service levels or remedy. Three exposures are distinctive here. An unsourced case law citation from Copilot reaching a filing is the fabricated citation risk in its classic form. A chatbot delivering issue spotting or legal guidance that is wrong reaches a member of the public directly with no lawyer in between, which is the vendor's stated use case rather than a misuse.
And in the Enterprise tier LawDroid builds and manages the chatbot on the firm's behalf, so the vendor authored the conversation flow that spoke to the public, and nothing addresses who carries that.
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.
A practice management integration is named, and the difference between the products is stated precisely. Builder integrates natively with Clio Grow and Clio Manage, the intake and practice management systems the target buyer actually uses. Native integration with the intake product matters because a captured lead must become a matter. Copilot connects only through Zapier, and independent review says so plainly, noting that any practice management system connecting to Zapier could potentially work with Copilot.
The vendor says one product integrates natively and the other does not, rather than claiming integration across the platform. Builder states lead capture into a firm's case management system, and API workspace integrations are mentioned. Only one practice management vendor is named, no API documentation is published, and the Zapier dependency is a real limit for Copilot.
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.
Nothing located. No hosting provider is named, no region or data residency commitment is published, and no deployment options are described beyond the products being web based and cloud hosted. Residency matters here because the vendor states buyers including courts and government agencies, which routinely carry procurement requirements about where public data is processed, and because intake conversations with members of the public are personal data subject to state and international regimes.
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.
No certification, attestation, trust center or security page is published. No SOC 2 of either type, ISO 27001, named auditor, penetration testing partner or encryption statement was found. The only material is a generic claim that the product keeps data secure, recorded through an independent review checkbox. That review's own framing notes that most AI products are built in ways that make them inherently insecure, which is the reviewer's caution rather than a finding about this vendor.
The gap matters because the stated buyers include courts and government agencies, which usually require a named attestation before buying.
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.
Nothing located. No foundation model provider, model family or version is named, no line is drawn between proprietary and third party models, and no subprocessor list was found. Independent review describes Copilot as using large language model AI, which confirms an outside or licensed model layer exists without naming it. Copilot's case law sources are also undisclosed, so neither the model nor the data behind the research feature can be identified from public material.
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.
Complete pricing is published across two products and a bundle. Published and independently verified: Copilot at $25 per user per month and Builder at $99 per user per month, both month to month with no annual contract, a 7 day free trial on Copilot, and both products together at $99 per user per month with an annual commitment. That last item matters. The bundle costs the same as Builder alone but locks the buyer in for a year, a real trade off disclosed rather than buried, which a buyer can weigh without a sales conversation. An Enterprise tier for managed delivery is unpriced, the only gap.
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.
Buyer coverage is stated broadly, and practice coverage is not stated at all. Named buyers span law firms, legal aid organizations, courts and government agencies, a wide institutional range, and pricing and independent review make clear the target is solo practitioners and small firms. What is missing is any description of substantive coverage. No practice areas or jurisdictions are named, and because Builder runs on content the firm supplies, its subject coverage is whatever the customer builds, which the vendor never says.
For Copilot, independent review notes that no secondary source library was verified and that case law sources are not detailed, so research coverage cannot be assessed either.
1 public document
The public pages on file for LawDroid, 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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g2.com/sellers/lawdroid1 signal
Client Data in Training
Read Aug 29, 2026
From $25 per user per month
- Copilot costs $25 per person a month and Builder costs $99 per person a month.
- Both are month to month with no yearly contract, and Copilot has a 7 day free trial.
- Buying both together also costs $99 per person a month, but that deal needs a one year commitment.
- An Enterprise tier for managed delivery exists and has no published price.
Published on the vendor's pricing page and independently verified: Copilot at $25 per user per month, Builder at $99 per user per month, both month to month with no annual contract required, a 7 day free trial on Copilot, and the two products together at $99 per user per month on an annual commitment. An Enterprise tier for managed delivery is unpriced. Recorded from the Commercial Transparency read; figures as published on the verification date of that row.
Implementation: Not stated. No onboarding, setup or professional services charge is published for the self serve tiers; the Enterprise tier is quote based.
Note: The bundle is the disclosure worth noticing: it costs the same as Builder alone but locks the buyer into a year, and the vendor publishes that trade off rather than burying it.
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?
A published agreement or policy exists and none of it addresses the question either way, or the document that would answer it could not be read and the summary names the retrieval limit. The summary states which shape the silence takes: an improvement right granted that never names training, or no improvement right granted at all.
Silent. The quoted phrase is the fullest data handling statement located, and it is an assurance that names no mechanism, scope or commitment. No statement either way was found on whether intake conversations, uploaded documents, firm built workflow content or Copilot prompts are used to train or improve models. The content at stake is particular. Intake conversations come from members of the public describing their legal problems, who are not the vendor's customers and have no relationship with it, so they cannot consent, object or ask.
The vendor names legal aid organizations and courts among its buyers, so some of those conversations are with self represented people in difficulty. Recorded as silent, not as a commitment against training. Checked the Copilot page, the home page, the Builder material, the site navigation and independent review on 29 Aug 2026.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
No located public material states how long prompts and outputs are retained.
Not addressed. No retention period is published for intake conversation transcripts, generated documents, captured lead data or Copilot prompts, and no deletion right is described. Retention is implicit in the product rather than stated: the vendor markets rich analytics giving an in depth understanding of a client's every choice and preference, which requires conversation level data to be retained and analyzed, and lead capture writes contacts into a case management system.
Nothing states how long the underlying transcripts persist, whether a prospective client who never becomes a client can be purged, or what happens on cancellation of a month to month subscription. Checked the Copilot page, the home page, the Builder material and independent review on 29 Aug 2026.
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.
Not addressed, and intake raises a conflicts question. No permission model, matter level access restriction or tenant segregation was described. An intake chatbot collects a prospective client's account of their dispute before any engagement or conflicts check, and under professional conduct rules, receiving a prospective client's confidences can disqualify a firm from acting against them. Nothing published says whether intake data is screened, held back pending a conflicts check, or visible across the firm on capture.
The vendor's stated lead capture writes contacts automatically into the case management system, the opposite of holding them back. Checked the Builder material, the Copilot page, the home page and independent review on 29 Aug 2026.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
No located term or policy addresses third party requests for customer data.
Not addressed. No government or law enforcement request clause, no commitment to notify a customer before producing their data, and no transparency report were located. The vendor holds intake conversations in which members of the public describe legal problems, which may include admissions or details relevant to matters they are seeking help with, and it names courts and government agencies among its buyers, so it sits close to public institutions while holding material about individuals dealing with them.
Nothing published addresses any of it. Checked the home page, the Copilot page, the Builder material and the site navigation on 29 Aug 2026.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
No located public material identifies the corpus behind the product’s answers.
Not addressed, and an independent reviewer has documented the gap. Builder runs on workflows, templates, questions, logic and content the firm supplies, so it has no vendor collection of sources; independent review says so and notes that no secondary source library was verified for Builder. Copilot is the real gap. It is said to perform case law research, and independent review records that the sources it retrieves case law from are not detailed.
A research feature whose sources are unidentified cannot be assessed for jurisdiction, depth, currency or licensing, and a practitioner relying on a returned authority cannot tell what was searched. Checked the Copilot page, the Builder material, the home page and independent review on 29 Aug 2026.
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.
Not addressed, and the question applies. Copilot performs case law research and checks citation formats, and independent review confirms basic case law research. Format checking is not treatment checking: a correctly formatted citation says nothing about whether the case is still good law. Nothing published names a citator, describes a treatment or currency check, or says an overruled or superseded authority would be flagged.
The combination is concerning: unidentified case law sources, no citator, and a citation format checker that could give a practitioner false confidence that citations were validated when only their formatting was. Checked the Copilot page, the home page and independent review on 29 Aug 2026.
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.
Not addressed. Human agent takeover lets a person interrupt an automated conversation, but that is a control over the conversation, not a description of how the system behaves when unsure. Nothing published says whether a chatbot flags that it cannot answer, hands off automatically when a question falls outside the firm's configured content, or tries to answer anyway with its natural language capability. That last case matters most, because the person on the other side is a member of the public who cannot tell a configured answer from an improvised one.
For Copilot, nothing describes what happens when case law research finds nothing supportable. Checked the Builder material, the Copilot page, the home page and independent review on 29 Aug 2026.
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.
None located, with the instrument named. General web searches combining the vendor and product names with court, order, sanction and fabricated citation terms returned nothing on 29 Aug 2026, and no named docket database or court record tracker was searched. This is a statement about what this search found, not a clearance. The exposure shape is specific: Copilot performs case law research from sources it does not disclose, and independent review advises that attorneys verify results before relying on them, which is the exact configuration that has produced fabricated citation sanctions elsewhere in this market.
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.
Not addressed, and the gap matters more than usual. No named ethics opinion, ABA Formal Opinion 512, state bar guidance or engagement with professional conduct rules was located. The product is marketed to deliver issue spotting and legal guidance to the public for a fee without a lawyer present, and to legal aid organizations and courts serving self represented people. That is exactly the territory bar authorities and access to justice regulators have been addressing.
A vendor working there with no reference to any authority leaves a larger gap than a drafting tool omitting the same thing. Checked the Copilot page, the Builder material, the home page, the site navigation and independent review on 29 Aug 2026.
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.
Recorded as savings claims only, with a twist. The vendor mainly sells a revenue model, not time savings: it markets Builder as a way for firms to scale their legal expertise and charge for services such as self service legal documents, issue spotting and legal guidance while they sleep. That is a claim about creating billable product rather than cutting cost. Independent commentary supplies the cost side, noting that the $25 monthly Copilot plan costs less than an hour of paralegal work in most markets.
Neither claim has a method. Nothing addresses the client's side: no position on how a firm should present or bill machine delivered legal services to a consumer, no disclosure guidance, and no record of what part of a delivered service was automated. That matters most where the buyer is a member of the public paying for a self service document.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
No located public material supports a client side disclosure obligation.
Not addressed. No trust center, security page, named certification, subprocessor list, named model provider, data processing agreement or documentation request route was located, so a firm has nothing to forward and no destination to point a client toward. The gap is compounded by the stated buyer set: courts and government agencies ordinarily require a named attestation and a documented processing position before procurement, and neither exists in public material.
Checked the home page, the Copilot page, the Builder material, the site navigation and independent review on 29 Aug 2026.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
No located public material addresses court disclosure or verification certification.
Not addressed. Nothing shows that output records which model produced it, no human verification record is kept, and no export or audit record was located for either product. The vendor publishes detailed analytics on client choices and preferences, which is conversion analysis for the firm, not a defensible record of what a chatbot told a member of the public. In intake, the disputed record is more likely to be what a bot said to a prospective client, surfacing in a fee dispute, bar complaint or malpractice claim, than a filed document.
Nothing in the product is described as producing a retainable transcript for that purpose. Checked the Builder material, the Copilot page, the home page and independent review on 29 Aug 2026.