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Precedent
Precedent is a case automation platform for plaintiff personal injury law firms, from Precedent LLC of Charlotte, North Carolina, whose founders the company describes as insurance carrier insiders. It covers the work before litigation, from intake to demand. Claim Setup submits the claim to the carrier and returns verified policy limits, with a letter of representation generated automatically. Record Retrieval requests, takes in and tracks medical records, and an Exhibit Manager sorts, describes and renames incoming files and flags gaps in documentation.
Demand Composer, the flagship, drafts the demand package from the case documents at a flat rate of $275 with unlimited pages and revisions. Other products build medical chronologies, generate demands for several plaintiffs, benchmark demands and flag the tactics an adjuster is likely to use. In what the company calls a Closed Loop Architecture, every medical fact, diagnosis and billing code in a demand is linked to its source page, and trained expert reviewers check each draft before the firm receives it.
Precedent integrates with Clio, SmartAdvocate and Litify. It reports more than 100 law firms and over 50,000 demands sent.
Precedent, 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 Precedent
Vendors in the same categories as Precedent 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.
- LLaw Practice AILaw Practice AI is AI software for plaintiff law firms, founded in 2019 and based in Woodland Hills, California.
- NNeosNeos is cloud case management software built for plaintiff personal injury firms.
- CCodes HealthCodes Health retrieves and reviews medical records for plaintiff personal injury and mass tort firms.
- FFilevineFilevine is case management software for law firms and legal teams, built around the life of a matter from intake to settlement.
- CCasePeerCasePeer is cloud case management software built only for plaintiff personal injury and mass tort law firms.
- EEsquireTekEsquireTek is a written discovery platform and service from EsquireTek, Inc. of San Diego, built for plaintiff trial lawyers, litigation firms and corporate legal teams.
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.
The models drive a core capability on a service platform that would still work without them. Claim setup with the carrier, policy verification and medical record retrieval are operational services with a workflow and human core. The vendor presents them as the first three of four steps before AI enters, and a firm could buy them alone and receive a working service. The models power the fourth step, which holds the flagship.
Demand Composer drafts the demand package from the case documents, MedChron builds medical chronologies, and Global Demand produces packages for several plaintiffs. Other tools sort incoming files, benchmark demands and anticipate adjuster tactics, and a voice assistant called Ask Casey sits alongside them.
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.
Grounding is real, documented and checkable. In what the vendor calls a Closed Loop, every medical fact, diagnosis and billing code in a demand letter is linked directly to its source page in the raw medical record. The vendor tells buyers they need not trust the AI, because they can click the citation and see the document. The same page carries a heading that reads Zero Hallucinations, yet the vendor also has reviewers check factual integrity before delivery, which a system free of hallucinations would not need.
Accuracy therefore rests on source links and human review rather than on model behavior. That is a sound design, and it is not what the headline claims. No measured accuracy figure, test set or method is published, and no failure mode is named.
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.
Human review is written into the workflow at two stages, and the controls around it are not published. The vendor's own trained expert reviewers check each draft for narrative logic and factual integrity before the firm sees it, an oversight step inside the vendor rather than an obligation placed on the buyer. The attorney then receives what the vendor calls a draft ready for review, with every medical fact traceable to its page in the record, so checking is a designed workflow rather than an instruction.
No mode is described, no threshold is stated at which the system stops or escalates, and nothing says what happens when output is wrong. The source linking architecture is named rather than described as a control with stated limits.
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.
Deployment evidence is real and partly unverifiable, with one headline figure out of step with its source. A named case study with Hines Law Firm reports settlements up 16 percent and the likelihood of tenders up 71 percent, measured across hundreds of personal injury cases. Named customer logos include Catania, Ramos Law and Sand Law. Testimonials carry a person and a role, among them a Personal Injury Director at Hines Law who describes drafting thirteen demands in a day.
Aggregate figures are more than 100 law firms, more than 50,000 demands sent, a 95 percent retention rate and a 4.7 star rating, none with a stated basis. The case study page was not opened, so the method, comparison basis and period behind its figures are not known and the page may say more. The home page banner claims 25 percent higher settlements while the case study it links reports 16 percent, and nothing reconciles the two.
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.
Confidentiality is covered in contract and in architecture, while privilege and work product are not addressed anywhere. The Master Service Agreement puts Protected Health Information inside its definition of Confidential Information, binds both parties to strict confidence that survives termination, and requires subcontractors to be bound. It also commits to handling consistent with HIPAA. Behind the contract sit isolation between firms, encryption, and a bar on using case files for training or sharing them across clients.
The firm is said to own its data. Nothing addresses what an underlying model provider may retain from the medical files and demand strategy that pass through the system.
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.
The advice line is never drawn, though the vendor writes about professional conduct elsewhere. The Master Service Agreement has no statement that the service is not legal advice. Marketing presents the product as a drafting and workflow service rather than in terms of advice, and it is sold only to plaintiff firms. Every draft passes through the vendor's reviewers before it reaches the attorney, so lawyer review is built in and stated.
A vendor article on billing for AI powered services tells firms their use of technology must not compromise duties of loyalty and communication. Nothing states what the product is and is not, who may rely on it, or how it supports competence and supervision, and no jurisdiction limits are named.
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.
No governance position is published for a system that drafts the document a claimant's recovery is negotiated from. Nothing identifies who inside the vendor is accountable for the models. No testing or evaluation before release is described, no results are disclosed, no policy or principles statement exists, and no certification such as ISO 42001 is claimed. Nothing addresses uneven output across injury types, jurisdictions or claimant demographics.
The security page does carry a section headed AI Safety with real content, but what it describes is the product's quality controls, source links and expert review. Those govern the quality of a draft. Governance is a different matter, namely who answers for how the system is built, tested and corrected, and that is not published.
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.
Data handling is documented in substance, and incident response is the gap. Encryption is AES-256 at rest and TLS 1.2 or better in transit with perfect forward secrecy. Access inside a firm runs on roles, retention is set by the customer rather than the vendor, and permanent deletion is available. Client files are kept out of model improvement, and health data is handled under a design built for HIPAA. All of that is published policy rather than marketing.
No incident or breach notification practice appears on any page, on a platform that takes in complete medical files and holds health records for every case it works.
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.
A real liability position is published, and it stops short of wrong output. The Master Service Agreement sets out mutual indemnification against third party claims arising from negligence, material breach, legal violations and other listed causes, with prompt notice and cooperation required. Aggregate liability is capped at amounts paid in the preceding twelve months, infringement claims excepted, and neither party bears indirect, consequential or punitive damages.
The vendor warrants its authority to perform and that it does not infringe registered US copyrights, patents and trademarks. Nothing a buyer can invoke applies when the output itself is wrong. No warranty covers the accuracy or completeness of a demand package, clause 6.3 disclaims all warranties beyond the limited one, and no insurance is referenced. One clause says the vendor has no liability for failing to identify or notify the client of any demand, on a service that sends demand letters to carriers for the firm.
The published agreement is an abridged summary. Fuller clause language appears in search results, and the full limitation wording, which could not be read, may say more.
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.
Integrations reach the case management systems this buyer runs, and their depth is not documented. Three are named, each with its own page. In SmartAdvocate, Demand Composer is said to run directly inside the platform. In Clio, demand creation is described as streamlined within Clio Manage, and in Litify demands are generated and managed in the firm's matter system. For plaintiff personal injury, those three cover most of the case management market.
The vendor was a finalist for Best New App in the 2025 Clio Integration Awards, an assessment of the integration itself, and a dedicated integrations index page exists. The three integration pages were not opened, so what syncs, in which direction and what a firm must configure are not known, and the pages may say more. No API or developer documentation was found, and no document management or electronic signature connection is named.
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.
Residency is stated at country level and nothing below it. The vendor states that all data processing and storage occur only in the United States and that client data never leaves US soil, framing this as data sovereignty. Tenancy is stated as logical isolation between firms. No cloud provider, region or data center is named, and no failover or secondary location is described. There is one cloud service, with no private, dedicated or on premises version.
Residency is the vendor's architecture rather than a customer choice, and a firm has no way to require or verify placement.
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.
SOC 2 Type II is claimed, and nothing lets a buyer see the evidence. The vendor states it is SOC 2 Type II certified on the strength of annual audits by independent third parties covering security, availability and confidentiality. Its architecture is said to be designed for HIPAA compliance, and it offers to sign a business associate agreement for firms handling Protected Health Information. The security page is the vendor's own and is substantive.
No auditor is named, no audit period or report date is given, and the scope is not described. There is no download, no stated request path and no security review process. No other attestation is claimed, and no penetration testing or vulnerability program is described.
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.
Models are referred to generically, and nothing underneath them is identified. The one trace of the supply chain is the security page's training statement, which mentions public foundational models and so shows that foundational models are in the architecture. It names no model, provider or version, and nothing states whether the generative layer is built by the vendor or supplied by a third party. The Closed Loop is described without saying what generates inside it.
No commitment to notify customers of a model change is published, and with nothing named, there is nothing such a notice could cover.
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.
Pricing is public for the flagship only, and the marketing and the agreement disagree about commitment. Demand Composer's rate, trial and fee terms are all published, so one demand can be priced up front, while the rest of the platform has no published rate. The home page states there are no contracts, and the security page that there are no long term contracts. Clause 9.2 of the Master Service Agreement provides for automatic renewal for a further twelve months with a 7 percent fee increase, unless the agreement is canceled in writing thirty days before the service end date. Both statements are published, and the agreement is the binding text.
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.
Coverage is deep within plaintiff personal injury and narrow by design, and its limits are not stated. The segment is plaintiff personal injury law firms, positioned explicitly against the carrier side. The vendor says it serves all firm sizes and handles small and large cases alike. Workflow coverage runs across the work before litigation, from claim setup and record retrieval to demand drafting and adjuster preparation.
Named customers range from regional practices to firms that advertise heavily. Nothing says which case types, injury categories or jurisdictions fall outside coverage, or whether the product suits work once litigation starts. A testimonial refers to requirements specific to a jurisdiction, and no jurisdictional scope is published.
5 public documents
The public pages on file for Precedent, 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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precedent.com/security5 signals
Client Data in Training, Prompt and Output Retention, Ethical Walls and Matter Segregation and 2 more
Read Sep 8, 2026
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precedent.com3 signals
Primary Law Corpus Provenance, Refusal and Uncertainty Behavior, Fabricated Citation Record
Read Sep 8, 2026
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Bar Guidance Alignment, Billing and Fee Posture
Read Sep 8, 2026
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precedent.com/demand-composer1 signal
Good Law Verification
Read Sep 8, 2026
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precedent.com/msa1 signal
Third Party Request and Subpoena Notice
Read Sep 8, 2026
$275 per demand
- A Demand Composer demand costs a flat $275, with unlimited pages and unlimited revisions, and the vendor presents that figure as a maximum price rather than a starting point. A 30 day trial is offered without risk. The pitch is fixed pricing with no fees, no add ons and no prepaid tokens, and payment only for what is used. Because the charge is per demand rather than per seat or user, a firm's cost grows with the matters it works rather than with headcount.
Only the flagship carries a published price. Claim Setup, Policy Verify and MedChron are among seven platform products with no rate published anywhere, so a firm buying the platform rather than single demands cannot establish its cost without a sales conversation. The Master Service Agreement adds the billing mechanics: invoicing on a trial or annual contract structure, payment due within thirty days, and taxes borne by the client.
Beyond the increase on renewal, any further rate increase requires mutual written agreement supported by documentation. Surfaces read on 8 September 2026: the home page, the Demand Composer page, the security page and its FAQ, and the Master Service Agreement.
Confidentiality and data terms: Business associate agreement offered to firms handling Protected Health Information; the vendor states it will sign a BAA to support HIPAA compliance, initiated by contacting its team. No tier condition or fee is stated for 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 public policy or trust page states no training on customer content, with no matching term located in the published agreement.
Training on client data is ruled out in policy, and the agreement says nothing either way. The Master Service Agreement contains no training, model improvement or machine learning provision anywhere, so the contract neither grants nor withholds a training right. The security page answers directly, with a Zero Training on Client Data badge and three statements. The vendor does not train its public foundational models on private client data.
Case files are used strictly to generate the demand package for that case. In the words quoted, data is never shared across clients or used for model improvement. The first statement reaches only public foundational models and would leave a vendor's own models open. The third bars use for model improvement without that limit and carries the broader commitment, so read together the three amount to a clear never.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
The customer controls the retention window, by product configuration or by contractual instruction, but zero retention is not stated as available.
Retention is in the customer's hands, with no zero retention setting stated. The vendor says the firm owns its data and provides tooling so the firm can apply its own retention policy, with permanent deletion available. On cancellation the firm can download all generated work product, and on request raw data is permanently purged within thirty days. The control is over how long material is kept, not whether it is kept, and the vendor imposes no fixed window.
The tooling is described rather than specified, so the selectable periods and the level they apply at are unknown. Nothing is published about retention of generated demand packages, or of the prompts and instructions a user supplies while drafting.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
The product maintains its own permission model, documented, requiring the firm to keep it aligned.
Matter access runs on the product's own permission model, which the firm configures and must keep aligned. Two layers are published. Between firms, each firm's data is logically isolated, with case files in their own private vault under strict access controls. Within a firm, role based access is assigned to partners, paralegals and case managers so that staff reach only relevant files, in the words quoted. That is how a firm would keep staff out of matters they are not working on.
The product holds its own repository of uploaded records rather than drawing on a firm's document management system, so there is no outside access model to inherit. Nothing published addresses ethical walls as such, conflicts screening or firms handling adverse parties, and the technical enforcement of isolation is not described.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
Published terms or policy address disclosure to authorities or in response to legal process, and no commitment or reservation regarding customer notice is located anywhere. The vendor has told the customer that data can leave and has said nothing about whether the customer hears of it.
Compelled disclosure is carved out of confidentiality, and notice is never mentioned. Exhibit B of the Master Service Agreement sets out the confidentiality regime and requires written consent before disclosure. Its exceptions clause, quoted, then removes from that obligation anything a party is legally required to disclose. Nothing attaches to the carve out: no advance written notice, no chance to seek a protective order, and no undertaking to limit disclosure to what the law requires.
The material at stake is a claimant's complete medical file together with the firm's demand strategy. No transparency report or similar periodic disclosure is published.
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.
The product draws on no body of legal content. A demand package rests on the customer's own case file, the medical records, bills and coverage documents uploaded for that matter, along with policy information the vendor obtains from the carrier. Nothing is retrieved from legal sources. The Demand Composer page does describe the product as built from real case data to drive carrier action, and nothing identifies what that data is, whose it is, or on what basis it was used. Nothing reconciles that phrase with the training commitment on the security page.
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.
There is no authority to check, because the product cites none. Its output is a demand letter sent before litigation to an insurance adjuster, and its citations point to the claimant's own medical records rather than to cases or statutes. The vendor's phrase that every argument is cited and every damage calculated refers to grounding each factual assertion in the file, not to legal citation. No public material addresses subsequent history, and no citator function exists.
What the product does verify with the carrier is insurance coverage and policy limits, a fact about the claim rather than legal authority.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
The vendor describes refusal or abstention behavior in public materials.
Gaps in the file are surfaced rather than written around, and the vendor says so in public. In the behavior quoted, incomplete documentation is flagged and the missing records are retrieved, and the vendor presents incomplete files as a cause of lower offers. The source linking design supports this, since an assertion with no source page has nowhere to attach. Together the two describe a product that flags what it does not have instead of generating over it. No evaluation, benchmark or worked example is published, and no confidence or grounding score is shown to the user.
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.
Searches found no matter naming this vendor. The company name was run against the AI Hallucination Cases database maintained by Damien Charlotin and through general search on 8 September 2026, and nothing returned a filing, sanction, order or judicial finding involving Precedent or its named products. Because the company name is a common legal word, queries were framed around the demand letter product and the personal injury setting. The result reflects that search on that date, not a claim that no such matter could exist.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
Public materials engage with at least one named ethics opinion.
Named professional conduct authority is engaged in substance, and the guidance on generative AI is not. The vendor's article on whether firms may bill clients for legal services powered by AI names ABA Model Rules 1.5 and 1.8 in the terms quoted. It maps requirements across six named states, among them Arizona, which requires written disclosure for contingency matters, and California, which prohibits unconscionable or fees.
The 2024 ABA formal opinion on generative AI is not cited, no state bar AI opinion is discussed, and nothing addresses the confidentiality, competence or client consent questions those opinions raise. The state mapping covers rules on disclosing costs, not the product measured against AI ethics opinions.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
The vendor’s charge reaches the client as a disbursement or case expense, typically advanced by a contingency firm and recovered from a settlement, so the fee question is disclosure of a pass through cost rather than compressed hours. The summary records whether the vendor addresses that disclosure.
The charge reaches the client as a case expense rather than through fewer billed hours, and the vendor addresses that disclosure directly. Demand Composer is priced per demand, the buyers are plaintiff firms working on contingency, and the firm advances the cost and recovers it from the settlement. What a client faces is disclosure of a disbursement passed through to them. A dedicated article says such costs are generally reimbursable where clearly disclosed in a fee agreement, reasonable in amount and necessary to the representation, and states the condition quoted.
It tells firms to itemize the expense, show necessity and obtain informed consent through a signed agreement. It also separates services specific to a case from subscriptions across the firm, which belong in the fee structure rather than on a client bill. Nothing addresses attorney time on a matter where the demand took hours instead of weeks, and the product produces no record of AI work per matter.
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.
A firm cannot list who touches a claimant's medical file, because no subprocessor list is published and nothing indicates one is available on request. No disclosure material for clients was found: no data processing addendum, AI disclosure pack, or consent or notification template. The business associate agreement on offer is a real commitment, but it is a HIPAA instrument between firm and vendor rather than a statement of who sees client content that a firm could forward, and it names no subprocessor.
A plaintiff practice working on contingency answers to an injured individual rather than to a corporate client's AI clause, though the disclosure gap is the same.
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.
Court disclosure and certification of verification go unaddressed. Judicial standing orders on AI are not discussed, no disclosure guidance or template is published, and nothing produces a record of the model used, the sources drawn on and the human check applied to a given document. A demand is addressed to an adjuster rather than filed, though a demand package can become an exhibit in a later bad faith or coverage action.
Source links travel with the delivered demand, yet no record of the reviewer's check on each document is produced or exportable, and nothing presents the links as serving disclosure. The model behind a demand is not identified either.