N
NexLaw
NexLaw is an AI legal assistant for US litigators from NexLaw Inc., founded in June 2024 by Francis Lui with Bernie Law as chief operating officer. NeXa, the core assistant, researches case law, statutes and regulations with each answer linked to its authority, builds arguments and counterarguments, and drafts memos, motions and pleadings in an issue, rule, application and conclusion structure. Document Insights summarizes long files and flags risks, Deposition Insights finds contradictions and admissions in transcripts, and ChronoVault maps every fact in a case to its supporting evidence on an interactive timeline.
TrialPrep assembles witness outlines and trial materials, and Courtroom Assistant recalls arguments and exhibits during a hearing. Higher tier features stress test a case theory against opposing counsel's likely arguments, surface bad facts and model case outcomes. NexLaw sells to solo practitioners, boutiques and trial teams in personal injury, medical malpractice, criminal defense, family law and estate litigation. Data is stored and processed in the United States, and annual licenses start at $2,999.
NexLaw, 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 NexLaw
Vendors in the same categories as NexLaw 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.
- CCandle AICandle AI is an AI email assistant for law firms from Candle AI, Inc. of Austin, Texas, running inside Gmail and Outlook through a Chrome extension and an Outlook add-in.
- LLawpathLawpath is an Australian platform that handles legal, tax and compliance administration for small businesses in one place, without engaging a separate adviser for each task.
- PPhilips SpeechLivePhilips SpeechLive is a cloud dictation, speech recognition and transcription platform sold by Speech Processing Solutions, with a legal edition, SpeechLive Legal, for solicitors…
- IInhouseInhouse is an AI legal assistant for small business owners, founders and individuals in the United States, sold by Inhouse AI, Inc. of Santa Monica.
- GGenie AIGenie AI is a contract drafting, review and negotiation platform sold to business teams rather than law firms, with in house legal setting the playbooks and guardrails that commercial…
- LLexiLexi is an AI workspace for legal work from a Y Combinator company with offices in the United States, India, Australia and Singapore, sold to law firms, in house teams, corporate legal…
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.
Each module is model work aimed at a stage of litigation. NeXa researches precedent with source citations, builds arguments and counterarguments, and drafts memos, motions and pleadings. Document Insights summarizes thousands of pages and flags risks, Deposition Insights finds contradictions and key admissions in transcripts, and ChronoVault maps each fact in a case to its supporting evidence on a timeline.
TrialPrep assembles witness outlines and trial materials, and Courtroom Assistant recalls arguments and exhibits in real time. The Professional tier adds a red team that argues opposing counsel's best case, bad fact detection and outcome probability modeling. Matters and files are the only parts that would function without the models, and the terms describe the AI services as machine learning models that produce probabilistic output.
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.
Every research answer links to the controlling authority it relies on, whether case law, a statute or a regulation, so an attorney can open each source before it goes into a filing. NexLaw markets the research as hallucination free with 100% traceability, and a shareholder at Marquis Aurbach Coffing credits it with 100% citation accuracy on medical record summaries.
No test set, error rate or method stands behind the accuracy claims, and the retrieval method and research sources are not described. Output is described in the terms as probabilistic, and assessing its accuracy for each use falls to the user.
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.
Users and their end users are accountable under the terms for every decision made, advice given and action taken on the strength of the AI output, which is described as probabilistic and to be assessed for accuracy. ChronoVault ties each fact to its evidence, and research answers link to their authority, which gives a reviewer something to verify against.
No review step, approval point, threshold or route back to an attorney is described for drafts, red team analysis or outcome modeling, and nothing says what happens when the courtroom assistant surfaces a wrong exhibit or argument.
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.
Nine case studies name the attorney and firm, each published with the client's consent. Randi S. Sirlin of Sirlin Law Firm in Phoenix cut drafting of complex family law pleadings from 8 to 10 hours to 4 to 5 using NeXa Deep Research, Build an Argument and the pleadings tool. The Scott Practice reports cutting discovery auditing time by more than 90% in estate litigation. Christian T. Balducci, a shareholder at Marquis Aurbach Coffing, says medical record summaries went from three days to 15 minutes.
Other studies cover Southern Arizona Legal Aid, Williams Oby Law Group, The Hingerty Law Firm, Steele Law Corporation, EMC Law and Resnick & Louis. The before and after figures come from the attorneys' own accounts of their hours, the studies carry no dates, and each warns that individual results vary.
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.
Privilege gets its own section in the trust center. Client and matter data is not used to train public models, and each firm works in a logically isolated environment with access controls against leakage across matters and clients. Firms set their own retention rules, and role based access limits who inside the firm can see or act on a matter. NexLaw says it is built around ABA Model Rule 1.6, offers an ethics opinion from outside counsel on request, and includes a data processing agreement in every deployment.
The published terms are broader than these commitments. They license user content to maintain the service and to improve NexLaw's products and create aggregated, deidentified information, and they let staff reach content to comply with legal requirements. Zero data retention is described for enterprise users only, and the data processing agreement is not published.
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 terms make users and their end users accountable for all decisions made and advice given on the basis of the AI services, and describe output as probabilistic. They do not say that NexLaw gives no legal advice.
The product is sold to litigators, from solo practitioners to trial teams, yet the about page also invites individuals seeking legal clarity. No disclosure for people who are not lawyers is published, and no jurisdiction limit is stated beyond the focus on litigation in the United States.
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.
Neither an AI policy nor a governance framework, accountable owner or testing program is published. The trust center's section on AI transparency covers the site's llms.txt file and how crawlers may use NexLaw's web content, not how its models are tested. Nothing addresses uneven output across practice areas, jurisdictions or parties, including for the outcome modeling and red team features.
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.
Legal data is kept for seven years or as the law requires under the privacy policy, and firms can set retention rules so matters and AI outputs are kept or deleted in line with their own policies. Data is encrypted with TLS in transit and AES 256 at rest in databases and object storage, keys are rotated under internal policy, and requests are authenticated and authorized before processing.
Change management, access management and incident response procedures are described as formally defined and tested, with continuous monitoring and regular vulnerability assessments. Audit logs record logins, matter actions including each AI analysis run, and permission changes, and administrators can export them. No subprocessor list or breach notice period 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 of service, last updated 30 July 2025, exclude liability for indirect, incidental, special, consequential and punitive damages, including lost profits and data, and state no cap on direct damages. The service is provided as is with all defects, and merchantability, fitness, non infringement and error free operation are disclaimed.
Users carry responsibility for every decision and action based on the AI output. No indemnity runs from NexLaw to the customer, and no warranty on output or insurance is offered. Annual contracts paid in installments stay payable in full if cancelled early, under the refund and cancellation policy.
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.
NexLaw runs as a standalone web platform. Files are uploaded through its own secure uploader, smaller firms are offered its built in document management, and audit logs export for internal review. No connection to a case management system, a document management system, Microsoft Word or a court filing system is named, and bespoke configuration at onboarding is described without listing what it connects to.
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.
All data is stored and processed on servers in the United States, with no cross border transfers, on what NexLaw calls a private cloud built to store and protect client data. Each firm has a logically isolated environment, and the engineering team configures the deployment to the firm's data environment before it goes live.
Every plan runs on that same deployment in the United States. The cloud provider is not named, and no on premises option or choice of region is described, although the demo form takes requests from the United Kingdom, Canada, Australia and New Zealand.
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 certification, independently audited across the security, availability, confidentiality and privacy criteria, is claimed, with the full report available under NDA on request. The trust center describes the same program as aligned with SOC 2 Type II and the infrastructure as aligned with SOC 2, without naming the auditor, the review period or the scope. GDPR and HIPAA compliance are listed as badges.
Model Supply Chain Disclosure
Which models sit underneath, whose they are, where they run, and whether the vendor commits to telling customers when that changes. A legal buyer inherits every dependency it cannot see.
The AI services are described as machine learning models that generate probabilistic predictions from patterns in data, and the trust center separates NexLaw's environment from public AI services. No model, provider, host or region for the models is named, nothing says whether the models are NexLaw's own or licensed, and no notice of a change in models is promised.
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.
Prices are published in USD as annual licenses per user, with no minimum seat count. Essential costs $2,999 a year for solo practitioners and boutique litigation firms, covering research, IRAC structured drafting, deposition analysis and document review. Professional costs $3,999 a year and adds ChronoVault chronologies and timelines, red team stress testing, bad fact detection, outcome modeling, volume seat licensing, dedicated training and a custom retention and DPA arrangement.
The license includes onboarding, updates, standard support and bespoke configuration, and NexLaw states there is no implementation fee. A five day trial is offered, and qualifying firms can run a pilot scoped to one practice group, ending in an ROI report. Annual contracts paid by installments remain payable in full after cancellation.
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.
Litigation in the United States is the focus, for solo practitioners, boutiques, trial teams and high volume litigators, with enterprise plans adding SSO. Practice areas named include personal injury, medical malpractice, criminal defense, family law and appeals, and estate litigation, and the case studies add legal aid and multistate practice. Solution pages cover discovery, litigation strategy and contested contract and breach analysis.
Outside litigation, coverage is not described, and no practice area or jurisdiction is stated as unsupported, although demo requests are taken from the United Kingdom, Canada, Australia and New Zealand.
5 public documents
The public pages on file for NexLaw, 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.
-
nexlaw.ai/trust-center4 signals
Prompt and Output Retention, Ethical Walls and Matter Segregation, Outside Counsel Guideline Readiness and 1 more
Read Oct 13, 2026
-
Fabricated Citation Record
Read Oct 13, 2026
-
nexlaw.ai/pricing1 signal
Bar Guidance Alignment
Read Oct 13, 2026
-
nexlaw.ai/privacy-policy1 signal
Third Party Request and Subpoena Notice
Read Oct 13, 2026
-
nexlaw.ai/terms-of-service1 signal
Client Data in Training
Read Oct 13, 2026
From $2,999 per user/year
- NexLaw sells a yearly license for each lawyer who uses it.
- The Essential plan costs $2,999 a year.
- The Professional plan costs $3,999 a year and adds timelines and case testing tools.
- Setup and training are included, with no extra fee.
- You can try it free for five days.
Annual license per user in USD, with no minimum seat count. Essential at $2,999 a year covers NeXa research with source citations, IRAC structured drafting, deposition and impeachment analysis, document drafting and review, and encryption. Professional at $3,999 a year adds ChronoVault fact to evidence chronologies, evidentiary timelines, red team stress testing, bad fact identification, outcome probability modeling, volume seat licensing with dedicated training, and custom data retention with a bespoke DPA.
Implementation: None. The annual license covers the platform, hosting in the United States, bespoke configuration and standard onboarding, and most firms go live within two weeks.
Note: A five day trial is offered, and qualifying firms can run a pilot scoped to one practice group with an ROI report at the end. Under the refund and cancellation policy, an annual contract paid by installments must be paid in full if cancelled early.
Legal Signals
What each signal meansA signal records what public sources say on the date shown. It is not a grade and it is not a recommendation. Where a signal reads Not addressed, it means the index did not locate the material in public sources on that date, which is a statement about disclosure rather than about the product.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
The published agreement expressly reserves a right to train on customer content, with no opt out located. Any de identification, anonymization or aggregation qualifier is recorded in the summary.
Section 4 of the terms licenses user content to NexLaw to maintain the service, to improve its products and services, and to create aggregated and deidentified information, with no exclusion for model training. Matter data is promised never to train or improve any AI model under a contractual guarantee, and client data is said not to train public models. The data processing agreement that would carry that guarantee is not published.
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.
Firms set their own retention rules for matters and the AI outputs tied to them. The privacy policy keeps legal data for seven years or as the law requires, and zero data retention is described for enterprise users only. Professional plans add a custom retention arrangement.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
Segregation is asserted in public materials with no published detail on how it is enforced.
Each firm has a logically isolated environment with access controls meant to stop data passing between matters or clients, and role based access limits who in the firm can view or act on a matter. How matter permissions are set, and whether they follow a document system's access rules, 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.
The privacy policy lists law enforcement cooperation where the law requires it, and the terms allow confidential information to be disclosed to comply with applicable law and let staff reach user content to meet legal requirements. Neither commits to telling the customer about a demand for its data, and no transparency report 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?
Coverage is described by jurisdiction with no identification of the underlying corpus.
Research answers draw on case law, statutes and regulations, focused on federal and state litigation in the United States, and one case study cites Arizona statutes and court rules. The databases or publishers behind the research, the rights basis and the update cadence are not named.
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.
Answers link to the controlling authority they cite, but nothing describes a check of whether a cited case has since been reversed, overruled or questioned, or any treatment signal shown beside it.
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.
Research is marketed as hallucination free, and nothing describes what the product does when it finds no controlling authority or how it signals uncertainty. The terms call the output probabilistic and leave assessment 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.
The AI Hallucination Cases database maintained by Damien Charlotin, which records court decisions worldwide that address hallucinated AI content and the tool involved where known, has no entry naming NexLaw or its NeXa assistant. NexLaw's terms leave every decision based on its output with the user.
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.
The product is described as built around ABA Model Rule 1.6 on confidentiality, with matter data kept out of training and held on servers in the United States under a data processing agreement. An ethics opinion prepared by outside counsel is offered on request. No mapping to ABA Formal Opinion 512 or to state bar opinions is published.
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.
More than 20 hours freed a week is the headline claim, along with an Essential license that pays for itself in three billable hours. The case studies report drafting time halved and discovery auditing cut by more than 90%. The buyers bill clients, and nothing addresses how AI assisted work should be recorded, billed or disclosed.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
The material exists behind a sales conversation or an executed agreement.
The SOC 2 report goes to eligible customers under NDA, an ethics opinion from outside counsel is offered on request, and a data processing agreement comes with each deployment, bespoke on the Professional plan. No subprocessor or model provider list is published.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
Some elements of the record are available, short of a document level export.
Audit logs record matter actions including uploads, exports and each AI analysis run, and administrators can export them for regulatory reporting or litigation holds. Research answers link to their authority. No per document record ties a filing to the model used, the sources and the attorney who verified them, and no court disclosure template is published.