6 Settlement Valuation Software for Plaintiff Firms 2027
Pick the category before the vendor
Settlement valuation software estimates what an injury claim is worth from verdict and settlement records, medical costs and case facts. Some products also track offers and calculate what a settlement leaves the client after fees, liens and expenses.
Buyers usually compare brand names first, which is the wrong order. The category decides the fit. There are three groups: verdict and settlement databases you search for comparable cases, AI platforms that draft demands and estimate value from case files, and settlement modules inside case management that calculate net-to-client figures. A firm that buys in the wrong group pays for a capability it will not use. This guide profiles six tools across those groups and explains why one well-known valuation program is excluded. If you are choosing a tool for property valuations rather than injury claims, our real estate CMA comparison covers a different decision.
TL;DR: Buy for the bottleneck you can name. If benchmarking is slow, start with a verdict database. If demand drafting is slow, look at EvenUp or Anytime AI. If offers and net-to-client math cause rework, start with CloudLex's calculator and confirm its export path before you sign.
Key Takeaways
Choose the job before the vendor: verdict benchmarking, demand and valuation drafting, or net-to-client settlement math. Each job points to a different product type.
Five of the six profiled tools publish no standard price on the pages we read, so budget for a quote before you compare totals.
JuryVerdictAlert is the only profiled tool with published prices, and its database covers California verdicts only.
Settlement math is a configuration question. CloudLex documents two fee methods, and the illustrative example below shows the choice moving client net by $2,145.
We found no independent test of valuation accuracy for any profiled tool, so run a pilot on closed matters before you rely on a range.
Who this is for
This guide is for the owner or operations lead at a small plaintiff practice who is close to a purchase and needs to know which category fits a specific job. You should already have a case system or intake process, and you should be the person who will own the data, the renewal and the review step.
Red flags: you expect the tool's output to reach a client or an insurer without attorney review; you cannot export data out of your case system or get an API path; you are looking for the insurer's own valuation model to answer negotiation questions.
How we evaluated these tools
This is a desk review of public vendor pages and independent sources. We did not use any product hands-on. The weights below reflect a plaintiff firm's buying decision. The scoring scale is a rubric for your own pilot, not a score we assigned. We did not give vendors numeric scores, because the public pages do not support a fair score on every criterion. Facts come from the sources cited inline, and the judgments labeled "Our analysis" are ours.
| Criterion | Weight | Scoring scale | Why it matters |
|---|---|---|---|
| Verdict and settlement data depth | 25% | 1 to 5 | Benchmarks are only as good as the comparable cases behind them. |
| Settlement math (fees, liens, expenses, net to client) | 20% | 1 to 5 | Errors here reach the client's check directly. |
| Valuation and demand support | 20% | 1 to 5 | Shows whether the tool produces an output or only searches. |
| Pricing transparency | 15% | 1 to 5 | Public prices let you budget before a sales call. |
| Export and integration prerequisites | 10% | 1 to 5 | Determines whether you can build any review workflow. |
| Jurisdiction coverage | 10% | 1 to 5 | A database covering one state fits fewer firms. |
What each vendor documents
The table below shows what each vendor's own pages describe. "Not described" means the page we read says nothing about that capability. It does not mean the product lacks it.
| Product | Data described | Settlement math | Valuation or demand output |
|---|---|---|---|
| EvenUp | Verdict and settlement dataset, per its home page | Case financials built from treatment spend | Demand drafts and pain-and-suffering estimates |
| CloudLex | Not described | Deducted and Gross fee methods, liens, referral fees | Not described |
| VerdictSearch (ALM) | Case reports submitted and reviewed before publication | Not described | Not described |
| LexisNexis Verdict & Settlement Analyzer | Verdict and settlement records | Not described | Award ranges and outcome dashboards |
| JuryVerdictAlert | California civil jury verdicts | Not described | Search and print only |
| Anytime AI | Not identified | Not described | AI valuation, per vendor claims |
Data scale is where vendors differ most, and counts from different vendors measure different things. LexisNexis describes its collection as large and national, and its product page cites Lexis database: over 1.6M records according to LexisNexis (2026). Compare counts only after you read each vendor's definition of a record.
Pricing and total cost of ownership
Pricing checked November 8, 2026. Only one profiled vendor publishes prices on the pages we read, and the rest are quote-based or unpublished.
JuryVerdictAlert sells fixed-length passes: JuryVerdictAlert passes: $95, $295 and $395 according to JuryVerdictAlert (undated). Those prices cover 24 hours, one week and one month, respectively. The page does not say whether the passes renew.
| Vendor | Public price | Basis | Next step |
|---|---|---|---|
| EvenUp | Quote-based | No tiers shown on its site | Request a quote scoped to your case system |
| CloudLex | Quote-based | Package, users, storage, integrations, AI, services | Request a quote with tier details |
| VerdictSearch | Quote-based | Custom team quote | Ask about seats and export rights |
| LexisNexis Verdict & Settlement Analyzer | Not published | Unknown whether bundled with Lexis subscriptions | Check your Lexis contract |
| JuryVerdictAlert | Published | Fixed-length passes | Compare with the cost table below |
| Anytime AI | Not published | Subscription agreement linked, no price shown | Ask for pricing and data terms |
EvenUp's site lists no prices, plans or tiers, and offers "Schedule a Call" and "Schedule a Demo" actions instead. CloudLex says it does not publish standard per-user pricing and that quotes depend on package, users, storage, integrations, AI capabilities and optional services. VerdictSearch asks for a custom pricing quote for the team. Anytime AI links a subscription agreement but names no plans.
Because only the JuryVerdictAlert prices are public, the cost comparison below covers only that product. A total cost for the quote-based tools would be a guess.
| Scenario | Passes bought | Total cost |
|---|---|---|
| One 24-hour pass | 1 | $95 |
| Three one-week passes | 3 | $885 |
| One one-month pass | 1 | $395 |
For a firm that needs three separate week-long windows, three one-week passes cost $885 (3 × $295). That is more than twice the $395 one-month pass. Choose by the access pattern you need, and check the terms before you buy.
Six tools, profiled
Each profile separates what the vendor states from our read. Links point to the pages behind each statement.
EvenUp
Best fit: a firm that wants one vendor to cover intake review, medical chronologies, demand drafting and negotiation preparation, and that is willing to give the vendor access to case files.
Vendor-stated: EvenUp's home page describes a platform that reviews new files in the firm's case management system, drafts demand packages in the firm's tone, and offers verdict analyses and pain-and-suffering estimates from a dataset it describes as 250K+ verdicts and settlements. Demand drafts can be instant AI drafts or attorney-reviewed versions, which gives you an explicit human review option.
Scale and funding: EvenUp closed a $150 million Series E round in October 2025, is reported to be valued in excess of $2bn, and reports over 2,000 clients, according to Legal Technology (2025).
Our analysis: EvenUp is the only profiled tool that produces an output, such as a demand draft or value estimate, rather than only data. That makes it the most likely to change a settlement conversation. Its pricing is the least transparent of the six.
Limitations: Pricing is not published. The outcome percentages on its site are customer or vendor claims we did not verify. Output quality depends on the file data the platform can read.
Implementation: Expect a scoping step that defines which case-system records the platform reads, who approves outputs, and what data-handling terms apply before any file is connected.
CloudLex
Best fit: a firm that wants matter management, intake and settlement math in one system, and that needs an explicit fee method on every offer.
Vendor-stated: The calculator tracks demands, offers, counteroffers, liens and expenses. It supports a Deducted method and a Gross method, and it handles referral fees, per CloudLex's calculator page. The Enterprise tier includes 10-year HIPAA-compliant archival according to CloudLex (undated).
Our analysis: Of the six, this is the strongest for net-to-client math, because it models both fee methods and pulls liens and medical bills from the matter record. It is not a valuation or verdict tool, and its pages describe no verdict database.
Limitations: This is a case-system decision. Migration and retraining costs are real even if the calculator is strong. Pricing is quote-based.
Implementation: The calculator pulls liens and medical bills from the matter automatically, so the quality of those records sets the quality of the math. The Enterprise tier lists a QuickBooks Online integration for expense tracking.
VerdictSearch (ALM)
Best fit: benchmarking settlement and verdict ranges by venue, injury type, and attorney, expert or judge names.
Vendor-stated: VerdictSearch records: over 210,000 cases according to ALM VerdictSearch (current FAQ). The FAQ describes a keyword box with Boolean operators, filters for state, venue, injury type and parties, and a reporter review before each case is published.
Corroboration: A library guide describes the same database as over 210,000 detailed case reports with 15 separate search criteria, according to Jenkins Law Library (library guide).
Pricing: The pages we read show no price, and buyers contact ALM for a custom quote for the team.
Our analysis: This is a research tool, not a valuation tool. Its pages describe no valuation output and no demand drafting, so someone still has to read comparable cases and judge them.
Limitations: Coverage reflects what was submitted and reviewed, and pricing is custom.
Implementation: Access is through web search. The pages we read describe no integration, so ask about exports and seat counts.
LexisNexis Verdict & Settlement Analyzer
Best fit: firms that already license Lexis products and want verdict analytics next to legal research.
Vendor-stated: The product page describes filters for narrowing to comparable cases, dashboards of award ranges and outcome trends, and integrations with Lexis+ AI, Lex Machina, CaseMap+ AI, CourtLink and Lexis Expert Research On-Demand.
Our analysis: The strongest case is an existing Lexis contract. Without one, the first step is a contract conversation, not a product comparison.
Limitations: The page does not say whether the tool is included in Lexis subscriptions or sold separately. It publishes no price, and it offers a free trial request.
Implementation: Access depends on your Lexis contract. Confirm seat rules and whether analytics exports are included.
JuryVerdictAlert
Best fit: a California practice that needs short bursts of verdict research rather than a standing subscription.
Vendor-stated: The site offers searches by case type, attorney, expert, judge, party or injury, with printing of selected reports. Passes are the only access option we found, as described in the pricing section above.
Our analysis: This is a low-cost way to test whether verdict research changes your valuations before you commit to a larger database. It does not fit a multi-state practice.
Limitations: It covers California only. The site describes verdicts rather than settlements. The passes do not say whether they renew.
Implementation: Access is browser-based, and the pages we read describe no integration.
Anytime AI
Best fit: a firm that wants AI valuation output and is ready to run a detailed diligence process with a newer vendor.
Vendor-stated: The vendor's blog post says its software tailors valuations to injury type, medical costs, lost wages, jurisdiction, defendant profile and liability factors. It says the tool analyzes thousands of past settlements and verdicts, and that early adopters report increased average settlement amounts. The page gives no numbers, method or sources for that claim.
Our analysis: Of the six, this one asks the most of your diligence. The data sources, licensing and method are not identified.
Limitations: No pricing or plan names are shown. The page links a subscription agreement that we did not review.
Implementation: Before any file goes in, ask for the data sources, the contract terms, and sample output on a closed matter.
Why one well-known name is excluded
Colossus appears in most searches for settlement valuation, but it is built for the other side. A plaintiff-side explainer from Pendas Law describes it as a program that scores injury severity and assigns each point a dollar value, and it says Colossus inputs: 600 injury codes according to Pendas Law (undated). The same explainer says more than 50 percent of insurance adjusters use it.
Its inputs include the lawyer's trial history and whether that lawyer tends to accept a first offer, so a plaintiff firm's habits become part of an insurer's model. We found no plaintiff-side license. Use Colossus only to understand the number an adjuster is likely to bring to the table.
Settlement math is where errors reach clients
Settlement math is where the costliest errors occur, because a wrong fee method reaches the client's check. The example below uses hypothetical figures to show the gap between two methods. Illustrative example, not a case result: a claim settles for $150,000, the engagement letter sets a 33% fee, case expenses are $6,500, and one medical lien is $38,000. Under the Deducted method, case expenses come off first, leaving $143,500, and 33% of that is $47,355. The lien is paid from the client's share, so the client nets $58,145. Under the Gross method, the fee applies to the full $150,000, which is $49,500, and then the fee, expenses and lien come off, so the client nets $56,000. The $2,145 gap is why the method must match the signed fee agreement, not a tool's default.
US Tech Automations would configure the settlement step as a proposed flow, not a live deployment. The trigger is a new offer or lien record in your case system, or an offer associated with a matter in your CRM. The flow reads the offer amount, lien amounts and expense totals through an export or API, builds one net-to-client worksheet for each fee method your engagement letters use, and places the drafts in an attorney review queue. The human review point comes before anything reaches a client: an attorney confirms the fee method, the lien balances, and whether any lien is still open. Prerequisites are a documented export or API for offers, liens and expenses, role-based access so only authorized staff see medical details, and a named owner who maintains the field mapping when the case system changes. We did not confirm from the pages reviewed that CloudLex, EvenUp or the verdict databases expose a general matter-data API, so that check belongs in vendor diligence.
Benchmarks still need a human reader
A second proposed flow handles comparable-case research. The trigger is a new intake with an injury type and venue. The flow runs a search on the verdict database you license, using the filters that database exposes, and copies the closest records into a benchmark sheet attached to the matter. The output is that sheet, not a valuation. An attorney decides whether each comparable is truly comparable, because database filters cannot judge facts such as liability or the defendant's conduct. Prerequisites are a search or export your license allows, which we could not confirm for VerdictSearch or LexisNexis from public pages. If exports are not allowed, the flow can only create a task that reminds staff to run the search manually.
Stitching it together yourself
Zapier, Make and n8n can carry either flow without a managed service. Zapier's help center says Zapier retries: up to 5 attempts according to Zapier (help article). It also says replay must happen within 60 days of the trigger event, and that Filter and Paths steps are never replayed from history.
Those controls are real, and a firm can use them without outside help. The buyer still owns what a help article cannot provide: someone who reads the failed-run list every day, idempotency so a retried step does not post the same lien payment twice, an escalation path to a named attorney, access controls for medical records, and maintenance when a case-system field is renamed. Make and n8n offer comparable building blocks, so check their current documentation for retry and history behavior before you rely on any of it.
When NOT to use US Tech Automations: skip a custom flow if you license one verdict database for occasional lookups and an attorney reads every comparable anyway, if your case system's own calculator already applies each fee method your engagement letters use, or if EvenUp's demand tooling is the only piece you need and nothing downstream has to move. In those cases a simpler tool or a manual checklist wins on cost and speed.
| Vendor | Choose it if | Skip it if |
|---|---|---|
| EvenUp | You want demand drafts and value estimates from case files, and accept a vendor-led data model | You only need net-to-client math |
| CloudLex | You want matter management and settlement math in one system | You need verdict benchmarks and already run a working case system |
| VerdictSearch | You need venue-level benchmarks across states | You need demand drafting |
| LexisNexis Verdict & Settlement Analyzer | You already license Lexis and want analytics beside research | Your contract excludes it and you need only one state |
| JuryVerdictAlert | You practice in California and need short research windows | You practice outside California or need settlement data |
| Anytime AI | You want AI valuation and can run a full diligence process | You need published prices or named data sources before a purchase |
Decision checklist before you request quotes
Name the bottleneck in one sentence: benchmarking, demand drafting, or settlement accounting.
Confirm which case-system records the tool can read, and whether you can export them.
Ask which fee methods the tool supports, and make sure they match your engagement letters.
Ask whether verdict or settlement data is included, and for which states and years.
Get a written quote with seat counts, renewal terms and data-handling terms.
Ask who reviews the output, and what happens when the tool and an attorney disagree.
Common mistakes to avoid
Buying a verdict database and expecting it to draft a demand.
Comparing record counts across vendors without checking what each count measures.
Treating a valuation range as a settlement recommendation.
Letting a calculator's default fee method stand in for the signed engagement letter.
Skipping a pilot on closed matters, which is the only test that reflects your own files.
Frequently asked questions
Which of these tools publishes prices?
Only JuryVerdictAlert publishes prices on the pages we read. EvenUp, CloudLex and VerdictSearch are quote-based, and LexisNexis and Anytime AI publish no price.
Which tool has the largest verdict or settlement dataset?
By the counts on their own pages, LexisNexis cites over 1.6M records and VerdictSearch cites over 210,000 cases. The definitions differ, and neither count is independently verified.
Can a valuation tool replace attorney judgment?
We found no product page that presents its output as a final number. Treat any output as a starting range that an attorney checks against comparable cases and the file.
Do we need a separate settlement calculator if we already run a case system?
Maybe not. If your case system already applies both fee methods your engagement letters use, a separate calculator adds little. CloudLex documents both methods, so check whether your current system does the same.
Is Colossus a plaintiff-side option?
Based on the explainer we read, no. That source describes it as an insurer tool, and we found no plaintiff-side license, so treat it as the other side's model.
How should we run a pilot?
Take a set of closed matters with known settlements, run each tool's range or net-to-client output against them, and compare the misses with what the attorney estimated at the time.
Next step
Start with the bottleneck, then ask each vendor for a written quote and its export terms. Once a tool is chosen, see how US Tech Automations configures this for settlement math and benchmark review, with a named human reviewer at each decision point.
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