10x more cases evaluated

AI agent for Litigation Finance Teams

From weeks of case review to hours

Delegate the initial case evaluation to a specialized AI agent. It analyzes pleadings, discovery documents, and comparable precedents to assess win probability, estimate claim value, and identify key risk factors, allowing your investment team to focus on strategic portfolio decisions and deal structuring.

Ideal for

Litigation Funders

Legal Finance Firms

Investment Committees

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    SMC  logo
    Mercedes-Benz logo
    Centerline logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
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    Mercedes-Benz logo
    Paige logo
    Roche logo
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Case Evaluation - Patterson v. MedTech Corp

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Time comparison

Time comparison

Traditional way

2-3 weeks

With V7 Go agents

2-4 hours

Average time saved

95%

Why V7 Go

Why V7 Go

Automated Precedent Analysis

Searches and analyzes hundreds of comparable cases in the relevant jurisdiction, extracting verdict amounts, settlement ranges, and outcome patterns to establish baseline expectations for claim value.

Automated Precedent Analysis

Searches and analyzes hundreds of comparable cases in the relevant jurisdiction, extracting verdict amounts, settlement ranges, and outcome patterns to establish baseline expectations for claim value.

Automated Precedent Analysis

Searches and analyzes hundreds of comparable cases in the relevant jurisdiction, extracting verdict amounts, settlement ranges, and outcome patterns to establish baseline expectations for claim value.

Automated Precedent Analysis

Searches and analyzes hundreds of comparable cases in the relevant jurisdiction, extracting verdict amounts, settlement ranges, and outcome patterns to establish baseline expectations for claim value.

Win Probability Assessment

Evaluates the strength of liability evidence, quality of expert testimony, procedural posture, and judge assignment to generate a data-driven probability estimate for plaintiff success.

Win Probability Assessment

Evaluates the strength of liability evidence, quality of expert testimony, procedural posture, and judge assignment to generate a data-driven probability estimate for plaintiff success.

Win Probability Assessment

Evaluates the strength of liability evidence, quality of expert testimony, procedural posture, and judge assignment to generate a data-driven probability estimate for plaintiff success.

Win Probability Assessment

Evaluates the strength of liability evidence, quality of expert testimony, procedural posture, and judge assignment to generate a data-driven probability estimate for plaintiff success.

Damages Calculation

Extracts economic loss figures, medical expenses, and pain and suffering claims from pleadings and discovery to model potential damages ranges based on jurisdiction-specific multipliers and caps.

Damages Calculation

Extracts economic loss figures, medical expenses, and pain and suffering claims from pleadings and discovery to model potential damages ranges based on jurisdiction-specific multipliers and caps.

Damages Calculation

Extracts economic loss figures, medical expenses, and pain and suffering claims from pleadings and discovery to model potential damages ranges based on jurisdiction-specific multipliers and caps.

Damages Calculation

Extracts economic loss figures, medical expenses, and pain and suffering claims from pleadings and discovery to model potential damages ranges based on jurisdiction-specific multipliers and caps.

Attorney Track Record Verification

Cross-references counsel information against historical case outcomes, settlement patterns, and trial experience to assess the quality of legal representation and its impact on expected value.

Attorney Track Record Verification

Cross-references counsel information against historical case outcomes, settlement patterns, and trial experience to assess the quality of legal representation and its impact on expected value.

Attorney Track Record Verification

Cross-references counsel information against historical case outcomes, settlement patterns, and trial experience to assess the quality of legal representation and its impact on expected value.

Attorney Track Record Verification

Cross-references counsel information against historical case outcomes, settlement patterns, and trial experience to assess the quality of legal representation and its impact on expected value.

Risk Factor Identification

Flags procedural issues, statute of limitations concerns, contributory negligence defenses, and other case-specific risks that could reduce recovery or increase the probability of an adverse outcome.

Risk Factor Identification

Flags procedural issues, statute of limitations concerns, contributory negligence defenses, and other case-specific risks that could reduce recovery or increase the probability of an adverse outcome.

Risk Factor Identification

Flags procedural issues, statute of limitations concerns, contributory negligence defenses, and other case-specific risks that could reduce recovery or increase the probability of an adverse outcome.

Risk Factor Identification

Flags procedural issues, statute of limitations concerns, contributory negligence defenses, and other case-specific risks that could reduce recovery or increase the probability of an adverse outcome.

Portfolio-Level Intelligence

Aggregates insights across your entire case pipeline to identify patterns in case types, jurisdictions, and attorney performance, enabling more strategic capital allocation decisions.

Portfolio-Level Intelligence

Aggregates insights across your entire case pipeline to identify patterns in case types, jurisdictions, and attorney performance, enabling more strategic capital allocation decisions.

Portfolio-Level Intelligence

Aggregates insights across your entire case pipeline to identify patterns in case types, jurisdictions, and attorney performance, enabling more strategic capital allocation decisions.

Portfolio-Level Intelligence

Aggregates insights across your entire case pipeline to identify patterns in case types, jurisdictions, and attorney performance, enabling more strategic capital allocation decisions.

Analyzes every document in the case file

To deliver a comprehensive investment evaluation.

Get started

Get started

Logo
Logo

Import your files

Microsoft Sharepoint Online

,

Salesforce

,

Google Drive

Import your files from whereever they are currently stored

Customer voices

Customer voices

Connect AI to your case evaluation playbook.

Connect AI to your case evaluation playbook.

Deploy capital faster with data-driven case assessments.

Deploy capital faster with data-driven case assessments.

Finance

Legal

Insurance

Tax

Real Estate

Finance

Legal

Insurance

Tax

Real Estate

Finance

Legal

Insurance

Tax

Real Estate

Customer Voices

Industrial equipment sales

We are looking for V7 Go and AI in general to be the beating heart of our company and our growth. It will make us more productive as a company, liaising with customers, automating tasks, even finding new work.

Read the full story

Industrial equipment sales

We are looking for V7 Go and AI in general to be the beating heart of our company and our growth. It will make us more productive as a company, liaising with customers, automating tasks, even finding new work.

Read the full story

Insurance

We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.

Read the full story

Insurance

We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.

Read the full story

Real Estate

Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.

Read the full story

Real Estate

Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.

Read the full story

Features

Features

Results you can actually trust.
Reliable AI document processing toolkit.

Results you can trust.
Trustworthy AI document processing toolkit.

Supporting complex documents.

Up to 200 pages.

Case files are messy and inconsistent. This agent handles everything from scanned pleadings and handwritten discovery notes to expert reports with complex medical terminology and financial exhibits with dense tables.

Input types

50+ languages

Handwritten Notes

200 pages

Multi-modal

Document types

PDFs

Scanned Files

Complex Tables

Medical Charts

Financial Exhibits

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.

Up to 200 pages.

Case files are messy and inconsistent. This agent handles everything from scanned pleadings and handwritten discovery notes to expert reports with complex medical terminology and financial exhibits with dense tables.

Input types

50+ languages

Handwritten Notes

200 pages

Multi-modal

Document types

PDFs

Scanned Files

Complex Tables

Medical Charts

Financial Exhibits

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.

Up to 200 pages.

Case files are messy and inconsistent. This agent handles everything from scanned pleadings and handwritten discovery notes to expert reports with complex medical terminology and financial exhibits with dense tables.

Input types

50+ languages

Handwritten Notes

200 pages

Multi-modal

Document types

PDFs

Scanned Files

Complex Tables

Medical Charts

Financial Exhibits

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate

through GenAI reasoning.

Investment decisions require precision. The agent uses sophisticated legal reasoning to extract damages figures, identify liability theories, and assess procedural risks with the accuracy needed for confident capital deployment.

Model providers

Security note

V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.

Answer

Type

Text

Tool

o4 Mini

Reasoning effort

Min

Low

Mid

High

AI Citations

Inputs

Set a prompt (Press @ to mention an input)

Reach 99% accuracy rate

through GenAI reasoning.

Investment decisions require precision. The agent uses sophisticated legal reasoning to extract damages figures, identify liability theories, and assess procedural risks with the accuracy needed for confident capital deployment.

Model providers

Security note

V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.

Answer

Type

Text

Tool

o4 Mini

Reasoning effort

Min

Low

Mid

High

AI Citations

Inputs

Set a prompt (Press @ to mention an input)

Reach 99% accuracy rate

through GenAI reasoning.

Investment decisions require precision. The agent uses sophisticated legal reasoning to extract damages figures, identify liability theories, and assess procedural risks with the accuracy needed for confident capital deployment.

Model providers

Security note

V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.

Answer

Type

Text

Tool

o4 Mini

Reasoning effort

Min

Low

Mid

High

AI Citations

Inputs

Set a prompt (Press @ to mention an input)

Trustworthy results,

grounded in reality.

Every assessment is verifiable. Each damages figure, precedent citation, and risk factor is visually linked to its source in the case file, providing a complete audit trail for investment committee review and due diligence.

Visual grounding in action

00:54

Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.

Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.

Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.

Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.

Prior Warning and Ignoring Compliance

02

01

01

02

Trustworthy results,

grounded in reality.

Every assessment is verifiable. Each damages figure, precedent citation, and risk factor is visually linked to its source in the case file, providing a complete audit trail for investment committee review and due diligence.

Visual grounding in action

00:54

Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.

Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.

Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.

Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.

Prior Warning and Ignoring Compliance

02

01

01

02

Trustworthy results,

grounded in reality.

Every assessment is verifiable. Each damages figure, precedent citation, and risk factor is visually linked to its source in the case file, providing a complete audit trail for investment committee review and due diligence.

Visual grounding in action

00:54

Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.

Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.

Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.

Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.

Prior Warning and Ignoring Compliance

02

01

01

02

Enterprise grade security

for high-stake industries.

Case files contain highly confidential attorney work product and privileged information. V7 Go processes all documents in your secure environment with bank-level encryption, ensuring client confidentiality and attorney-client privilege protection.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for high-stake industries.

Case files contain highly confidential attorney work product and privileged information. V7 Go processes all documents in your secure environment with bank-level encryption, ensuring client confidentiality and attorney-client privilege protection.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for high-stake industries.

Case files contain highly confidential attorney work product and privileged information. V7 Go processes all documents in your secure environment with bank-level encryption, ensuring client confidentiality and attorney-client privilege protection.

Certifications

GPDR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

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Answers

Answers

What you need to know about our

AI agent for Litigation Finance Teams

How does the agent estimate win probability?

The agent uses a multi-factor analysis that considers the strength of liability evidence, quality of expert witnesses, procedural posture, judge assignment, and historical outcomes in comparable cases. It does not replace legal judgment but provides a data-driven baseline for investment committee review.

+

How does the agent estimate win probability?

The agent uses a multi-factor analysis that considers the strength of liability evidence, quality of expert witnesses, procedural posture, judge assignment, and historical outcomes in comparable cases. It does not replace legal judgment but provides a data-driven baseline for investment committee review.

+

How does the agent estimate win probability?

The agent uses a multi-factor analysis that considers the strength of liability evidence, quality of expert witnesses, procedural posture, judge assignment, and historical outcomes in comparable cases. It does not replace legal judgment but provides a data-driven baseline for investment committee review.

+

Can it handle different case types and jurisdictions?

Yes. The agent is designed to analyze commercial litigation, personal injury, mass torts, intellectual property disputes, and other case types. It adapts its precedent search and damages modeling to jurisdiction-specific rules, damage caps, and procedural requirements.

+

Can it handle different case types and jurisdictions?

Yes. The agent is designed to analyze commercial litigation, personal injury, mass torts, intellectual property disputes, and other case types. It adapts its precedent search and damages modeling to jurisdiction-specific rules, damage caps, and procedural requirements.

+

Can it handle different case types and jurisdictions?

Yes. The agent is designed to analyze commercial litigation, personal injury, mass torts, intellectual property disputes, and other case types. It adapts its precedent search and damages modeling to jurisdiction-specific rules, damage caps, and procedural requirements.

+

How does it access legal precedents?

The agent connects to your firm's Knowledge Hub, which can include internal case databases, Westlaw or LexisNexis research, and proprietary outcome data. It uses semantic search to find the most relevant precedents based on case facts, not just keyword matching.

+

How does it access legal precedents?

The agent connects to your firm's Knowledge Hub, which can include internal case databases, Westlaw or LexisNexis research, and proprietary outcome data. It uses semantic search to find the most relevant precedents based on case facts, not just keyword matching.

+

How does it access legal precedents?

The agent connects to your firm's Knowledge Hub, which can include internal case databases, Westlaw or LexisNexis research, and proprietary outcome data. It uses semantic search to find the most relevant precedents based on case facts, not just keyword matching.

+

Is the case data kept confidential?

Absolutely. V7 Go is built with enterprise-grade security for financial services. All case files are processed in your secure environment, and no data is shared externally or used to train third-party models. The platform meets SOC 2 and GDPR requirements.

+

Is the case data kept confidential?

Absolutely. V7 Go is built with enterprise-grade security for financial services. All case files are processed in your secure environment, and no data is shared externally or used to train third-party models. The platform meets SOC 2 and GDPR requirements.

+

Is the case data kept confidential?

Absolutely. V7 Go is built with enterprise-grade security for financial services. All case files are processed in your secure environment, and no data is shared externally or used to train third-party models. The platform meets SOC 2 and GDPR requirements.

+

What is the final output format?

The agent delivers a structured investment memo that includes win probability estimate, damages range, comparable case analysis, risk factors, and attorney assessment. This can be customized to match your firm's internal underwriting template and exported to Excel or PDF.

+

What is the final output format?

The agent delivers a structured investment memo that includes win probability estimate, damages range, comparable case analysis, risk factors, and attorney assessment. This can be customized to match your firm's internal underwriting template and exported to Excel or PDF.

+

What is the final output format?

The agent delivers a structured investment memo that includes win probability estimate, damages range, comparable case analysis, risk factors, and attorney assessment. This can be customized to match your firm's internal underwriting template and exported to Excel or PDF.

+

How quickly can it evaluate a new case?

Once configured with your evaluation criteria and connected to your precedent database, the agent can deliver an initial assessment in 2-4 hours for a standard case file. This allows your team to screen 10x more opportunities with the same resources.

+

How quickly can it evaluate a new case?

Once configured with your evaluation criteria and connected to your precedent database, the agent can deliver an initial assessment in 2-4 hours for a standard case file. This allows your team to screen 10x more opportunities with the same resources.

+

How quickly can it evaluate a new case?

Once configured with your evaluation criteria and connected to your precedent database, the agent can deliver an initial assessment in 2-4 hours for a standard case file. This allows your team to screen 10x more opportunities with the same resources.

+

Next steps

Next steps

Passing on good cases because you can't evaluate them fast enough?

Send us a recent case file and we'll show you how our AI agent can deliver a comprehensive investment evaluation in hours, not weeks.

Uncover hidden liabilities

in

supplier contracts.

V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:

Uncover hidden liabilities

in

supplier contracts.

V7 Go transforms documents into strategic assets. 150+ enterprises are already on board: