10x more cases evaluated

AI agent for Litigation Finance Teams

AI agent for Litigation Finance Teams

AI agent for Litigation Finance Teams

From weeks of case review to hours

From weeks of case review to hours

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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See AI agent for Litigation Finance Teams in action

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  • Mercedes-Benz logo
    SMC  logo
    Gradient rectangle
    Centerline logo
    Abstract graphic with black and white elements
    Abstract pattern with overlapping shapes.
    Alaris logo
    Progress bar with text at bottom percentage
    SITO logo
    Diagonal stripes on a rectangular background
    SVG logo for Reddit
    Grey and black abstract symbol
    Foobar logo
    ABL logo
    SVG logo for Google
    Bar chart with two bars of different heights
    Brotherhood Mutual logo
    Black and white abstract graphic.
    Paige logo
    Roche logo
    Logo with abstract shapes and text.
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
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See AI agent for Litigation Finance Teams in action

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Case Evaluation - Patterson v. MedTech Corp

  • Mercedes-Benz logo
    SMC  logo
    Gradient rectangle
    Centerline logo
    Abstract graphic with black and white elements
    Abstract pattern with overlapping shapes.
    Alaris logo
    Progress bar with text at bottom percentage
    SITO logo
    Diagonal stripes on a rectangular background
    SVG logo for Reddit
    Grey and black abstract symbol
    Foobar logo
    ABL logo
    SVG logo for Google
    Bar chart with two bars of different heights
    Brotherhood Mutual logo
    Black and white abstract graphic.
    Paige logo
    Roche logo
    Logo with abstract shapes and text.
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Light gray waveform pattern on white background
    SVG logo with black letters
    Abstract pattern with blue and green colors

See AI agent for Litigation Finance Teams in action

Play video

Decision-ready outputs from your data room

Turn diligence documents into IC-ready slides.

V7 analyses CIMs, models, contracts, DDQs, and data rooms — then generates source-linked memos, tables, and PPT files your team can edit, trust, and send.

Speak to an expert in your industry in the next 24 hours.

See how V7 turns your firm’s documents into investor-ready outputs — with every number traced back to source.

Decision-ready outputs from your data room

Turn diligence documents into IC-ready slides.

V7 analyses CIMs, models, contracts, DDQs, and data rooms — then generates source-linked memos, tables, and PPT files your team can edit, trust, and send.

Speak to an expert in your industry in the next 24 hours.

See how V7 turns your firm’s documents into investor-ready outputs — with every number traced back to source.

Decision-ready outputs from your data room

Turn diligence documents into IC-ready slides.

V7 analyses CIMs, models, contracts, DDQs, and data rooms — then generates source-linked memos, tables, and PPT files your team can edit, trust, and send.

Speak to an expert in your industry in the next 24 hours.

See how V7 turns your firm’s documents into investor-ready outputs — with every number traced back to source.

Decision-ready outputs from your data room

Turn diligence documents into IC-ready slides.

V7 analyses CIMs, models, contracts, DDQs, and data rooms — then generates source-linked memos, tables, and PPT files your team can edit, trust, and send.

Speak to an expert in your industry in the next 24 hours.

See how V7 turns your firm’s documents into investor-ready outputs — with every number traced back to source.

Time comparison

Traditional way

2-3 weeks

With V7 Go agents

2-4 hours

Average time saved

95%

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.

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.

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.

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

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Import your files

Microsoft Sharepoint Online

,

Salesforce

,

Google Drive

Import your files from whereever they are currently stored

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

12

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

12

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

OpenAI, Anthropic, Gemini logos

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

OpenAI, Anthropic, Gemini logos

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

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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Enterprise-grade security

Your data stays yours—always. Work with one of the few AI companies that never trains on your data.

  • No training on your data

  • Encrypted end-to-end

  • Audited and penetration-tested

  • Fine-grained access controls

  • Inhouse security team

  • Audit logs across every workflow

Enterprise-grade security

Your data stays yours—always. Work with one of the few AI companies that never trains on your data.

  • No training on your data

  • Encrypted end-to-end

  • Audited and penetration-tested

  • Fine-grained access controls

  • Inhouse security team

  • Audit logs across every workflow

Enterprise-grade security

Your data stays yours—always. Work with one of the few AI companies that never trains on your data.

  • No training on your data

  • Encrypted end-to-end

  • Audited and penetration-tested

  • Fine-grained access controls

  • Inhouse security team

  • Audit logs across every workflow

Precision AI for Institutional Workflows

Build once.

Deploy across the team.

Improve over time.

About

Build once.

Deploy across the team.

Improve over time.

About

Build once.

Deploy across the team.

Improve over time.