风险与合规支持

风险与合规支持

风险不会礼貌地提前通知。它会在截止日期、审查压力和高压情况下出现。Lineal 帮助法律团队为这些时刻做好准备,并在风险出现时掌控局面——通过明确的责任分配、规范的工作流程和记录在案的执行,确保在错误代价高昂且信心至关重要的情况下稳健应对。

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为压力而非理论设计的支持

我们提前定义责任,控制数据流动,并在决策发生时进行记录——
为紧急的风险与合规事务提供结构化支持。

  • DSAR 与全球数据权利响应

    DSAR 通常是更大问题的首要环节。提前掌控主动权。我们帮助团队在各区域和系统中实施可重复的 intake、识别、审查和响应工作流程,并提供跟踪与记录,以支持截止日期,同时避免让组织陷入持续混乱。

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  • 法律保全与合规计划

    法律保全往往默默失效——而后果会在之后明显显现。我们设计并运营法律保全与合规计划,设定明确的触发事件、标准化的沟通、集中跟踪以及在现代数据源上的可辩护记录。该类计划旨在确保一致执行,并在数月或数年后审查时能够清晰解释。

  • 监管与隐私准备

    监管调查会惩罚不确定性。我们帮助组织做好准备,通过映射数据源、明确托管范围,并在问题出现前将治理与监管预期对齐。当调查开始时,法律团队不是从零开始——而是基于已记录、已理解的数据状态进行响应。

  • 数据泄露与事件响应

    在数据泄露事件中,首要任务是确定哪些数据被访问、泄露或窃取——并以能够经受审查的方式记录这些发现。

    当事件发生时,我们建立明确的响应责任,保存证据,并控制信息的收集与处理方式,使团队能够快速识别受影响的数据类型、绘制范围和影响,并自信地进行报告——同时避免事实污染或在法律、IT 与第三方之间产生可辩护性漏洞。

  • 支持专家证人来源

    对潜在事实模式、成本估算和风险因素的早期可见性。我们量化范围并优先处理重要事项,使策略从数据现实出发。

案例研究

  • 行业: Corporate

    Accelerating Multi-Jurisdiction Competition Audit Review

    Read the Case Study

    Challenge:

    Seven countries. Nine languages. 8.6 million documents. A competition law audit that traditional review could not finish in time.

    Outcome:

    Audit completed on time. Out of 8.6 million documents loaded, only 87,000 required human review. Defensible, regulator-ready results across every jurisdiction.

    • 8.6M

      Documents loaded across seven countries and nine languages.

    • ~87K

      Documents actually reviewed. A fraction of the total population.

    • 7 Countries, 9 Languages

      Consistent, defensible relevance determinations across every jurisdiction.

    Read the Case Study
  • 行业: Financial services

    Anti-Money Laundering Investigation for a Global Bank

    Read the Case Study

    Challenge:

    A major global bank faced an AML investigation requiring review of 12+ million documents under a strict 3-month deadline. High-risk data patterns needed precise identification, and the cost of a traditional review approach was not an option.

    Outcome:

    Lineal reduced review volume by 97%. Fewer than 3% of documents required manual assessment. Deadline met, defensible results delivered, fixed fee.

    • 97%

      Review volume reduced with less than 3% of documents touched by human reviewers.

    • 12M+

      Documents processed using AI-powered categorization and clustering.

    • 3 Months

      Regulatory deadline met with no delays.

    Read the Case Study
  • 行业: Pharmaceutical

    Defensible Scope Reduction in High-Stakes Pharmaceutical IP Litigation

    Read the Case Study

    Challenge:

    A Fortune 100 pharmaceutical company needed to review a large, complex document population under litigation pressure. Traditional first-pass review models would have been too slow, too expensive, and too inconsistent.

    Outcome:

    Lineal eliminated first-pass review entirely. Over 95% of the document population was reduced before a human reviewer saw a single document. Full defensibility maintained.

    • 95%+

      Review volume reduced before human review began.

    • 70%

      Additional reduction post-Amplify™ through AI-assisted relevance assessment.

    • 100%

      Defensible decisions with documented, SME-governed coding logic.

    Read the Case Study
  • 行业: Law Firms

    Document Review in Criminal Investigation

    Read the Case Study

    Challenge:

    52,795 FBI-provided documents for the Andrade criminal investigation. A status conference deadline. The case team needed to move beyond linear review and organize the full universe by concept.

    Outcome:

    Amplify™ tools covered 98% of the document universe. Textual Near Duplicate Identification handled 68%. Lineal Images addressed the remaining 30% of image file types. Deadline met.

    • 52,795

      FBI-provided documents reviewed for the status conference.

    • 68%

      Document universe addressed by Textual Near Duplicate Identification.

    • 30%

      Image file types addressed by Lineal Images classification.

    Read the Case Study
  • 行业: Law Firms

    Efficient Data Management for a Complex Legal Dispute

    Read the Case Study

    Challenge:

    3 million documents from 140+ custodians, transferred from a previous vendor. The data needed to be verified for completeness, then the legal team needed a fast path to the evidence that mattered.

    Outcome:

    The full Amplify™ Suite of Tools cut through the volume. Email threading, BotDetector, PrivFinder, Snippets, and Lineal Images each took a layer off until the legal team had a clear path to relevant evidence.

    • 3M

      Documents processed from 140+ custodians.

    • 641,098

      Documents reduced through email threading alone.

    • 731,681

      Documents ring-fenced for targeted privilege review with PrivFinder.

    Read the Case Study
  • 行业: Corporate

    High-Volume Data Breach Response for a Fortune 20 Retailer

    Read the Case Study

    Challenge:

    A major ransomware incident. 22 million structured records with PII and PHI exposed. Three weeks to figure out who was affected and meet federal and state notification requirements.

    Outcome:

    Lineal delivered a precise breach assessment within the deadline. Defensible, regulator-ready output. Reduced class-action exposure through accurate identification of affected individuals.

    • 22M+

      Structured records processed containing PII and PHI.

    • 3 Weeks

      Regulatory notification deadline met with defensible output.

    • 0

      Large-scale manual review required. Automated detection throughout.

    Read the Case Study

为什么选择 Lineal

行业领先的专业知识,
以您的方式提供

我们对以数据为中心的取证、个性化服务和持续创新的坚定承诺,使我们与众不同。

  • 执行力造就不同

    大多数风险与合规计划在纸面上看起来不错,但真正的考验是在压力下的执行。Lineal 的设计基于工作如何被负责、决策如何被做出以及在审查增加时行动如何被记录。

  • 准备工作可防止混乱

    我们帮助团队在紧急情况出现前建立明确的响应角色、定义的升级路径和可重复的工作流程——这样在关键时刻响应会更快速、冷静且可控。

  • 可辩护性,无需额外解释

    我们的工作流程设计确保每项操作都可以被重建并自信地解释。证据链、文档记录和决策逻辑内置于执行过程中,而不是在出现问题时事后补充。

  • 领导力在关键时刻显现

    当情况升级时,我们提供经验丰富的领导,指导下一步行动、协调各方利益相关者,并保持执行进度——确保团队不会在流程争论中浪费时间,同时风险累积。

  • 与法律工作实际运作紧密集成

    风险与合规不是孤立运作的。我们的方法与取证和法律运营保持一致,从首次响应到问题解决,确保数据处理、决策和文档记录始终一致。

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