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  • Pricing & Profitability: Where Data Governance Hurts (and Pays)
    2026/07/23

    Data governance only feels abstract until it shows up in pricing decisions, write‑offs, and invoice challenges.

    In this episode, I break down:

    • The three data issues that quietly destroy margin
    • Why fixing a handful of fields beats year long data programmes
    • How one Profitability Data Product can change the conversation with partners
    • A focused 90 day, pricing led approach that delivers visible results fast

    If you want data governance that does more than tidy reports and actually shows up in margin, then this episode is for you.

    Links:

    • ⁠⁠⁠⁠⁠⁠Law Firm Data Governance Maturity Benchmark⁠⁠⁠⁠⁠⁠
    • ⁠⁠⁠⁠⁠⁠Follow CJ Anderson on LinkedIn⁠
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    8 分
  • Beyond The Policy: Fixing the Workflow
    2026/07/09

    Investing in analytics, pricing, or AI, but still battling missing fields and endless rework?

    In this episode, I talk about why data governance only truly works when it shows up inside everyday workflows and not just policy documents.

    From protecting critical data upstream, to building supportinto systems people already use.

    This episode is all about making data governance practical and visible where it matters: In the actual work of a law firm.


    Links:

    • ⁠⁠⁠⁠⁠Law Firm Data Governance Maturity Benchmark⁠⁠⁠⁠⁠
    • ⁠⁠⁠⁠⁠Follow CJ Anderson on LinkedIn

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    8 分
  • Data Dashboards: Quality You Can See
    2026/06/25

    Data quality only matters when people feel it.

    In this episode, I cover how to design data quality KPIs that actually drive behaviour (not vanity dashboards).

    I talk about practical KPIs, weekly remediation habits, andkeeping data governance focused on real exceptions.

    If your data dashboards are busy but don't offer insights, then this episode is for you.

    Links:

    • ⁠⁠⁠⁠Law Firm Data Governance Maturity Benchmark⁠⁠⁠⁠
    • ⁠⁠⁠⁠Follow CJ Anderson on LinkedIn
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    9 分
  • GenAI and RAG Fail on Messy Language
    2026/06/10

    GenAI and RAG don’t fail in law firms because the tech is weak, they fail because the language is messy.

    In this episode I break down why clear, shared taxonomies are the backbone of reliable AI.

    Plus how to design a minimal viable taxonomy that actually works with lawyer workflows, not against them.

    If your AI pilots feel promising but inconsistent, this episode is for you.

    Links:

    • ⁠⁠⁠Law Firm Data Governance Maturity Benchmark⁠⁠⁠
    • ⁠⁠⁠Follow CJ Anderson on LinkedIn
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    12 分
  • Law firms don’t have a data problem: They have a reuse problem
    2026/05/27

    Law firms don’t have a data problem: They have a reuseproblem.

    In this episode, I’m introducing data product thinking for legal teams:
    How to turn datasets like Client, Matter, and Rates into owned, trusted products with schemas, SLAs, and feedback. I'll also explain why this is the missing foundation for BI, pricing, and AI.

    If your firm keeps rebuilding the same reports, this one’s for you.

    Links:

    • ⁠⁠Law Firm Data Governance Maturity Benchmark⁠⁠
    • ⁠⁠Follow CJ Anderson on LinkedIn

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    9 分
  • Data Done Right: Federated Governance for Modern Law Firms
    2026/05/13

    Most law firms don’t have a data governance problem.

    They have a decisionrights problem.

    In this episode of the Law Firm Data GovernancePodcast, I unpack why “centralise everything” fails in law firm partnerships — and how federatedyetgoverned models create adoption without constant enforcement.

    Start with decision rights. Govern lightly. Build adoptionby design.

    If your standards exist on paper but fall apart in practice,this episode is for you.

    I cover:

    • Designing governance to fit partnership behaviour
    • Using RACIs to unlock decisions and momentum
    • Governing reference data without slowing practices down

    Links:

    • ⁠Law Firm Data Governance Maturity Benchmark⁠
    • ⁠Follow CJ Anderson on LinkedIn
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    12 分
  • Data Rivers: Creating Flow Across Client and Matter Data
    2026/04/29

    Most law firms don’t have a data problem.

    They have a flow problem.

    In the latest episode of the Law Firm Data Governance Podcast, I introduce the idea of Data Rivers, a way of designing client and matter data so it flows from intake to insight, instead of stagnating in systems and spreadsheets.

    If your reporting still starts with wrangling, or every AIpilot exposes data gaps upstream, this episode is for you.

    I cover:

    • Designing flow, not just storage
    • Governing lightly at intake and matter opening
    • Why upstream choices compound downstream value

    Links:

    • Law Firm Data Governance Maturity Benchmark
    • Follow CJ Anderson on LinkedIn
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    11 分
  • Law Firm Data Governance Season 5 Trailer
    2026/04/08

    Welcome to Season 5 of the Law Firm Data Governance podcast. I'm CJ Anderson, founder of Iron Carrot, the law firm data governance specialist. I’m thrilled to have a new season of insights about working with information and data in law firms.  

    In this season of the Law Firm Data Governance Podcast, we're talking about how firms can level up. Fast, repeatable activities, data rivers not lakes, and simple operating models that stick.

    Season 5 starts soon, so subscribe today and you'll never miss an insight.

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    1 分