Lead story
Sedona Conference Opens ESI Production Specifications for Public Comment
The Sedona Conference released proposed technical specifications covering paper and ESI production formats, metadata, load files, messaging, social media, structured data, and hyperlinked documents.
- What happened
- The Sedona Conference released proposed technical specifications covering paper and ESI production formats, metadata, load files, messaging, social media, structured data, and hyperlinked documents.
- Why it matters
- A shared production framework can reduce avoidable disputes and processing rework. Discovery teams can compare the proposed fields and format options with their standard protocols, confirm that review and export systems preserve the required relationships, and submit practical feedback before the comment period closes.
- Watch
- The specifications are a public-comment draft rather than a final standard. The accompanying report notes that the proposal does not resolve whether linked documents must be produced and does not address AI-generated forms of ESI.
SourceseDiscovery Todaythesedonaconference.org
Briefing item
ILTA Survey Finds Generative AI Use or Exploration at 94% of Responding Law Firms
ILTA's 2026 technology survey reports broad generative-AI activity across more than 500 member firms, with Microsoft 365 Copilot the most frequently used or explored product.
- What happened
- ILTA's 2026 technology survey reports broad generative-AI activity across more than 500 member firms, with Microsoft 365 Copilot the most frequently used or explored product.
- Why it matters
- The results give legal and discovery leaders a peer benchmark for adoption while showing that pilots still outnumber broad deployments for many tools. Governance programs should therefore measure actual authorized use, matter suitability, security review, user training, and output validation rather than treating vendor selection as proof of operational adoption.
- Watch
- The figures describe ILTA member firms that responded to the survey and combine products firms are using with products they are exploring. The source also notes potentially confusing Microsoft Copilot product labels in the survey.
Sourceslawnext.comiltanet.org
Briefing item
Morgan & Morgan Commits at Least $1 Billion to Legal Technology and AI
Morgan & Morgan announced a minimum ten-year, $1 billion technology and AI commitment while formally unveiling its MX2 platform for case information, drafting, medical records, search, and agentic workflows.
- What happened
- Morgan & Morgan announced a minimum ten-year, $1 billion technology and AI commitment while formally unveiling its MX2 platform for case information, drafting, medical records, search, and agentic workflows.
- Why it matters
- Embedding AI across a litigation lifecycle increases the volume of generated work product and automated data handling that may become relevant to discovery, supervision, or quality review. Teams need traceable sources, access controls, retention rules, escalation paths, and checks on legal authorities and record-derived facts at each workflow stage.
- Watch
- The spending commitment, platform capabilities, usage volumes, and performance effects are firm-reported. An earlier MX2 version was connected to a 2025 matter in which nonexistent authorities resulted in sanctions, so the current platform announcement should not be read as independent proof of reliability.
SourcesLegal IT Insiderartificiallawyer.com
Briefing item
Legora Plans Legal Ontology and AI-Native Citator for Q4 Release
Legora says it is building a structured legal ontology and citator intended to help its agents account for authority hierarchy, relationships, legal propositions, and changes over time.
- What happened
- Legora says it is building a structured legal ontology and citator intended to help its agents account for authority hierarchy, relationships, legal propositions, and changes over time.
- Why it matters
- Legal research used in investigations, privilege analysis, discovery motions, and briefs requires more than text similarity. A system that exposes authority status and provenance could improve validation, but teams should still test jurisdiction coverage, update timing, treatment signals, quotation accuracy, and links to authoritative source material before relying on results.
- Watch
- The capabilities, coverage across more than 100 countries, and quality-control process are vendor descriptions. The ontology remains in limited beta, and the sources provide no independent accuracy evaluation or complete jurisdiction-by-jurisdiction coverage list.
Sourcesartificiallawyer.comlegora.com
Briefing item
Purple Adds Former Simmons Solutions Leader to Help Firms Build Revenue-Producing AI Services
Legal-technology build studio Purple appointed former Simmons & Simmons Solutions managing director Ben McGuire as a venture partner focused on turning firm-built AI tools into client services and revenue.
- What happened
- Legal-technology build studio Purple appointed former Simmons & Simmons Solutions managing director Ben McGuire as a venture partner focused on turning firm-built AI tools into client services and revenue.
- Why it matters
- Narrow legal-AI products built on curated firm knowledge can create new delivery models, but they also turn internal know-how and matter data into governed product inputs. Firms should establish client-consent boundaries, provenance and licensing controls, evaluation criteria, access separation, update ownership, and clear responsibility for outputs before commercial deployment.
- Watch
- The article is an interview about an appointment and Purple's service model. It provides no named deployment, pricing, revenue result, or independent performance test for the described approach.
SourcesLegal IT Insider
Educational only. Not legal advice. Review sources and matter-specific obligations before relying on any workflow decision.