Knowledge Management in the Legal Profession

MAY 11, 2026

Knowledge Management in the Legal Profession: Weekly Briefing - 2026-05-11

Knowledge Management in the Legal Profession: Weekly Briefing - 2026-05-11

Internal briefing for Inside Practice. Coverage uses original and source links, with emphasis on why each development matters to legal leaders and operators.

Strategy & Operating Model

KM is being repositioned as the operating system for trustworthy legal AI

ILTA EVOLVE’s sessions make the strategic shift explicit: the question is no longer whether KM survives GenAI, but whether KM owns the context, structure and governance that make legal AI useful. Sessions on structured knowledge, context engineering and GenAI-supercharged KM frame knowledge work as infrastructure rather than a support library. For firms, this means KM leaders need a seat in AI governance, practice strategy and risk review.

Source: ILTA - EVOLVE Agenda 2026

iManage frames governed knowledge as a competitive asset

iManage’s ConnectLive preview positions the next platform evolution around AI-powered knowledge work, improved Microsoft 365 integration, tabular review, document analysis and AI governance controls. The important signal is not just product functionality. It is the market expectation that DMS and KM platforms must actively surface, govern and monitor how institutional knowledge is used across clients and matters.

Source: iManage - iManage to Unveil Platform Advancement at ConnectLive 2026

The 17 percent problem turns KM maturity into an AI adoption blocker

iManage cites benchmark data showing 85 percent of professional services firms are piloting or implementing AI, but only 17 percent have embedded it into daily operations. The diagnosis is a KM problem: inconsistent metadata, fragmented repositories and unreliable taxonomies prevent scalable AI deployment. This gives KM teams a hard business case for normalization, remediation and authoritative repositories.

Source: iManage - The 17% Problem: Why AI stalls without data readiness

AI x KM

Structured knowledge beats retrieval-only legal AI

ILTA’s “From Retrieval to Reasoning” session argues that document retrieval alone often fails when legal AI needs context, precedent and reasoning. Knowledge graphs are positioned as a way to capture relationships among matters, parties, clauses, outcomes, jurisdictions and playbooks. The practical implication is that RAG is becoming table stakes; graph-grounded legal intelligence is where defensibility and institutional learning move next.

Source: ILTA - EVOLVE Agenda 2026

Context engineering becomes the new KM superpower

ILTA’s context-engineering session reframes KM professionals as architects of information environments rather than prompt writers. The work is to shape data, metadata, matter profiles, playbooks, precedents and policies so that agents produce grounded, auditable and repeatable outcomes. This is a talent and operating-model shift for KM teams that have historically been measured on search, precedents and know-how distribution.

Source: ILTA - EVOLVE Agenda 2026

CoCounsel Legal makes grounding and verification product infrastructure

Thomson Reuters describes the next CoCounsel Legal as a beta agentic platform grounded in Westlaw and Practical Law, guided by 35 million West Key Number classifications and 3.9 million Precision Research attributes. Named beta firms include Troutman Pepper Locke, Morgan Lewis, Carlton Fields and Caplin & Drysdale. KM teams should read this as a platform-level claim: authoritative retrieval, source handling and citation flows are becoming core system architecture.

Source: Thomson Reuters - CoCounsel Legal – Reimagined

Platforms & Tooling

Lexis+ with Protégé adds agentic work, Workrooms and BYOK

LexisNexis’s Protégé expansion adds agentic skills, secure Workrooms, Shepard’s Verify Trust Markers and customer-held encryption keys. The update matters to KM because it connects research, drafting, collaboration, citation verification and encryption into one platform story. For cross-firm and firm-client work, secure shared workspaces may become the new place where KM, matter collaboration and AI governance meet.

Source: LawNext - LexisNexis Expands Lexis+ with Protégé, Adding Agentic Skills, Collaboration Workrooms, and Customer-Held Encryption Keys

NetDocuments Smart Answers turns the DMS into a source-grounded intelligence layer

NetDocuments says Smart Answers lets lawyers ask natural-language questions against firm documents and matter history, with answers grounded in the repository and citations. It also expands MCP-compatible access for AI applications and agents while preserving permissions, ethical walls and audit controls. The KM implication is that the DMS is being recast from storage layer to governed context layer.

Source: NetDocuments - NetDocuments Launches Smart Answers and Expands Direct Integration to Leading AI Models

CoCounsel release cadence keeps knowledge search close to workflow

Thomson Reuters’ April release roundup adds Westlaw content to Knowledge Search, sharing and saving of Deep Research reports, obligation extraction and tabular-analysis enhancements. The direction is clear: research, policy checking, table review and reusable work product are moving into connected workflows. KM teams should watch how these features change what counts as a precedent, research memo or reusable knowledge asset.

Source: Thomson Reuters - April’s CoCounsel Legal Releases

Filevine points KM toward matter-native case intelligence

Filevine’s AI legal assistant gives conversational access to case data across notes, documents, events and activity feeds, with capabilities for factual summaries, discrepancies, risks and suggested next steps. This is KM in a different register: not enterprise precedent libraries, but live case intelligence inside the system of work. Litigation-heavy firms should see it as part of the same KM trend.

Source: Filevine - AI Legal Assistant

Data, Privacy & Sovereignty

BYOK becomes a data-sovereignty feature for legal AI

Protégé BYOK allows customers to manage their own encryption keys through services such as AWS KMS, Azure Key Vault, Google Cloud KMS and HashiCorp Vault. For firms with cross-border clients, regulated sectors or strict outside-counsel guidelines, customer-held encryption keys are becoming part of legal AI procurement. KM leaders will need to partner with security and risk teams on the data-control story.

Source: LawNext - LexisNexis Expands Lexis+ with Protégé, Adding Agentic Skills, Collaboration Workrooms, and Customer-Held Encryption Keys

Confidential computing enters the legal AI control set

ILTA EVOLVE includes a session on confidential computing for sensitive data processed in memory, using enclaves, encryption-in-use and hardware-backed isolation. That matters for legal KM because AI systems increasingly analyze client files, contracts and evidence while still in active workflows. Firms should expect more questions from clients about not only storage and access, but also model-time data protection.

Source: ILTA - EVOLVE Agenda 2026

AI governance roadmaps now include agent monitoring and reporting

iManage says its ConnectLive roadmap will include controls over how AI is applied across clients and matters, plus monitoring and reporting on agent activity. This is a direct response to the legal sector’s need for auditable AI use. KM teams that curate context will also need to prove how that context was accessed, by whom, for which matter and under which guardrails.

Source: iManage - iManage to Unveil Platform Advancement at ConnectLive 2026

Talent & Roles

Legal AI education must explain where human oversight enters agentic systems

Thomson Reuters Institute reports that less than 20 percent of respondents say their organization is engaged in widespread agentic AI adoption, while about half are planning or considering it. The caution point is oversight: legal users need targeted education on where human review happens in autonomous workflows. KM professionals can become the translators between work design, risk posture and user training.

Source: Thomson Reuters Institute - Agentic AI following GenAI’s growth trajectory in legal, but with unique oversight challenges

The KM role shifts from search expert to context architect

Across ILTA sessions, KM-adjacent roles are being described in terms of context engineering, structured knowledge, AI-ready governance, safe workflow design and inclusive implementation. This changes the role profile. The next-generation KM professional needs taxonomy skills, matter-process fluency, platform literacy, risk judgment and the ability to turn tacit practice knowledge into machine-usable assets.

Source: ILTA - EVOLVE Agenda 2026

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