Luminance Institutional Memory
Jan 2026 platform relaunch. Persists negotiation history, prior decisions, accepted risk positions across all contracts; new terms align with what the org has already agreed. Branded as the antidote to "enterprise amnesia."
Active · Verified 2026-10-29 · fresh as of 2026-10-29 · 37 cited facts, 2 with a third-party source · 2 recorded changes · Suggest a correction
At a glance
- Tier
- T1
- Latest release
- not applicable — not OSS fix
- License
- not applicable — not OSS fix
- GitHub
- not applicable — no GitHub repo fix
- Pricing
- Enterprise only vendor fix
- Funding
- total ~$165M ($75M Series C led by Point72, 2025-02) third-party fix
- Freshness
- 2026-10-29 fix
- Layer
- agent-infra repo fix
- Licensing
- commercial vendor fix
Memory taxonomy
- storage
- vector
- retrieval
- similarity
- persistence
- long-term
- update
- extraction
- unit
- episode
- governance
- auditable
- conflict
- overwrite
When to use
Optimised for: matter-scoped privilege + audit + firm-precedent memory
Anti-fit: not for non-legal verticals; not for self-represented litigants
Pros & cons
Pros
Self-supervised model trained on a firm's prior contracts — institutional memory captures firm-specific patterns competitors don't see.
Cons
Institutional memory is a property of long Luminance deployments; benefit accrues over time, not on day one.
Claims & capabilities
North America 127% YoY 2025. First eight-figure deal landed. $75M Series C (Point72).
Technical surface
- API surface
- searched not found
- Backend storage
- searched not found
- Deployment
- Managed-only
- Embedding model
- searched not found
- Multi-tenancy
- Single-tenant: dedicated instance per customer with no co-mingling of data
- MCP
- no MCP support advertised — vertical product, no MCP server / client integration documented
- A2A
- no A2A protocol support advertised — vertical product, no A2A integration documented
- OpenTelemetry
- no OpenTelemetry integration advertised — vendor logs/observability not publicly documented
Alternatives to Luminance Institutional Memory → live options ranked by shared design, licence, hosting and MCP support
Similar systems
Other vertical / domain-specific ai memory in the catalog, ranked by inbound references.
- Inworld AI T1
Formerly an NPC character engine with named Long-Term Memory; now sells realtime voice models (TTS-2, STT-1, speech-to-speech) and OpenAI-compatible open-model inference. Character/NPC memory is no longer the headline product.
- NVIDIA ReMEmbR T3
Builds long-horizon memory by captioning video segments with VILA, storing captions with timestamps + 3D position coordinates in MilvusDB. At query time, LLM iterates retrieval across text, time, and position modalities. Deployed on Nova Carter robot (Jetson Orin).
- Abridge T1
Clinician-assist ambient documentation. Source mapping: every AI-generated summary element traced back to the source utterance. Audit-and-trust layer over episodic memory. Built on proprietary 1.5M+ medical-encounter dataset.
- ASAPP GenerativeAgent T1
Treats memory as first-class architecture. Captures the digital footprint of every interaction; retrieves preference and history at engagement time. Public example: airline knowing a frequent flyer wants aisle seats with her son — preference-aware, not just history-lookup.
- BenevolentAI T1
Taken private: merged into Osaka Holdings (renamed BenevolentAI S.A.) and delisted from Euronext Amsterdam 2025-03-13. Target identification / drug repurposing / mechanism tracing. 85+ data sources, petabyte-scale, rebuilt every few weeks. Wet-lab results re-enter the graph and shift downstream predictions — institutional experimental memory closing a feedback loop. As of Oct 2026 benevolent.com leads with Qor, powered by BenevolentAI, a life-science intelligence service for biopharma decision makers and consultancies. Qor (qor.one) is a continuously updated decision-intelligence service built on BenevolentAI's knowledge graph and reasoning methods: it tracks evidence on an asset or indication (competitive position, rival readouts, comparable deals), source-verifies each claim and flags when an earlier conclusion stops holding. It targets biotech teams and life-science consultancies.
- Causaly T1
Agentic AI platform for life sciences: orchestrated scientific agents over a curated biomedical knowledge graph (plus Bio Graph and Pipeline Graph), an evidence-retrieval system and an enterprise data fabric over literature, trials and patents.
Sources (36 cited facts, 2 third-party)
Each fact links to the page it came from; the badge says who published it (how to read sources).
- What it is Persistent negotiation history + accepted-risk registry vendor
- What it does & what's distinct Jan 2026 platform relaunch. Persists negotiation history, prior decisions, accepted risk… vendor
- Claims / benefits North America 127% YoY 2025. First eight-figure deal landed. $75M Series C (Point72). vendor
- Modalities text vendor
- Created 2015 (founded September 2015 by Adam Guthrie and Graham Sills; Cambridge UK) vendor
- Funding total ~$165M ($75M Series C led by Point72, 2025-02) third-party
- Customers / scale 51-200 ppl third-party
- Pricing Enterprise only vendor
- Compliance ISO 27001; SOC 2 Type II; GDPR-compliant vendor
- Data handling Never trains on customer data (contractual commitment to no model training on customer d… vendor
- Deployment Managed-only vendor
- HQ UK (Cambridge) vendor
- Memory volume / scale internal — undisclosed vendor
- Multi-tenancy Single-tenant: dedicated instance per customer with no co-mingling of data vendor
- Encryption AES-256 at rest (AWS KMS over S3 + EC2), TLS 1.2+ in transit (AES-128 or higher); regula… vendor
- Consistency strong consistency (legal accuracy requirement) vendor
- Versioning matter-versioned (per-matter document history) vendor
- Tombstoning matter-closure soft delete + privilege-log retention vendor
- Schema evolution schema with migration vendor
- Namespace primitives matter-per-tenant + firm-tenant (ethical-wall isolation) vendor
- Contradiction handling always overwrite (last-write-wins) vendor
- Forgetting policy matter-retention policy (firm-defined; commonly 7-10 years post-matter-close per state b… vendor
- Validated verticals legal (BigLaw, plaintiff litigation, in-house, transactional, contracts) vendor
- Time to running <1week to weeks-to-months (firm procurement + matter integration) vendor
- Anti-fit not for non-legal verticals; not for self-represented litigants vendor
- Optimised for matter-scoped privilege + audit + firm-precedent memory vendor
- Adjacent infrastructure requires DMS / case-management integration + identity provider vendor
- Pros Self-supervised model trained on a firm's prior contracts — institutional memory capture… vendor
- Cons Institutional memory is a property of long Luminance deployments; benefit accrues over t… vendor
- Project & sources luminance.com vendor
- cost-pricing-model subscription vendor
- cost-last-verified 2026-06-29 vendor
- architecture-deployment-locus cloud vendor
- licensing-bucket commercial vendor
- positioning-platform-vs-product product vendor
- taxonomy-three-layer-rollup agent-infra repo
What changed
Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)
- 2026-10-29
- Homepage “https://www.luminance.com/press/luminance-launches-new-legal-ai-with-institutional-memory-addressing-enterprise-amnesia-and-giving-legal-teams-30-of-their-time-back/” → “https://www.luminance.com/press-releases/luminance-launches-new-legal-ai-with-institutional-memory-addressing-enterprise-amnesia-and-giving-legal-teams-30-of-their-time-back”
- 2026-10-22
- Funding / ownership “$115M total Series C · 2025-02” → “total ~$165M ($75M Series C led by Point72, 2025-02)” source